imageio-2.1.2/0000755000000000000000000000000013055262616011632 5ustar rootrootimageio-2.1.2/docs/0000755000000000000000000000000013055262616012562 5ustar rootrootimageio-2.1.2/docs/installation.rst0000666000000000000000000000134413022044152016006 0ustar rootrootInstalling imageio ================== Imageio is written in pure Python, so installation is easy. Imageio works on Python 2.6 and up (including Python 3). It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you download and store in a folder in your application data. To install imageio, use one of the following methods: * If you are in a conda env: ``conda install -c conda-forge imageio`` * If you have pip: ``pip install imageio`` * Good old ``python setup.py install`` For developers, we provide a simple mechanism to allow importing imageio from the cloned repository. See the file ``imageio.proxy.io`` for details. imageio-2.1.2/docs/conf.py0000666000000000000000000002022413027530536014063 0ustar rootroot# -*- coding: utf-8 -*- # # imageio documentation build configuration file, created by # sphinx-quickstart on Thu May 17 16:58:47 2012. # # This file is execfile()d with the current directory set to its containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All configuration values have a default; values that are commented out # serve to show the default. import sys, os # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. #sys.path.insert(0, os.path.abspath('.')) sys.path.insert(0, os.path.abspath('ext')) # -- General configuration ----------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. #needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. extensions = ['sphinx.ext.autodoc', #'sphinx.ext.autosummary', 'numpydoc', 'imageio_ext', ] # Monkey-patch numpydoc to don't do the autosummary thing from numpydoc.docscrape_sphinx import SphinxDocString assert SphinxDocString._str_member_list SphinxDocString._str_member_list = lambda self, name: [] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix of source filenames. source_suffix = '.rst' # The encoding of source files. #source_encoding = 'utf-8-sig' # The master toctree document. master_doc = 'index' # General information about the project. project = u'imageio' copyright = u'2015, imageio contributors' # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # # The short X.Y version. import imageio # The short X.Y version. version = imageio.__version__[:3] # The full version, including alpha/beta/rc tags. release = imageio.__version__ # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. #language = None # There are two options for replacing |today|: either, you set today to some # non-false value, then it is used: #today = '' # Else, today_fmt is used as the format for a strftime call. #today_fmt = '%B %d, %Y' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns = ['_build'] # The reST default role (used for this markup: `text`) to use for all documents. #default_role = None # If true, '()' will be appended to :func: etc. cross-reference text. #add_function_parentheses = True # If true, the current module name will be prepended to all description # unit titles (such as .. function::). #add_module_names = True # If true, sectionauthor and moduleauthor directives will be shown in the # output. They are ignored by default. #show_authors = False # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # A list of ignored prefixes for module index sorting. #modindex_common_prefix = [] # -- Options for HTML output --------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. #html_theme = 'default' # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. #html_theme_options = {} # Add any paths that contain custom themes here, relative to this directory. #html_theme_path = [] # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". #html_title = None # A shorter title for the navigation bar. Default is the same as html_title. #html_short_title = None # The name of an image file (relative to this directory) to place at the top # of the sidebar. #html_logo = None # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. #html_favicon = None # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = [] # ['_static'] # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. #html_last_updated_fmt = '%b %d, %Y' # If true, SmartyPants will be used to convert quotes and dashes to # typographically correct entities. #html_use_smartypants = True # Custom sidebar templates, maps document names to template names. #html_sidebars = {} # Additional templates that should be rendered to pages, maps page names to # template names. #html_additional_pages = {} # If false, no module index is generated. #html_domain_indices = True # If false, no index is generated. #html_use_index = True # If true, the index is split into individual pages for each letter. #html_split_index = False # If true, links to the reST sources are added to the pages. #html_show_sourcelink = True # If true, "Created using Sphinx" is shown in the HTML footer. Default is True. #html_show_sphinx = True # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. #html_show_copyright = True # If true, an OpenSearch description file will be output, and all pages will # contain a tag referring to it. The value of this option must be the # base URL from which the finished HTML is served. #html_use_opensearch = '' # This is the file name suffix for HTML files (e.g. ".xhtml"). #html_file_suffix = None # Output file base name for HTML help builder. htmlhelp_basename = 'imageiodoc' # -- Options for LaTeX output -------------------------------------------------- latex_elements = { # The paper size ('letterpaper' or 'a4paper'). #'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). #'pointsize': '10pt', # Additional stuff for the LaTeX preamble. #'preamble': '', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [ ('index', 'imageio.tex', u'imageio Documentation', u'imageio contributors', 'manual'), ] # The name of an image file (relative to this directory) to place at the top of # the title page. #latex_logo = None # For "manual" documents, if this is true, then toplevel headings are parts, # not chapters. #latex_use_parts = False # If true, show page references after internal links. #latex_show_pagerefs = False # If true, show URL addresses after external links. #latex_show_urls = False # Documents to append as an appendix to all manuals. #latex_appendices = [] # If false, no module index is generated. #latex_domain_indices = True # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ ('index', 'imageio', u'imageio Documentation', [u'imageio contributors'], 1) ] # If true, show URL addresses after external links. #man_show_urls = False # -- Options for Texinfo output ------------------------------------------------ # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ ('index', 'imageio', u'imageio Documentation', u'imageio contributors', 'imageio', 'One line description of project.', 'Miscellaneous'), ] # Documents to append as an appendix to all manuals. #texinfo_appendices = [] # If false, no module index is generated. #texinfo_domain_indices = True # How to display URL addresses: 'footnote', 'no', or 'inline'. #texinfo_show_urls = 'footnote' # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = {'http://docs.python.org/': None}imageio-2.1.2/docs/index.rst0000666000000000000000000000030212615243100014406 0ustar rootrootWelcome to imageio's documentation! =================================== .. automodule:: imageio Contents: .. toctree:: :maxdepth: 2 sec_gettingstarted sec_reference sec_developer imageio-2.1.2/docs/sec_developer.rst0000666000000000000000000000023512615243100016123 0ustar rootroot======================= Developer documentation ======================= .. toctree:: :maxdepth: 2 Developer API Writing plugins imageio-2.1.2/docs/ext/0000755000000000000000000000000013055262616013362 5ustar rootrootimageio-2.1.2/docs/ext/imageio_ext.py0000666000000000000000000001647313027530536016243 0ustar rootroot""" Invoke various functionality for imageio docs. """ import os import sys import imageio THIS_DIR = os.path.dirname(os.path.abspath(__file__)) DOC_DIR = os.path.dirname(THIS_DIR) files_to_remove = [] def setup(app): init() app.connect('build-finished', clean) def init(): print('Special preparations for imageio docs:') for func in [prepare_reader_and_witer, prepare_core_docs, create_plugin_docs, create_format_docs, create_standard_images_docs, ]: print(' ' + func.__doc__.strip()) func() def clean(app, *args): for fname in files_to_remove: filename = os.path.join(DOC_DIR, fname) if os.path.isfile(filename): os.remove(filename) def _write(fname, text): files_to_remove.append(fname) with open(os.path.join(DOC_DIR, fname), 'wb') as f: f.write(text.encode('utf-8')) ## def prepare_reader_and_witer(): """ Prepare Format.Reader and Format.Writer for doc generation. """ # Create Reader and Writer subclasses that are going to be placed # in the format module so that autoclass can find them. They need # to be new classes, otherwise sphinx considers them aliases. # We create the class using type() so that we can copy the __doc__. Reader = type('Reader', (imageio.core.format.Format.Reader, ), {'__doc__':imageio.core.format.Format.Reader.__doc__ }) Writer = type('Writer', (imageio.core.format.Format.Writer, ), {'__doc__':imageio.core.format.Format.Writer.__doc__ }) imageio.core.format.Reader = Reader imageio.core.format.Writer = Writer # We set the docs of the original classes, and remove the original # classes so that Reader and Writer do not show up in the docs of # the Format class. imageio.core.format.Format.Reader = None # .__doc__ = '' imageio.core.format.Format.Writer = None # .__doc__ = '' def prepare_core_docs(): """ Prepare imageio.core for doc generation. """ # Set __all__ and add to __doc__ in imageio.core module, # so that the documentation gets generated correctly. D = imageio.core.__dict__ excludes = 'binary_type', 'text_type' # Collect functions and classes in imageio.core functions, classes = [], [] func_type = type(prepare_core_docs) for name in D: if name.startswith('_') or name in excludes: continue ob = D[name] if isinstance(ob, type): classes.append(name) elif isinstance(ob, func_type): functions.append(name) # Write summaries classes.sort() functions.sort() extradocs = '\nFunctions: ' extradocs += ', '.join([':func:`.%s`' % n for n in functions]) extradocs += '\n\nClasses: ' extradocs += ', '.join([':class:`.%s`' % n for n in classes]) extradocs += '\n\n----\n' # Update D['__doc__'] += extradocs D['__all__'] = functions + classes def create_plugin_docs(): """ Create docs for creating plugins. """ # Build main plugin dir title = "Creating imageio plugins" text = '%s\n%s\n\n' % (title, '=' * len(title)) text += '.. automodule:: imageio.plugins\n\n' # Insert code from example plugin text += 'Example / template plugin\n-------------------------\n\n' text += ".. code-block:: python\n :linenos:\n\n" filename = imageio.plugins.example.__file__.replace('.pyc', '.py') code = open(filename, 'rb').read().decode('utf-8') code = '\n'.join([' ' + line.rstrip() for line in code.splitlines()]) text += code # Write _write('plugins.rst', text) format_doc_text = """ This page lists all formats currently supported by imageio. Each format can support extra keyword arguments for reading and writing, which can be specified in the call to ``get_reader()``, ``get_writer()``, ``imread()``, ``imwrite()`` etc. Further, formats are free to provide additional methods on their Reader and Writer objects. These parameters and extra methods are specified in the documentation for each format. """ def create_format_docs(): """ Create documentation for the formats. """ # Build main plugin dir title = "Imageio formats" text = '%s\n%s\n%s\n\n' % ('=' * len(title), title, '=' * len(title)) text += format_doc_text # Get bullet list of all formats ss = ['\n'] covered_formats = [] modemap = {'i': 'Single images', 'I': 'Multiple images', 'v': 'Single volumes', 'V': 'Multiple volumes', } for mode in 'iIvV-': subtitle = modemap.get(mode, 'Unsorted') subs = [] for format in imageio.formats: if ((mode in format.modes) or (mode == '-' and format not in covered_formats)): covered_formats.append(format) s = ' * :ref:`%s <%s>` - %s' % (format.name, format.name, format.description) subs.append(s) if subs: ss.append('%s\n%s\n' % (subtitle, '^' * len(subtitle))) ss.extend(subs) ss.append('') text += '\n'.join(ss) + '\n\n' _write('formats.rst', text) # Get more docs for each format for format in imageio.formats: title = '%s %s' % (format.name, format.description) ext = ', '.join(['``%s``' % e for e in format.extensions]) ext = ext or 'None' # text = ':orphan:\n\n' text += '.. _%s:\n\n' % format.name text += '%s\n%s\n\n' % (title, '='*len(title)) # text += 'Extensions: %s\n\n' % ext docs = ' ' + format.__doc__.lstrip() docs = '\n'.join([x[4:].rstrip() for x in docs.splitlines()]) # text += docs + '\n\n' #members = '\n :members:\n\n' #text += '.. autoclass:: %s.Reader%s' % (format.__module__, members) #text += '.. autoclass:: %s.Writer%s' % (format.__module__, members) _write('format_%s.rst' % format.name.lower(), text) def create_standard_images_docs(): """ Create documentation for imageio's standard images. """ title = "Imageio standard images" text = '%s\n%s\n%s\n\n' % ('=' * len(title), title, '=' * len(title)) docs = """ Imageio provides a number of standard images. These include classic 2D images, as well as animated and volumetric images. To the best of our knowledge, all the listed images are in public domain. The image names can be loaded by using a special URI, e.g. ``imread('imageio:astronaut.png')``. The images are automatically downloaded (and cached in your appdata directory). """ text += '\n'.join([line.strip() for line in docs.splitlines()]) text += '\n\n' from imageio.core.request import EXAMPLE_IMAGES baseurl = 'https://github.com/imageio/imageio-binaries/raw/master/images/' sort_by_ext_and_name = lambda x: tuple(reversed(x.rsplit('.', 1))) for name in sorted(EXAMPLE_IMAGES, key=sort_by_ext_and_name): description = EXAMPLE_IMAGES[name] text += '* `%s <%s>`_: %s\n\n' % (name, baseurl + name, description) _write('standardimages.rst', text) imageio-2.1.2/docs/releasenotes.rst0000666000000000000000000002365613044617634016027 0ustar rootroot------------- Release notes ------------- Version 2.1.2 (02-02-2017) ========================== A bugfix release: * Fix animated gif writer that was broken in newer Pillow version. * FFMPEG plugin improvements: more reliable fps detection, can deal with missing FPS, more reliable subprocess termination, * Mimread allows a few missing frames to better deal with certain video files. * Allow question marks in url's. * Allow Pillow plugin to read remote files by "enabling" ``seek()`` and ``tell()``. * Use invoke to run development tasks instead of custom "make" module. Version 2.1.1 (24-12-2016) ========================= Minor improvements related to Debian packaging. Version 2.1 (22-12-2016) ======================== * Standard images now have to be specified using e.g. ``imageio.imread('imageio:chelsea.png')`` to be more explicit about being a special case and potentially involving a download. * Improvements and fixes for the ffmpeg plugin (including improved seeking). * Several tweaks to the tests and setup script to make it pass the Debian build system. Version 2.0 (10-12-2016) ======================== This release introduces a new plugin based on Pillow, which will take care of the "common formats" like PNG and JPEG, which was previously the role of the FreeImage plugin. The latter is still available but the FreeImage library is no longer distributed by default. * New Pillow plugin to privide the common formats. * FreeImage plugin gets lower priority w.r.t. resolving a format. * No more automatic downloading of libraries and executable (for FreeImage, FFMPEG and AVBIN plugins). * Pillow plugin comes with a format to read/write animated GIF to supersede the one provided by FreeImage. * Various improvements/fixes to the ffmpeg plugin. * Fixes and improvements of the DICOM plugin. * Better support of exr images via FreeImage (by Joel Nises). * New FEI format (for images produced by the FEI SEM microscope). Version 1.6 (19-09-2016) ======================== * Got rid of Lena image because it can be regarded offensive and is not (explicitly) publicly licensed. * Fix issue with ffmpeg reader being slow on particular systems (#152). * Tiff plugin updated. * Add Tiff resolution support (Antony Lee). * Support for 16bit PNG's (#150, by OrganicIrradiation). * Fixes to ffmpeg plugin (#149, #145, #129). * Fix in using IMAGEIO_FREEIMAGE_LIB (#141, by Radomirs Cirskis) * Better ffmpeg verbosity and exe detection ( #138, #139, by Tim D. Smith). Version 1.5 (31-01-2016) ======================== * Freeimage conda package (in main channel) is updated and works on all major OS's. * Conda install imageio! * Fix bug where the ffmpeg plugin fails on certain video files (#131). * Fix how dicom uses dcmtk for JPEG compressed files. Version 1.4 (18-11-2015) ======================== * Various improvements to the ffmpeg plugin. * New tiffile plugin that should support most scientific formats. * New simpleITK wrapper plugin. * New gdal plugin. * Freeimage plugin can load freeimage lib provided by conda. * Dicom plugin improved handling of compressed files. * Most plugins adopt lazy loading to keep imageio lean, fast, and scalable. * We now build wheels for Pypi. * Travis also tests Python 3.5. Version 1.3 (02-07-2015) ======================== This release features several fixes and small improvements, especially to the ffmpeg plugin. * Fix 'FrameTime' in first frame of GIF image (#90) * Fix that writing video could freeze on Windows (#84) * Fix that ffmpeg process was sometimes not closed correctly (#79) * Also protect user from clogging the machine for mvolread (#89) * Better support for platforms other than Win/Linux/OSX (#87 ) * Support for reading from webcam on OSX (#83, #85) * Support for dpx via the ffmpeg plugin (#81) * Support for wmv via the ffmpeg plugin (#83) * The ffmpeg plugin allows specifying pixelformat. The new default is more widely supported (#83) * Allow passing additional arguments to ffmpeg command (#83) * Quality of ffmpeg output now set via quality param instead of bitrate (#83) * Imageio now has a few (documented) environment variables to specify the locations of plugin libraries/exes (thus preventing them from being automatically downloaded. Version 1.2 (23-02-2015) ======================== Basically a hotfix release. But some new features were introduced. * Fixed that pip-installing would put README.md and other files in sys.prefix. * The used ffmpeg exe can be overridden with an environment variable 'IMAGEIO_FFMPEG_EXE'. * Relative paths work again. * FFMPEG plugin moved to correct timeframe when seeking (thanks Zulko) Version 1.1 (04-02-2015) ======================== Imageio is now a dependency of `Moviepy `_, which exposed a few issues to fix. Imageio is now also available as a Debian package (thanks Ghislain!). Furher, we tweaked our function names to be cleared and more consistent (the old names still work). * All ``Xsave()`` functions are renamed to ``Xwrite()``. Also ``read()`` and ``save()`` are now ``get_reader()`` and ``get_writer()``. The old names are available as aliases (and will be for the foreseable future) for backward compatibility. * Protect user from bringing computer in swap-mode by doing e.g. ``mimread('hunger games.avi')``. * Continuous integration for Windows via Appveyor. * All imports are relative, so imageio can be used as a subpackage in a larger project. * FFMPEG is the default plugin for reading video (since AVBIN has issues). * Better handling on NaN and Inf when converting to uint8. * Provide dist packages that include freeimage lib and a few example images. * Several changes to ease building into Debian package. * Fixed segfault when saving gif (thanks levskaya, https://github.com/imageio/imageio/pull/53). * Don't fail when userdir is not writable. * Gif plugin writer has fps param for consistency with avi/mp4 etc. Version 1.0 (13-11-2014) ======================== In this release we did a lot of work to push imageio to a new level. The code is now properly tested, and we have several more formats. The big changes: * Many unit tests were written to cover over 95% of the code base. (the core of imageio has 100% coverage). * Setup continuous integration (CI) using Travis. * Imageio now follows PEP8 style guides (and this is tested with CI). * Refactoring of the code base. Resulting in a cleaner namespace. * Many improvements to the documementation. Plugins: * The FFMPEG format is now well supported. Binaries are provided. * New AVBIN format for more efficient reading of video files. * New NPZ format that can store (a series of) arbitrarily shaped numpy arrays. * New SWF format (shockwave flash) for lossless animated images. * Improvements to the GIF format. The GIF and ANIGIF formats are now merged. Further: * New simple website to act as a front page (http://imageio.github.io). * Compatibility with Pypy. * We provide a range of :doc:`standard images ` that are automatically downloaded. * Binaries (libs and executables) that plugins of imageio uses are now downloaded at runtime, not at build/install time. This simplifies things a lot. * freeimage plugin now fully functional on pypy * Added utilities for developers (run ``python make`` from the repo root). * PNG, JPEG, BMP,GIF and other plugins can now handle float data (pixel values are assumed to be between 0 and 1. * Imageio now expand the user dir when filename start with '~/'. * Many improvements and fixes overall. Version 0.5.1 (23-06-2014) ========================== * DICOM reader closes file after reading pixel data (avoid too-many-open-files error) * Support for video data (import and export) via ffmpeg * Read images from usb camera via ffmpeg (experimental) Version 0.4.1 (26-10-2013) ========================== * We moved to github! * Raise error if URI could not be understood. * Small improvement for better error reporting. * FIxes in mvolread and DICOM plugin Version 0.4 (27-03-2013) ======================== Some more thorough testing resulted in several fixes and improvements over the last release. * Fixes to reading of meta data in freeimage plugin which could cause errors when reading a file. * Support for reading 4 bpp images. * The color table for index images is now applied to yield an RGBA image. * Basic support for Pypy. * Better __repr__ for the Image class. Version 0.3.2 ============= * Fix in dicom reader (RescaleSlope and RescaleIntercept were not found) * Fixed that progress indicator made things slow Version 0.3.1 ============= * Fix installation/distribution issue. Version 0.3.0 ============= This was a long haul. Implemented several plugins for animation and volumetric data to give an idea of what sort of API's work and which do not. * Refactored for more conventional package layout (but importing without installing still supported) * Put Reader and Writer classes in the namespace of the format. This makes a format a unified whole, and gets rid of the _get_reader_class and _get_write_class methods (at the cost of some extra indentation). * Refactored Reader and Writer classes to come up with a better API for both users as plugins. * The Request class acts as a smart bridging object. Therefore all plugins can now read from a zipfile, http/ftp, and bytes. And they don't have to do a thing. * Implemented specific BMP, JPEG, PNG, GIF, ICON formats. * Implemented animated gif plugin (based on freeimage). * Implemented standalone DICOM plugin. Version 0.2.3 ============= * Fixed issue 2 (fail at instal, introduced when implementing freezing) Version 0.2.2 ============= * Improved documentation. * Worked on distribution. * Freezing should work now. Version 0.2.1 ============= * Introduction of the imageio.help function. * Wrote a lot of documentation. * Added example (dummy) plugin. Version 0.2 =========== * New plugin system implemented after discussions in group. * Access to format information. Version 0.1 =========== * First version with a preliminary plugin system. imageio-2.1.2/docs/examples.rst0000666000000000000000000000525013024761666015145 0ustar rootrootImageio usage examples ====================== Some of these examples use Visvis to visualize the image data, but one can also use Matplotlib to show the images. Imageio provides a range of :doc:`example images `, which can be used by using a URI like ``'imageio:chelsea.png'``. The images are automatically downloaded if not already present on your system. Therefore most examples below should just work. Read an image of a cat ---------------------- Probably the most important thing you ever need. .. code-block:: python import imageio im = imageio.imread('imageio:chelsea.png') print(im.shape) Read from fancy sources ----------------------- Imageio can read from filenames, file objects, http, zipfiles and bytes. .. code-block:: python import imageio import visvis as vv im = imageio.imread('http://upload.wikimedia.org/wikipedia/commons/d/de/Wikipedia_Logo_1.0.png') vv.imshow(im) Iterate over frames in a movie ------------------------------ .. code-block:: python import imageio reader = imageio.get_reader('imageio:cockatoo.mp4') for i, im in enumerate(reader): print('Mean of frame %i is %1.1f' % (i, im.mean())) Grab frames from your webcam ---------------------------- Use the special ```` uri to read frames from your webcam (via the ffmpeg plugin). You can replace the zero with another index in case you have multiple cameras attached. .. code-block:: python import imageio import visvis as vv reader = imageio.get_reader('') t = vv.imshow(reader.get_next_data(), clim=(0, 255)) for im in reader: vv.processEvents() t.SetData(im) Convert a movie ------------------------------ Here we take a movie and convert it to gray colors. Of course, you can apply any kind of (image) processing to the image here ... .. code-block:: python import imageio reader = imageio.get_reader('imageio:cockatoo.mp4') fps = reader.get_meta_data()['fps'] writer = imageio.get_writer('~/cockatoo_gray.mp4', fps=fps) for im in reader: writer.append_data(im[:, :, 1]) writer.close() Read medical data (DICOM) ------------------------- .. code-block:: python import imageio dirname = 'path/to/dicom/files' # Read as loose images ims = imageio.mimread(dirname, 'DICOM') # Read as volume vol = imageio.volread(dirname, 'DICOM') # Read multiple volumes (multiple DICOM series) vols = imageio.mvolread(dirname, 'DICOM') Volume data ----------- .. code-block:: python import imageio import visvis as vv vol = imageio.volread('imageio:stent.npz') vv.volshow(vol) imageio-2.1.2/docs/sec_gettingstarted.rst0000666000000000000000000000025112615243100017164 0ustar rootroot=============== Getting started =============== .. toctree:: :maxdepth: 2 Installation Usage examples Release notes imageio-2.1.2/docs/devapi.rst0000666000000000000000000000104712615243100014556 0ustar rootroot----------------------- Imageio's developer API ----------------------- .. We just import the whole of imageio.core The imageio.core docstring and __all__ are modified in at the init of documenation building to make this show all members and give a nice overview. This page lists the developer documentation for imageio. Normal users will generally not need this, except perhaps the :class:`.Format` class. All these functions and classes are available in the ``imageio.core`` namespace. .. automodule:: imageio.core :members: imageio-2.1.2/docs/userapi.rst0000666000000000000000000000135012615243100014753 0ustar rootroot------------------ Imageio's user API ------------------ .. automodule:: imageio.core.functions ---- .. autofunction:: imageio.help .. autofunction :: imageio.show_formats ---- .. autofunction:: imageio.imread .. autofunction:: imageio.imwrite ---- .. autofunction:: imageio.mimread .. autofunction:: imageio.mimwrite ---- .. autofunction:: imageio.volread .. autofunction:: imageio.volwrite ---- .. autofunction:: imageio.mvolread .. autofunction:: imageio.mvolwrite ---- .. autofunction:: imageio.get_reader .. autofunction:: imageio.get_writer ---- .. autoclass:: imageio.core.format.Reader :inherited-members: :members: .. autoclass:: imageio.core.format.Writer :inherited-members: :members: imageio-2.1.2/docs/Makefile0000666000000000000000000001270012615243100014212 0ustar rootroot# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # Internal variables. 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The message catalogs are in %BUILDDIR%/locale. goto end ) if "%1" == "changes" ( %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes if errorlevel 1 exit /b 1 echo. echo.The overview file is in %BUILDDIR%/changes. goto end ) if "%1" == "linkcheck" ( %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck if errorlevel 1 exit /b 1 echo. echo.Link check complete; look for any errors in the above output ^ or in %BUILDDIR%/linkcheck/output.txt. goto end ) if "%1" == "doctest" ( %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest if errorlevel 1 exit /b 1 echo. echo.Testing of doctests in the sources finished, look at the ^ results in %BUILDDIR%/doctest/output.txt. goto end ) :end imageio-2.1.2/docs/.requirements0000666000000000000000000000001312615243100015270 0ustar rootrootnumpy>=1.6 imageio-2.1.2/docs/envvariables.rst0000666000000000000000000000252413022044152015767 0ustar rootrootImageio environment variables ============================= This page lists the environment variables that imageio uses. You can set these to control some of imageio's behavior. Each operating system has its own way for setting environment variables, but to set a variable for the current Python process use ``os.environ['IMAGEIO_VAR_NAME'] = 'value'``. * ``IMAGEIO_NO_INTERNET``: If this value is "1", "yes", or "true" (case insensitive), makes imageio not use the internet connection to retrieve files (like libraries or sample data). Some plugins (e.g. freeimage and ffmpeg) will try to use the system version in this case. * ``IMAGEIO_FFMPEG_EXE``: Set the path to the ffmpeg executable. Set to simply "ffmpeg" to use your system ffmpeg executable. If not given, will prompt the user to download the ffmpeg exe that imageio provides. * ``IMAGEIO_AVBIN_LIB``: Set the path to the avbin library. If not given, will prompt the user to download the avbin library that imageio provides. * ``IMAGEIO_FREEIMAGE_LIB``: Set the path to the freeimage library. If not given, will prompt user to download the freeimage library. * ``IMAGEIO_FORMAT_ORDER``: Determine format preference. E.g. setting this to ``"TIFF, -FI"`` will prefer the FreeImage plugin over the Pillow plugin, but still prefer TIFF over that. Also see the ``formats.sort()`` method. imageio-2.1.2/docs/sec_reference.rst0000666000000000000000000000027612615243100016101 0ustar rootroot========= Reference ========= .. toctree:: :maxdepth: 2 User API Docs for the formats Environment variables Standard images imageio-2.1.2/PKG-INFO0000666000000000000000000000471713044620430012732 0ustar rootrootMetadata-Version: 1.1 Name: imageio Version: 2.1.2 Summary: Library for reading and writing a wide range of image, video, scientific, and volumetric data formats. Home-page: http://imageio.github.io/ Author: imageio contributors Author-email: almar.klein@gmail.com License: (new) BSD Download-URL: http://pypi.python.org/pypi/imageio Description: .. image:: https://travis-ci.org/imageio/imageio.svg?branch=master :target: https://travis-ci.org/imageio/imageio' .. image:: https://coveralls.io/repos/imageio/imageio/badge.png?branch=master :target: https://coveralls.io/r/imageio/imageio?branch=master Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 2.x and 3.x, and is easy to install. Main website: http://imageio.github.io Release notes: http://imageio.readthedocs.org/en/latest/releasenotes.html Example: .. code-block:: python >>> import imageio >>> im = imageio.imread('astronaut.png') >>> im.shape # im is a numpy array (512, 512, 3) >>> imageio.imwrite('imageio:astronaut-gray.jpg', im[:, :, 0]) See the `user API `_ or `examples `_ for more information. Keywords: image video volume imread imwrite io animation ffmpeg Platform: any Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Science/Research Classifier: Intended Audience :: Education Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: MacOS :: MacOS X Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: POSIX Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2.6 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3.2 Classifier: Programming Language :: Python :: 3.3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Provides: imageio imageio-2.1.2/tests/0000755000000000000000000000000013055262616012774 5ustar rootrootimageio-2.1.2/tests/test_dicom.py0000666000000000000000000001324613021637246015510 0ustar rootroot""" Test imageio core functionality. """ import os from zipfile import ZipFile import numpy as np from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file test_dir = get_test_dir() _prepared = None def _prepare(): """ Create two dirs, one with one dataset and one with two datasets """ need_internet() global _prepared if _prepared and os.path.isfile(_prepared[2]): return _prepared # Prepare sources fname1 = get_remote_file('images/dicom_sample1.zip') fname2 = get_remote_file('images/dicom_sample2.zip') dname1 = os.path.join(test_dir, 'dicom_sample1') dname2 = os.path.join(test_dir, 'dicom_sample2') # Extract zipfiles z = ZipFile(fname1) z.extractall(dname1) z.extractall(dname2) z = ZipFile(fname2) z.extractall(dname2) # Get arbitrary file names fname1 = os.path.join(dname1, os.listdir(dname1)[0]) fname2 = os.path.join(dname2, os.listdir(dname2)[0]) # Cache and return _prepared = dname1, dname2, fname1, fname2 return dname1, dname2, fname1, fname2 def test_read_empty_dir(): # Create an empty dir empty = os.path.join(test_dir, 'empty_dir') if not os.path.isdir(empty): os.mkdir(empty) # Test that no format is found, but no error is raised request = core.Request(empty, 'ri') assert imageio.formats.search_read_format(request) is None def test_selection(): dname1, dname2, fname1, fname2 = _prepare() # Test that DICOM can examine file F = imageio.formats.search_read_format(core.Request(fname1, 'ri')) assert F.name == 'DICOM' assert F is imageio.formats['DICOM'] # Test that we cannot save request = core.Request(os.path.join(test_dir, 'test.dcm'), 'wi') assert not F.can_write(request) # Test fail on wrong file fname2 = fname1 + '.fake' bb = open(fname1, 'rb').read() bb = bb[:128] + b'XXXX' + bb[132:] open(fname2, 'wb').write(bb) raises(Exception, F.get_reader, core.Request(fname2, 'ri')) # Test special files with other formats im = imageio.imread(get_remote_file('images/dicom_file01.dcm')) assert im.shape == (512, 512) im = imageio.imread(get_remote_file('images/dicom_file03.dcm')) assert im.shape == (512, 512) im = imageio.imread(get_remote_file('images/dicom_file04.dcm')) assert im.shape == (512, 512) # Expected fails fname = get_remote_file('images/dicom_file90.dcm') raises(RuntimeError, imageio.imread, fname) # 1.2.840.10008.1.2.4.91 fname = get_remote_file('images/dicom_file91.dcm') raises(RuntimeError, imageio.imread, fname) # not pixel data # This one *should* work, but does not, see issue #18 try: imageio.imread(get_remote_file('images/dicom_file02.dcm')) except Exception: pass def test_progress(): dname1, dname2, fname1, fname2 = _prepare() imageio.imread(fname1, progress=True) imageio.imread(fname1, progress=core.StdoutProgressIndicator('test')) imageio.imread(fname1, progress=None) raises(ValueError, imageio.imread, fname1, progress=3) def test_different_read_modes(): dname1, dname2, fname1, fname2 = _prepare() for fname, dname, n in [(fname1, dname1, 1), (fname2, dname2, 2)]: # Test imread() im = imageio.imread(fname) assert isinstance(im, np.ndarray) assert im.shape == (512, 512) # Test mimread() ims = imageio.mimread(fname) assert isinstance(ims, list) assert ims[0].shape == im.shape assert len(ims) > 1 # ims2 = imageio.mimread(dname) assert len(ims) == len(ims2) # Test volread() vol = imageio.volread(dname) assert vol.ndim == 3 assert vol.shape[0] > 10 assert vol.shape[1:] == (512, 512) # vol2 = imageio.volread(fname) # fname works as well assert (vol == vol2).all() # Test mvolread() vols = imageio.mvolread(dname) assert isinstance(vols, list) assert len(vols) == n assert vols[0].shape == vol.shape assert sum([v.shape[0] for v in vols]) == len(ims) def test_different_read_modes_with_readers(): dname1, dname2, fname1, fname2 = _prepare() for fname, dname, n in [(fname1, dname1, 1), (fname2, dname2, 2)]: # Test imread() R = imageio.read(fname, 'DICOM', 'i') assert len(R) == 1 assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) # Test mimread() R = imageio.read(fname, 'DICOM', 'I') if n == 1: assert len(R) > 10 else: assert len(R) == 20 + 25 assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) # Test volread() R = imageio.read(fname, 'DICOM', 'v') assert len(R) == n # we ask for one, but get an honest number assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) # Test mvolread() R = imageio.read(fname, 'DICOM', 'V') assert len(R) == n assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) # Touch DicomSeries objects assert repr(R._series[0]) assert R._series[0].description assert len(R._series[0].sampling) == 3 R = imageio.read(fname, 'DICOM', '?') raises(RuntimeError, R.get_length) run_tests_if_main() imageio-2.1.2/tests/test_format.py0000666000000000000000000003011213023010730015655 0ustar rootrootfrom pytest import raises from imageio.testing import run_tests_if_main, get_test_dir import os import gc import shutil import numpy as np import imageio from imageio.core import Format, FormatManager, Request from imageio.core import get_remote_file test_dir = get_test_dir() def setup_module(): imageio.formats.sort() def teardown_module(): imageio.formats.sort() class MyFormat(Format): """ TEST DOCS """ _closed = [] def _can_read(self, request): return request.filename.lower().endswith(self.extensions + ('.haha', )) def _can_write(self, request): return request.filename.lower().endswith(self.extensions + ('.haha', )) class Reader(Format.Reader): _failmode = False _stream_mode = False def _open(self): self._read_frames = 0 def _close(self): self.format._closed.append(id(self)) def _get_length(self): if self._stream_mode: return np.inf return 3 def _get_data(self, index): if self._failmode == 2: raise IndexError() elif self._failmode: return 'not an array', {} elif self._stream_mode and self._read_frames >= 5: raise IndexError() # Mark end of stream else: self._read_frames += 1 return np.ones((10, 10)) * index, self._get_meta_data(index) def _get_meta_data(self, index): if self._failmode: return 'not a dict' return {'index': index} class Writer(Format.Writer): def _open(self): self._written_data = [] self._written_meta = [] self._meta = None def _close(self): self.format._closed.append(id(self)) def _append_data(self, im, meta): self._written_data.append(im) self._written_meta.append(meta) def _set_meta_data(self, meta): self._meta = meta def test_format(): """ Test the working of the Format class """ filename1 = get_remote_file('images/chelsea.png', test_dir) filename2 = filename1 + '.out' # Test basic format creation F = Format('testname', 'test description', 'foo bar spam') assert F.name == 'TESTNAME' assert F.description == 'test description' assert F.name in repr(F) assert F.name in F.doc assert str(F) == F.doc assert set(F.extensions) == set(['.foo', '.bar', '.spam']) # Test setting extensions F1 = Format('test', '', 'foo bar spam') F2 = Format('test', '', 'foo, bar,spam') F3 = Format('test', '', ['foo', 'bar', 'spam']) F4 = Format('test', '', '.foo .bar .spam') for F in (F1, F2, F3, F4): assert set(F.extensions) == set(['.foo', '.bar', '.spam']) # Fail raises(ValueError, Format, 'test', '', 3) # not valid ext raises(ValueError, Format, 'test', '', '', 3) # not valid mode raises(ValueError, Format, 'test', '', '', 'x') # not valid mode # Test subclassing F = MyFormat('test', '', modes='i') assert 'TEST DOCS' in F.doc # Get and check reader and write classes R = F.get_reader(Request(filename1, 'ri')) W = F.get_writer(Request(filename2, 'wi')) assert isinstance(R, MyFormat.Reader) assert isinstance(W, MyFormat.Writer) assert R.format is F assert W.format is F assert R.request.filename == filename1 assert W.request.filename == filename2 # Fail raises(RuntimeError, F.get_reader, Request(filename1, 'rI')) raises(RuntimeError, F.get_writer, Request(filename2, 'wI')) # Use as context manager with R: pass with W: pass # Objects are now closed, cannot be used assert R.closed assert W.closed # raises(RuntimeError, R.__enter__) raises(RuntimeError, W.__enter__) # raises(RuntimeError, R.get_data, 0) raises(RuntimeError, W.append_data, np.zeros((10, 10))) # Test __del__ R = F.get_reader(Request(filename1, 'ri')) W = F.get_writer(Request(filename2, 'wi')) ids = id(R), id(W) F._closed[:] = [] del R del W gc.collect() # Invoke __del__ assert set(ids) == set(F._closed) def test_reader_and_writer(): # Prepare filename1 = get_remote_file('images/chelsea.png', test_dir) filename2 = filename1 + '.out' F = MyFormat('test', '', modes='i') # Test using reader n = 3 R = F.get_reader(Request(filename1, 'ri')) assert len(R) == n ims = [im for im in R] assert len(ims) == n for i in range(3): assert ims[i][0, 0] == i assert ims[i].meta['index'] == i for i in range(3): assert R.get_meta_data(i)['index'] == i # Read next assert R.get_data(0)[0, 0] == 0 assert R.get_next_data()[0, 0] == 1 assert R.get_next_data()[0, 0] == 2 # Fail R._failmode = 1 raises(ValueError, R.get_data, 0) raises(ValueError, R.get_meta_data, 0) R._failmode = 2 with raises(IndexError): [im for im in R] # Test writer no format raises(ValueError, imageio.get_writer, 'foo.unknownext') # Test streaming reader R = F.get_reader(Request(filename1, 'ri')) R._stream_mode = True assert R.get_length() == np.inf ims = [im for im in R] assert len(ims) == 5 # Test using writer im1 = np.zeros((10, 10)) im2 = imageio.core.Image(im1, {'foo': 1}) W = F.get_writer(Request(filename2, 'wi')) W.append_data(im1) W.append_data(im2) W.append_data(im1, {'bar': 1}) W.append_data(im2, {'bar': 1}) # Test that no data is copies (but may be different views) assert len(W._written_data) == 4 for im in W._written_data: assert (im == im1).all() im1[2, 2] == 99 for im in W._written_data: assert (im == im1).all() # Test meta assert W._written_meta[0] == {} assert W._written_meta[1] == {'foo': 1} assert W._written_meta[2] == {'bar': 1} assert W._written_meta[3] == {'foo': 1, 'bar': 1} # W.set_meta_data({'spam': 1}) assert W._meta == {'spam': 1} # Fail raises(ValueError, W.append_data, 'not an array') raises(ValueError, W.append_data, im, 'not a dict') raises(ValueError, W.set_meta_data, 'not a dict') def test_default_can_read_and_can_write(): F = imageio.plugins.example.DummyFormat('test', '', 'foo bar', 'v') # Prepare files filename1 = os.path.join(test_dir, 'test') open(filename1 + '.foo', 'wb') open(filename1 + '.bar', 'wb') open(filename1 + '.spam', 'wb') # Test _can_read() assert F.can_read(Request(filename1 + '.foo', 'rv')) assert F.can_read(Request(filename1 + '.bar', 'r?')) assert not F.can_read(Request(filename1 + '.spam', 'r?')) assert not F.can_read(Request(filename1 + '.foo', 'ri')) # Test _can_write() assert F.can_write(Request(filename1 + '.foo', 'wv')) assert F.can_write(Request(filename1 + '.bar', 'w?')) assert not F.can_write(Request(filename1 + '.spam', 'w?')) assert not F.can_write(Request(filename1 + '.foo', 'wi')) def test_format_selection(): formats = imageio.formats fname1 = get_remote_file('images/chelsea.png', test_dir) fname2 = os.path.join(test_dir, 'test.selectext1') fname3 = os.path.join(test_dir, 'test.haha') open(fname2, 'wb') open(fname3, 'wb') # Test searchinhg for read / write format F = formats.search_read_format(Request(fname1, 'ri')) assert F is formats['PNG'] F = formats.search_write_format(Request(fname1, 'wi')) assert F is formats['PNG'] # Now with custom format format = MyFormat('test_selection', 'xx', 'selectext1', 'i') formats.add_format(format) # Select this format for files it said it could handle in extensions assert '.selectext1' in fname2 F = formats.search_read_format(Request(fname2, 'ri')) assert F is format F = formats.search_write_format(Request(fname2, 'ri')) assert F is format # But this custom format also can deal with .haha files assert '.haha' in fname3 F = formats.search_read_format(Request(fname3, 'ri')) assert F is format F = formats.search_write_format(Request(fname3, 'ri')) assert F is format ## Format manager def test_format_manager(): """ Test working of the format manager """ formats = imageio.formats # Test basics of FormatManager assert isinstance(formats, FormatManager) assert len(formats) > 0 assert 'FormatManager' in repr(formats) # Get docs smalldocs = str(formats) #fulldocs = formats.create_docs_for_all_formats() # Check each format ... for format in formats: # That each format is indeed a Format assert isinstance(format, Format) # That they are mentioned assert format.name in smalldocs #assert format.name in fulldocs fname = get_remote_file('images/chelsea.png', test_dir) fname2 = fname[:-3] + 'noext' shutil.copy(fname, fname2) # Check getting F1 = formats['PNG'] F2 = formats['.png'] F3 = formats[fname2] # will look in file itself assert F1 is F2 assert F1 is F3 # Check getting F1 = formats['DICOM'] F2 = formats['.dcm'] F3 = formats['dcm'] # If omitting dot, format is smart enough to try with assert F1 is F2 assert F1 is F3 # Fail raises(ValueError, formats.__getitem__, 678) # must be str raises(IndexError, formats.__getitem__, '.nonexistentformat') # Adding a format myformat = Format('test', 'test description', 'testext1 testext2') formats.add_format(myformat) assert myformat in [f for f in formats] assert formats['testext1'] is myformat assert formats['testext2'] is myformat # Fail raises(ValueError, formats.add_format, 678) # must be Format raises(ValueError, formats.add_format, myformat) # cannot add twice # Adding a format with the same name myformat2 = Format('test', 'other description', 'foo bar') raises(ValueError, formats.add_format, myformat2) # same name formats.add_format(myformat2, True) # overwrite assert formats['test'] is not myformat assert formats['test'] is myformat2 # Test show (we assume it shows correctly) formats.show() # # Potential # bytes = b'x' * 300 # F = formats.search_read_format(Request(bytes, 'r?', dummy_potential=1)) # assert F is formats['DUMMY'] def test_sorting_errors(): with raises(TypeError): imageio.formats.sort(3) with raises(ValueError): imageio.formats.sort('foo,bar') with raises(ValueError): imageio.formats.sort('foo.png') def test_default_order(): assert imageio.formats['.tiff'].name == 'TIFF' assert imageio.formats['.png'].name == 'PNG-PIL' assert imageio.formats['.pfm'].name == 'PFM-FI' def test_preferring_fi(): # Prefer FI all the way imageio.formats.sort('-FI') assert imageio.formats['.tiff'].name == 'TIFF-FI' assert imageio.formats['.png'].name == 'PNG-FI' assert imageio.formats['.pfm'].name == 'PFM-FI' # This would be better imageio.formats.sort('TIFF', '-FI') assert imageio.formats['.tiff'].name == 'TIFF' assert imageio.formats['.png'].name == 'PNG-FI' assert imageio.formats['.pfm'].name == 'PFM-FI' def test_preferring_arbitrary(): # Normally, these exotic formats are somewhere in the back imageio.formats.sort() names = [f.name for f in imageio.formats] assert 'DICOM' not in names[:10] assert 'FFMPEG' not in names[:10] assert 'NPZ' not in names[:10] # But we can move them forward imageio.formats.sort('DICOM', 'FFMPEG', 'NPZ') names = [f.name for f in imageio.formats] assert names[0] == 'DICOM' assert names[1] == 'FFMPEG' assert names[2] == 'NPZ' # And back to normal .. imageio.formats.sort() names = [f.name for f in imageio.formats] assert 'DICOM' not in names[:10] assert 'FFMPEG' not in names[:10] assert 'NPZ' not in names[:10] run_tests_if_main() imageio-2.1.2/tests/test_pillow.py0000666000000000000000000002504113044620246015714 0ustar rootroot""" Tests for imageio's pillow plugin """ import os import sys import numpy as np from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file test_dir = get_test_dir() def setup_module(): # Make sure format order is the default imageio.formats.sort() # Create test images LUMINANCE im0 = np.zeros((42, 32), np.uint8) im0[:16, :] = 200 im1 = np.zeros((42, 32, 1), np.uint8) im1[:16, :] = 200 # Create test image RGB im3 = np.zeros((42, 32, 3), np.uint8) im3[:16, :, 0] = 250 im3[:, :16, 1] = 200 im3[50:, :16, 2] = 100 # Create test image RGBA im4 = np.zeros((42, 32, 4), np.uint8) im4[:16, :, 0] = 250 im4[:, :16, 1] = 200 im4[50:, :16, 2] = 100 im4[:, :, 3] = 255 im4[20:, :, 3] = 120 fnamebase = os.path.join(test_dir, 'test') def get_ref_im(colors, crop, isfloat): """ Get reference image with * colors: 0, 1, 3, 4 * cropping: 0-> none, 1-> crop, 2-> crop with non-contiguous data * float: False, True """ assert colors in (0, 1, 3, 4) assert crop in (0, 1, 2) assert isfloat in (False, True) rim = [im0, im1, None, im3, im4][colors] if isfloat: rim = rim.astype(np.float32) / 255.0 if crop == 1: rim = rim[:-1, :-1].copy() elif crop == 2: rim = rim[:-1, :-1] return rim def assert_close(im1, im2, tol=0.0): if im1.ndim == 3 and im1.shape[-1] == 1: im1 = im1.reshape(im1.shape[:-1]) if im2.ndim == 3 and im2.shape[-1] == 1: im2 = im2.reshape(im2.shape[:-1]) assert im1.shape == im2.shape diff = im1.astype('float32') - im2.astype('float32') diff[15:17, :] = 0 # Mask edge artifacts diff[:, 15:17] = 0 assert np.abs(diff).max() <= tol # import visvis as vv # vv.subplot(121); vv.imshow(im1); vv.subplot(122); vv.imshow(im2) def test_pillow_format(): # Format - Pillow is the default! F = imageio.formats['PNG'] assert F.name == 'PNG-PIL' # Reader R = F.get_reader(core.Request('imageio:chelsea.png', 'ri')) assert len(R) == 1 assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) assert raises(IndexError, R.get_data, 2) assert raises(IndexError, R.get_meta_data, 2) # Writer W = F.get_writer(core.Request(fnamebase + '.png', 'wi')) W.append_data(im0) W.set_meta_data({'foo': 3}) assert raises(RuntimeError, W.append_data, im0) def test_png(): for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3, 4): fname = fnamebase+'%i.%i.%i.png' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 0.1) # lossless # Parameters im = imageio.imread('imageio:chelsea.png', ignoregamma=True) imageio.imsave(fnamebase + '.png', im, interlaced=True) # Parameter fail raises(TypeError, imageio.imread, 'imageio:chelsea.png', notavalidk=True) raises(TypeError, imageio.imsave, fnamebase + '.png', im, notavalidk=True) # Compression imageio.imsave(fnamebase + '1.png', im, compression=0) imageio.imsave(fnamebase + '2.png', im, compression=9) s1 = os.stat(fnamebase + '1.png').st_size s2 = os.stat(fnamebase + '2.png').st_size assert s2 < s1 # Fail raises(ValueError, imageio.imsave, fnamebase + '.png', im, compression=12) # Quantize imageio.imsave(fnamebase + '1.png', im, quantize=256) imageio.imsave(fnamebase + '2.png', im, quantize=4) im = imageio.imread(fnamebase + '2.png') # touch palette read code s1 = os.stat(fnamebase + '1.png').st_size s2 = os.stat(fnamebase + '2.png').st_size assert s1 > s2 # Fail fname = fnamebase + '1.png' raises(ValueError, imageio.imsave, fname, im[:, :, :3], quantize=300) raises(ValueError, imageio.imsave, fname, im[:, :, 0], quantize=100) # 16b bit images im = imageio.imread('imageio:chelsea.png')[:, :, 0] imageio.imsave(fnamebase + '1.png', im.astype('uint16')*2) imageio.imsave(fnamebase + '2.png', im) s1 = os.stat(fnamebase + '1.png').st_size s2 = os.stat(fnamebase + '2.png').st_size assert s2 < s1 im2 = imageio.imread(fnamebase + '1.png') assert im2.dtype == np.uint16 def test_png_remote(): # issue #202 need_internet() im = imageio.imread('https://raw.githubusercontent.com/imageio/' + 'imageio-binaries/master/images/astronaut.png') assert im.shape == (512, 512, 3) def test_jpg(): for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3): fname = fnamebase + '%i.%i.%i.jpg' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 1.1) # lossy # No alpha in JPEG fname = fnamebase + '.jpg' raises(Exception, imageio.imsave, fname, im4) # Parameters imageio.imsave(fnamebase + '.jpg', im3, progressive=True, optimize=True, baseline=True) # Parameter fail - We let Pillow kwargs thorugh # raises(TypeError, imageio.imread, fnamebase + '.jpg', notavalidkwarg=1) # raises(TypeError, imageio.imsave, fnamebase + '.jpg', im, notavalidk=1) # Compression imageio.imsave(fnamebase + '1.jpg', im3, quality=10) imageio.imsave(fnamebase + '2.jpg', im3, quality=90) s1 = os.stat(fnamebase + '1.jpg').st_size s2 = os.stat(fnamebase + '2.jpg').st_size assert s2 > s1 raises(ValueError, imageio.imsave, fnamebase + '.jpg', im, quality=120) def test_jpg_more(): need_internet() # Test broken JPEG fname = fnamebase + '_broken.jpg' open(fname, 'wb').write(b'this is not an image') raises(Exception, imageio.imread, fname) # bb = imageio.imsave(imageio.RETURN_BYTES, get_ref_im(3, 0, 0), 'JPEG') with open(fname, 'wb') as f: f.write(bb[:400]) f.write(b' ') f.write(bb[400:]) raises(Exception, imageio.imread, fname) # Test EXIF stuff fname = get_remote_file('images/rommel.jpg') im = imageio.imread(fname) assert im.shape[0] > im.shape[1] im = imageio.imread(fname, exifrotate=False) assert im.shape[0] < im.shape[1] im = imageio.imread(fname, exifrotate=2) # Rotation in Python assert im.shape[0] > im.shape[1] # Write the jpg and check that exif data is maintained if sys.platform.startswith('darwin'): return # segfaults on my osx VM, why? imageio.imsave(fnamebase + 'rommel.jpg', im) im = imageio.imread(fname) assert im.meta.EXIF_MAIN def test_gif(): # The not-animated gif for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 3, 4): if colors > 1 and sys.platform.startswith('darwin'): continue # quantize fails, see also png fname = fnamebase + '%i.%i.%i.gif' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 if colors not in (0, 1): im = im[:, :, :3] rim = rim[:, :, :3] assert_close(rim * mul, im, 1.1) # lossless # Parameter fail raises(TypeError, imageio.imread, fname, notavalidkwarg=True) raises(TypeError, imageio.imsave, fnamebase + '1.gif', im, notavalidk=True) def test_animated_gif(): # Read newton's cradle ims = imageio.mimread('imageio:newtonscradle.gif') assert len(ims) == 36 for im in ims: assert im.shape == (150, 200, 4) assert im.min() > 0 assert im.max() <= 255 # Get images im = get_ref_im(4, 0, 0) ims = [] for i in range(10): im = im.copy() im[:, -5:, 0] = i * 20 ims.append(im) # Store - animated GIF always poops out RGB for isfloat in (False, True): for colors in (3, 4): ims1 = ims[:] if isfloat: ims1 = [x.astype(np.float32) / 256 for x in ims1] ims1 = [x[:, :, :colors] for x in ims1] fname = fnamebase + '.animated.%i.gif' % colors imageio.mimsave(fname, ims1, duration=0.2) # Retrieve print('fooo', fname, isfloat, colors) ims2 = imageio.mimread(fname) ims1 = [x[:, :, :3] for x in ims] # fresh ref ims2 = [x[:, :, :3] for x in ims2] # discart alpha for im1, im2 in zip(ims1, ims2): assert_close(im1, im2, 1.1) # We can also store grayscale fname = fnamebase + '.animated.%i.gif' % 1 imageio.mimsave(fname, [x[:, :, 0] for x in ims], duration=0.2) imageio.mimsave(fname, [x[:, :, :1] for x in ims], duration=0.2) # Irragular duration. You probably want to check this manually (I did) duration = [0.1 for i in ims] for i in [2, 5, 7]: duration[i] = 0.5 imageio.mimsave(fnamebase + '.animated_irr.gif', ims, duration=duration) # Other parameters imageio.mimsave(fnamebase + '.animated.loop2.gif', ims, loop=2, fps=20) R = imageio.read(fnamebase + '.animated.loop2.gif') W = imageio.save(fnamebase + '.animated.palettes100.gif', palettesize=100) assert W._writer.opt_palette_size == 128 # Fail assert raises(IndexError, R.get_meta_data, -1) assert raises(ValueError, imageio.mimsave, fname, ims, palettesize=300) assert raises(ValueError, imageio.mimsave, fname, ims, quantizer='foo') assert raises(ValueError, imageio.mimsave, fname, ims, duration='foo') # Add one duplicate image to ims to touch subractangle with not change ims.append(ims[-1]) # Test subrectangles imageio.mimsave(fnamebase + '.subno.gif', ims, subrectangles=False) imageio.mimsave(fnamebase + '.subyes.gif', ims, subrectangles=True) s1 = os.stat(fnamebase + '.subno.gif').st_size s2 = os.stat(fnamebase + '.subyes.gif').st_size assert s2 < s1 # Meta (dummy, because always {}) imageio.mimsave(fname, [x[:, :, 0] for x in ims], duration=0.2) assert isinstance(imageio.read(fname).get_meta_data(), dict) if __name__ == '__main__': # test_png() # test_animated_gif() run_tests_if_main() imageio-2.1.2/tests/test_core.py0000666000000000000000000005233413026740216015343 0ustar rootroot""" Test imageio core functionality. """ import time import sys import os import shutil import ctypes.util from zipfile import ZipFile from io import BytesIO import numpy as np from pytest import raises, skip from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import Request from imageio.core import get_remote_file, IS_PYPY test_dir = get_test_dir() def test_fetching(): """ Test fetching of files """ need_internet() # Clear image files if os.path.isdir(test_dir): shutil.rmtree(test_dir) # This should download the file (force download, because local cache) fname1 = get_remote_file('images/chelsea.png', test_dir, True) mtime1 = os.path.getmtime(fname1) # This should reuse it fname2 = get_remote_file('images/chelsea.png', test_dir) mtime2 = os.path.getmtime(fname2) # This should overwrite fname3 = get_remote_file('images/chelsea.png', test_dir, True) mtime3 = os.path.getmtime(fname3) # This should too (update this if imageio is still around in 1000 years) fname4 = get_remote_file('images/chelsea.png', test_dir, '3014-01-01') mtime4 = os.path.getmtime(fname4) # This should not fname5 = get_remote_file('images/chelsea.png', test_dir, '2014-01-01') mtime5 = os.path.getmtime(fname4) # assert os.path.isfile(fname1) assert fname1 == fname2 assert fname1 == fname3 assert fname1 == fname4 assert fname1 == fname5 if not sys.platform.startswith('darwin'): # weird, but these often fail on my osx VM assert mtime1 == mtime2 assert mtime1 < mtime3 assert mtime3 < mtime4 assert mtime4 == mtime5 # Test failures _urlopen = core.fetching.urlopen _chunk_read = core.fetching._chunk_read # raises(IOError, get_remote_file, 'this_does_not_exist', test_dir) # try: core.fetching.urlopen = None raises(IOError, get_remote_file, 'images/chelsea.png', None, True) finally: core.fetching.urlopen = _urlopen # try: core.fetching._chunk_read = None raises(IOError, get_remote_file, 'images/chelsea.png', None, True) finally: core.fetching._chunk_read = _chunk_read # try: os.environ['IMAGEIO_NO_INTERNET'] = '1' raises(IOError, get_remote_file, 'images/chelsea.png', None, True) finally: del os.environ['IMAGEIO_NO_INTERNET'] # Coverage miss assert '0 bytes' == core.fetching._sizeof_fmt(0) def test_findlib1(): # Lib name would need to be "libc.so.5", or "libc.so.6", or ... # Meh, just skip skip('always skip, is tested implicitly anyway') if not sys.platform.startswith('linux'): skip('test on linux only') # Candidate libs for common lib (note, this runs only on linux) dirs, paths = core.findlib.generate_candidate_libs(['libc']) assert paths def test_findlib2(): if not sys.platform.startswith('linux'): skip('test on linux only') need_internet() # need our own version of FI to test this bit # Candidate libs for common freeimage fi_dir = os.path.join(core.appdata_dir('imageio'), 'freeimage') if not os.path.isdir(fi_dir): os.mkdir(fi_dir) dirs, paths = core.findlib.generate_candidate_libs(['libfreeimage'], [fi_dir]) #assert fi_dir in dirs -> Cannot test: lib may not exist assert paths open(os.path.join(fi_dir, 'notalib.test.so'), 'wb') # Loading libs gllib = ctypes.util.find_library('GL') core.load_lib([gllib], []) core.load_lib([], ['libfreeimage'], [fi_dir]) # Fail raises(ValueError, core.load_lib, [], []) # Nothing given raises(ValueError, core.load_lib, ['', None], []) # Nothing given raises(OSError, core.load_lib, ['thislibdoesnotexist_foobar'], []) raises(OSError, core.load_lib, [], ['notalib'], [fi_dir]) def test_request(): """ Test request object """ # Check uri-type, this is not a public property, so we test the private R = Request('http://example.com', 'ri') assert R._uri_type == core.request.URI_HTTP R = Request('ftp://example.com', 'ri') assert R._uri_type == core.request.URI_FTP R = Request('file://~/foo.png', 'wi') assert R._uri_type == core.request.URI_FILENAME R = Request('', 'rI') assert R._uri_type == core.request.URI_BYTES R = Request(imageio.RETURN_BYTES, 'wi') assert R._uri_type == core.request.URI_BYTES # fname = get_remote_file('images/chelsea.png', test_dir) R = Request(fname, 'ri') assert R._uri_type == core.request.URI_FILENAME R = Request('~/filethatdoesnotexist', 'wi') assert R._uri_type == core.request.URI_FILENAME # Too short to be bytes R = Request(b'x'*600, 'ri') assert R._uri_type == core.request.URI_BYTES R = Request(sys.stdin, 'ri') assert R._uri_type == core.request.URI_FILE R = Request(sys.stdout, 'wi') assert R._uri_type == core.request.URI_FILE # exapand user dir R = Request('~/foo', 'wi') assert R.filename == os.path.expanduser('~/foo').replace('/', os.path.sep) # zip file R = Request('~/bar.zip/spam.png', 'wi') assert R._uri_type == core.request.URI_ZIPPED # Test failing inits raises(ValueError, Request, '/some/file', None) # mode must be str raises(ValueError, Request, '/some/file', 3) # mode must be str raises(ValueError, Request, '/some/file', '') # mode must be len 2 raises(ValueError, Request, '/some/file', 'r') # mode must be len 2 raises(ValueError, Request, '/some/file', 'rii') # mode must be len 2 raises(ValueError, Request, '/some/file', 'xi') # mode[0] must be in rw raises(ValueError, Request, '/some/file', 'rx') # mode[1] must be in iIvV? # raises(IOError, Request, ['invalid', 'uri'] * 10, 'ri') # invalid uri raises(IOError, Request, 4, 'ri') # invalid uri raises(IOError, Request, '/does/not/exist', 'ri') # reading nonexistent raises(IOError, Request, '/does/not/exist.zip/spam.png', 'ri') # dito raises(IOError, Request, 'http://example.com', 'wi') # no writing here raises(IOError, Request, '/does/not/exist.png', 'wi') # write dir nonexist # Test auto-download R = Request('imageio:chelsea.png', 'ri') assert R.filename == get_remote_file('images/chelsea.png') # R = Request('imageio:chelsea.zip/chelsea.png', 'ri') assert R._filename_zip[0] == get_remote_file('images/chelsea.zip') assert R.filename == get_remote_file('images/chelsea.zip') + '/chelsea.png' def test_request_read_sources(): # Make an image available in many ways fname = 'images/chelsea.png' filename = get_remote_file(fname, test_dir) bytes = open(filename, 'rb').read() # burl = 'https://raw.githubusercontent.com/imageio/imageio-binaries/master/' z = ZipFile(os.path.join(test_dir, 'test.zip'), 'w') z.writestr(fname, bytes) z.close() has_inet = os.getenv('IMAGEIO_NO_INTERNET', '') not in ('1', 'yes', 'true') # Read that image from these different sources. Read data from file # and from local file (the two main plugin-facing functions) for X in range(2): # Define uris to test. Define inside loop, since we need fresh files uris = [filename, os.path.join(test_dir, 'test.zip', fname), bytes, open(filename, 'rb')] if has_inet: uris.append(burl + fname) for uri in uris: R = Request(uri, 'ri') first_bytes = R.firstbytes if X == 0: all_bytes = R.get_file().read() else: f = open(R.get_local_filename(), 'rb') all_bytes = f.read() R.finish() # Test assert len(first_bytes) > 0 assert all_bytes.startswith(first_bytes) assert bytes == all_bytes def test_request_save_sources(): # Prepare desinations fname = 'images/chelsea.png' filename = get_remote_file(fname, test_dir) bytes = open(filename, 'rb').read() # fname2 = fname + '.out' filename2 = os.path.join(test_dir, fname2) zipfilename2 = os.path.join(test_dir, 'test.zip') file2 = BytesIO() # Write an image into many different destinations # Do once via file and ones via local filename for i in range(2): # Clear for xx in (filename2, zipfilename2): if os.path.isfile(xx): os.remove(xx) # Write to three destinations for uri in (filename2, os.path.join(zipfilename2, fname2), file2, imageio.RETURN_BYTES # This one last to fill `res` ): R = Request(uri, 'wi') if i == 0: R.get_file().write(bytes) # via file else: open(R.get_local_filename(), 'wb').write(bytes) # via local R.finish() res = R.get_result() # Test three results assert open(filename2, 'rb').read() == bytes assert ZipFile(zipfilename2, 'r').open(fname2).read() == bytes assert res == bytes def test_request_file_no_seek(): class File(): def read(self, n): return b'\x00' * n def seek(self, i): raise IOError('Not supported') def tell(self): raise Exception('Not supported') def close(self): pass R = Request(File(), 'ri') with raises(IOError): R.firstbytes def test_util_imagelist(): meta = {'foo': 3, 'bar': {'spam': 1, 'eggs': 2}} # Image list L = core.util.ImageList(meta) assert isinstance(L, list) assert L.meta == meta # Fail raises(ValueError, core.util.ImageList, 3) # not a dict def test_util_image(): meta = {'foo': 3, 'bar': {'spam': 1, 'eggs': 2}} # Image a = np.zeros((10, 10)) im = core.util.Image(a, meta) isinstance(im, np.ndarray) isinstance(im.meta, dict) assert str(im) == str(a) # Preserve after action im2 = im + 1 assert isinstance(im2, core.util.Image) assert im2.meta == im.meta # Turn to normal array / scalar if shape none im2 = im.sum(0) if not IS_PYPY: # known fail on Pypy assert not isinstance(im2, core.util.Image) s = im.sum() assert not isinstance(s, core.util.Image) # Repr !! no more #assert '2D image' in repr(core.util.Image(np.zeros((10, 10)))) #assert '2D image' in repr(core.util.Image(np.zeros((10, 10, 3)))) #assert '3D image' in repr(core.util.Image(np.zeros((10, 10, 10)))) # Fail raises(ValueError, core.util.Image, 3) # not a ndarray raises(ValueError, core.util.Image, a, 3) # not a dict def test_util_dict(): # Dict class D = core.Dict() D['foo'] = 1 D['bar'] = 2 D['spam'] = 3 assert list(D.values()) == [1, 2, 3] # assert D.spam == 3 D.spam = 4 assert D['spam'] == 4 # Can still use copy etc. assert D.copy() == D assert 'spam' in D.keys() # Can also insert non-identifiers D[3] = 'not an identifier' D['34a'] = 'not an identifier' D[None] = 'not an identifier' # dir names = dir(D) assert 'foo' in names assert 'spam' in names assert 3 not in names assert '34a' not in names # Fail raises(AttributeError, D.__setattr__, 'copy', False) # reserved raises(AttributeError, D.__getattribute__, 'notinD') def test_util_get_platform(): # Test get_platform platforms = 'win32', 'win64', 'linux32', 'linux64', 'osx32', 'osx64' assert core.get_platform() in platforms def test_util_asarray(): # Test asarray im1 = core.asarray([[1, 2, 3], [4, 5, 6]]) im2 = im1.view(type=core.Image) im3 = core.asarray(im2) assert type(im2) != np.ndarray assert type(im3) == np.ndarray if not IS_PYPY: for i in (1, 2, 3): im1[0, 0] = i assert im2[0, 0] == i assert im3[0, 0] == i def test_util_progres_bar(sleep=0): """ Test the progress bar """ # This test can also be run on itself to *see* the result # Progress bar for Progress in (core.StdoutProgressIndicator, core.BaseProgressIndicator): B = Progress('test') assert B.status() == 0 B.start(max=20) assert B.status() == 1 B.start('Run to 10', max=10) # Restart for i in range(8): time.sleep(sleep) B.set_progress(i) assert B._progress == i B.increase_progress(1) assert B._progress == i + 1 B.finish() assert B.status() == 2 # Without max B.start('Run without max int') for i in range(15): time.sleep(sleep) B.set_progress(i) B.start('Run without float') for i in range(15): time.sleep(sleep) B.set_progress(i+0.1) B.start('Run without progress') for i in range(15): time.sleep(sleep) B.set_progress(0) B.write('some message') B.fail('arg') assert B.status() == 3 # Perc B.start('Run percentage', unit='%', max=100) # Restart for i in range(0, 101, 5): time.sleep(sleep) B.set_progress(i) B.finish('Done') if sleep: return def test_util_image_as_uint(): ''' Tests the various type conversions when writing to uint''' raises(ValueError, core.image_as_uint, 4) raises(ValueError, core.image_as_uint, "not an image") raises(ValueError, core.image_as_uint, np.array([0, 1]), bitdepth=13) raises(ValueError, core.image_as_uint, np.array([2.0, 2.0], 'float32')) raises(ValueError, core.image_as_uint, np.array([0.0, np.inf], 'float32')) raises(ValueError, core.image_as_uint, np.array([-np.inf, 0.0], 'float32')) test_arrays = ( # (input, output bitdepth, expected output) # No bitdepth specified, assumed to be 8-bit (np.array([0, 2 ** 8 - 1], 'uint8'), None, np.uint8([0, 255])), (np.array([0, 2 ** 16 - 1], 'uint16'), None, np.uint8([0, 255])), (np.array([0, 2 ** 32 - 1], 'uint32'), None, np.uint8([0, 255])), (np.array([0, 2 ** 64 - 1], 'uint64'), None, np.uint8([0, 255])), (np.array([-2, 2], 'int8'), None, np.uint8([0, 255])), (np.array([-2, 2], 'int16'), None, np.uint8([0, 255])), (np.array([-2, 2], 'int32'), None, np.uint8([0, 255])), (np.array([-2, 2], 'int64'), None, np.uint8([0, 255])), (np.array([0, 1], 'float16'), None, np.uint8([0, 255])), (np.array([0, 1], 'float32'), None, np.uint8([0, 255])), (np.array([0, 1], 'float64'), None, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float16'), None, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float32'), None, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float64'), None, np.uint8([0, 255])), # 8-bit output (np.array([0, 2 ** 8 - 1], 'uint8'), 8, np.uint8([0, 255])), (np.array([0, 2 ** 16 - 1], 'uint16'), 8, np.uint8([0, 255])), (np.array([0, 2 ** 32 - 1], 'uint32'), 8, np.uint8([0, 255])), (np.array([0, 2 ** 64 - 1], 'uint64'), 8, np.uint8([0, 255])), (np.array([-2, 2], 'int8'), 8, np.uint8([0, 255])), (np.array([-2, 2], 'int16'), 8, np.uint8([0, 255])), (np.array([-2, 2], 'int32'), 8, np.uint8([0, 255])), (np.array([-2, 2], 'int64'), 8, np.uint8([0, 255])), (np.array([0, 1], 'float16'), 8, np.uint8([0, 255])), (np.array([0, 1], 'float32'), 8, np.uint8([0, 255])), (np.array([0, 1], 'float64'), 8, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float16'), 8, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float32'), 8, np.uint8([0, 255])), (np.array([-1.0, 1.0], 'float64'), 8, np.uint8([0, 255])), # 16-bit output (np.array([0, 2 ** 8 - 1], 'uint8'), 16, np.uint16([0, 65535])), (np.array([0, 2 ** 16 - 1], 'uint16'), 16, np.uint16([0, 65535])), (np.array([0, 2 ** 32 - 1], 'uint32'), 16, np.uint16([0, 65535])), (np.array([0, 2 ** 64 - 1], 'uint64'), 16, np.uint16([0, 65535])), (np.array([-2, 2], 'int8'), 16, np.uint16([0, 65535])), (np.array([-2, 2], 'int16'), 16, np.uint16([0, 65535])), (np.array([-2, 2], 'int32'), 16, np.uint16([0, 65535])), (np.array([-2, 2], 'int64'), 16, np.uint16([0, 65535])), (np.array([0, 1], 'float16'), 16, np.uint16([0, 65535])), (np.array([0, 1], 'float32'), 16, np.uint16([0, 65535])), (np.array([0, 1], 'float64'), 16, np.uint16([0, 65535])), (np.array([-1.0, 1.0], 'float16'), 16, np.uint16([0, 65535])), (np.array([-1.0, 1.0], 'float32'), 16, np.uint16([0, 65535])), (np.array([-1.0, 1.0], 'float64'), 16, np.uint16([0, 65535])),) for tup in test_arrays: res = core.image_as_uint(tup[0], bitdepth=tup[1]) assert res[0] == tup[2][0] and res[1] == tup[2][1] def test_util_has_has_module(): assert not core.has_module('this_module_does_not_exist') assert core.has_module('sys') def test_functions(): """ Test the user-facing API functions """ # Test help(), it prints stuff, so we just check whether that goes ok imageio.help() # should print overview imageio.help('PNG') # should print about PNG fname1 = get_remote_file('images/chelsea.png', test_dir) fname2 = fname1[:-3] + 'jpg' fname3 = fname1[:-3] + 'notavalidext' open(fname3, 'wb') # Test read() R1 = imageio.read(fname1) R2 = imageio.read(fname1, 'png') assert R1.format is R2.format # Fail raises(ValueError, imageio.read, fname3) # existing but not readable raises(IOError, imageio.read, 'notexisting.barf') raises(IndexError, imageio.read, fname1, 'notexistingformat') # Test save() W1 = imageio.save(fname2) W2 = imageio.save(fname2, 'JPG') W1.close() W2.close() assert W1.format is W2.format # Fail raises(IOError, imageio.save, '~/dirdoesnotexist/wtf.notexistingfile') # Test imread() im1 = imageio.imread(fname1) im2 = imageio.imread(fname1, 'png') assert im1.shape[2] == 3 assert np.all(im1 == im2) # Test imsave() if os.path.isfile(fname2): os.remove(fname2) assert not os.path.isfile(fname2) imageio.imsave(fname2, im1[:, :, 0]) imageio.imsave(fname2, im1) assert os.path.isfile(fname2) # Test mimread() fname3 = get_remote_file('images/newtonscradle.gif', test_dir) ims = imageio.mimread(fname3) assert isinstance(ims, list) assert len(ims) > 1 assert ims[0].ndim == 3 assert ims[0].shape[2] in (1, 3, 4) # Test protection with raises(RuntimeError): imageio.mimread('imageio:chelsea.png', 'dummy', length=np.inf) if IS_PYPY: return # no support for npz format :( # Test mimsave() fname5 = fname3[:-4] + '2.npz' if os.path.isfile(fname5): os.remove(fname5) assert not os.path.isfile(fname5) imageio.mimsave(fname5, [im[:, :, 0] for im in ims]) imageio.mimsave(fname5, ims) assert os.path.isfile(fname5) # Test volread() fname4 = get_remote_file('images/stent.npz', test_dir) vol = imageio.volread(fname4) assert vol.ndim == 3 assert vol.shape[0] == 256 assert vol.shape[1] == 128 assert vol.shape[2] == 128 # Test volsave() volc = np.zeros((10, 10, 10, 3), np.uint8) # color volume fname6 = os.path.join(test_dir, 'images', 'stent2.npz') if os.path.isfile(fname6): os.remove(fname6) assert not os.path.isfile(fname6) imageio.volsave(fname6, volc) imageio.volsave(fname6, vol) assert os.path.isfile(fname6) # Test mvolread() vols = imageio.mvolread(fname4) assert isinstance(vols, list) assert len(vols) == 1 assert vols[0].shape == vol.shape # Test mvolsave() if os.path.isfile(fname6): os.remove(fname6) assert not os.path.isfile(fname6) imageio.mvolsave(fname6, [volc, volc]) imageio.mvolsave(fname6, vols) assert os.path.isfile(fname6) # Fail for save functions raises(ValueError, imageio.imsave, fname2, np.zeros((100, 100, 5))) raises(ValueError, imageio.imsave, fname2, 42) raises(ValueError, imageio.mimsave, fname5, [np.zeros((100, 100, 5))]) raises(ValueError, imageio.mimsave, fname5, [42]) raises(ValueError, imageio.volsave, fname6, np.zeros((100, 100, 100, 40))) raises(ValueError, imageio.volsave, fname6, 42) raises(ValueError, imageio.mvolsave, fname6, [np.zeros((90, 90, 90, 40))]) raises(ValueError, imageio.mvolsave, fname6, [42]) def test_example_plugin(): """ Test the example plugin """ fname = os.path.join(test_dir, 'out.png') r = Request('imageio:chelsea.png', 'r?') R = imageio.formats['dummy'].get_reader(r) W = imageio.formats['dummy'].get_writer(Request(fname, 'w?')) # assert len(R) == 1 assert R.get_data(0).ndim raises(IndexError, R.get_data, 1) #raises(RuntimeError, R.get_meta_data) assert R.get_meta_data() == {} R.close() # raises(RuntimeError, W.append_data, np.zeros((10, 10))) raises(RuntimeError, W.set_meta_data, {}) W.close() run_tests_if_main() imageio-2.1.2/tests/test_freeimage.py0000666000000000000000000004034513024761666016350 0ustar rootroot""" Tests for imageio's freeimage plugin """ import os import sys import numpy as np from pytest import raises, skip from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file, IS_PYPY test_dir = get_test_dir() def setup_module(): # During this test, pretend that FI is the default format imageio.formats.sort('-FI') # This tests requires our version of the FI lib try: imageio.plugins.freeimage.download() except imageio.core.InternetNotAllowedError: # We cannot download; skip all freeimage tests need_internet() def teardown_module(): # Set back to normal imageio.formats.sort() # Create test images LUMINANCE im0 = np.zeros((42, 32), np.uint8) im0[:16, :] = 200 im1 = np.zeros((42, 32, 1), np.uint8) im1[:16, :] = 200 # Create test image RGB im3 = np.zeros((42, 32, 3), np.uint8) im3[:16, :, 0] = 250 im3[:, :16, 1] = 200 im3[50:, :16, 2] = 100 # Create test image RGBA im4 = np.zeros((42, 32, 4), np.uint8) im4[:16, :, 0] = 250 im4[:, :16, 1] = 200 im4[50:, :16, 2] = 100 im4[:, :, 3] = 255 im4[20:, :, 3] = 120 fnamebase = os.path.join(test_dir, 'test') def get_ref_im(colors, crop, isfloat): """ Get reference image with * colors: 0, 1, 3, 4 * cropping: 0-> none, 1-> crop, 2-> crop with non-contiguous data * float: False, True """ assert colors in (0, 1, 3, 4) assert crop in (0, 1, 2) assert isfloat in (False, True) rim = [im0, im1, None, im3, im4][colors] if isfloat: rim = rim.astype(np.float32) / 255.0 if crop == 1: rim = rim[:-1, :-1].copy() elif crop == 2: rim = rim[:-1, :-1] return rim def assert_close(im1, im2, tol=0.0): if im1.ndim == 3 and im1.shape[-1] == 1: im1 = im1.reshape(im1.shape[:-1]) if im2.ndim == 3 and im2.shape[-1] == 1: im2 = im2.reshape(im2.shape[:-1]) assert im1.shape == im2.shape diff = im1.astype('float32') - im2.astype('float32') diff[15:17, :] = 0 # Mask edge artifacts diff[:, 15:17] = 0 assert np.abs(diff).max() <= tol # import visvis as vv # vv.subplot(121); vv.imshow(im1); vv.subplot(122); vv.imshow(im2) def test_get_ref_im(): """ A test for our function to get test images """ crop = 0 for f in (False, True): for colors in (0, 1, 3, 4): rim = get_ref_im(0, crop, f) assert rim.flags.c_contiguous is True assert rim.shape[:2] == (42, 32) crop = 1 for f in (False, True): for colors in (0, 1, 3, 4): rim = get_ref_im(0, crop, f) assert rim.flags.c_contiguous is True assert rim.shape[:2] == (41, 31) if IS_PYPY: return 'PYPY cannot have non-contiguous data' crop = 2 for f in (False, True): for colors in (0, 1, 3, 4): rim = get_ref_im(0, crop, f) assert rim.flags.c_contiguous is False assert rim.shape[:2] == (41, 31) def test_get_fi_lib(): need_internet() from imageio.plugins._freeimage import get_freeimage_lib lib = get_freeimage_lib() assert os.path.isfile(lib) def test_freeimage_format(): # Format F = imageio.formats['PNG-FI'] assert F.name == 'PNG-FI' # Reader R = F.get_reader(core.Request('imageio:chelsea.png', 'ri')) assert len(R) == 1 assert isinstance(R.get_meta_data(), dict) assert isinstance(R.get_meta_data(0), dict) raises(IndexError, R.get_data, 2) raises(IndexError, R.get_meta_data, 2) # Writer W = F.get_writer(core.Request(fnamebase + '.png', 'wi')) W.append_data(im0) W.set_meta_data({'foo': 3}) raises(RuntimeError, W.append_data, im0) def test_freeimage_lib(): fi = imageio.plugins.freeimage.fi # Error messages imageio.plugins._freeimage.fi._messages.append('this is a test') assert imageio.plugins._freeimage.fi.get_output_log() imageio.plugins._freeimage.fi._show_any_warnings() imageio.plugins._freeimage.fi._get_error_message() # Test getfif raises(ValueError, fi.getFIF, 'foo.png', 'x') # mode must be r or w raises(ValueError, fi.getFIF, 'foo.notvalid', 'w') # invalid ext raises(ValueError, fi.getFIF, 'foo.iff', 'w') # We cannot write iff def test_png(): for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3, 4): fname = fnamebase+'%i.%i.%i.png' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 0.1) # lossless # Run exact same test, but now in pypy backup mode try: imageio.plugins._freeimage.TEST_NUMPY_NO_STRIDES = True for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3, 4): fname = fnamebase+'%i.%i.%i.png' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 0.1) # lossless finally: imageio.plugins._freeimage.TEST_NUMPY_NO_STRIDES = False # Parameters im = imageio.imread('imageio:chelsea.png', ignoregamma=True) imageio.imsave(fnamebase + '.png', im, interlaced=True) # Parameter fail raises(TypeError, imageio.imread, 'imageio:chelsea.png', notavalidk=True) raises(TypeError, imageio.imsave, fnamebase + '.png', im, notavalidk=True) # Compression imageio.imsave(fnamebase + '1.png', im, compression=0) imageio.imsave(fnamebase + '2.png', im, compression=9) s1 = os.stat(fnamebase + '1.png').st_size s2 = os.stat(fnamebase + '2.png').st_size assert s2 < s1 # Fail raises(ValueError, imageio.imsave, fnamebase + '.png', im, compression=12) # Quantize if sys.platform.startswith('darwin'): return # quantization segfaults on my osx VM imageio.imsave(fnamebase + '1.png', im, quantize=256) imageio.imsave(fnamebase + '2.png', im, quantize=4) im = imageio.imread(fnamebase + '2.png') # touch palette read code s1 = os.stat(fnamebase + '1.png').st_size s2 = os.stat(fnamebase + '2.png').st_size assert s1 > s2 # Fail fname = fnamebase + '1.png' raises(ValueError, imageio.imsave, fname, im[:, :, :3], quantize=300) raises(ValueError, imageio.imsave, fname, im[:, :, 0], quantize=100) def test_png_dtypes(): # See issue #44 # Two images, one 0-255, one 0-200 im1 = np.zeros((100, 100, 3), dtype='uint8') im2 = np.zeros((100, 100, 3), dtype='uint8') im1[20:80, 20:80, :] = 255 im2[20:80, 20:80, :] = 200 fname = fnamebase + '.dtype.png' # uint8 imageio.imsave(fname, im1) assert_close(im1, imageio.imread(fname)) imageio.imsave(fname, im2) assert_close(im2, imageio.imread(fname)) # float scaled imageio.imsave(fname, im1 / 255.0) assert_close(im1, imageio.imread(fname)) imageio.imsave(fname, im2 / 255.0) assert_close(im2, imageio.imread(fname)) # float not scaled imageio.imsave(fname, im1 * 1.0) assert_close(im1, imageio.imread(fname)) imageio.imsave(fname, im2 * 1.0) assert_close(im1, imageio.imread(fname)) # scaled # int16 imageio.imsave(fname, im1.astype('int16')) assert_close(im1, imageio.imread(fname)) imageio.imsave(fname, im2.astype('int16')) assert_close(im1, imageio.imread(fname)) # scaled def test_jpg(): for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3): fname = fnamebase + '%i.%i.%i.jpg' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 1.1) # lossy # No alpha in JPEG raises(Exception, imageio.imsave, fname, im4) # Parameters imageio.imsave(fnamebase + '.jpg', im3, progressive=True, optimize=True, baseline=True) # Parameter fail raises(TypeError, imageio.imread, fnamebase + '.jpg', notavalidkwarg=True) raises(TypeError, imageio.imsave, fnamebase + '.jpg', im, notavalidk=True) # Compression imageio.imsave(fnamebase + '1.jpg', im3, quality=10) imageio.imsave(fnamebase + '2.jpg', im3, quality=90) s1 = os.stat(fnamebase + '1.jpg').st_size s2 = os.stat(fnamebase + '2.jpg').st_size assert s2 > s1 raises(ValueError, imageio.imsave, fnamebase + '.jpg', im, quality=120) def test_jpg_more(): need_internet() # Test broken JPEG fname = fnamebase + '_broken.jpg' open(fname, 'wb').write(b'this is not an image') raises(Exception, imageio.imread, fname) # bb = imageio.imsave(imageio.RETURN_BYTES, get_ref_im(3, 0, 0), 'JPEG') with open(fname, 'wb') as f: f.write(bb[:400]) f.write(b' ') f.write(bb[400:]) raises(Exception, imageio.imread, fname) # Test EXIF stuff fname = get_remote_file('images/rommel.jpg') im = imageio.imread(fname) assert im.shape[0] > im.shape[1] im = imageio.imread(fname, exifrotate=False) assert im.shape[0] < im.shape[1] im = imageio.imread(fname, exifrotate=2) # Rotation in Python assert im.shape[0] > im.shape[1] # Write the jpg and check that exif data is maintained if sys.platform.startswith('darwin'): return # segfaults on my osx VM, why? imageio.imsave(fnamebase + 'rommel.jpg', im) im = imageio.imread(fname) assert im.meta.EXIF_MAIN def test_bmp(): for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 1, 3, 4): fname = fnamebase + '%i.%i.%i.bmp' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 0.1) # lossless # Compression imageio.imsave(fnamebase + '1.bmp', im3, compression=False) imageio.imsave(fnamebase + '2.bmp', im3, compression=True) s1 = os.stat(fnamebase + '1.bmp').st_size s2 = os.stat(fnamebase + '2.bmp').st_size assert s1 + s2 # todo: bug in FreeImage? assert s1 < s2 # Parameter fail raises(TypeError, imageio.imread, fnamebase + '1.bmp', notavalidkwarg=True) raises(TypeError, imageio.imsave, fnamebase + '1.bmp', im, notavalidk=True) def test_gif(): # The not-animated gif for isfloat in (False, True): for crop in (0, 1, 2): for colors in (0, 3, 4): if colors > 1 and sys.platform.startswith('darwin'): continue # quantize fails, see also png fname = fnamebase + '%i.%i.%i.gif' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 if colors in (0, 1): im = im[:, :, 0] else: im = im[:, :, :3] rim = rim[:, :, :3] assert_close(rim * mul, im, 1.1) # lossless # Parameter fail raises(TypeError, imageio.imread, fname, notavalidkwarg=True) raises(TypeError, imageio.imsave, fnamebase + '1.gif', im, notavalidk=True) def test_animated_gif(): if sys.platform.startswith('darwin'): skip('On OSX quantization of freeimage is unstable') # Get images im = get_ref_im(4, 0, 0) ims = [] for i in range(10): im = im.copy() im[:, -5:, 0] = i * 20 ims.append(im) # Store - animated GIF always poops out RGB for isfloat in (False, True): for colors in (3, 4): ims1 = ims[:] if isfloat: ims1 = [x.astype(np.float32) / 256 for x in ims1] ims1 = [x[:, :, :colors] for x in ims1] fname = fnamebase + '.animated.%i.gif' % colors imageio.mimsave(fname, ims1, duration=0.2) # Retrieve ims2 = imageio.mimread(fname) ims1 = [x[:, :, :3] for x in ims] # fresh ref ims2 = [x[:, :, :3] for x in ims2] # discart alpha for im1, im2 in zip(ims1, ims2): assert_close(im1, im2, 1.1) # We can also store grayscale fname = fnamebase + '.animated.%i.gif' % 1 imageio.mimsave(fname, [x[:, :, 0] for x in ims], duration=0.2) imageio.mimsave(fname, [x[:, :, :1] for x in ims], duration=0.2) # Irragular duration. You probably want to check this manually (I did) duration = [0.1 for i in ims] for i in [2, 5, 7]: duration[i] = 0.5 imageio.mimsave(fnamebase + '.animated_irr.gif', ims, duration=duration) # Other parameters imageio.mimsave(fnamebase + '.animated.loop2.gif', ims, loop=2, fps=20) R = imageio.read(fnamebase + '.animated.loop2.gif') W = imageio.save(fnamebase + '.animated.palettes100.gif', palettesize=100) assert W._palettesize == 128 # Fail raises(IndexError, R.get_meta_data, -1) raises(ValueError, imageio.mimsave, fname, ims, palettesize=300) raises(ValueError, imageio.mimsave, fname, ims, quantizer='foo') raises(ValueError, imageio.mimsave, fname, ims, duration='foo') # Add one duplicate image to ims to touch subractangle with not change ims.append(ims[-1]) # Test subrectangles imageio.mimsave(fnamebase + '.subno.gif', ims, subrectangles=False) imageio.mimsave(fnamebase + '.subyes.gif', ims, subrectangles=True) s1 = os.stat(fnamebase + '.subno.gif').st_size s2 = os.stat(fnamebase + '.subyes.gif').st_size assert s2 < s1 # Meta (dummy, because always {} assert isinstance(imageio.read(fname).get_meta_data(), dict) def test_ico(): if os.getenv('TRAVIS', '') == 'true' and sys.version_info >= (3, 4): skip('Freeimage ico is unstable for this Travis build') for isfloat in (False, True): for crop in (0, ): for colors in (1, 3, 4): fname = fnamebase + '%i.%i.%i.ico' % (isfloat, crop, colors) rim = get_ref_im(colors, crop, isfloat) rim = rim[:32, :32] # ico needs nice size imageio.imsave(fname, rim) im = imageio.imread(fname) mul = 255 if isfloat else 1 assert_close(rim * mul, im, 0.1) # lossless # Meta data R = imageio.read(fnamebase + '0.0.1.ico') assert isinstance(R.get_meta_data(0), dict) assert isinstance(R.get_meta_data(None), dict) # But this print warning R.close() writer = imageio.save(fnamebase + 'I.ico') writer.set_meta_data({}) writer.close() # Parameters. Note that with makealpha, RGBA images are read in incorrectly im = imageio.imread(fnamebase + '0.0.1.ico', makealpha=True) assert im.ndim == 3 and im.shape[-1] == 4 # Parameter fail raises(TypeError, imageio.imread, fname, notavalidkwarg=True) raises(TypeError, imageio.imsave, fnamebase + '1.gif', im, notavalidk=True) if sys.platform.startswith('win'): # issue #21 skip('Windows has a known issue with multi-icon files') # Multiple images im = get_ref_im(4, 0, 0)[:32, :32] ims = [np.repeat(np.repeat(im, i, 1), i, 0) for i in (1, 2)] # SegF on win ims = im, np.column_stack((im, im)), np.row_stack((im, im)) # error on win imageio.mimsave(fnamebase + 'I2.ico', ims) ims2 = imageio.mimread(fnamebase + 'I2.ico') for im1, im2 in zip(ims, ims2): assert_close(im1, im2, 0.1) def test_mng(): pass # MNG seems broken in FreeImage #ims = imageio.imread(get_remote_file('images/mngexample.mng')) def test_other(): # Cannot save float im = get_ref_im(3, 0, 1) raises(Exception, imageio.imsave, fnamebase + '.jng', im, 'JNG') if __name__ == '__main__': #test_animated_gif() run_tests_if_main() imageio-2.1.2/tests/test_freeimage_suite.py0000666000000000000000000000575613021637246017561 0ustar rootroot""" The test suite of freeimage plugin """ import os import sys import zipfile import shutil from pytest import raises # noqa from imageio.testing import get_test_dir import imageio from imageio.core import get_remote_file, IS_PYPY, urlopen # noqa test_dir = get_test_dir() # During this test, pretend that FI is the default format? # imageio.formats.sort('-FI') # Url to download images from ulr = ("http://sourceforge.net/projects/freeimage/files/" "Test%20Suite%20%28graphics%29/2.5.0/") # Names of zipfiles to download names = ['png', 'jpeg', 'bmp', 'ico', 'tiff', 'targa', 'koa', 'mng', 'iff', 'psd', 'ppm', 'pcx'] # Define what formats are not writable, we will convert these to png NOT_WRITABLE = ['.pgm', '.koa', '.pcx', '.mng', '.iff', '.psd', '.lbm'] # Define files that fail (i.e. crash) FAILS = [] if sys.platform.startswith('linux'): FAILS.extend(['quad-jpeg.tif', 'test1g.tif', 'ycbcr-cat.tif']) THISDIR = os.path.dirname(os.path.abspath(__file__)) TESTDIR = os.path.join(THISDIR, 'temp') ZIPDIR = os.path.join(THISDIR, 'zipped') def run_feeimage_test_suite(): """ Run freeimage test suite. Lots of images. Berrer done locally and then checking the result. Not so much suited for CI, I think. """ if not os.path.isdir(TESTDIR): os.mkdir(TESTDIR) if not os.path.isdir(ZIPDIR): os.mkdir(ZIPDIR) for name in names: fname = os.path.join(ZIPDIR, name+'.zip') # Make sure that the file is there if not os.path.isfile(fname): print('Downloading %s.zip' % name) f1 = urlopen(ulr+name+'.zip') f2 = open(fname, 'wb') shutil.copyfileobj(f1, f2) f1.close() f2.close() # Check contents zf = zipfile.ZipFile(fname, 'r') subnames = zf.namelist() zf.extractall(TESTDIR) zf.close() # Read and write each one for subname in subnames: if subname in FAILS: continue fname_zip = fname+'/%s' % subname subname_, ext = os.path.splitext(subname) fname_dst1 = os.path.join(TESTDIR, subname+'_1'+ext) fname_dst2 = os.path.join(TESTDIR, subname+'_2'+ext) if os.path.splitext(subname)[1].lower() in NOT_WRITABLE: fname_dst1 += '.png' fname_dst2 += '.png' print('Reading+saving %s' % subname) try: # Read from zip, save to file im = imageio.imread(fname_zip) imageio.imsave(fname_dst1, im) # Read from file, save to file im = imageio.imread(fname_dst1) imageio.imsave(fname_dst2, im) except Exception: e_type, e_value, e_tb = sys.exc_info() del e_tb err = str(e_value) print('woops! ' + fname_zip) print(' ' + err) if __name__ == '__main__': run_feeimage_test_suite() imageio-2.1.2/tests/test_meta.py0000666000000000000000000001207113023014720015322 0ustar rootroot""" Test imageio meta stuff, like namespaces and spuriuos imports """ from __future__ import print_function import os import sys import subprocess from pytest import raises # noqa from imageio.testing import run_tests_if_main import imageio def run_subprocess(command, return_code=False, **kwargs): """ Run command in subprocess and return stdout and stderr. Raise CalledProcessError if the process returned non-zero. """ use_kwargs = dict(stderr=subprocess.PIPE, stdout=subprocess.PIPE) use_kwargs.update(kwargs) p = subprocess.Popen(command, **use_kwargs) stdout, stderr = p.communicate() output = (stdout or b'').decode('utf-8'), (stderr or b'').decode('utf-8') if p.returncode: print(output[0], output[1]) raise subprocess.CalledProcessError(p.returncode, command, output) return output def loaded_modules(import_module, depth=None, all_modules=False): """ Import the given module in subprocess and return set of loaded modules Import a certain module in a clean subprocess and return the modules that are subsequently loaded. The given depth indicates the module level (i.e. depth=1 will only yield 'X.Y' but not 'X.Y.Z'). """ imageio_dir = os.path.dirname(os.path.dirname( os.path.abspath(imageio.__file__))) # Get the loaded modules in a clean interpreter code = "import sys, %s; print(', '.join(sys.modules))" % import_module res = run_subprocess([sys.executable, '-c', code], cwd=imageio_dir)[0] loaded_modules = [name.strip() for name in res.split(',')] # Filter by depth filtered_modules = set() if depth is None: filtered_modules = set(loaded_modules) else: for m in loaded_modules: parts = m.split('.') m = '.'.join(parts[:depth]) filtered_modules.add(m) # Filter by imageio (or not) if all_modules: return filtered_modules else: imageio_modules = set() for m in filtered_modules: if m.startswith('imageio') and '__future__' not in m: imageio_modules.add(m) return imageio_modules def test_namespace(): """ Test that all names from the public API are in the main namespace """ has_names = dir(imageio) has_names = set([n for n in has_names if not n.startswith('_')]) need_names = ('help formats read save RETURN_BYTES ' 'get_reader imread mimread volread mvolread ' 'get_writer imwrite mimwrite volwrite mvolwrite ' 'read save imsave mimsave volsave mvolsave ' # aliases ).split(' ') need_names = set([n for n in need_names if n]) # Check that all names are there assert need_names.issubset(has_names) # Check that there are no extra names extra_names = has_names.difference(need_names) extra_names.discard('testing') # can be there during testing assert extra_names == set(['core', 'plugins', 'show_formats']) def test_import_nothing(): """ Not importing imageio should not import any imageio modules. """ modnames = loaded_modules('os', 2) assert modnames == set() def test_import_modules(): """ Test that importing imageio does not import modules that should not be imported. """ modnames = loaded_modules('imageio', 3) # Test if everything seems to be there assert 'imageio.core' in modnames assert 'imageio.plugins' in modnames assert 'imageio.plugins.ffmpeg' in modnames assert 'imageio.plugins.dicom' in modnames # Test that modules that should not be imported are indeed not imported assert 'imageio.freeze' not in modnames assert 'imageio.testing' not in modnames def test_import_dependencies(): """ Test that importing imageio is not dragging in anything other than the known dependencies. """ # Get loaded modules when numpy is imported and when imageio is imported modnames_ref = loaded_modules('numpy', 1, True) modnames_new = loaded_modules('imageio', 1, True) # Get the difference; what do we import extra? extra_modules = modnames_new.difference(modnames_ref) known_modules = ['zipfile', 'importlib', 'logging', 'json', 'decimal', 'fractions', 'tempfile'] # discard these # Remove modules in standard library stdloc = os.path.dirname(os.__file__) print('os', stdloc) for modname in list(extra_modules): mod = sys.modules[modname] if modname.startswith('_') or modname in known_modules: extra_modules.discard(modname) elif not hasattr(mod, '__file__'): extra_modules.discard(modname) # buildin module elif os.path.splitext(mod.__file__)[1] in ('.so', '.dylib', '.pyd'): extra_modules.discard(modname) # buildin module elif os.path.dirname(mod.__file__) == stdloc: extra_modules.discard(modname) else: print(modname, mod.__file__) # Check that only imageio is left assert extra_modules == set(['imageio']) run_tests_if_main() imageio-2.1.2/tests/README.md0000666000000000000000000000071312645434546014267 0ustar rootrootIn imageio all tests are contained in a single directory. There should be one test module per plugin. We aim for 100% test coverage for imageio.core, and over 90% for each plugin. We use the excelent test.py package, use a hook to Travis for continuous integration, and to Coveralls for coverage reporting. To run tests locally run: python make test unit python make test style To show coverage locally, run: python make test cover imageio-2.1.2/tests/test_simpleitk.py0000666000000000000000000000226513021637246016415 0ustar rootroot""" Test simpleitk plugin functionality. """ import os import numpy as np import pytest from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir import imageio test_dir = get_test_dir() try: import SimpleITK as itk except ImportError: itk = None @pytest.mark.skipif('itk is None') def test_simpleitk_reading_writing(): """ Test reading and saveing tiff """ im2 = np.ones((10, 10, 3), np.uint8) * 2 filename1 = os.path.join(test_dir, 'test_tiff.tiff') # One image imageio.imsave(filename1, im2, 'itk') im = imageio.imread(filename1, 'itk') ims = imageio.mimread(filename1, 'itk') assert (im == im2).all() assert len(ims) == 1 # Mixed W = imageio.save(filename1, 'itk') raises(RuntimeError, W.set_meta_data, 1) assert W.format.name == 'ITK' W.append_data(im2) W.append_data(im2) W.close() # R = imageio.read(filename1, 'itk') assert R.format.name == 'ITK' ims = list(R) # == [im for im in R] assert (ims[0] == im2).all() # Fail raises(IndexError, R.get_data, -1) raises(IndexError, R.get_data, 3) raises(RuntimeError, R.get_meta_data) run_tests_if_main() imageio-2.1.2/tests/test_ffmpeg.py0000666000000000000000000002744413044620232015656 0ustar rootroot""" Test ffmpeg """ from io import BytesIO import time import threading import numpy as np from pytest import raises, skip from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file, IS_PYPY test_dir = get_test_dir() def setup_module(): try: imageio.plugins.ffmpeg.download() except imageio.core.InternetNotAllowedError: pass def test_select(): fname1 = get_remote_file('images/cockatoo.mp4', test_dir) F = imageio.formats['ffmpeg'] assert F.name == 'FFMPEG' assert F.can_read(core.Request(fname1, 'rI')) assert F.can_write(core.Request(fname1, 'wI')) assert not F.can_read(core.Request(fname1, 'ri')) assert not F.can_read(core.Request(fname1, 'rv')) # ffmpeg is default assert imageio.formats['.mp4'] is F assert imageio.formats.search_write_format(core.Request(fname1, 'wI')) is F assert imageio.formats.search_read_format(core.Request(fname1, 'rI')) is F def test_read_and_write(): need_internet() R = imageio.read(get_remote_file('images/cockatoo.mp4'), 'ffmpeg') assert R.format is imageio.formats['ffmpeg'] fname1 = get_remote_file('images/cockatoo.mp4', test_dir) fname2 = fname1[:-4] + '.out.mp4' # Read ims1 = [] with imageio.read(fname1, 'ffmpeg') as R: for i in range(10): im = R.get_next_data() ims1.append(im) assert im.shape == (720, 1280, 3) assert (im.sum() / im.size) > 0 # pypy mean is broken assert im.sum() > 0 # Seek im = R.get_data(120) assert im.shape == (720, 1280, 3) # Save with imageio.save(fname2, 'ffmpeg') as W: for im in ims1: W.append_data(im) # Read the result ims2 = imageio.mimread(fname2, 'ffmpeg') assert len(ims1) == len(ims2) # Check for im1, im2 in zip(ims1, ims2): diff = np.abs(im1.astype(np.float32) - im2.astype(np.float32)) if IS_PYPY: assert (diff.sum() / diff.size) < 100 else: assert diff.mean() < 2.5 def test_reader_more(): need_internet() fname1 = get_remote_file('images/cockatoo.mp4', test_dir) fname3 = fname1[:-4] + '.stub.mp4' # Get meta data R = imageio.read(fname1, 'ffmpeg', loop=True) meta = R.get_meta_data() assert len(R) == 280 assert isinstance(meta, dict) assert 'fps' in meta R.close() # Test size argument im = imageio.read(fname1, 'ffmpeg', size=(50, 50)).get_data(0) assert im.shape == (50, 50, 3) im = imageio.read(fname1, 'ffmpeg', size='40x40').get_data(0) assert im.shape == (40, 40, 3) raises(ValueError, imageio.read, fname1, 'ffmpeg', size=20) raises(ValueError, imageio.read, fname1, 'ffmpeg', pixelformat=20) # Read all frames and test length R = imageio.read(get_remote_file('images/realshort.mp4'), 'ffmpeg') count = 0 while True: try: R.get_next_data() except IndexError: break else: count += 1 assert count == len(R) assert count in (35, 36) # allow one frame off size that we know # Test index error -1 raises(IndexError, R.get_data, -1) # Now read beyond (simulate broken file) with raises(RuntimeError): R._read_frame() # ffmpeg seems to have an extra frame, avbin not? R._read_frame() # Test loop R = imageio.read(get_remote_file('images/realshort.mp4'), 'ffmpeg', loop=1) im1 = R.get_next_data() for i in range(1, len(R)): R.get_next_data() im2 = R.get_next_data() im3 = R.get_data(0) im4 = R.get_data(2) # touch skipping frames assert (im1 == im2).all() assert (im1 == im3).all() assert not (im1 == im4).all() R.close() # Read invalid open(fname3, 'wb') raises(IOError, imageio.read, fname3, 'ffmpeg') # Read printing info imageio.read(fname1, 'ffmpeg', print_info=True) def test_writer_more(): need_internet() fname1 = get_remote_file('images/cockatoo.mp4', test_dir) fname2 = fname1[:-4] + '.out.mp4' W = imageio.save(fname2, 'ffmpeg') with raises(ValueError): # Invalid shape W.append_data(np.zeros((20, 20, 5), np.uint8)) W.append_data(np.zeros((20, 20, 3), np.uint8)) with raises(ValueError): # Different shape from first image W.append_data(np.zeros((20, 19, 3), np.uint8)) with raises(ValueError): # Different depth from first image W.append_data(np.zeros((20, 20, 4), np.uint8)) with raises(RuntimeError): # No meta data W.set_meta_data({'foo': 3}) W.close() def test_writer_file_properly_closed(tmpdir): # Test to catch if file is correctly closed. # Otherwise it won't play in most players. This seems to occur on windows. need_internet() tmpf = tmpdir.join('test.mp4') W = imageio.get_writer(str(tmpf)) for i in range(10): W.append_data(np.zeros((100, 100, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) # If Duration: N/A reported by ffmpeg, then the file was not # correctly closed. # This will cause the file to not be readable in many players. assert "Duration: N/A" not in W._stderr_catcher.header def test_writer_pixelformat_size_verbose(tmpdir): # Check that video pixel format and size get written as expected. need_internet() # Make sure verbose option works and that default pixelformat is yuv420p tmpf = tmpdir.join('test.mp4', fps=30) W = imageio.get_writer(str(tmpf), ffmpeg_log_level='debug') nframes = 4 # Number of frames in video for i in range(nframes): # Use size divisible by 16 or it gets changed. W.append_data(np.zeros((64, 64, 3), np.uint8)) W.close() # Check that video is correct size & default output video pixel format # is correct W = imageio.get_reader(str(tmpf)) assert len(W) == nframes assert "64x64" in W._stderr_catcher.header assert "yuv420p" in W._stderr_catcher.header # Now check that macroblock size gets turned off if requested W = imageio.get_writer(str(tmpf), macro_block_size=None, ffmpeg_log_level='debug') for i in range(nframes): W.append_data(np.zeros((100, 106, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) assert len(W) == nframes assert "106x100" in W._stderr_catcher.header assert "yuv420p" in W._stderr_catcher.header # Now double check values different than default work W = imageio.get_writer(str(tmpf), macro_block_size=4, ffmpeg_log_level='debug') for i in range(nframes): W.append_data(np.zeros((64, 65, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) assert len(W) == nframes assert "68x64" in W._stderr_catcher.header assert "yuv420p" in W._stderr_catcher.header # Now check that the macroblock works as expected for the default of 16 W = imageio.get_writer(str(tmpf), ffmpeg_log_level='debug') for i in range(nframes): W.append_data(np.zeros((111, 140, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) assert len(W) == nframes # Check for warning message with macroblock assert "144x112" in W._stderr_catcher.header assert "yuv420p" in W._stderr_catcher.header def test_writer_ffmpeg_params(tmpdir): need_internet() # Test optional ffmpeg_params with a valid option # Also putting in an image size that is not divisible by macroblock size # To check that the -vf scale overwrites what it does. tmpf = tmpdir.join('test.mp4') W = imageio.get_writer(str(tmpf), ffmpeg_params=['-vf', 'scale=320:240']) for i in range(10): W.append_data(np.zeros((100, 100, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) # Check that the optional argument scaling worked. assert "320x240" in W._stderr_catcher.header def test_writer_wmv(tmpdir): need_internet() # WMV has different default codec, make sure it works. tmpf = tmpdir.join('test.wmv') W = imageio.get_writer(str(tmpf), ffmpeg_params=['-v', 'info']) for i in range(10): W.append_data(np.zeros((100, 100, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) # Check that default encoder is msmpeg4 for wmv assert "msmpeg4" in W._stderr_catcher.header def test_cvsecs(): cvsecs = imageio.plugins.ffmpeg.cvsecs assert cvsecs(20) == 20 assert cvsecs(2, 20) == (2 * 60) + 20 assert cvsecs(2, 3, 20) == (2 * 3600) + (3 * 60) + 20 def test_limit_lines(): limit_lines = imageio.plugins.ffmpeg.limit_lines lines = ['foo'] * 10 assert len(limit_lines(lines)) == 10 lines = ['foo'] * 50 assert len(limit_lines(lines)) == 50 # < 2 * N lines = ['foo'] * 70 + ['bar'] lines2 = limit_lines(lines) assert len(lines2) == 33 # > 2 * N assert b'last few lines' in lines2[0] assert 'bar' == lines2[-1] def test_framecatcher(): class BlockingBytesIO(BytesIO): def __init__(self): BytesIO.__init__(self) self._lock = threading.RLock() def write_and_rewind(self, bb): with self._lock: t = self.tell() self.write(bb) self.seek(t) def read(self, n): if self.closed: return b'' while True: time.sleep(0.001) with self._lock: bb = BytesIO.read(self, n) if bb: return bb # Test our class file = BlockingBytesIO() file.write_and_rewind(b'v') assert file.read(100) == b'v' file = BlockingBytesIO() N = 100 T = imageio.plugins.ffmpeg.FrameCatcher(file, N) # Init None time.sleep(0.1) assert T._frame is None # get_frame() would stall # Read frame file.write_and_rewind(b'x' * (N - 20)) time.sleep(0.2) # Let it read a part assert T._frame is None # get_frame() would stall file.write_and_rewind(b'x' * 20) time.sleep(0.2) # Let it read the rest assert T.get_frame() == b'x' * N # Read frame when we pass plenty of data file.write_and_rewind(b'y' * N * 3) time.sleep(0.2) assert T.get_frame() == b'y' * N # Close file.close() def test_dcmtk(): # This should not crach, we make no assumptions on whether its # available or not imageio.plugins.dicom.get_dcmdjpeg_exe() def test_webcam(): need_internet() try: imageio.read('') except Exception: skip('no web cam') def show_in_console(): reader = imageio.read('cockatoo.mp4', 'ffmpeg') #reader = imageio.read('') im = reader.get_next_data() while True: im = reader.get_next_data() print('frame min/max/mean: %1.1f / %1.1f / %1.1f' % (im.min(), im.max(), (im.sum() / im.size))) def show_in_visvis(): reader = imageio.read('cockatoo.mp4', 'ffmpeg') #reader = imageio.read('') import visvis as vv im = reader.get_next_data() f = vv.clf() f.title = reader.format.name t = vv.imshow(im, clim=(0, 255)) while not f._destroyed: t.SetData(reader.get_next_data()) vv.processEvents() def test_reverse_read(tmpdir): need_internet() # Ensure we can read a file in reverse without error. tmpf = tmpdir.join('test_vid.mp4') W = imageio.get_writer(str(tmpf)) for i in range(300): W.append_data(np.zeros((64, 64, 3), np.uint8)) W.close() W = imageio.get_reader(str(tmpf)) for i in range(len(W)-1, 0, -1): print("reading", i) W.get_data(i) W.close() if __name__ == '__main__': run_tests_if_main() #reader = imageio.read('cockatoo.mp4', 'ffmpeg') imageio-2.1.2/tests/test_swf.py0000666000000000000000000001323712777444162015226 0ustar rootroot""" Tests for the shockwave flash plugin """ import os import numpy as np from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file test_dir = get_test_dir() mean = lambda x: x.sum() / x.size # pypy-compat mean # We use need_internet; don't ship the swf image: its rather big and a # rather specific format def test_format_selection(): need_internet() fname1 = get_remote_file('images/stent.swf', test_dir) fname2 = fname1[:-4] + '.out.swf' F = imageio.formats['swf'] assert F.name == 'SWF' assert imageio.formats['.swf'] is F assert imageio.read(fname1).format is F assert imageio.save(fname2).format is F def test_reading_saving(): need_internet() fname1 = get_remote_file('images/stent.swf', test_dir) fname2 = fname1[:-4] + '.out.swf' fname3 = fname1[:-4] + '.compressed.swf' fname4 = fname1[:-4] + '.out2.swf' # Read R = imageio.read(fname1) assert len(R) == 10 assert R.get_meta_data() == {} # always empty dict ims1 = [] for im in R: assert im.shape == (657, 451, 4) assert mean(im) > 0 ims1.append(im) # Seek assert (R.get_data(3) == ims1[3]).all() # Fails raises(IndexError, R.get_data, -1) # No negative index raises(IndexError, R.get_data, 10) # Out of bounds R.close() # Test loop R = imageio.read(fname1, loop=True) assert (R.get_data(10) == ims1[0]).all() # setting meta data is ignored W = imageio.save(fname2) W.set_meta_data({'foo': 3}) W.close() # Write and re-read, now without loop, and with html page imageio.mimsave(fname2, ims1, loop=False, html=True) ims2 = imageio.mimread(fname2) # Check images. We can expect exact match, since # SWF is lossless. assert len(ims1) == len(ims2) for im1, im2 in zip(ims1, ims2): assert (im1 == im2).all() # Test compressed imageio.mimsave(fname3, ims2, compress=True) ims3 = imageio.mimread(fname3) assert len(ims1) == len(ims3) for im1, im3 in zip(ims1, ims3): assert (im1 == im3).all() # Test conventional, Bonus, we don't officially support this. _swf = imageio.plugins.swf.load_lib() _swf.write_swf(fname4, ims1) ims4 = _swf.read_swf(fname4) assert len(ims1) == len(ims4) for im1, im4 in zip(ims1, ims4): assert (im1 == im4).all() # We want to manually validate that this file plays in 3d party tools # So we write a small HTML5 doc that we can load html = """ Original:

Written:

Compressed:

Written 2: """ % (fname1, fname2, fname3, fname4) with open(os.path.join(test_dir, 'test_swf.html'), 'wb') as f: for line in html.splitlines(): f.write(line.strip().encode('utf-8') + b'\n') def test_read_from_url(): need_internet() burl = 'https://raw.githubusercontent.com/imageio/imageio-binaries/master/' url = burl + 'images/stent.swf' ims = imageio.mimread(url) assert len(ims) == 10 def test_invalid(): need_internet() fname1 = get_remote_file('images/stent.swf', test_dir) fname2 = fname1[:-4] + '.invalid.swf' # Empty file with open(fname2, 'wb'): pass assert not imageio.formats.search_read_format(core.Request(fname2, 'rI')) raises(IOError, imageio.mimread, fname2, 'swf') # File with BS data with open(fname2, 'wb') as f: f.write(b'x'*100) assert not imageio.formats.search_read_format(core.Request(fname2, 'rI')) raises(IOError, imageio.mimread, fname2, 'swf') def test_lowlevel(): need_internet() # Some tests from low level implementation that is not covered # by using the plugin itself. _swf = imageio.plugins.swf.load_lib() tag = _swf.Tag() raises(NotImplementedError, tag.process_tag) assert tag.make_matrix_record() == '00000000' assert tag.make_matrix_record(scale_xy=(1, 1)) assert tag.make_matrix_record(rot_xy=(1, 1)) assert tag.make_matrix_record(trans_xy=(1, 1)) SetBackgroundTag = _swf.SetBackgroundTag assert SetBackgroundTag(1, 2, 3).rgb == SetBackgroundTag((1, 2, 3)).rgb tag = _swf.ShapeTag(0, (0, 0), (1, 1)) assert tag.make_style_change_record(1, 1, (1, 1)) assert tag.make_style_change_record() assert (tag.make_straight_edge_record(2, 3).tobytes() == tag.make_straight_edge_record((2, 3)).tobytes()) def test_types(): need_internet() fname1 = get_remote_file('images/stent.swf', test_dir) fname2 = fname1[:-4] + '.out3.swf' for dtype in [np.uint8, np.uint16, np.uint32, np.uint64, np.int8, np.int16, np.int32, np.int64, np.float16, np.float32, np.float64]: for shape in [(100, 1), (100, 3)]: # Repeats an identity matrix, just for testing im1 = np.dstack((np.identity(shape[0], dtype=dtype), )*shape[1]) imageio.mimsave(fname2, [im1], 'swf') im2 = imageio.mimread(fname2, 'swf')[0] assert im2.shape == (100, 100, 4) assert im2.dtype == np.uint8 if len(shape) == 3 and dtype == np.uint8: assert (im1[:, :, 0] == im2[:, :, 0]).all() run_tests_if_main() imageio-2.1.2/tests/test_tifffile.py0000666000000000000000000000372213022635612016177 0ustar rootroot""" Test tifffile plugin functionality. """ import os import numpy as np from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir, need_internet from imageio.core import get_remote_file import imageio test_dir = get_test_dir() def test_tifffile_format(): # Test selection for name in ['tiff', '.tif']: format = imageio.formats[name] assert format.name == 'TIFF' def test_tifffile_reading_writing(): """ Test reading and saving tiff """ need_internet() # We keep a test image in the imageio-binary repo im2 = np.ones((10, 10, 3), np.uint8) * 2 filename1 = os.path.join(test_dir, 'test_tiff.tiff') # One image imageio.imsave(filename1, im2) im = imageio.imread(filename1) ims = imageio.mimread(filename1) assert (im == im2).all() assert len(ims) == 1 # Multiple images imageio.mimsave(filename1, [im2, im2, im2]) im = imageio.imread(filename1) ims = imageio.mimread(filename1) assert (im == im2).all() assert len(ims) == 3, ims[0].shape # remote multipage rgb file filename2 = get_remote_file('images/multipage_rgb.tif') img = imageio.mimread(filename2) assert len(img) == 2 assert img[0].shape == (3, 10, 10) # Mixed W = imageio.save(filename1) W.set_meta_data({'planarconfig': 'planar'}) assert W.format.name == 'TIFF' W.append_data(im2) W.append_data(im2) W.close() # R = imageio.read(filename1) assert R.format.name == 'TIFF' ims = list(R) # == [im for im in R] assert (ims[0] == im2).all() meta = R.get_meta_data() assert meta['is_rgb'] # Fail raises(IndexError, R.get_data, -1) raises(IndexError, R.get_data, 3) # Ensure imwrite write works round trip filename3 = os.path.join(test_dir, 'test_tiff2.tiff') R = imageio.imread(filename1) imageio.imwrite(filename3, R) R2 = imageio.imread(filename3) assert (R == R2).all() run_tests_if_main() imageio-2.1.2/tests/test_gdal.py0000666000000000000000000000142012645440004015306 0ustar rootroot""" Test gdal plugin functionality. """ import pytest from imageio.testing import run_tests_if_main, get_test_dir import imageio from imageio.core import get_remote_file test_dir = get_test_dir() try: from osgeo import gdal except ImportError: gdal = None @pytest.mark.skipif('gdal is None') def test_gdal_reading(): """ Test reading gdal""" filename = get_remote_file('images/geotiff.tif') im = imageio.imread(filename, 'gdal') assert im.shape == (929, 699) R = imageio.read(filename, 'gdal') assert R.format.name == 'GDAL' meta_data = R.get_meta_data() assert 'TIFFTAG_XRESOLUTION' in meta_data # Fail raises = pytest.raises raises(IndexError, R.get_data, -1) raises(IndexError, R.get_data, 3) run_tests_if_main() imageio-2.1.2/tests/test_fits.py0000666000000000000000000000365613021637246015366 0ustar rootroot""" Test fits plugin functionality. """ import pytest from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio.core import get_remote_file, Request, IS_PYPY test_dir = get_test_dir() try: import astropy except ImportError: astropy = None def setup_module(): # During this test, pretend that FITS is the default format imageio.formats.sort('FITS') def teardown_module(): # Set back to normal imageio.formats.sort() @pytest.mark.skipif('astropy is None') def test_fits_format(): need_internet() # We keep the fits files in the imageio-binary repo # Test selection for name in ['fits', '.fits']: format = imageio.formats['fits'] assert format.name == 'FITS' assert format.__module__.endswith('.fits') # Test cannot read png = get_remote_file('images/chelsea.png') assert not format.can_read(Request(png, 'ri')) assert not format.can_write(Request(png, 'wi')) @pytest.mark.skipif('astropy is None') def test_fits_reading(): """ Test reading fits """ need_internet() # We keep the fits files in the imageio-binary repo if IS_PYPY: return # no support for fits format :( simple = get_remote_file('images/simple.fits') multi = get_remote_file('images/multi.fits') # One image im = imageio.imread(simple) ims = imageio.mimread(simple) assert (im == ims[0]).all() assert len(ims) == 1 # Multiple images ims = imageio.mimread(multi) assert len(ims) == 3 R = imageio.read(multi) assert R.format.name == 'FITS' ims = list(R) # == [im for im in R] assert len(ims) == 3 # Fail raises = pytest.raises raises(IndexError, R.get_data, -1) raises(IndexError, R.get_data, 3) raises(RuntimeError, R.get_meta_data, None) # no meta data support raises(RuntimeError, R.get_meta_data, 0) # no meta data support run_tests_if_main() imageio-2.1.2/tests/test_avbin.py0000666000000000000000000001204013021637244015501 0ustar rootroot""" Test imageio avbin functionality. """ from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir, need_internet import imageio from imageio import core from imageio.core import get_remote_file # if IS_PYPY: # skip('AVBIn not supported on pypy') test_dir = get_test_dir() mean = lambda x: x.sum() / x.size # pypy-compat mean def setup_module(): try: imageio.plugins.avbin.download() except imageio.core.InternetNotAllowedError: pass def test_select(): fname1 = get_remote_file('images/cockatoo.mp4', test_dir) F = imageio.formats['avbin'] assert F.name == 'AVBIN' assert F.can_read(core.Request(fname1, 'rI')) assert not F.can_write(core.Request(fname1, 'wI')) assert not F.can_read(core.Request(fname1, 'ri')) assert not F.can_read(core.Request(fname1, 'rv')) # ffmpeg is default #formats = imageio.formats #assert formats['.mp4'] is F #assert formats.search_write_format(core.Request(fname1, 'wI')) is F #assert formats.search_read_format(core.Request(fname1, 'rI')) is F def test_read(): need_internet() R = imageio.read(get_remote_file('images/cockatoo.mp4'), 'avbin') assert R.format is imageio.formats['avbin'] fname = get_remote_file('images/cockatoo.mp4', force_download='2014-11-05') reader = imageio.read(fname, 'avbin') assert reader.get_length() == 280 assert 'fps' in reader.get_meta_data() raises(Exception, imageio.save, '~/foo.mp4', 'abin') #assert not reader.format.can_write(core.Request('test.mp4', 'wI')) for i in range(10): im = reader.get_next_data() assert im.shape == (720, 1280, 3) # todo: fix this #assert mean(im) > 100 and mean(im) < 115 KNOWN FAIL # We can rewind reader.get_data(0) # But not seek with raises(IndexError): reader.get_data(4) def test_reader_more(): need_internet() fname1 = get_remote_file('images/cockatoo.mp4') fname3 = fname1[:-4] + '.stub.mp4' # Get meta data R = imageio.read(fname1, 'avbin', loop=True) meta = R.get_meta_data() assert isinstance(meta, dict) assert 'fps' in meta R.close() # Read all frames and test length R = imageio.read(get_remote_file('images/realshort.mp4'), 'avbin') count = 0 while True: try: R.get_next_data() except IndexError: break else: count += 1 assert count == len(R) assert count in (35, 36) # allow one frame off size that we know # Test index error -1 raises(IndexError, R.get_data, -1) # Test loop R = imageio.read(get_remote_file('images/realshort.mp4'), 'avbin', loop=1) im1 = R.get_next_data() for i in range(1, len(R)): R.get_next_data() im2 = R.get_next_data() im3 = R.get_data(0) assert (im1 == im2).all() assert (im1 == im3).all() R.close() # Test size when skipping empty frames, are there *any* valid frames? # todo: use mimread once 1) len(R) == inf, or 2) len(R) is correct R = imageio.read(get_remote_file('images/realshort.mp4'), 'avbin', skipempty=True) ims = [] with R: try: while True: ims.append(R.get_next_data()) except IndexError: pass assert len(ims) > 20 # todo: should be 35/36 but with skipempty ... # Read invalid open(fname3, 'wb') raises(IOError, imageio.read, fname3, 'avbin') def test_read_format(): need_internet() # Set videofomat # Also set skipempty, so we can test mean reader = imageio.read(get_remote_file('images/cockatoo.mp4'), 'avbin', videoformat='mp4', skipempty=True) for i in range(10): im = reader.get_next_data() assert im.shape == (720, 1280, 3) assert mean(im) > 100 and mean(im) < 115 def test_stream(): need_internet() with raises(IOError): imageio.read(get_remote_file('images/cockatoo.mp4'), 'avbin', stream=5) def test_invalidfile(): need_internet() filename = test_dir+'/empty.mp4' with open(filename, 'w'): pass with raises(IOError): imageio.read(filename, 'avbin') # Check AVbinResult imageio.plugins.avbin.AVbinResult(imageio.plugins.avbin.AVBIN_RESULT_OK) for i in (2, 3, 4): with raises(RuntimeError): imageio.plugins.avbin.AVbinResult(i) def show_in_mpl(): reader = imageio.read('cockatoo.mp4', 'avbin') for i in range(10): reader.get_next_data() import pylab pylab.ion() pylab.show(reader.get_next_data()) def show_in_visvis(): reader = imageio.read('cockatoo.mp4', 'avbin') #reader = imageio.read('') import visvis as vv im = reader.get_next_data() f = vv.clf() f.title = reader.format.name t = vv.imshow(im, clim=(0, 255)) while not f._destroyed: t.SetData(reader.get_next_data()) vv.processEvents() run_tests_if_main() imageio-2.1.2/tests/test_npz.py0000666000000000000000000000433713024662536015230 0ustar rootroot""" Test npz plugin functionality. """ import os import numpy as np from pytest import raises from imageio.testing import run_tests_if_main, get_test_dir import imageio from imageio.core import get_remote_file, Request, IS_PYPY test_dir = get_test_dir() def test_npz_format(): # Test selection for name in ['npz', '.npz']: format = imageio.formats['npz'] assert format.name == 'NPZ' assert format.__module__.endswith('.npz') # Test cannot read png = get_remote_file('images/chelsea.png') assert not format.can_read(Request(png, 'ri')) assert not format.can_write(Request(png, 'wi')) def test_npz_reading_writing(): """ Test reading and saveing npz """ if IS_PYPY: return # no support for npz format :( im2 = np.ones((10, 10), np.uint8) * 2 im3 = np.ones((10, 10, 10), np.uint8) * 3 im4 = np.ones((10, 10, 10, 10), np.uint8) * 4 filename1 = os.path.join(test_dir, 'test_npz.npz') # One image imageio.imsave(filename1, im2) im = imageio.imread(filename1) ims = imageio.mimread(filename1) assert (im == im2).all() assert len(ims) == 1 # Multiple images imageio.mimsave(filename1, [im2, im2, im2]) im = imageio.imread(filename1) ims = imageio.mimread(filename1) assert (im == im2).all() assert len(ims) == 3 # Volumes imageio.mvolsave(filename1, [im3, im3]) im = imageio.volread(filename1) ims = imageio.mvolread(filename1) assert (im == im3).all() assert len(ims) == 2 # Mixed W = imageio.save(filename1) assert W.format.name == 'NPZ' W.append_data(im2) W.append_data(im3) W.append_data(im4) raises(RuntimeError, W.set_meta_data, {}) # no meta data support W.close() # R = imageio.read(filename1) assert R.format.name == 'NPZ' ims = list(R) # == [im for im in R] assert (ims[0] == im2).all() assert (ims[1] == im3).all() assert (ims[2] == im4).all() # Fail raises(IndexError, R.get_data, -1) raises(IndexError, R.get_data, 3) raises(RuntimeError, R.get_meta_data, None) # no meta data support raises(RuntimeError, R.get_meta_data, 0) # no meta data support run_tests_if_main() imageio-2.1.2/tests/test_fei_tiff.py0000666000000000000000000000262313022635612016161 0ustar rootroot"""Test FEI SEM image plugin functionality. FEI TIFFs contain metadata as ASCII plaintext at the end of the file. """ from __future__ import unicode_literals import os from pytest import raises import numpy as np from imageio.testing import run_tests_if_main, get_test_dir, need_internet from imageio.core import get_remote_file import imageio def test_fei_file_reading(): need_internet() # We keep a test image in the imageio-binaries repo fei_filename = get_remote_file('images/fei-sem-rbc.tif') reader = imageio.get_reader(fei_filename, format='fei') image = reader.get_data(0) # imageio.Image object assert image.shape == (1024, 1536) assert np.round(np.mean(image)) == 142 assert len(image.meta) == 18 assert image.meta['EScan']['PixelHeight'] == 7.70833e-009 assert isinstance(image.meta['Image']['ResolutionX'], int) image_with_watermark = reader.get_data(0, discard_watermark=False) assert image_with_watermark.shape == (1094, 1536) assert np.round(np.mean(image_with_watermark)) == 137 assert reader.get_data(0, discard_watermark=False).shape == (1094, 1536) def test_fei_file_fail(): normal_tif = os.path.join(get_test_dir(), 'test_tiff.tiff') imageio.imsave(normal_tif, np.zeros((5, 5), dtype=np.uint8)) bad_reader = imageio.get_reader(normal_tif, format='fei') assert raises(ValueError, bad_reader._get_meta_data) run_tests_if_main() imageio-2.1.2/CONTRIBUTORS.txt0000666000000000000000000000120513022650722014323 0ustar rootroot - Almar Klein Plugin system Most plugins so far - Anthony Tanbakuchi Improvements to the ffmpeg plugin - Anselm Levskaya Fixed bug (causing segfaults) related to freeimiage GIF writing - Ghis Vaillant Debian packaging - jackwalker64 Fixes for ffmpeg plugin - Joel Nises Improvements and fixes for the FreeImage plugin - Juan Nunez-Iglesias FEI plugin - legionaryu Fixes for the GIF plugin - Rob Reilink AvBin plugin - Zach Pincus and others from the scikit-image team Initial version of freeimage plugin Initial code for findlib and lib downloading - Zulko Various contribution related to the ffmpeg plugin. imageio-2.1.2/README.md0000666000000000000000000001212013024761666013116 0ustar rootroot# IMAGEIO [![Build status](https://ci.appveyor.com/api/projects/status/4wjqg4o5r2q53iwt/branch/master?svg=true)](https://ci.appveyor.com/project/almarklein/imageio/branch/master) [![Build Status](https://travis-ci.org/imageio/imageio.svg?branch=master)](https://travis-ci.org/imageio/imageio) [![Coverage Status](https://coveralls.io/repos/imageio/imageio/badge.png?branch=master)](https://coveralls.io/r/imageio/imageio?branch=master) [![Documentation Status](https://readthedocs.org/projects/imageio/badge/?version=latest)](https://imageio.readthedocs.org) Website: http://imageio.github.io

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, video, volumetric data, and scientific formats. It is cross-platform, runs on Python 2.x and 3.x, and is easy to install.

Example

Here's a minimal example of how to use imageio. See the docs for more examples. 
>>> import imageio
>>> im = imageio.imread('imageio:chelsea.png')  # read a standard image
>>> im.shape  # im is a numpy array
(300, 451, 3)
>>> imageio.imwrite('~/chelsea-gray.jpg', im[:, :, 0])

API in a nutshell

As a user, you just have to remember a handfull of functions:
  • imread() and imwrite() - for single images
  • mimread() and mimwrite() - for image series (animations)
  • volread() and volwrite() - for volumetric image data
  • get_reader() and get_writer() - for more control (e.g. streaming)
  • See the user api for more information

Features

  • Simple interface via a consise set of functions.
  • Easy to install using conda or pip.
  • Few dependencies (only Numpy).
  • Pure Python, runs on Python 2.6+, 3.x, and Pypy
  • Cross platform, runs on Windows, Linux, OS X (Raspberry Pi planned)
  • Lots of supported formats.
  • Can read from file names, file objects, zipfiles, http/ftp, and raw bytes.
  • Easy to extend using plugins.
  • Code quality is maintained with many tests and continuous integration.

Details

Imageio has a relatively simple core that provides a common interface to different file formats. This core takes care of reading from different sources (like http), and exposes a simple API for the plugins to access the raw data. All file formats are implemented in plugins. Additional plugins can easily be registered.

Some plugins rely on external libraries (e.g. ffmpeg). Imageio provides a way to download these with one function call, and prompts the user to do so when needed. The download is cached in your appdata directory, this keeps imageio light and scalable.

We plan to provide a wide range of image formats. Also scientific formats. Any help in implementing more formats is very welcome!

The codebase adheres to (a subset of) the PEP8 style guides. We strive for maximum test coverage (100% for the core, >95% for each plugin).

Dependencies

Minimal requirements:
  • Python 3.x, 2.7 or 2.6
  • Numpy
  • Pillow
Optional Python packages:
  • SimpleITK (for ITK formats)
  • astropy (for FITS plugin)
  • osgeo (for GDAL plugin)
Optional libraries and executables that Imageio provides and can be downloaded with one function call:
  • freeimage (library)
  • ffmpeg (executable)
  • avbin (library)

Origin and outlook

Imageio was based out of the frustration that many libraries that needed to read or write image data produced their own functionality for IO. PIL did not meet the needs very well, and libraries like scikit-image need to be able to deal with scientific formats. I felt there was a need for a good image io library, which is an easy dependency, easy to maintain, and scalable to exotic file formats.

Imageio started out as component of the scikit-image project, through which it was able to support a lot of common formats. We created a simple but powerful core, a clean user API, and a proper plugin system.

The purpose of imageio is to support reading and writing of image data. We're not processing images, you should use scikit-image for that. Imageio should be easy to install and be lightweight. Imageio's plugin system makes it possible to scale the number of supported formats and still keep a low footprint.

It is impossible for one person to implement and maintain a wide variety of formats. My hope is to form a group of developers, who each maintain one or more plugins. In that way, the burder of each developer is low, and together we can make imageio into a really useful library!

imageio-2.1.2/setup.py0000666000000000000000000001603013026741372013347 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (C) 2015, imageio contributors # # imageio is distributed under the terms of the (new) BSD License. # The full license can be found in 'license.txt'. # styletest: skip """ Before release: * Run test suite on pypy (with numpy) * Run test suite on Windows 32 * Run test suite on Windows 64 * Run test suite on OS X * Write release notes * Check if docs are still good * Maybe test pypi page via "python setup.py register -r test" Release: * Increase __version__ * git tag the release * Upload to Pypi: python setup.py sdist upload * Update conda recipe on conda-forge feedstock After release: * Set __version__ to dev * Announce """ import os import os.path as op import sys import shutil from distutils.core import Command from distutils.command.sdist import sdist from distutils.command.build_py import build_py try: from setuptools import setup # Supports wheels except ImportError: from distutils.core import setup # Supports anything else try: from wheel.bdist_wheel import bdist_wheel except ImportError: bdist_wheel = object name = 'imageio' description = 'Library for reading and writing a wide range of image, video, scientific, and volumetric data formats.' THIS_DIR = os.path.dirname(os.path.abspath(__file__)) # Get version and docstring __version__ = None __doc__ = '' docStatus = 0 # Not started, in progress, done initFile = os.path.join(THIS_DIR, 'imageio', '__init__.py') for line in open(initFile).readlines(): if (line.startswith('__version__')): exec(line.strip()) elif line.startswith('"""'): if docStatus == 0: docStatus = 1 line = line.lstrip('"') elif docStatus == 1: docStatus = 2 if docStatus == 1: __doc__ += line # Template for long description. __doc__ gets inserted here long_description = """ .. image:: https://travis-ci.org/imageio/imageio.svg?branch=master :target: https://travis-ci.org/imageio/imageio' .. image:: https://coveralls.io/repos/imageio/imageio/badge.png?branch=master :target: https://coveralls.io/r/imageio/imageio?branch=master __doc__ Release notes: http://imageio.readthedocs.org/en/latest/releasenotes.html Example: .. code-block:: python >>> import imageio >>> im = imageio.imread('astronaut.png') >>> im.shape # im is a numpy array (512, 512, 3) >>> imageio.imwrite('imageio:astronaut-gray.jpg', im[:, :, 0]) See the `user API `_ or `examples `_ for more information. """ # Prepare resources dir package_data = [] package_data.append('resources/shipped_resources_go_here') package_data.append('resources/*.*') package_data.append('resources/images/*.*') package_data.append('resources/freeimage/*.*') package_data.append('resources/ffmpeg/*.*') package_data.append('resources/avbin/*.*') def _set_crossplatform_resources(resource_dir): import imageio # Clear now if op.isdir(resource_dir): shutil.rmtree(resource_dir) os.mkdir(resource_dir) open(op.join(resource_dir, 'shipped_resources_go_here'), 'wb') # Load images for fname in ['images/chelsea.png', 'images/chelsea.zip', 'images/astronaut.png', 'images/newtonscradle.gif', 'images/cockatoo.mp4', 'images/realshort.mp4', 'images/stent.npz', ]: imageio.core.get_remote_file(fname, resource_dir, force_download=True) def _set_platform_resources(resource_dir, platform): import imageio # Create file to show platform assert platform open(op.join(resource_dir, 'platform_%s' % platform), 'wb') # Load freeimage fname = imageio.plugins.freeimage.FNAME_PER_PLATFORM[platform] imageio.core.get_remote_file('freeimage/'+fname, resource_dir, force_download=True) # Load ffmpeg #fname = imageio.plugins.ffmpeg.FNAME_PER_PLATFORM[platform] #imageio.core.get_remote_file('ffmpeg/'+fname, resource_dir, # force_download=True) class test_command(Command): user_options = [] def initialize_options(self): pass def finalize_options(self): pass def run(self): from imageio import testing os.environ['IMAGEIO_NO_INTERNET'] = '1' # run tests without inet sys.exit(testing.test_unit()) class build_with_fi(build_py): def run(self): # Download images and libs import imageio resource_dir = imageio.core.resource_dirs()[0] _set_crossplatform_resources(resource_dir) _set_platform_resources(resource_dir, imageio.core.get_platform()) # Build as normal build_py.run(self) class build_with_images(sdist): def run(self): # Download images import imageio resource_dir = imageio.core.resource_dirs()[0] _set_crossplatform_resources(resource_dir) # Build as normal sdist.run(self) setup( cmdclass={#'bdist_wheel_all': bdist_wheel_all, #'sdist_all': sdist_all, 'build_with_images': build_with_images, 'build_with_fi': build_with_fi, 'sdist': build_with_images, 'test': test_command}, name = name, version = __version__, author = 'imageio contributors', author_email = 'almar.klein@gmail.com', license = '(new) BSD', url = 'http://imageio.github.io/', download_url = 'http://pypi.python.org/pypi/imageio', keywords = "image video volume imread imwrite io animation ffmpeg", description = description, long_description = long_description.replace('__doc__', __doc__), platforms = 'any', provides = ['imageio'], install_requires = ['numpy', 'pillow'], extras_require = {'fits': ['astropy'], 'gdal': ['gdal'], 'simpleitk': ['SimpleITK'], 'full': ['astropy', 'gdal', 'SimpleITK'], }, packages = ['imageio', 'imageio.core', 'imageio.plugins'], package_dir = {'imageio': 'imageio'}, # Data in the package package_data = {'imageio': package_data}, classifiers = [ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Science/Research', 'Intended Audience :: Education', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Operating System :: MacOS :: MacOS X', 'Operating System :: Microsoft :: Windows', 'Operating System :: POSIX', 'Programming Language :: Python', 'Programming Language :: Python :: 2.6', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3.2', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', ], ) imageio-2.1.2/LICENSE0000666000000000000000000000242612615243100012633 0ustar rootrootCopyright (c) 2014, imageio developers All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. imageio-2.1.2/imageio/0000755000000000000000000000000013055262616013244 5ustar rootrootimageio-2.1.2/imageio/freeze.py0000666000000000000000000000043412615243100015067 0ustar rootroot""" Helper functions for freezing imageio. """ import sys def get_includes(): if sys.version_info[0] == 3: urllib = ['email', 'urllib.request', ] else: urllib = ['urllib2'] return urllib + ['numpy', 'zipfile', 'io'] def get_excludes(): return [] imageio-2.1.2/imageio/__init__.py0000666000000000000000000000237313044620304015354 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. # This docstring is used at the index of the documentation pages, and # gets inserted into a slightly larger description (in setup.py) for # the page on Pypi: """ Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 2.x and 3.x, and is easy to install. Main website: http://imageio.github.io """ # flake8: noqa __version__ = '2.1.2' # Load some bits from core from .core import FormatManager, RETURN_BYTES # Instantiate format manager formats = FormatManager() # Load the functions from .core.functions import help from .core.functions import get_reader, get_writer from .core.functions import imread, mimread, volread, mvolread from .core.functions import imwrite, mimwrite, volwrite, mvolwrite # Load function aliases from .core.functions import read, save from .core.functions import imsave, mimsave, volsave, mvolsave # Load all the plugins from . import plugins # expose the show method of formats show_formats = formats.show # Clean up some names del FormatManager imageio-2.1.2/imageio/testing.py0000666000000000000000000001621113021637244015274 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # Distributed under the (new) BSD License. See LICENSE.txt for more info. """ Functionality used for testing. This code itself is not covered in tests. """ from __future__ import absolute_import, print_function, division import os import sys import inspect import shutil import atexit import pytest # Get root dir THIS_DIR = os.path.abspath(os.path.dirname(__file__)) ROOT_DIR = THIS_DIR for i in range(9): ROOT_DIR = os.path.dirname(ROOT_DIR) if os.path.isfile(os.path.join(ROOT_DIR, '.gitignore')): break STYLE_IGNORES = ['E226', 'E241', 'E265', 'E266', # too many leading '#' for block comment 'E402', # module level import not at top of file 'E731', # do not assign a lambda expression, use a def 'W291', 'W293', 'W503', # line break before binary operator 'I', 'D', 'T', 'CG', # flake8 plugins that we do not follow ] ## Functions to use in tests def run_tests_if_main(show_coverage=False): """ Run tests in a given file if it is run as a script Coverage is reported for running this single test. Set show_coverage to launch the report in the web browser. """ local_vars = inspect.currentframe().f_back.f_locals if not local_vars.get('__name__', '') == '__main__': return # we are in a "__main__" os.chdir(ROOT_DIR) fname = str(local_vars['__file__']) _clear_imageio() _enable_faulthandler() pytest.main(['-v', '-x', '--color=yes', '--cov', 'imageio', '--cov-config', '.coveragerc', '--cov-report', 'html', fname]) if show_coverage: import webbrowser fname = os.path.join(ROOT_DIR, 'htmlcov', 'index.html') webbrowser.open_new_tab(fname) _the_test_dir = None def get_test_dir(): global _the_test_dir if _the_test_dir is None: # Define dir from imageio.core import appdata_dir _the_test_dir = os.path.join(appdata_dir('imageio'), 'testdir') # Clear and create it now clean_test_dir(True) os.makedirs(_the_test_dir) os.makedirs(os.path.join(_the_test_dir, 'images')) # And later atexit.register(clean_test_dir) return _the_test_dir def clean_test_dir(strict=False): if os.path.isdir(_the_test_dir): try: shutil.rmtree(_the_test_dir) except Exception: if strict: raise def need_internet(): if os.getenv('IMAGEIO_NO_INTERNET', '').lower() in ('1', 'true', 'yes'): pytest.skip('No internet') ## Functions to use from make def test_unit(cov_report='term'): """ Run all unit tests. Returns exit code. """ orig_dir = os.getcwd() os.chdir(ROOT_DIR) try: _clear_imageio() _enable_faulthandler() return pytest.main(['-v', '--cov', 'imageio', '--cov-config', '.coveragerc', '--cov-report', cov_report, 'tests']) finally: os.chdir(orig_dir) import imageio print('Tests were performed on', str(imageio)) def test_style(): """ Test style using flake8 """ # Test if flake is there try: import flake8 # noqa except ImportError as err: print('Skipping flake8 test, flake8 not installed') return # Reporting print('Running flake8 on %s' % ROOT_DIR) sys.stdout = FileForTesting(sys.stdout) # Init ignores = STYLE_IGNORES.copy() fail = False count = 0 # Iterate over files for dir, dirnames, filenames in os.walk(ROOT_DIR): dir = os.path.relpath(dir, ROOT_DIR) # Skip this dir? exclude_dirs = set(['.git', 'docs', 'build', 'dist', '__pycache__']) if exclude_dirs.intersection(dir.split(os.path.sep)): continue # Check all files ... for fname in filenames: if fname.endswith('.py'): # Get test options for this file filename = os.path.join(ROOT_DIR, dir, fname) skip, extra_ignores = _get_style_test_options(filename) if skip: continue # Test count += 1 thisfail = _test_style(filename, ignores + extra_ignores) if thisfail: fail = True print('----') sys.stdout.flush() # Report result sys.stdout.revert() if not count: raise RuntimeError(' Arg! flake8 did not check any files') elif fail: raise RuntimeError(' Arg! flake8 failed (checked %i files)' % count) else: print(' Hooray! flake8 passed (checked %i files)' % count) ## Requirements def _enable_faulthandler(): """ Enable faulthandler (if we can), so that we get tracebacks on segfaults. """ try: import faulthandler faulthandler.enable() print('Faulthandler enabled') except Exception: print('Could not enable faulthandler') def _clear_imageio(): # Remove ourselves from sys.modules to force an import for key in list(sys.modules.keys()): if key.startswith('imageio'): del sys.modules[key] class FileForTesting(object): """ Alternative to stdout that makes path relative to ROOT_DIR """ def __init__(self, original): self._original = original def write(self, msg): if msg.startswith(ROOT_DIR): msg = os.path.relpath(msg, ROOT_DIR) self._original.write(msg) self._original.flush() def flush(self): self._original.flush() def revert(self): sys.stdout = self._original def _get_style_test_options(filename): """ Returns (skip, ignores) for the specified source file. """ skip = False ignores = [] text = open(filename, 'rb').read().decode('utf-8') # Iterate over lines for i, line in enumerate(text.splitlines()): if i > 20: break if line.startswith('# styletest:'): if 'skip' in line: skip = True elif 'ignore' in line: words = line.replace(',', ' ').split(' ') words = [w.strip() for w in words if w.strip()] words = [w for w in words if (w[1:].isnumeric() and w[0] in 'EWFCN')] ignores.extend(words) return skip, ignores def _test_style(filename, ignore): """ Test style for a certain file. """ if isinstance(ignore, (list, tuple)): ignore = ','.join(ignore) orig_dir = os.getcwd() orig_argv = sys.argv os.chdir(ROOT_DIR) sys.argv[1:] = [filename] sys.argv.append('--ignore=' + ignore) nerrors = 1 try: import flake8 # noqa from flake8.main.application import Application app = Application() app.run() nerrors = app.result_count app.exit() except SystemExit as ex: return nerrors finally: os.chdir(orig_dir) sys.argv[:] = orig_argv imageio-2.1.2/imageio/core/0000755000000000000000000000000013055262616014174 5ustar rootrootimageio-2.1.2/imageio/core/format.py0000666000000000000000000006310613037664054016052 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ .. note:: imageio is under construction, some details with regard to the Reader and Writer classes may change. These are the main classes of imageio. They expose an interface for advanced users and plugin developers. A brief overview: * imageio.FormatManager - for keeping track of registered formats. * imageio.Format - representation of a file format reader/writer * imageio.Format.Reader - object used during the reading of a file. * imageio.Format.Writer - object used during saving a file. * imageio.Request - used to store the filename and other info. Plugins need to implement a Format class and register a format object using ``imageio.formats.add_format()``. """ from __future__ import absolute_import, print_function, division # todo: do we even use the known extensions? # Some notes: # # The classes in this module use the Request object to pass filename and # related info around. This request object is instantiated in # imageio.get_reader and imageio.get_writer. from __future__ import with_statement import os from warnings import warn import numpy as np from . import Image, asarray from . import string_types, text_type, binary_type # noqa class CannotReadFrameError(RuntimeError): """ Exception to be used by plugins to indicate that a frame could not be read, even though it should be a valid index. The length could be inf, or e.g. video sometimes reports a wrong length. """ pass class Format(object): """ Represents an implementation to read/write a particular file format A format instance is responsible for 1) providing information about a format; 2) determining whether a certain file can be read/written with this format; 3) providing a reader/writer class. Generally, imageio will select the right format and use that to read/write an image. A format can also be explicitly chosen in all read/write functions. Use ``print(format)``, or ``help(format_name)`` to see its documentation. To implement a specific format, one should create a subclass of Format and the Format.Reader and Format.Writer classes. see :doc:`plugins` for details. Parameters ---------- name : str A short name of this format. Users can select a format using its name. description : str A one-line description of the format. extensions : str | list | None List of filename extensions that this format supports. If a string is passed it should be space or comma separated. The extensions are used in the documentation and to allow users to select a format by file extension. It is not used to determine what format to use for reading/saving a file. modes : str A string containing the modes that this format can handle ('iIvV'), “i” for an image, “I” for multiple images, “v” for a volume, “V” for multiple volumes. This attribute is used in the documentation and to select the formats when reading/saving a file. """ def __init__(self, name, description, extensions=None, modes=None): # Store name and description self._name = name.upper() self._description = description # Store extensions, do some effort to normalize them. # They are stored as a list of lowercase strings without leading dots. if extensions is None: extensions = [] elif isinstance(extensions, string_types): extensions = extensions.replace(',', ' ').split(' ') # if isinstance(extensions, (tuple, list)): self._extensions = tuple(['.' + e.strip('.').lower() for e in extensions if e]) else: raise ValueError('Invalid value for extensions given.') # Store mode self._modes = modes or '' if not isinstance(self._modes, string_types): raise ValueError('Invalid value for modes given.') for m in self._modes: if m not in 'iIvV?': raise ValueError('Invalid value for mode given.') def __repr__(self): # Short description return '' % (self.name, self.description) def __str__(self): return self.doc @property def doc(self): """ The documentation for this format (name + description + docstring). """ # Our docsring is assumed to be indented by four spaces. The # first line needs special attention. return '%s - %s\n\n %s\n' % (self.name, self.description, self.__doc__.strip()) @property def name(self): """ The name of this format. """ return self._name @property def description(self): """ A short description of this format. """ return self._description @property def extensions(self): """ A list of file extensions supported by this plugin. These are all lowercase with a leading dot. """ return self._extensions @property def modes(self): """ A string specifying the modes that this format can handle. """ return self._modes def get_reader(self, request): """ get_reader(request) Return a reader object that can be used to read data and info from the given file. Users are encouraged to use imageio.get_reader() instead. """ select_mode = request.mode[1] if request.mode[1] in 'iIvV' else '' if select_mode not in self.modes: raise RuntimeError('Format %s cannot read in mode %r' % (self.name, select_mode)) return self.Reader(self, request) def get_writer(self, request): """ get_writer(request) Return a writer object that can be used to write data and info to the given file. Users are encouraged to use imageio.get_writer() instead. """ select_mode = request.mode[1] if request.mode[1] in 'iIvV' else '' if select_mode not in self.modes: raise RuntimeError('Format %s cannot write in mode %r' % (self.name, select_mode)) return self.Writer(self, request) def can_read(self, request): """ can_read(request) Get whether this format can read data from the specified uri. """ return self._can_read(request) def can_write(self, request): """ can_write(request) Get whether this format can write data to the speciefed uri. """ return self._can_write(request) def _can_read(self, request): # pragma: no cover return None # Plugins must implement this def _can_write(self, request): # pragma: no cover return None # Plugins must implement this # ----- class _BaseReaderWriter(object): """ Base class for the Reader and Writer class to implement common functionality. It implements a similar approach for opening/closing and context management as Python's file objects. """ def __init__(self, format, request): self.__closed = False self._BaseReaderWriter_last_index = -1 self._format = format self._request = request # Open the reader/writer self._open(**self.request.kwargs.copy()) @property def format(self): """ The :class:`.Format` object corresponding to the current read/write operation. """ return self._format @property def request(self): """ The :class:`.Request` object corresponding to the current read/write operation. """ return self._request def __enter__(self): self._checkClosed() return self def __exit__(self, type, value, traceback): if value is None: # Otherwise error in close hide the real error. self.close() def __del__(self): try: self.close() except Exception: # pragma: no cover pass # Supress noise when called during interpreter shutdown def close(self): """ Flush and close the reader/writer. This method has no effect if it is already closed. """ if self.__closed: return self.__closed = True self._close() # Process results and clean request object self.request.finish() @property def closed(self): """ Whether the reader/writer is closed. """ return self.__closed def _checkClosed(self, msg=None): """Internal: raise an ValueError if reader/writer is closed """ if self.closed: what = self.__class__.__name__ msg = msg or ("I/O operation on closed %s." % what) raise RuntimeError(msg) # To implement def _open(self, **kwargs): """ _open(**kwargs) Plugins should probably implement this. It is called when reader/writer is created. Here the plugin can do its initialization. The given keyword arguments are those that were given by the user at imageio.read() or imageio.write(). """ raise NotImplementedError() def _close(self): """ _close() Plugins should probably implement this. It is called when the reader/writer is closed. Here the plugin can do a cleanup, flush, etc. """ raise NotImplementedError() # ----- class Reader(_BaseReaderWriter): """ The purpose of a reader object is to read data from an image resource, and should be obtained by calling :func:`.get_reader`. A reader can be used as an iterator to read multiple images, and (if the format permits) only reads data from the file when new data is requested (i.e. streaming). A reader can also be used as a context manager so that it is automatically closed. Plugins implement Reader's for different formats. Though rare, plugins may provide additional functionality (beyond what is provided by the base reader class). """ def get_length(self): """ get_length() Get the number of images in the file. (Note: you can also use ``len(reader_object)``.) The result can be: * 0 for files that only have meta data * 1 for singleton images (e.g. in PNG, JPEG, etc.) * N for image series * inf for streams (series of unknown length) """ return self._get_length() def get_data(self, index, **kwargs): """ get_data(index, **kwargs) Read image data from the file, using the image index. The returned image has a 'meta' attribute with the meta data. Some formats may support additional keyword arguments. These are listed in the documentation of those formats. """ self._checkClosed() self._BaseReaderWriter_last_index = index im, meta = self._get_data(index, **kwargs) return Image(im, meta) # Image tests im and meta def get_next_data(self, **kwargs): """ get_next_data(**kwargs) Read the next image from the series. Some formats may support additional keyword arguments. These are listed in the documentation of those formats. """ return self.get_data(self._BaseReaderWriter_last_index+1, **kwargs) def get_meta_data(self, index=None): """ get_meta_data(index=None) Read meta data from the file. using the image index. If the index is omitted or None, return the file's (global) meta data. Note that ``get_data`` also provides the meta data for the returned image as an atrribute of that image. The meta data is a dict, which shape depends on the format. E.g. for JPEG, the dict maps group names to subdicts and each group is a dict with name-value pairs. The groups represent the different metadata formats (EXIF, XMP, etc.). """ self._checkClosed() meta = self._get_meta_data(index) if not isinstance(meta, dict): raise ValueError('Meta data must be a dict, not %r' % meta.__class__.__name__) return meta def iter_data(self): """ iter_data() Iterate over all images in the series. (Note: you can also iterate over the reader object.) """ self._checkClosed() i, n = 0, self.get_length() while i < n: try: im, meta = self._get_data(i) except (IndexError, CannotReadFrameError): if n == float('inf'): return elif n - i == 1: uri = self.request.filename warn('Could not read last frame of %s.' % uri) return raise yield Image(im, meta) i += 1 # Compatibility def __iter__(self): return self.iter_data() def __len__(self): return self.get_length() # To implement def _get_length(self): """ _get_length() Plugins must implement this. The retured scalar specifies the number of images in the series. See Reader.get_length for more information. """ raise NotImplementedError() def _get_data(self, index): """ _get_data() Plugins must implement this, but may raise an IndexError in case the plugin does not support random access. It should return the image and meta data: (ndarray, dict). """ raise NotImplementedError() def _get_meta_data(self, index): """ _get_meta_data(index) Plugins must implement this. It should return the meta data as a dict, corresponding to the given index, or to the file's (global) meta data if index is None. """ raise NotImplementedError() # ----- class Writer(_BaseReaderWriter): """ The purpose of a writer object is to write data to an image resource, and should be obtained by calling :func:`.get_writer`. A writer will (if the format permits) write data to the file as soon as new data is provided (i.e. streaming). A writer can also be used as a context manager so that it is automatically closed. Plugins implement Writer's for different formats. Though rare, plugins may provide additional functionality (beyond what is provided by the base writer class). """ def append_data(self, im, meta=None): """ append_data(im, meta={}) Append an image (and meta data) to the file. The final meta data that is used consists of the meta data on the given image (if applicable), updated with the given meta data. """ self._checkClosed() # Check image data if not isinstance(im, np.ndarray): raise ValueError('append_data requires ndarray as first arg') # Get total meta dict total_meta = {} if hasattr(im, 'meta') and isinstance(im.meta, dict): total_meta.update(im.meta) if meta is None: pass elif not isinstance(meta, dict): raise ValueError('Meta must be a dict.') else: total_meta.update(meta) # Decouple meta info im = asarray(im) # Call return self._append_data(im, total_meta) def set_meta_data(self, meta): """ set_meta_data(meta) Sets the file's (global) meta data. The meta data is a dict which shape depends on the format. E.g. for JPEG the dict maps group names to subdicts, and each group is a dict with name-value pairs. The groups represents the different metadata formats (EXIF, XMP, etc.). Note that some meta formats may not be supported for writing, and individual fields may be ignored without warning if they are invalid. """ self._checkClosed() if not isinstance(meta, dict): raise ValueError('Meta must be a dict.') else: return self._set_meta_data(meta) # To implement def _append_data(self, im, meta): # Plugins must implement this raise NotImplementedError() def _set_meta_data(self, meta): # Plugins must implement this raise NotImplementedError() class FormatManager(object): """ There is exactly one FormatManager object in imageio: ``imageio.formats``. Its purpose it to keep track of the registered formats. The format manager supports getting a format object using indexing (by format name or extension). When used as an iterator, this object yields all registered format objects. See also :func:`.help`. """ def __init__(self): self._formats = [] self._formats_sorted = [] def __repr__(self): return '' % len(self) def __iter__(self): return iter(self._formats_sorted) def __len__(self): return len(self._formats) def __str__(self): ss = [] for format in self: ext = ', '.join(format.extensions) s = '%s - %s [%s]' % (format.name, format.description, ext) ss.append(s) return '\n'.join(ss) def __getitem__(self, name): # Check if not isinstance(name, string_types): raise ValueError('Looking up a format should be done by name ' 'or by extension.') if not name: raise ValueError('No format matches the empty string.') # Test if name is existing file if os.path.isfile(name): from . import Request format = self.search_read_format(Request(name, 'r?')) if format is not None: return format if '.' in name: # Look for extension e1, e2 = os.path.splitext(name.lower()) name = e2 or e1 # Search for format that supports this extension for format in self: if name in format.extensions: return format else: # Look for name name = name.upper() for format in self: if name == format.name: return format for format in self: if name == format.name.rsplit('-', 1)[0]: return format else: # Maybe the user meant to specify an extension return self['.'+name.lower()] # Nothing found ... raise IndexError('No format known by name %s.' % name) def sort(self, *names): """ sort(name1, name2, name3, ...) Sort the formats based on zero or more given names; a format with a name that matches one of the given names will take precedence over other formats. A match means an equal name, or ending with that name (though the former counts higher). Case insensitive. Format preference will match the order of the given names: using ``sort('TIFF', '-FI', '-PIL')`` would prefer the FreeImage formats over the Pillow formats, but prefer TIFF even more. Each time this is called, the starting point is the default format order, and calling ``sort()`` with no arguments will reset the order. Be aware that using the function can affect the behavior of other code that makes use of imageio. Also see the ``IMAGEIO_FORMAT_ORDER`` environment variable. """ # Check and sanitize imput for name in names: if not isinstance(name, string_types): raise TypeError('formats.sort() accepts only string names.') if any(c in name for c in '.,'): raise ValueError('Names given to formats.sort() should not ' 'contain dots or commas.') names = [name.strip().upper() for name in names] # Reset self._formats_sorted = list(self._formats) # Sort for name in reversed(names): sorter = lambda f: - ((f.name == name) + (f.name.endswith(name))) self._formats_sorted.sort(key=sorter) def add_format(self, format, overwrite=False): """ add_format(format, overwrite=False) Register a format, so that imageio can use it. If a format with the same name already exists, an error is raised, unless overwrite is True, in which case the current format is replaced. """ if not isinstance(format, Format): raise ValueError('add_format needs argument to be a Format object') elif format in self._formats: raise ValueError('Given Format instance is already registered') elif format.name in self.get_format_names(): if overwrite: old_format = self[format.name] self._formats.remove(old_format) if old_format in self._formats_sorted: self._formats_sorted.remove(old_format) else: raise ValueError('A Format named %r is already registered, use' ' overwrite=True to replace.' % format.name) self._formats.append(format) self._formats_sorted.append(format) def search_read_format(self, request): """ search_read_format(request) Search a format that can read a file according to the given request. Returns None if no appropriate format was found. (used internally) """ select_mode = request.mode[1] if request.mode[1] in 'iIvV' else '' select_ext = request.filename.lower() # Select formats that seem to be able to read it selected_formats = [] for format in self: if select_mode in format.modes: if select_ext.endswith(format.extensions): selected_formats.append(format) # Select the first that can for format in selected_formats: if format.can_read(request): return format # If no format could read it, it could be that file has no or # the wrong extension. We ask all formats again. for format in self: if format not in selected_formats: if format.can_read(request): return format def search_write_format(self, request): """ search_write_format(request) Search a format that can write a file according to the given request. Returns None if no appropriate format was found. (used internally) """ select_mode = request.mode[1] if request.mode[1] in 'iIvV' else '' select_ext = request.filename.lower() # Select formats that seem to be able to write it selected_formats = [] for format in self: if select_mode in format.modes: if select_ext.endswith(format.extensions): selected_formats.append(format) # Select the first that can for format in selected_formats: if format.can_write(request): return format # If none of the selected formats could write it, maybe another # format can still write it. It might prefer a different mode, # or be able to handle more formats than it says by its extensions. for format in self: if format not in selected_formats: if format.can_write(request): return format def get_format_names(self): """ Get the names of all registered formats. """ return [f.name for f in self] def show(self): """ Show a nicely formatted list of available formats """ print(self) imageio-2.1.2/imageio/core/findlib.py0000666000000000000000000001325513023623202016152 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # Copyright (C) 2013, Zach Pincus, Almar Klein and others """ This module contains generic code to find and load a dynamic library. """ from __future__ import absolute_import, print_function, division import os import sys import ctypes LOCALDIR = os.path.abspath(os.path.dirname(__file__)) # Flag that can be patched / set to True to disable loading non-system libs SYSTEM_LIBS_ONLY = False def looks_lib(fname): """ Returns True if the given filename looks like a dynamic library. Based on extension, but cross-platform and more flexible. """ fname = fname.lower() if sys.platform.startswith('win'): return fname.endswith('.dll') elif sys.platform.startswith('darwin'): return fname.endswith('.dylib') else: return fname.endswith('.so') or '.so.' in fname def generate_candidate_libs(lib_names, lib_dirs=None): """ Generate a list of candidate filenames of what might be the dynamic library corresponding with the given list of names. Returns (lib_dirs, lib_paths) """ lib_dirs = lib_dirs or [] # Get system dirs to search sys_lib_dirs = ['/lib', '/usr/lib', '/usr/lib/x86_64-linux-gnu', '/usr/local/lib', '/opt/local/lib', ] # Get Python dirs to search (shared if for Pyzo) py_sub_dirs = ['lib', 'DLLs', 'Library/bin', 'shared'] py_lib_dirs = [os.path.join(sys.prefix, d) for d in py_sub_dirs] if hasattr(sys, 'base_prefix'): py_lib_dirs += [os.path.join(sys.base_prefix, d) for d in py_sub_dirs] # Get user dirs to search (i.e. HOME) home_dir = os.path.expanduser('~') user_lib_dirs = [os.path.join(home_dir, d) for d in ['lib']] # Select only the dirs for which a directory exists, and remove duplicates potential_lib_dirs = lib_dirs + sys_lib_dirs + py_lib_dirs + user_lib_dirs lib_dirs = [] for ld in potential_lib_dirs: if os.path.isdir(ld) and ld not in lib_dirs: lib_dirs.append(ld) # Now attempt to find libraries of that name in the given directory # (case-insensitive) lib_paths = [] for lib_dir in lib_dirs: # Get files, prefer short names, last version files = os.listdir(lib_dir) files = reversed(sorted(files)) files = sorted(files, key=len) for lib_name in lib_names: # Test all filenames for name and ext for fname in files: if fname.lower().startswith(lib_name) and looks_lib(fname): lib_paths.append(os.path.join(lib_dir, fname)) # Return (only the items which are files) lib_paths = [lp for lp in lib_paths if os.path.isfile(lp)] return lib_dirs, lib_paths def load_lib(exact_lib_names, lib_names, lib_dirs=None): """ load_lib(exact_lib_names, lib_names, lib_dirs=None) Load a dynamic library. This function first tries to load the library from the given exact names. When that fails, it tries to find the library in common locations. It searches for files that start with one of the names given in lib_names (case insensitive). The search is performed in the given lib_dirs and a set of common library dirs. Returns ``(ctypes_library, library_path)`` """ # Checks assert isinstance(exact_lib_names, list) assert isinstance(lib_names, list) if lib_dirs is not None: assert isinstance(lib_dirs, list) exact_lib_names = [n for n in exact_lib_names if n] lib_names = [n for n in lib_names if n] # Get reference name (for better messages) if lib_names: the_lib_name = lib_names[0] elif exact_lib_names: the_lib_name = exact_lib_names[0] else: raise ValueError("No library name given.") # Collect filenames of potential libraries # First try a few bare library names that ctypes might be able to find # in the default locations for each platform. if SYSTEM_LIBS_ONLY: lib_dirs, lib_paths = [], [] else: lib_dirs, lib_paths = generate_candidate_libs(lib_names, lib_dirs) lib_paths = exact_lib_names + lib_paths # Select loader if sys.platform.startswith('win'): loader = ctypes.windll else: loader = ctypes.cdll # Try to load until success the_lib = None errors = [] for fname in lib_paths: try: the_lib = loader.LoadLibrary(fname) break except Exception: # Don't record errors when it couldn't load the library from an # exact name -- this fails often, and doesn't provide any useful # debugging information anyway, beyond "couldn't find library..." if fname not in exact_lib_names: # Get exception instance in Python 2.x/3.x compatible manner e_type, e_value, e_tb = sys.exc_info() del e_tb errors.append((fname, e_value)) # No success ... if the_lib is None: if errors: # No library loaded, and load-errors reported for some # candidate libs err_txt = ['%s:\n%s' % (l, str(e)) for l, e in errors] msg = ('One or more %s libraries were found, but ' + 'could not be loaded due to the following errors:\n%s') raise OSError(msg % (the_lib_name, '\n\n'.join(err_txt))) else: # No errors, because no potential libraries found at all! msg = 'Could not find a %s library in any of:\n%s' raise OSError(msg % (the_lib_name, '\n'.join(lib_dirs))) # Done return the_lib, fname imageio-2.1.2/imageio/core/request.py0000666000000000000000000004502613044620246016244 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Definition of the Request object, which acts as a kind of bridge between what the user wants and what the plugins can. """ from __future__ import absolute_import, print_function, division import sys import os from io import BytesIO import zipfile import tempfile import shutil from ..core import string_types, binary_type, urlopen, get_remote_file # URI types URI_BYTES = 1 URI_FILE = 2 URI_FILENAME = 3 URI_ZIPPED = 4 URI_HTTP = 5 URI_FTP = 6 # The user can use this string in a write call to get the data back as bytes. RETURN_BYTES = '' # Example images that will be auto-downloaded EXAMPLE_IMAGES = { 'astronaut.png': 'Image of the astronaut Eileen Collins', 'camera.png': 'Classic grayscale image of a photographer', 'checkerboard.png': 'Black and white image of a chekerboard', 'clock.png': 'Photo of a clock with motion blur (Stefan van der Walt)', 'coffee.png': 'Image of a cup of coffee (Rachel Michetti)', 'chelsea.png': 'Image of Stefan\'s cat', 'wikkie.png': 'Image of Almar\'s cat', 'coins.png': 'Image showing greek coins from Pompeii', 'horse.png': 'Image showing the silhouette of a horse (Andreas Preuss)', 'hubble_deep_field.png': 'Photograph taken by Hubble telescope (NASA)', 'immunohistochemistry.png': 'Immunohistochemical (IHC) staining', 'moon.png': 'Image showing a portion of the surface of the moon', 'page.png': 'A scanned page of text', 'text.png': 'A photograph of handdrawn text', 'chelsea.zip': 'The chelsea.png in a zipfile (for testing)', 'newtonscradle.gif': 'Animated GIF of a newton\'s cradle', 'cockatoo.mp4': 'Video file of a cockatoo', 'stent.npz': 'Volumetric image showing a stented abdominal aorta', } class Request(object): """ Request(uri, mode, **kwargs) Represents a request for reading or saving an image resource. This object wraps information to that request and acts as an interface for the plugins to several resources; it allows the user to read from filenames, files, http, zipfiles, raw bytes, etc., but offer a simple interface to the plugins via ``get_file()`` and ``get_local_filename()``. For each read/write operation a single Request instance is used and passed to the can_read/can_write method of a format, and subsequently to the Reader/Writer class. This allows rudimentary passing of information between different formats and between a format and associated reader/writer. parameters ---------- uri : {str, bytes, file} The resource to load the image from. mode : str The first character is "r" or "w", indicating a read or write request. The second character is used to indicate the kind of data: "i" for an image, "I" for multiple images, "v" for a volume, "V" for multiple volumes, "?" for don't care. """ def __init__(self, uri, mode, **kwargs): # General self._uri_type = None self._filename = None self._kwargs = kwargs self._result = None # Some write actions may have a result # To handle the user-side self._filename_zip = None # not None if a zipfile is used self._bytes = None # Incoming bytes self._zipfile = None # To store a zipfile instance (if used) # To handle the plugin side self._file = None # To store the file instance self._filename_local = None # not None if using tempfile on this FS self._firstbytes = None # For easy header parsing # To store formats that may be able to fulfil this request #self._potential_formats = [] # Check mode self._mode = mode if not isinstance(mode, string_types): raise ValueError('Request requires mode must be a string') if not len(mode) == 2: raise ValueError('Request requires mode to have two chars') if mode[0] not in 'rw': raise ValueError('Request requires mode[0] to be "r" or "w"') if mode[1] not in 'iIvV?': raise ValueError('Request requires mode[1] to be in "iIvV?"') # Parse what was given self._parse_uri(uri) def _parse_uri(self, uri): """ Try to figure our what we were given """ py3k = sys.version_info[0] == 3 is_read_request = self.mode[0] == 'r' is_write_request = self.mode[0] == 'w' if isinstance(uri, string_types): # Explicit if uri.startswith('imageio:'): if is_write_request: raise RuntimeError('Cannot write to the standard images.') fn = uri.split(':', 1)[-1].lower() fn, _, zip_part = fn.partition('.zip/') if zip_part: fn += '.zip' if fn not in EXAMPLE_IMAGES: raise ValueError('Unknown standard image %r.' % fn) self._uri_type = URI_FILENAME self._filename = get_remote_file('images/' + fn, auto=True) if zip_part: self._filename += '/' + zip_part elif uri.startswith('http://') or uri.startswith('https://'): self._uri_type = URI_HTTP self._filename = uri elif uri.startswith('ftp://') or uri.startswith('ftps://'): self._uri_type = URI_FTP self._filename = uri elif uri.startswith('file://'): self._uri_type = URI_FILENAME self._filename = uri[7:] elif uri.startswith(' 0: zip_i += 4 self._uri_type = URI_ZIPPED self._filename_zip = (self._filename[:zip_i], self._filename[zip_i:].lstrip('/\\')) break # Check if we could read it if self._uri_type is None: uri_r = repr(uri) if len(uri_r) > 60: uri_r = uri_r[:57] + '...' raise IOError("Cannot understand given URI: %s." % uri_r) # Check if this is supported noWriting = [URI_HTTP, URI_FTP] if is_write_request and self._uri_type in noWriting: raise IOError('imageio does not support writing to http/ftp.') # Deprecated way to load standard images, give a sensible error message if is_read_request and self._uri_type in [URI_FILENAME, URI_ZIPPED]: fn = self._filename if self._filename_zip: fn = self._filename_zip[0] if (not os.path.exists(fn)) and (fn in EXAMPLE_IMAGES): raise IOError('No such file: %r. This file looks like one of ' 'the standard images, but from imageio 2.1, ' 'standard images have to be specified using ' '"imageio:%s".' % (fn, fn)) # Make filename absolute if self._uri_type in [URI_FILENAME, URI_ZIPPED]: if self._filename_zip: self._filename_zip = (os.path.abspath(self._filename_zip[0]), self._filename_zip[1]) else: self._filename = os.path.abspath(self._filename) # Check whether file name is valid if self._uri_type in [URI_FILENAME, URI_ZIPPED]: fn = self._filename if self._filename_zip: fn = self._filename_zip[0] if is_read_request: # Reading: check that the file exists (but is allowed a dir) if not os.path.exists(fn): raise IOError("No such file: '%s'" % fn) else: # Writing: check that the directory to write to does exist dn = os.path.dirname(fn) if not os.path.exists(dn): raise IOError("The directory %r does not exist" % dn) @property def filename(self): """ The uri for which reading/saving was requested. This can be a filename, an http address, or other resource identifier. Do not rely on the filename to obtain the data, but use ``get_file()`` or ``get_local_filename()`` instead. """ return self._filename @property def mode(self): """ The mode of the request. The first character is "r" or "w", indicating a read or write request. The second character is used to indicate the kind of data: "i" for an image, "I" for multiple images, "v" for a volume, "V" for multiple volumes, "?" for don't care. """ return self._mode @property def kwargs(self): """ The dict of keyword arguments supplied by the user. """ return self._kwargs ## For obtaining data def get_file(self): """ get_file() Get a file object for the resource associated with this request. If this is a reading request, the file is in read mode, otherwise in write mode. This method is not thread safe. Plugins do not need to close the file when done. This is the preferred way to read/write the data. But if a format cannot handle file-like objects, they should use ``get_local_filename()``. """ want_to_write = self.mode[0] == 'w' # Is there already a file? # Either _uri_type == URI_FILE, or we already opened the file, # e.g. by using firstbytes if self._file is not None: return self._file if self._uri_type == URI_BYTES: if want_to_write: self._file = BytesIO() else: self._file = BytesIO(self._bytes) elif self._uri_type == URI_FILENAME: if want_to_write: self._file = open(self.filename, 'wb') else: self._file = open(self.filename, 'rb') elif self._uri_type == URI_ZIPPED: # Get the correct filename filename, name = self._filename_zip if want_to_write: # Create new file object, we catch the bytes in finish() self._file = BytesIO() else: # Open zipfile and open new file object for specific file self._zipfile = zipfile.ZipFile(filename, 'r') self._file = self._zipfile.open(name, 'r') elif self._uri_type in [URI_HTTP or URI_FTP]: assert not want_to_write # This should have been tested in init self._file = urlopen(self.filename, timeout=5) fix_HTTPResponse(self._file) return self._file def get_local_filename(self): """ get_local_filename() If the filename is an existing file on this filesystem, return that. Otherwise a temporary file is created on the local file system which can be used by the format to read from or write to. """ if self._uri_type == URI_FILENAME: return self._filename else: # Get filename if self._uri_type in (URI_HTTP, URI_FTP): ext = os.path.splitext(self._filename.split('?')[0])[1] else: ext = os.path.splitext(self._filename)[1] self._filename_local = tempfile.mktemp(ext, 'imageio_') # Write stuff to it? if self.mode[0] == 'r': with open(self._filename_local, 'wb') as file: shutil.copyfileobj(self.get_file(), file) return self._filename_local def finish(self): """ finish() For internal use (called when the context of the reader/writer exits). Finishes this request. Close open files and process results. """ # Init bytes = None # Collect bytes from temp file if self.mode[0] == 'w' and self._filename_local: with open(self._filename_local, 'rb') as file: bytes = file.read() # Collect bytes from BytesIO file object. written = (self.mode[0] == 'w') and self._file if written and self._uri_type in [URI_BYTES, URI_ZIPPED]: bytes = self._file.getvalue() # Close open files that we know of (and are responsible for) if self._file and self._uri_type != URI_FILE: self._file.close() self._file = None if self._zipfile: self._zipfile.close() self._zipfile = None # Remove temp file if self._filename_local: try: os.remove(self._filename_local) except Exception: # pragma: no cover pass self._filename_local = None # Handle bytes that we collected if bytes is not None: if self._uri_type == URI_BYTES: self._result = bytes # Picked up by imread function elif self._uri_type == URI_ZIPPED: zf = zipfile.ZipFile(self._filename_zip[0], 'a') zf.writestr(self._filename_zip[1], bytes) zf.close() # Detach so gc can clean even if a reference of self lingers self._bytes = None def get_result(self): """ For internal use. In some situations a write action can have a result (bytes data). That is obtained with this function. """ self._result, res = None, self._result return res @property def firstbytes(self): """ The first 256 bytes of the file. These can be used to parse the header to determine the file-format. """ if self._firstbytes is None: self._read_first_bytes() return self._firstbytes def _read_first_bytes(self, N=256): if self._bytes is not None: self._firstbytes = self._bytes[:N] else: # Prepare try: f = self.get_file() except IOError: if os.path.isdir(self.filename): # A directory, e.g. for DICOM self._firstbytes = binary_type() return raise try: i = f.tell() except Exception: i = None # Read self._firstbytes = read_n_bytes(f, N) # Set back try: if i is None: raise Exception('cannot seek with None') f.seek(i) except Exception: # Prevent get_file() from reusing the file self._file = None # If the given URI was a file object, we have a problem, if self._uri_type == URI_FILE: raise IOError('Cannot seek back after getting firstbytes!') def read_n_bytes(f, N): """ read_n_bytes(file, n) Read n bytes from the given file, or less if the file has less bytes. Returns zero bytes if the file is closed. """ bb = binary_type() while len(bb) < N: extra_bytes = f.read(N-len(bb)) if not extra_bytes: break bb += extra_bytes return bb def fix_HTTPResponse(f): """This fixes up an HTTPResponse object so that it can tell(), and also seek() will work if its effectively a no-op. This allows tools like Pillow to use the file object. """ count = [0] def read(n=None): res = ori_read(n) count[0] += len(res) return res def tell(): return count[0] def seek(i, mode=0): if not (mode == 0 and i == count[0]): ori_seek(i, mode) def fail_seek(i, mode=0): raise RuntimeError('No seeking allowed!') # Note, there is currently no protection from wrapping an object more than # once, it will (probably) work though, because closures. ori_read = f.read ori_seek = f.seek if hasattr(f, 'seek') else fail_seek f.read = read f.tell = tell f.seek = seek imageio-2.1.2/imageio/core/__init__.py0000666000000000000000000000136013037664054016313 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # Distributed under the (new) BSD License. See LICENSE.txt for more info. """ This subpackage provides the core functionality of imageio (everything but the plugins). """ # flake8: noqa from .util import Image, Dict, asarray, image_as_uint, urlopen from .util import BaseProgressIndicator, StdoutProgressIndicator from .util import string_types, text_type, binary_type, IS_PYPY from .util import get_platform, appdata_dir, resource_dirs, has_module from .findlib import load_lib from .fetching import get_remote_file, InternetNotAllowedError, NeedDownloadError from .request import Request, read_n_bytes, RETURN_BYTES from .format import Format, FormatManager, CannotReadFrameError imageio-2.1.2/imageio/core/util.py0000666000000000000000000004423713022650722015532 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Various utilities for imageio """ from __future__ import absolute_import, print_function, division import re import os import sys import time import struct from warnings import warn import numpy as np IS_PYPY = '__pypy__' in sys.builtin_module_names THIS_DIR = os.path.abspath(os.path.dirname(__file__)) # Taken from six.py PY3 = sys.version_info[0] == 3 if PY3: string_types = str, text_type = str binary_type = bytes else: # pragma: no cover string_types = basestring, # noqa text_type = unicode # noqa binary_type = str def urlopen(*args, **kwargs): """ Compatibility function for the urlopen function. Raises an RuntimeError if urlopen could not be imported (which can occur in frozen applications. """ try: from urllib2 import urlopen except ImportError: try: from urllib.request import urlopen # Py3k except ImportError: raise RuntimeError('Could not import urlopen.') return urlopen(*args, **kwargs) def image_as_uint(im, bitdepth=None): """ Convert the given image to uint (default: uint8) If the dtype already matches the desired format, it is returned as-is. If the image is float, and all values are between 0 and 1, the values are multiplied by np.power(2.0, bitdepth). In all other situations, the values are scaled such that the minimum value becomes 0 and the maximum value becomes np.power(2.0, bitdepth)-1 (255 for 8-bit and 65535 for 16-bit). """ if not bitdepth: bitdepth = 8 if not isinstance(im, np.ndarray): raise ValueError('Image must be a numpy array') if bitdepth == 8: out_type = np.uint8 elif bitdepth == 16: out_type = np.uint16 else: raise ValueError('Bitdepth must be either 8 or 16') dtype_str = str(im.dtype) if ((im.dtype == np.uint8 and bitdepth == 8) or (im.dtype == np.uint16 and bitdepth == 16)): # Already the correct format? Return as-is return im if (dtype_str.startswith('float') and np.nanmin(im) >= 0 and np.nanmax(im) <= 1): warn('Lossy conversion from {0} to {1}, range [0, 1]'.format( dtype_str, out_type.__name__)) im = im.astype(np.float64) * (np.power(2.0, bitdepth)-1) elif im.dtype == np.uint16 and bitdepth == 8: warn('Lossy conversion from uint16 to uint8, ' 'loosing 8 bits of resolution') im = np.right_shift(im, 8) elif im.dtype == np.uint32: warn('Lossy conversion from uint32 to {0}, ' 'loosing {1} bits of resolution'.format(out_type.__name__, 32-bitdepth)) im = np.right_shift(im, 32-bitdepth) elif im.dtype == np.uint64: warn('Lossy conversion from uint64 to {0}, ' 'loosing {1} bits of resolution'.format(out_type.__name__, 64-bitdepth)) im = np.right_shift(im, 64-bitdepth) else: mi = np.nanmin(im) ma = np.nanmax(im) if not np.isfinite(mi): raise ValueError('Minimum image value is not finite') if not np.isfinite(ma): raise ValueError('Maximum image value is not finite') if ma == mi: raise ValueError('Max value == min value, ambiguous given dtype') warn('Conversion from {0} to {1}, ' 'range [{2}, {3}]'.format(dtype_str, out_type.__name__, mi, ma)) # Now make float copy before we scale im = im.astype('float64') # Scale the values between 0 and 1 then multiply by the max value im = (im - mi) / (ma - mi) * (np.power(2.0, bitdepth)-1) assert np.nanmin(im) >= 0 assert np.nanmax(im) < np.power(2.0, bitdepth) return im.astype(out_type) # currently not used ... the only use it to easily provide the global meta info class ImageList(list): def __init__(self, meta=None): list.__init__(self) # Check if not (meta is None or isinstance(meta, dict)): raise ValueError('ImageList expects meta data to be a dict.') # Convert and return self._meta = meta if meta is not None else {} @property def meta(self): """ The dict with the meta data of this image. """ return self._meta class Image(np.ndarray): """ Image(array, meta=None) A subclass of np.ndarray that has a meta attribute. Following scikit-image, we leave this as a normal numpy array as much as we can. """ def __new__(cls, array, meta=None): # Check if not isinstance(array, np.ndarray): raise ValueError('Image expects a numpy array.') if not (meta is None or isinstance(meta, dict)): raise ValueError('Image expects meta data to be a dict.') # Convert and return meta = meta if meta is not None else {} try: ob = array.view(cls) except AttributeError: # pragma: no cover # Just return the original; no metadata on the array in Pypy! return array ob._copy_meta(meta) return ob def _copy_meta(self, meta): """ Make a 2-level deep copy of the meta dictionary. """ self._meta = Dict() for key, val in meta.items(): if isinstance(val, dict): val = Dict(val) # Copy this level self._meta[key] = val @property def meta(self): """ The dict with the meta data of this image. """ return self._meta def __array_finalize__(self, ob): """ So the meta info is maintained when doing calculations with the array. """ if isinstance(ob, Image): self._copy_meta(ob.meta) else: self._copy_meta({}) def __array_wrap__(self, out, context=None): """ So that we return a native numpy array (or scalar) when a reducting ufunc is applied (such as sum(), std(), etc.) """ if not out.shape: return out.dtype.type(out) # Scalar elif out.shape != self.shape: return out.view(type=np.ndarray) else: return out # Type Image def asarray(a): """ Pypy-safe version of np.asarray. Pypy's np.asarray consumes a *lot* of memory if the given array is an ndarray subclass. This function does not. """ if isinstance(a, np.ndarray): if IS_PYPY: # pragma: no cover a = a.copy() # pypy has issues with base views plain = a.view(type=np.ndarray) return plain return np.asarray(a) try: from collections import OrderedDict as _dict except ImportError: _dict = dict class Dict(_dict): """ A dict in which the keys can be get and set as if they were attributes. Very convenient in combination with autocompletion. This Dict still behaves as much as possible as a normal dict, and keys can be anything that are otherwise valid keys. However, keys that are not valid identifiers or that are names of the dict class (such as 'items' and 'copy') cannot be get/set as attributes. """ __reserved_names__ = dir(_dict()) # Also from OrderedDict __pure_names__ = dir(dict()) def __getattribute__(self, key): try: return object.__getattribute__(self, key) except AttributeError: if key in self: return self[key] else: raise def __setattr__(self, key, val): if key in Dict.__reserved_names__: # Either let OrderedDict do its work, or disallow if key not in Dict.__pure_names__: return _dict.__setattr__(self, key, val) else: raise AttributeError('Reserved name, this key can only ' + 'be set via ``d[%r] = X``' % key) else: # if isinstance(val, dict): val = Dict(val) -> no, makes a copy! self[key] = val def __dir__(self): isidentifier = lambda x: bool(re.match(r'[a-z_]\w*$', x, re.I)) names = [k for k in self.keys() if (isinstance(k, string_types) and isidentifier(k))] return Dict.__reserved_names__ + names class BaseProgressIndicator(object): """ BaseProgressIndicator(name) A progress indicator helps display the progres of a task to the user. Progress can be pending, running, finished or failed. Each task has: * a name - a short description of what needs to be done. * an action - the current action in performing the task (e.g. a subtask) * progress - how far the task is completed * max - max number of progress units. If 0, the progress is indefinite * unit - the units in which the progress is counted * status - 0: pending, 1: in progress, 2: finished, 3: failed This class defines an abstract interface. Subclasses should implement _start, _stop, _update_progress(progressText), _write(message). """ def __init__(self, name): self._name = name self._action = '' self._unit = '' self._max = 0 self._status = 0 self._last_progress_update = 0 def start(self, action='', unit='', max=0): """ start(action='', unit='', max=0) Start the progress. Optionally specify an action, a unit, and a maxium progress value. """ if self._status == 1: self.finish() self._action = action self._unit = unit self._max = max # self._progress = 0 self._status = 1 self._start() def status(self): """ status() Get the status of the progress - 0: pending, 1: in progress, 2: finished, 3: failed """ return self._status def set_progress(self, progress=0, force=False): """ set_progress(progress=0, force=False) Set the current progress. To avoid unnecessary progress updates this will only have a visual effect if the time since the last update is > 0.1 seconds, or if force is True. """ self._progress = progress # Update or not? if not (force or (time.time() - self._last_progress_update > 0.1)): return self._last_progress_update = time.time() # Compose new string unit = self._unit or '' progressText = '' if unit == '%': progressText = '%2.1f%%' % progress elif self._max > 0: percent = 100 * float(progress) / self._max progressText = '%i/%i %s (%2.1f%%)' % (progress, self._max, unit, percent) elif progress > 0: if isinstance(progress, float): progressText = '%0.4g %s' % (progress, unit) else: progressText = '%i %s' % (progress, unit) # Update self._update_progress(progressText) def increase_progress(self, extra_progress): """ increase_progress(extra_progress) Increase the progress by a certain amount. """ self.set_progress(self._progress + extra_progress) def finish(self, message=None): """ finish(message=None) Finish the progress, optionally specifying a message. This will not set the progress to the maximum. """ self.set_progress(self._progress, True) # fore update self._status = 2 self._stop() if message is not None: self._write(message) def fail(self, message=None): """ fail(message=None) Stop the progress with a failure, optionally specifying a message. """ self.set_progress(self._progress, True) # fore update self._status = 3 self._stop() message = 'FAIL ' + (message or '') self._write(message) def write(self, message): """ write(message) Write a message during progress (such as a warning). """ if self.__class__ == BaseProgressIndicator: # When this class is used as a dummy, print explicit message print(message) else: return self._write(message) # Implementing classes should implement these def _start(self): pass def _stop(self): pass def _update_progress(self, progressText): pass def _write(self, message): pass class StdoutProgressIndicator(BaseProgressIndicator): """ StdoutProgressIndicator(name) A progress indicator that shows the progress in stdout. It assumes that the tty can appropriately deal with backspace characters. """ def _start(self): self._chars_prefix, self._chars = '', '' # Write message if self._action: self._chars_prefix = '%s (%s): ' % (self._name, self._action) else: self._chars_prefix = '%s: ' % self._name sys.stdout.write(self._chars_prefix) sys.stdout.flush() def _update_progress(self, progressText): # If progress is unknown, at least make something move if not progressText: i1, i2, i3, i4 = '-\\|/' M = {i1: i2, i2: i3, i3: i4, i4: i1} progressText = M.get(self._chars, i1) # Store new string and write delChars = '\b'*len(self._chars) self._chars = progressText sys.stdout.write(delChars+self._chars) sys.stdout.flush() def _stop(self): self._chars = self._chars_prefix = '' sys.stdout.write('\n') sys.stdout.flush() def _write(self, message): # Write message delChars = '\b'*len(self._chars_prefix+self._chars) sys.stdout.write(delChars+' '+message+'\n') # Reprint progress text sys.stdout.write(self._chars_prefix+self._chars) sys.stdout.flush() # From pyzolib/paths.py (https://bitbucket.org/pyzo/pyzolib/src/tip/paths.py) def appdata_dir(appname=None, roaming=False): """ appdata_dir(appname=None, roaming=False) Get the path to the application directory, where applications are allowed to write user specific files (e.g. configurations). For non-user specific data, consider using common_appdata_dir(). If appname is given, a subdir is appended (and created if necessary). If roaming is True, will prefer a roaming directory (Windows Vista/7). """ # Define default user directory userDir = os.path.expanduser('~') if not os.path.isdir(userDir): # pragma: no cover userDir = '/var/tmp' # issue #54 # Get system app data dir path = None if sys.platform.startswith('win'): path1, path2 = os.getenv('LOCALAPPDATA'), os.getenv('APPDATA') path = (path2 or path1) if roaming else (path1 or path2) elif sys.platform.startswith('darwin'): path = os.path.join(userDir, 'Library', 'Application Support') # On Linux and as fallback if not (path and os.path.isdir(path)): path = userDir # Maybe we should store things local to the executable (in case of a # portable distro or a frozen application that wants to be portable) prefix = sys.prefix if getattr(sys, 'frozen', None): prefix = os.path.abspath(os.path.dirname(sys.executable)) for reldir in ('settings', '../settings'): localpath = os.path.abspath(os.path.join(prefix, reldir)) if os.path.isdir(localpath): # pragma: no cover try: open(os.path.join(localpath, 'test.write'), 'wb').close() os.remove(os.path.join(localpath, 'test.write')) except IOError: pass # We cannot write in this directory else: path = localpath break # Get path specific for this app if appname: if path == userDir: appname = '.' + appname.lstrip('.') # Make it a hidden directory path = os.path.join(path, appname) if not os.path.isdir(path): # pragma: no cover os.mkdir(path) # Done return path def resource_dirs(): """ resource_dirs() Get a list of directories where imageio resources may be located. The first directory in this list is the "resources" directory in the package itself. The second directory is the appdata directory (~/.imageio on Linux). The list further contains the application directory (for frozen apps), and may include additional directories in the future. """ dirs = [] # Resource dir baked in the package dirs.append(os.path.abspath(os.path.join(THIS_DIR, '..', 'resources'))) # Appdata directory try: dirs.append(appdata_dir('imageio')) except Exception: # pragma: no cover pass # The home dir may not be writable # Directory where the app is located (mainly for frozen apps) if getattr(sys, 'frozen', None): dirs.append(os.path.abspath(os.path.dirname(sys.executable))) elif sys.path and sys.path[0]: dirs.append(os.path.abspath(sys.path[0])) return dirs def get_platform(): """ get_platform() Get a string that specifies the platform more specific than sys.platform does. The result can be: linux32, linux64, win32, win64, osx32, osx64. Other platforms may be added in the future. """ # Get platform if sys.platform.startswith('linux'): plat = 'linux%i' elif sys.platform.startswith('win'): plat = 'win%i' elif sys.platform.startswith('darwin'): plat = 'osx%i' else: # pragma: no cover return None return plat % (struct.calcsize('P') * 8) # 32 or 64 bits def has_module(module_name): """Check to see if a python module is available. """ if sys.version_info > (3, ): import importlib return importlib.find_loader(module_name) is not None else: # pragma: no cover import imp try: imp.find_module(module_name) except ImportError: return False return True imageio-2.1.2/imageio/core/functions.py0000666000000000000000000004161612744131504016565 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ These functions represent imageio's main interface for the user. They provide a common API to read and write image data for a large variety of formats. All read and write functions accept keyword arguments, which are passed on to the format that does the actual work. To see what keyword arguments are supported by a specific format, use the :func:`.help` function. Functions for reading: * :func:`.imread` - read an image from the specified uri * :func:`.mimread` - read a series of images from the specified uri * :func:`.volread` - read a volume from the specified uri * :func:`.mvolread` - read a series of volumes from the specified uri Functions for saving: * :func:`.imwrite` - write an image to the specified uri * :func:`.mimwrite` - write a series of images to the specified uri * :func:`.volwrite` - write a volume to the specified uri * :func:`.mvolwrite` - write a series of volumes to the specified uri More control: For a larger degree of control, imageio provides functions :func:`.get_reader` and :func:`.get_writer`. They respectively return an :class:`.Reader` and an :class:`.Writer` object, which can be used to read/write data and meta data in a more controlled manner. This also allows specific scientific formats to be exposed in a way that best suits that file-format. .. note:: Some of these functions were renamed in v1.1 to realize a more clear and consistent API. The old functions are still available for backward compatibility (and will be in the foreseeable future). """ from __future__ import absolute_import, print_function, division import numpy as np from . import Request, RETURN_BYTES from .. import formats def help(name=None): """ help(name=None) Print the documentation of the format specified by name, or a list of supported formats if name is omitted. Parameters ---------- name : str Can be the name of a format, a filename extension, or a full filename. See also the :doc:`formats page `. """ if not name: print(formats) else: print(formats[name]) ## Base functions that return a reader/writer def get_reader(uri, format=None, mode='?', **kwargs): """ get_reader(uri, format=None, mode='?', **kwargs) Returns a :class:`.Reader` object which can be used to read data and meta data from the specified file. Parameters ---------- uri : {str, bytes, file} The resource to load the image from. This can be a normal filename, a file in a zipfile, an http/ftp address, a file object, or the raw bytes. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. mode : {'i', 'I', 'v', 'V', '?'} Used to give the reader a hint on what the user expects (default "?"): "i" for an image, "I" for multiple images, "v" for a volume, "V" for multiple volumes, "?" for don't care. kwargs : ... Further keyword arguments are passed to the reader. See :func:`.help` to see what arguments are available for a particular format. """ # Create request object request = Request(uri, 'r' + mode, **kwargs) # Get format if format is not None: format = formats[format] else: format = formats.search_read_format(request) if format is None: raise ValueError('Could not find a format to read the specified file ' 'in mode %r' % mode) # Return its reader object return format.get_reader(request) def get_writer(uri, format=None, mode='?', **kwargs): """ get_writer(uri, format=None, mode='?', **kwargs) Returns a :class:`.Writer` object which can be used to write data and meta data to the specified file. Parameters ---------- uri : {str, file} The resource to write the image to. This can be a normal filename, a file in a zipfile, a file object, or ``imageio.RETURN_BYTES``, in which case the raw bytes are returned. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename. mode : {'i', 'I', 'v', 'V', '?'} Used to give the writer a hint on what the user expects (default '?'): "i" for an image, "I" for multiple images, "v" for a volume, "V" for multiple volumes, "?" for don't care. kwargs : ... Further keyword arguments are passed to the writer. See :func:`.help` to see what arguments are available for a particular format. """ # Signal extension when returning as bytes, needed by e.g. ffmpeg if uri == RETURN_BYTES and isinstance(format, str): uri = RETURN_BYTES + '.' + format.strip('. ') # Create request object request = Request(uri, 'w' + mode, **kwargs) # Get format if format is not None: format = formats[format] else: format = formats.search_write_format(request) if format is None: raise ValueError('Could not find a format to write the specified file ' 'in mode %r' % mode) # Return its writer object return format.get_writer(request) ## Images def imread(uri, format=None, **kwargs): """ imread(uri, format=None, **kwargs) Reads an image from the specified file. Returns a numpy array, which comes with a dict of meta data at its 'meta' attribute. Note that the image data is returned as-is, and may not always have a dtype of uint8 (and thus may differ from what e.g. PIL returns). Parameters ---------- uri : {str, bytes, file} The resource to load the image from. This can be a normal filename, a file in a zipfile, an http/ftp address, a file object, or the raw bytes. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the reader. See :func:`.help` to see what arguments are available for a particular format. """ # Get reader and read first reader = read(uri, format, 'i', **kwargs) with reader: return reader.get_data(0) def imwrite(uri, im, format=None, **kwargs): """ imwrite(uri, im, format=None, **kwargs) Write an image to the specified file. Parameters ---------- uri : {str, file} The resource to write the image to. This can be a normal filename, a file in a zipfile, a file object, or ``imageio.RETURN_BYTES``, in which case the raw bytes are returned. im : numpy.ndarray The image data. Must be NxM, NxMx3 or NxMx4. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the writer. See :func:`.help` to see what arguments are available for a particular format. """ # Test image if isinstance(im, np.ndarray): if im.ndim == 2: pass elif im.ndim == 3 and im.shape[2] in [1, 3, 4]: pass else: raise ValueError('Image must be 2D (grayscale, RGB, or RGBA).') else: raise ValueError('Image must be a numpy array.') # Get writer and write first writer = get_writer(uri, format, 'i', **kwargs) with writer: writer.append_data(im) # Return a result if there is any return writer.request.get_result() ## Multiple images def mimread(uri, format=None, memtest=True, **kwargs): """ mimread(uri, format=None, memtest=True, **kwargs) Reads multiple images from the specified file. Returns a list of numpy arrays, each with a dict of meta data at its 'meta' attribute. Parameters ---------- uri : {str, bytes, file} The resource to load the images from. This can be a normal filename, a file in a zipfile, an http/ftp address, a file object, or the raw bytes. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. memtest : bool If True (default), this function will raise an error if the resulting list of images consumes over 256 MB of memory. This is to protect the system using so much memory that it needs to resort to swapping, and thereby stall the computer. E.g. ``mimread('hunger_games.avi')``. kwargs : ... Further keyword arguments are passed to the reader. See :func:`.help` to see what arguments are available for a particular format. """ # Get reader reader = read(uri, format, 'I', **kwargs) # Read ims = [] nbytes = 0 for im in reader: ims.append(im) # Memory check nbytes += im.nbytes if memtest and nbytes > 256 * 1024 * 1024: ims[:] = [] # clear to free the memory raise RuntimeError('imageio.mimread() has read over 256 MiB of ' 'image data.\nStopped to avoid memory problems.' ' Use imageio.get_reader() or memtest=False.') return ims def mimwrite(uri, ims, format=None, **kwargs): """ mimwrite(uri, ims, format=None, **kwargs) Write multiple images to the specified file. Parameters ---------- uri : {str, file} The resource to write the images to. This can be a normal filename, a file in a zipfile, a file object, or ``imageio.RETURN_BYTES``, in which case the raw bytes are returned. ims : sequence of numpy arrays The image data. Each array must be NxM, NxMx3 or NxMx4. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the writer. See :func:`.help` to see what arguments are available for a particular format. """ # Get writer writer = get_writer(uri, format, 'I', **kwargs) with writer: # Iterate over images (ims may be a generator) for im in ims: # Test image if isinstance(im, np.ndarray): if im.ndim == 2: pass elif im.ndim == 3 and im.shape[2] in [1, 3, 4]: pass else: raise ValueError('Image must be 2D ' '(grayscale, RGB, or RGBA).') else: raise ValueError('Image must be a numpy array.') # Add image writer.append_data(im) # Return a result if there is any return writer.request.get_result() ## Volumes def volread(uri, format=None, **kwargs): """ volread(uri, format=None, **kwargs) Reads a volume from the specified file. Returns a numpy array, which comes with a dict of meta data at its 'meta' attribute. Parameters ---------- uri : {str, bytes, file} The resource to load the volume from. This can be a normal filename, a file in a zipfile, an http/ftp address, a file object, or the raw bytes. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the reader. See :func:`.help` to see what arguments are available for a particular format. """ # Get reader and read first reader = read(uri, format, 'v', **kwargs) with reader: return reader.get_data(0) def volwrite(uri, im, format=None, **kwargs): """ volwrite(uri, vol, format=None, **kwargs) Write a volume to the specified file. Parameters ---------- uri : {str, file} The resource to write the image to. This can be a normal filename, a file in a zipfile, a file object, or ``imageio.RETURN_BYTES``, in which case the raw bytes are returned. vol : numpy.ndarray The image data. Must be NxMxL (or NxMxLxK if each voxel is a tuple). format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the writer. See :func:`.help` to see what arguments are available for a particular format. """ # Test image if isinstance(im, np.ndarray): if im.ndim == 3: pass elif im.ndim == 4 and im.shape[3] < 32: # How large can a tuple be? pass else: raise ValueError('Image must be 3D, or 4D if each voxel is ' 'a tuple.') else: raise ValueError('Image must be a numpy array.') # Get writer and write first writer = get_writer(uri, format, 'v', **kwargs) with writer: writer.append_data(im) # Return a result if there is any return writer.request.get_result() ## Multiple volumes def mvolread(uri, format=None, memtest=True, **kwargs): """ mvolread(uri, format=None, memtest=True, **kwargs) Reads multiple volumes from the specified file. Returns a list of numpy arrays, each with a dict of meta data at its 'meta' attribute. Parameters ---------- uri : {str, bytes, file} The resource to load the volumes from. This can be a normal filename, a file in a zipfile, an http/ftp address, a file object, or the raw bytes. format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. memtest : bool If True (default), this function will raise an error if the resulting list of images consumes over 1 GB of memory. This is to protect the system using so much memory that it needs to resort to swapping, and thereby stall the computer. E.g. ``mimread('hunger_games.avi')``. kwargs : ... Further keyword arguments are passed to the reader. See :func:`.help` to see what arguments are available for a particular format. """ # Get reader and read all reader = read(uri, format, 'V', **kwargs) ims = [] nbytes = 0 for im in reader: ims.append(im) # Memory check nbytes += im.nbytes if memtest and nbytes > 1024 * 1024 * 1024: # pragma: no cover ims[:] = [] # clear to free the memory raise RuntimeError('imageio.mvolread() has read over 1 GiB of ' 'image data.\nStopped to avoid memory problems.' ' Use imageio.get_reader() or memtest=False.') return ims def mvolwrite(uri, ims, format=None, **kwargs): """ mvolwrite(uri, vols, format=None, **kwargs) Write multiple volumes to the specified file. Parameters ---------- uri : {str, file} The resource to write the volumes to. This can be a normal filename, a file in a zipfile, a file object, or ``imageio.RETURN_BYTES``, in which case the raw bytes are returned. ims : sequence of numpy arrays The image data. Each array must be NxMxL (or NxMxLxK if each voxel is a tuple). format : str The format to use to read the file. By default imageio selects the appropriate for you based on the filename and its contents. kwargs : ... Further keyword arguments are passed to the writer. See :func:`.help` to see what arguments are available for a particular format. """ # Get writer writer = get_writer(uri, format, 'V', **kwargs) with writer: # Iterate over images (ims may be a generator) for im in ims: # Test image if isinstance(im, np.ndarray): if im.ndim == 3: pass elif im.ndim == 4 and im.shape[3] < 32: pass # How large can a tuple be? else: raise ValueError('Image must be 3D, or 4D if each voxel is' 'a tuple.') else: raise ValueError('Image must be a numpy array.') # Add image writer.append_data(im) # Return a result if there is any return writer.request.get_result() ## Aliases read = get_reader save = get_writer imsave = imwrite mimsave = mimwrite volsave = volwrite mvolsave = mvolwrite imageio-2.1.2/imageio/core/fetching.py0000666000000000000000000002121213023014720016321 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # Based on code from the vispy project # Distributed under the (new) BSD License. See LICENSE.txt for more info. """Data downloading and reading functions """ from __future__ import absolute_import, print_function, division from math import log import os from os import path as op import sys import shutil import time from . import appdata_dir, resource_dirs from . import StdoutProgressIndicator, string_types, urlopen class InternetNotAllowedError(IOError): """ Plugins that need resources can just use get_remote_file(), but should catch this error and silently ignore it. """ pass class NeedDownloadError(IOError): """ Is raised when a remote file is requested that is not locally available, but which needs to be explicitly downloaded by the user. """ def get_remote_file(fname, directory=None, force_download=False, auto=True): """ Get a the filename for the local version of a file from the web Parameters ---------- fname : str The relative filename on the remote data repository to download. These correspond to paths on ``https://github.com/imageio/imageio-binaries/``. directory : str | None The directory where the file will be cached if a download was required to obtain the file. By default, the appdata directory is used. This is also the first directory that is checked for a local version of the file. force_download : bool | str If True, the file will be downloaded even if a local copy exists (and this copy will be overwritten). Can also be a YYYY-MM-DD date to ensure a file is up-to-date (modified date of a file on disk, if present, is checked). auto : bool Whether to auto-download the file if its not present locally. Default True. If False and a download is needed, raises NeedDownloadError. Returns ------- fname : str The path to the file on the local system. """ _url_root = 'https://github.com/imageio/imageio-binaries/raw/master/' url = _url_root + fname nfname = op.normcase(fname) # convert to native # Get dirs to look for the resource given_directory = directory directory = given_directory or appdata_dir('imageio') dirs = resource_dirs() dirs.insert(0, directory) # Given dir has preference # Try to find the resource locally for dir in dirs: filename = op.join(dir, nfname) if op.isfile(filename): if not force_download: # we're done if given_directory and given_directory != dir: filename2 = os.path.join(given_directory, nfname) shutil.copy(filename, filename2) return filename2 return filename if isinstance(force_download, string_types): ntime = time.strptime(force_download, '%Y-%m-%d') ftime = time.gmtime(op.getctime(filename)) if ftime >= ntime: if given_directory and given_directory != dir: filename2 = os.path.join(given_directory, nfname) shutil.copy(filename, filename2) return filename2 return filename else: print('File older than %s, updating...' % force_download) break # If we get here, we're going to try to download the file if os.getenv('IMAGEIO_NO_INTERNET', '').lower() in ('1', 'true', 'yes'): raise InternetNotAllowedError('Will not download resource from the ' 'internet because enironment variable ' 'IMAGEIO_NO_INTERNET is set.') # Can we proceed with auto-download? if not auto: raise NeedDownloadError() # Get filename to store to and make sure the dir exists filename = op.join(directory, nfname) if not op.isdir(op.dirname(filename)): os.makedirs(op.abspath(op.dirname(filename))) # let's go get the file if os.getenv('CONTINUOUS_INTEGRATION', False): # pragma: no cover # On Travis, we retry a few times ... for i in range(2): try: _fetch_file(url, filename) return filename except IOError: time.sleep(0.5) else: _fetch_file(url, filename) return filename else: # pragma: no cover _fetch_file(url, filename) return filename def _fetch_file(url, file_name, print_destination=True): """Load requested file, downloading it if needed or requested Parameters ---------- url: string The url of file to be downloaded. file_name: string Name, along with the path, of where downloaded file will be saved. print_destination: bool, optional If true, destination of where file was saved will be printed after download finishes. resume: bool, optional If true, try to resume partially downloaded files. """ # Adapted from NISL: # https://github.com/nisl/tutorial/blob/master/nisl/datasets.py print('Imageio: %r was not found on your computer; ' 'downloading it now.' % os.path.basename(file_name)) temp_file_name = file_name + ".part" local_file = None initial_size = 0 errors = [] for tries in range(4): try: # Checking file size and displaying it alongside the download url remote_file = urlopen(url, timeout=5.) file_size = int(remote_file.headers['Content-Length'].strip()) size_str = _sizeof_fmt(file_size) print('Try %i. Download from %s (%s)' % (tries+1, url, size_str)) # Downloading data (can be extended to resume if need be) local_file = open(temp_file_name, "wb") _chunk_read(remote_file, local_file, initial_size=initial_size) # temp file must be closed prior to the move if not local_file.closed: local_file.close() shutil.move(temp_file_name, file_name) if print_destination is True: sys.stdout.write('File saved as %s.\n' % file_name) break except Exception as e: errors.append(e) print('Error while fetching file: %s.' % str(e)) finally: if local_file is not None: if not local_file.closed: local_file.close() else: raise IOError('Unable to download %r. Perhaps there is a no internet ' 'connection? If there is, please report this problem.' % os.path.basename(file_name)) def _chunk_read(response, local_file, chunk_size=8192, initial_size=0): """Download a file chunk by chunk and show advancement Can also be used when resuming downloads over http. Parameters ---------- response: urllib.response.addinfourl Response to the download request in order to get file size. local_file: file Hard disk file where data should be written. chunk_size: integer, optional Size of downloaded chunks. Default: 8192 initial_size: int, optional If resuming, indicate the initial size of the file. 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Rjs      # J&  Zj^ͻ,3.                 !!9  "-!&      ź  &&  %   $->D  @12  &ɼ.-   /97!&(                -!B #3.(      (   )3,  ".06  5   .D- IDAT620#         "%2      '&236M&" ѻ% *''6:C-    & 0-  # ƻ   &     %$!        # 97=B43J&# ;Ʒ    ˴   $+%&,+ 9  +2       Ƽ  !               $:BALJTb + ù          *(              #*    "!$            ""!@<8DOag5?*         ""$-5% [8$   !            ,/,1     $  #(B36=P_k-5( &lv¸         7K)- N +      ' )+#           HJ;     $  +           (+K010JWb-6+*[m IDAT      qJǽT:&           5!-' 0    ))   EB?#') !  >>F            !C(**`_ :Organization: Laboratory for Fluorescence Dynamics, University of California, Irvine :Version: 2016.04.18 Requirements ------------ * `CPython 2.7 or 3.5 `_ (64 bit recommended) * `Numpy 1.10 `_ * `Matplotlib 1.5 `_ (optional for plotting) * `Tifffile.c 2016.04.13 `_ (recommended for faster decoding of PackBits and LZW encoded strings) Revisions --------- 2016.04.18 Pass 1932 tests. TiffWriter, imread, and imsave accept open binary file streams. 2016.04.13 Correctly handle reversed fill order in 2 and 4 bps images (bug fix). Implement reverse_bitorder in C. 2016.03.18 Fixed saving additional ImageJ metadata. 2016.02.22 Pass 1920 tests. Write 8 bytes double tag values using offset if necessary (bug fix). Add option to disable writing second image description tag. Detect tags with incorrect counts. Disable color mapping for LSM. 2015.11.13 Read LSM 6 mosaics. Add option to specify directory of memory-mapped files. Add command line options to specify vmin and vmax values for colormapping. 2015.10.06 New helper function to apply colormaps. Renamed is_palette attributes to is_indexed (backwards incompatible). Color-mapped samples are now contiguous (backwards incompatible). Do not color-map ImageJ hyperstacks (backwards incompatible). Towards supporting Leica SCN. 2015.09.25 Read images with reversed bit order (fill_order is lsb2msb). 2015.09.21 Read RGB OME-TIFF. Warn about malformed OME-XML. 2015.09.16 Detect some corrupted ImageJ metadata. Better axes labels for 'shaped' files. Do not create TiffTags for default values. Chroma subsampling is not supported. Memory-map data in TiffPageSeries if possible (optional). 2015.08.17 Pass 1906 tests. Write ImageJ hyperstacks (optional). Read and write LZMA compressed data. Specify datetime when saving (optional). Save tiled and color-mapped images (optional). Ignore void byte_counts and offsets if possible. Ignore bogus image_depth tag created by ISS Vista software. Decode floating point horizontal differencing (not tiled). Save image data contiguously if possible. Only read first IFD from ImageJ files if possible. Read ImageJ 'raw' format (files larger than 4 GB). TiffPageSeries class for pages with compatible shape and data type. Try to read incomplete tiles. Open file dialog if no filename is passed on command line. Ignore errors when decoding OME-XML. Rename decoder functions (backwards incompatible) 2014.08.24 TiffWriter class for incremental writing images. Simplified examples. 2014.08.19 Add memmap function to FileHandle. Add function to determine if image data in TiffPage is memory-mappable. Do not close files if multifile_close parameter is False. 2014.08.10 Pass 1730 tests. Return all extrasamples by default (backwards incompatible). Read data from series of pages into memory-mapped array (optional). Squeeze OME dimensions (backwards incompatible). Workaround missing EOI code in strips. Support image and tile depth tags (SGI extension). Better handling of STK/UIC tags (backwards incompatible). Disable color mapping for STK. Julian to datetime converter. TIFF ASCII type may be NULL separated. Unwrap strip offsets for LSM files greater than 4 GB. Correct strip byte counts in compressed LSM files. Skip missing files in OME series. Read embedded TIFF files. 2014.02.05 Save rational numbers as type 5 (bug fix). 2013.12.20 Keep other files in OME multi-file series closed. FileHandle class to abstract binary file handle. Disable color mapping for bad OME-TIFF produced by bio-formats. Read bad OME-XML produced by ImageJ when cropping. 2013.11.03 Allow zlib compress data in imsave function (optional). Memory-map contiguous image data (optional). 2013.10.28 Read MicroManager metadata and little endian ImageJ tag. Save extra tags in imsave function. Save tags in ascending order by code (bug fix). 2012.10.18 Accept file like objects (read from OIB files). 2012.08.21 Rename TIFFfile to TiffFile and TIFFpage to TiffPage. TiffSequence class for reading sequence of TIFF files. Read UltraQuant tags. Allow float numbers as resolution in imsave function. 2012.08.03 Read MD GEL tags and NIH Image header. 2012.07.25 Read ImageJ tags. ... Notes ----- The API is not stable yet and might change between revisions. Tested on little-endian platforms only. Other Python packages and modules for reading bio-scientific TIFF files: * `Imread `_ * `PyLibTiff `_ * `SimpleITK `_ * `PyLSM `_ * `PyMca.TiffIO.py `_ (same as fabio.TiffIO) * `BioImageXD.Readers `_ * `Cellcognition.io `_ * `CellProfiler.bioformats `_ Acknowledgements ---------------- * Egor Zindy, University of Manchester, for cz_lsm_scan_info specifics. * Wim Lewis for a bug fix and some read_cz_lsm functions. * Hadrien Mary for help on reading MicroManager files. * Christian Kliche for help writing tiled and color-mapped files. References ---------- (1) TIFF 6.0 Specification and Supplements. Adobe Systems Incorporated. http://partners.adobe.com/public/developer/tiff/ (2) TIFF File Format FAQ. http://www.awaresystems.be/imaging/tiff/faq.html (3) MetaMorph Stack (STK) Image File Format. http://support.meta.moleculardevices.com/docs/t10243.pdf (4) Image File Format Description LSM 5/7 Release 6.0 (ZEN 2010). Carl Zeiss MicroImaging GmbH. BioSciences. May 10, 2011 (5) File Format Description - LSM 5xx Release 2.0. http://ibb.gsf.de/homepage/karsten.rodenacker/IDL/Lsmfile.doc (6) The OME-TIFF format. http://www.openmicroscopy.org/site/support/file-formats/ome-tiff (7) UltraQuant(r) Version 6.0 for Windows Start-Up Guide. http://www.ultralum.com/images%20ultralum/pdf/UQStart%20Up%20Guide.pdf (8) Micro-Manager File Formats. http://www.micro-manager.org/wiki/Micro-Manager_File_Formats (9) Tags for TIFF and Related Specifications. Digital Preservation. http://www.digitalpreservation.gov/formats/content/tiff_tags.shtml Examples -------- >>> data = numpy.random.rand(5, 301, 219) >>> imsave('temp.tif', data) >>> image = imread('temp.tif') >>> numpy.testing.assert_array_equal(image, data) >>> with TiffFile('temp.tif') as tif: ... images = tif.asarray() ... for page in tif: ... for tag in page.tags.values(): ... t = tag.name, tag.value ... image = page.asarray() """ from __future__ import division, print_function import sys import os import re import glob import math import zlib import time import json import struct import warnings import tempfile import datetime import collections from fractions import Fraction from xml.etree import cElementTree as etree import numpy try: import lzma except ImportError: try: import backports.lzma as lzma except ImportError: lzma = None try: if __package__: from . import _tifffile # noqa else: import _tifffile # noqa except ImportError: warnings.warn( "failed to import the optional _tifffile C extension module.\n" "Loading of some compressed images will be very slow.\n" "Tifffile.c can be obtained at http://www.lfd.uci.edu/~gohlke/") __version__ = '2016.04.18' __docformat__ = 'restructuredtext en' __all__ = ( 'imsave', 'imread', 'imshow', 'TiffFile', 'TiffWriter', 'TiffSequence', # utility functions used in oiffile and czifile 'FileHandle', 'lazyattr', 'natural_sorted', 'decode_lzw', 'stripnull') def imsave(file, data, **kwargs): """Write image data to TIFF file. Refer to the TiffWriter class and member functions for documentation. Parameters ---------- file : str or binary stream File name or writable binary stream, such as a open file or BytesIO. data : array_like Input image. The last dimensions are assumed to be image depth, height, width, and samples. kwargs : dict Parameters 'byteorder', 'bigtiff', 'software', and 'imagej', are passed to the TiffWriter class. Parameters 'photometric', 'planarconfig', 'resolution', 'compress', 'colormap', 'tile', 'description', 'datetime', 'metadata', 'contiguous' and 'extratags' are passed to the TiffWriter.save function. Examples -------- >>> data = numpy.random.rand(2, 5, 3, 301, 219) >>> imsave('temp.tif', data, compress=6, metadata={'axes': 'TZCYX'}) """ tifargs = {} for key in ('byteorder', 'bigtiff', 'software', 'imagej'): if key in kwargs: tifargs[key] = kwargs[key] del kwargs[key] if 'bigtiff' not in tifargs and 'imagej' not in tifargs and ( data.size*data.dtype.itemsize > 2000*2**20): tifargs['bigtiff'] = True with TiffWriter(file, **tifargs) as tif: tif.save(data, **kwargs) class TiffWriter(object): """Write image data to TIFF file. TiffWriter instances must be closed using the 'close' method, which is automatically called when using the 'with' statement. Examples -------- >>> data = numpy.random.rand(2, 5, 3, 301, 219) >>> with TiffWriter('temp.tif', bigtiff=True) as tif: ... for i in range(data.shape[0]): ... tif.save(data[i], compress=6) """ TYPES = {'B': 1, 's': 2, 'H': 3, 'I': 4, '2I': 5, 'b': 6, 'h': 8, 'i': 9, 'f': 11, 'd': 12, 'Q': 16, 'q': 17} TAGS = { 'new_subfile_type': 254, 'subfile_type': 255, 'image_width': 256, 'image_length': 257, 'bits_per_sample': 258, 'compression': 259, 'photometric': 262, 'document_name': 269, 'image_description': 270, 'strip_offsets': 273, 'orientation': 274, 'samples_per_pixel': 277, 'rows_per_strip': 278, 'strip_byte_counts': 279, 'x_resolution': 282, 'y_resolution': 283, 'planar_configuration': 284, 'page_name': 285, 'resolution_unit': 296, 'software': 305, 'datetime': 306, 'predictor': 317, 'color_map': 320, 'tile_width': 322, 'tile_length': 323, 'tile_offsets': 324, 'tile_byte_counts': 325, 'extra_samples': 338, 'sample_format': 339, 'smin_sample_value': 340, 'smax_sample_value': 341, 'image_depth': 32997, 'tile_depth': 32998} def __init__(self, file, bigtiff=False, byteorder=None, software='tifffile.py', imagej=False): """Open a TIFF file for writing. Use bigtiff=True when creating files larger than 2 GB. Parameters ---------- file : str, binary stream, or FileHandle File name or writable binary stream, such as a open file or BytesIO. bigtiff : bool If True, the BigTIFF format is used. byteorder : {'<', '>'} The endianness of the data in the file. By default this is the system's native byte order. software : str Name of the software used to create the file. Saved with the first page in the file only. imagej : bool If True, write an ImageJ hyperstack compatible file. This format can handle data types uint8, uint16, or float32 and data shapes up to 6 dimensions in TZCYXS order. RGB images (S=3 or S=4) must be uint8. ImageJ's default byte order is big endian but this implementation uses the system's native byte order by default. ImageJ does not support BigTIFF format or LZMA compression. The ImageJ file format is undocumented. """ if byteorder not in (None, '<', '>'): raise ValueError("invalid byteorder %s" % byteorder) if byteorder is None: byteorder = '<' if sys.byteorder == 'little' else '>' if imagej and bigtiff: warnings.warn("writing incompatible bigtiff ImageJ") self._byteorder = byteorder self._software = software self._imagej = bool(imagej) self._metadata = None self._colormap = None self._description_offset = 0 self._description_len_offset = 0 self._description_len = 0 self._tags = None self._shape = None # normalized shape of data in consecutive pages self._data_shape = None # shape of data in consecutive pages self._data_dtype = None # data type self._data_offset = None # offset to data self._data_byte_counts = None # byte counts per plane self._tag_offsets = None # strip or tile offset tag code self._fh = FileHandle(file, mode='wb', size=0) self._fh.write({'<': b'II', '>': b'MM'}[byteorder]) if bigtiff: self._bigtiff = True self._offset_size = 8 self._tag_size = 20 self._numtag_format = 'Q' self._offset_format = 'Q' self._value_format = '8s' self._fh.write(struct.pack(byteorder+'HHH', 43, 8, 0)) else: self._bigtiff = False self._offset_size = 4 self._tag_size = 12 self._numtag_format = 'H' self._offset_format = 'I' self._value_format = '4s' self._fh.write(struct.pack(byteorder+'H', 42)) # first IFD self._ifd_offset = self._fh.tell() self._fh.write(struct.pack(byteorder+self._offset_format, 0)) def save(self, data, photometric=None, planarconfig=None, resolution=None, compress=0, colormap=None, tile=None, datetime=None, description=None, metadata={}, contiguous=True, extratags=()): """Write image data and tags to TIFF file. Image data are written in one stripe per plane by default. Dimensions larger than 2 to 4 (depending on photometric mode, planar configuration, and SGI mode) are flattened and saved as separate pages. The 'sample_format' and 'bits_per_sample' tags are derived from the data type. Parameters ---------- data : numpy.ndarray Input image. The last dimensions are assumed to be image depth, height (length), width, and samples. If a colormap is provided, the dtype must be uint8 or uint16 and the data values are indices into the last dimension of the colormap. photometric : {'minisblack', 'miniswhite', 'rgb', 'palette'} The color space of the image data. By default this setting is inferred from the data shape and the value of colormap. planarconfig : {'contig', 'planar'} Specifies if samples are stored contiguous or in separate planes. By default this setting is inferred from the data shape. 'contig': last dimension contains samples. 'planar': third last dimension contains samples. resolution : (float, float, [str]) or ((int, int), (int, int), [str]) X and Y resolution in dots per inch as float or rational numbers. The resolution unit defaults to 'inch' but can also be set to 'none' or 'cm'. compress : int or 'lzma' Values from 0 to 9 controlling the level of zlib compression. If 0, data are written uncompressed (default). Compression cannot be used to write contiguous files. If 'lzma', LZMA compression is used, which is not available on all platforms. colormap : numpy.ndarray RGB color values for the corresponding data value. Must be of shape (3, 2**(data.itemsize*8)) and dtype uint16. tile : tuple of int The shape (depth, length, width) of image tiles to write. If None (default), image data are written in one stripe per plane. The tile length and width must be a multiple of 16. If the tile depth is provided, the SGI image_depth and tile_depth tags are used to save volume data. Few software can read the SGI format, e.g. MeVisLab. datetime : datetime Date and time of image creation. Saved with the first page only. If None (default), the current date and time is used. description : str The subject of the image. Saved with the first page only. Cannot be used with the ImageJ format. metadata : dict Additional meta data to be saved along with shape information in JSON or ImageJ formats in an image_description tag. If None, do not write second image_description tag. contiguous : bool If True (default) and the data and parameters are compatible with previous ones, if any, the data are stored contiguously after the previous one. Parameters 'photometric' and 'planarconfig' are ignored. extratags : sequence of tuples Additional tags as [(code, dtype, count, value, writeonce)]. code : int The TIFF tag Id. dtype : str Data type of items in 'value' in Python struct format. One of B, s, H, I, 2I, b, h, i, f, d, Q, or q. count : int Number of data values. Not used for string values. value : sequence 'Count' values compatible with 'dtype'. writeonce : bool If True, the tag is written to the first page only. """ # TODO: refactor this function fh = self._fh byteorder = self._byteorder numtag_format = self._numtag_format value_format = self._value_format offset_format = self._offset_format offset_size = self._offset_size tag_size = self._tag_size data = numpy.asarray(data, dtype=byteorder+data.dtype.char, order='C') # just append contiguous data if possible if self._data_shape: if (not contiguous or self._data_shape[1:] != data.shape or self._data_dtype != data.dtype or (compress and self._tags) or tile or not numpy.array_equal(colormap, self._colormap)): # incompatible shape, dtype, compression mode, or colormap self._write_remaining_pages() self._write_image_description() self._description_offset = 0 self._description_len_offset = 0 self._data_shape = None self._colormap = None if self._imagej: raise ValueError( "ImageJ does not support non-contiguous data") else: # consecutive mode self._data_shape = (self._data_shape[0] + 1,) + data.shape if not compress: # write contiguous data, write ifds/tags later fh.write_array(data) return if photometric not in (None, 'minisblack', 'miniswhite', 'rgb', 'palette'): raise ValueError("invalid photometric %s" % photometric) if planarconfig not in (None, 'contig', 'planar'): raise ValueError("invalid planarconfig %s" % planarconfig) # prepare compression if not compress: compress = False compress_tag = 1 elif compress == 'lzma': compress = lzma.compress compress_tag = 34925 if self._imagej: raise ValueError("ImageJ can not handle LZMA compression") elif not 0 <= compress <= 9: raise ValueError("invalid compression level %s" % compress) elif compress: def compress(data, level=compress): return zlib.compress(data, level) compress_tag = 32946 # prepare ImageJ format if self._imagej: if description: warnings.warn("not writing description to ImageJ file") description = None volume = False if data.dtype.char not in 'BHhf': raise ValueError("ImageJ does not support data type '%s'" % data.dtype.char) ijrgb = photometric == 'rgb' if photometric else None if data.dtype.char not in 'B': ijrgb = False ijshape = imagej_shape(data.shape, ijrgb) if ijshape[-1] in (3, 4): photometric = 'rgb' if data.dtype.char not in 'B': raise ValueError("ImageJ does not support data type '%s' " "for RGB" % data.dtype.char) elif photometric is None: photometric = 'minisblack' planarconfig = None if planarconfig == 'planar': raise ValueError("ImageJ does not support planar images") else: planarconfig = 'contig' if ijrgb else None # verify colormap and indices if colormap is not None: if data.dtype.char not in 'BH': raise ValueError("invalid data dtype for palette mode") colormap = numpy.asarray(colormap, dtype=byteorder+'H') if colormap.shape != (3, 2**(data.itemsize * 8)): raise ValueError("invalid color map shape") self._colormap = colormap # verify tile shape if tile: tile = tuple(int(i) for i in tile[:3]) volume = len(tile) == 3 if (len(tile) < 2 or tile[-1] % 16 or tile[-2] % 16 or any(i < 1 for i in tile)): raise ValueError("invalid tile shape") else: tile = () volume = False # normalize data shape to 5D or 6D, depending on volume: # (pages, planar_samples, [depth,] height, width, contig_samples) data_shape = shape = data.shape data = numpy.atleast_2d(data) samplesperpixel = 1 extrasamples = 0 if volume and data.ndim < 3: volume = False if colormap is not None: photometric = 'palette' planarconfig = None if photometric is None: if planarconfig: photometric = 'rgb' elif data.ndim > 2 and shape[-1] in (3, 4): photometric = 'rgb' elif self._imagej: photometric = 'minisblack' elif volume and data.ndim > 3 and shape[-4] in (3, 4): photometric = 'rgb' elif data.ndim > 2 and shape[-3] in (3, 4): photometric = 'rgb' else: photometric = 'minisblack' if planarconfig and len(shape) <= (3 if volume else 2): planarconfig = None photometric = 'minisblack' if photometric == 'rgb': if len(shape) < 3: raise ValueError("not a RGB(A) image") if len(shape) < 4: volume = False if planarconfig is None: if shape[-1] in (3, 4): planarconfig = 'contig' elif shape[-4 if volume else -3] in (3, 4): planarconfig = 'planar' elif shape[-1] > shape[-4 if volume else -3]: planarconfig = 'planar' else: planarconfig = 'contig' if planarconfig == 'contig': data = data.reshape((-1, 1) + shape[(-4 if volume else -3):]) samplesperpixel = data.shape[-1] else: data = data.reshape( (-1,) + shape[(-4 if volume else -3):] + (1,)) samplesperpixel = data.shape[1] if samplesperpixel > 3: extrasamples = samplesperpixel - 3 elif planarconfig and len(shape) > (3 if volume else 2): if planarconfig == 'contig': data = data.reshape((-1, 1) + shape[(-4 if volume else -3):]) samplesperpixel = data.shape[-1] else: data = data.reshape( (-1,) + shape[(-4 if volume else -3):] + (1,)) samplesperpixel = data.shape[1] extrasamples = samplesperpixel - 1 else: planarconfig = None # remove trailing 1s while len(shape) > 2 and shape[-1] == 1: shape = shape[:-1] if len(shape) < 3: volume = False if False and ( photometric != 'palette' and len(shape) > (3 if volume else 2) and shape[-1] < 5 and all(shape[-1] < i for i in shape[(-4 if volume else -3):-1])): # DISABLED: non-standard TIFF, e.g. (220, 320, 2) planarconfig = 'contig' samplesperpixel = shape[-1] data = data.reshape((-1, 1) + shape[(-4 if volume else -3):]) else: data = data.reshape( (-1, 1) + shape[(-3 if volume else -2):] + (1,)) # normalize shape to 6D assert len(data.shape) in (5, 6) if len(data.shape) == 5: data = data.reshape(data.shape[:2] + (1,) + data.shape[2:]) shape = data.shape if tile and not volume: tile = (1, tile[-2], tile[-1]) if photometric == 'palette': if (samplesperpixel != 1 or extrasamples or shape[1] != 1 or shape[-1] != 1): raise ValueError("invalid data shape for palette mode") if samplesperpixel == 2: warnings.warn("writing non-standard TIFF (samplesperpixel 2)") bytestr = bytes if sys.version[0] == '2' else ( lambda x: bytes(x, 'utf-8') if isinstance(x, str) else x) tags = [] # list of (code, ifdentry, ifdvalue, writeonce) strip_or_tile = 'tile' if tile else 'strip' tag_byte_counts = TiffWriter.TAGS[strip_or_tile + '_byte_counts'] tag_offsets = TiffWriter.TAGS[strip_or_tile + '_offsets'] self._tag_offsets = tag_offsets def pack(fmt, *val): return struct.pack(byteorder+fmt, *val) def addtag(code, dtype, count, value, writeonce=False): # Compute ifdentry & ifdvalue bytes from code, dtype, count, value # Append (code, ifdentry, ifdvalue, writeonce) to tags list code = int(TiffWriter.TAGS.get(code, code)) try: tifftype = TiffWriter.TYPES[dtype] except KeyError: raise ValueError("unknown dtype %s" % dtype) rawcount = count if dtype == 's': value = bytestr(value) + b'\0' count = rawcount = len(value) rawcount = value.find(b'\0\0') if rawcount < 0: rawcount = count else: rawcount += 1 # length of string without buffer value = (value,) if len(dtype) > 1: count *= int(dtype[:-1]) dtype = dtype[-1] ifdentry = [pack('HH', code, tifftype), pack(offset_format, rawcount)] ifdvalue = None if struct.calcsize(dtype) * count <= offset_size: # value(s) can be written directly if count == 1: if isinstance(value, (tuple, list, numpy.ndarray)): value = value[0] ifdentry.append(pack(value_format, pack(dtype, value))) else: ifdentry.append(pack(value_format, pack(str(count)+dtype, *value))) else: # use offset to value(s) ifdentry.append(pack(offset_format, 0)) if isinstance(value, numpy.ndarray): assert value.size == count assert value.dtype.char == dtype ifdvalue = value.tobytes() elif isinstance(value, (tuple, list)): ifdvalue = pack(str(count)+dtype, *value) else: ifdvalue = pack(dtype, value) tags.append((code, b''.join(ifdentry), ifdvalue, writeonce)) def rational(arg, max_denominator=1000000): # return nominator and denominator from float or two integers try: f = Fraction.from_float(arg) except TypeError: f = Fraction(arg[0], arg[1]) f = f.limit_denominator(max_denominator) return f.numerator, f.denominator if description: # user provided description addtag('image_description', 's', 0, description, writeonce=True) # write shape and metadata to image_description self._metadata = {} if not metadata else metadata if self._imagej: description = imagej_description( data_shape, shape[-1] in (3, 4), self._colormap is not None, **self._metadata) elif metadata or metadata == {}: description = image_description( data_shape, self._colormap is not None, **self._metadata) else: description = None if description: # add 32 bytes buffer # the image description might be updated later with the final shape description += b'\0'*32 self._description_len = len(description) addtag('image_description', 's', 0, description, writeonce=True) if self._software: addtag('software', 's', 0, self._software, writeonce=True) self._software = None # only save to first page in file if datetime is None: datetime = self._now() addtag('datetime', 's', 0, datetime.strftime("%Y:%m:%d %H:%M:%S"), writeonce=True) addtag('compression', 'H', 1, compress_tag) addtag('image_width', 'I', 1, shape[-2]) addtag('image_length', 'I', 1, shape[-3]) if tile: addtag('tile_width', 'I', 1, tile[-1]) addtag('tile_length', 'I', 1, tile[-2]) if tile[0] > 1: addtag('image_depth', 'I', 1, shape[-4]) addtag('tile_depth', 'I', 1, tile[0]) addtag('new_subfile_type', 'I', 1, 0) addtag('sample_format', 'H', 1, {'u': 1, 'i': 2, 'f': 3, 'c': 6}[data.dtype.kind]) addtag('photometric', 'H', 1, {'miniswhite': 0, 'minisblack': 1, 'rgb': 2, 'palette': 3}[photometric]) if colormap is not None: addtag('color_map', 'H', colormap.size, colormap) addtag('samples_per_pixel', 'H', 1, samplesperpixel) if planarconfig and samplesperpixel > 1: addtag('planar_configuration', 'H', 1, 1 if planarconfig == 'contig' else 2) addtag('bits_per_sample', 'H', samplesperpixel, (data.dtype.itemsize * 8,) * samplesperpixel) else: addtag('bits_per_sample', 'H', 1, data.dtype.itemsize * 8) if extrasamples: if photometric == 'rgb' and extrasamples == 1: addtag('extra_samples', 'H', 1, 1) # associated alpha channel else: addtag('extra_samples', 'H', extrasamples, (0,) * extrasamples) if resolution: addtag('x_resolution', '2I', 1, rational(resolution[0])) addtag('y_resolution', '2I', 1, rational(resolution[1])) resolution_unit = ({'none': 1, 'inch': 2, 'cm': 3}[resolution[2]] if len(resolution) == 3 else 2) addtag('resolution_unit', 'H', 1, resolution_unit) if not tile: addtag('rows_per_strip', 'I', 1, shape[-3]) # * shape[-4] if tile: # use one chunk per tile per plane tiles = ((shape[2] + tile[0] - 1) // tile[0], (shape[3] + tile[1] - 1) // tile[1], (shape[4] + tile[2] - 1) // tile[2]) numtiles = product(tiles) * shape[1] strip_byte_counts = [ product(tile) * shape[-1] * data.dtype.itemsize] * numtiles addtag(tag_byte_counts, offset_format, numtiles, strip_byte_counts) addtag(tag_offsets, offset_format, numtiles, [0] * numtiles) # allocate tile buffer chunk = numpy.empty(tile + (shape[-1],), dtype=data.dtype) else: # use one strip per plane strip_byte_counts = [ data[0, 0].size * data.dtype.itemsize] * shape[1] addtag(tag_byte_counts, offset_format, shape[1], strip_byte_counts) addtag(tag_offsets, offset_format, shape[1], [0] * shape[1]) # add extra tags from user for t in extratags: addtag(*t) # TODO: check TIFFReadDirectoryCheckOrder warning in files containing # multiple tags of same code # the entries in an IFD must be sorted in ascending order by tag code tags = sorted(tags, key=lambda x: x[0]) if not (self._bigtiff or self._imagej) and ( fh.tell() + data.size*data.dtype.itemsize > 2**31-1): raise ValueError("data too large for standard TIFF file") # if not compressed or tiled, write the first ifd and then all data # contiguously; else, write all ifds and data interleaved for pageindex in range(shape[0] if (compress or tile) else 1): # update pointer at ifd_offset pos = fh.tell() fh.seek(self._ifd_offset) fh.write(pack(offset_format, pos)) fh.seek(pos) # write ifdentries fh.write(pack(numtag_format, len(tags))) tag_offset = fh.tell() fh.write(b''.join(t[1] for t in tags)) self._ifd_offset = fh.tell() fh.write(pack(offset_format, 0)) # offset to next IFD # write tag values and patch offsets in ifdentries, if necessary for tagindex, tag in enumerate(tags): if tag[2]: pos = fh.tell() fh.seek(tag_offset + tagindex*tag_size + offset_size + 4) fh.write(pack(offset_format, pos)) fh.seek(pos) if tag[0] == tag_offsets: strip_offsets_offset = pos elif tag[0] == tag_byte_counts: strip_byte_counts_offset = pos elif tag[0] == 270 and tag[2].endswith(b'\0\0\0\0'): # image description buffer self._description_offset = pos self._description_len_offset = ( tag_offset + tagindex * tag_size + 4) fh.write(tag[2]) # write image data data_offset = fh.tell() if compress: strip_byte_counts = [] if tile: for plane in data[pageindex]: for tz in range(tiles[0]): for ty in range(tiles[1]): for tx in range(tiles[2]): c0 = min(tile[0], shape[2] - tz*tile[0]) c1 = min(tile[1], shape[3] - ty*tile[1]) c2 = min(tile[2], shape[4] - tx*tile[2]) chunk[c0:, c1:, c2:] = 0 chunk[:c0, :c1, :c2] = plane[ tz*tile[0]:tz*tile[0]+c0, ty*tile[1]:ty*tile[1]+c1, tx*tile[2]:tx*tile[2]+c2] if compress: t = compress(chunk) strip_byte_counts.append(len(t)) fh.write(t) else: fh.write_array(chunk) fh.flush() elif compress: for plane in data[pageindex]: plane = compress(plane) strip_byte_counts.append(len(plane)) fh.write(plane) else: fh.write_array(data) # update strip/tile offsets and byte_counts if necessary pos = fh.tell() for tagindex, tag in enumerate(tags): if tag[0] == tag_offsets: # strip/tile offsets if tag[2]: fh.seek(strip_offsets_offset) strip_offset = data_offset for size in strip_byte_counts: fh.write(pack(offset_format, strip_offset)) strip_offset += size else: fh.seek(tag_offset + tagindex*tag_size + offset_size + 4) fh.write(pack(offset_format, data_offset)) elif tag[0] == tag_byte_counts: # strip/tile byte_counts if compress: if tag[2]: fh.seek(strip_byte_counts_offset) for size in strip_byte_counts: fh.write(pack(offset_format, size)) else: fh.seek(tag_offset + tagindex*tag_size + offset_size + 4) fh.write(pack(offset_format, strip_byte_counts[0])) break fh.seek(pos) fh.flush() # remove tags that should be written only once if pageindex == 0: tags = [tag for tag in tags if not tag[-1]] # if uncompressed, write remaining ifds/tags later if not (compress or tile): self._tags = tags self._shape = shape self._data_shape = (1,) + data_shape self._data_dtype = data.dtype self._data_offset = data_offset self._data_byte_counts = strip_byte_counts def _write_remaining_pages(self): """Write outstanding IFDs and tags to file.""" if not self._tags: return fh = self._fh byteorder = self._byteorder numtag_format = self._numtag_format offset_format = self._offset_format offset_size = self._offset_size tag_size = self._tag_size data_offset = self._data_offset page_data_size = sum(self._data_byte_counts) tag_bytes = b''.join(t[1] for t in self._tags) numpages = self._shape[0] * self._data_shape[0] - 1 pos = fh.tell() if not self._bigtiff and pos + len(tag_bytes) * numpages > 2**32 - 256: if self._imagej: warnings.warn("truncating ImageJ file") return raise ValueError("data too large for non-bigtiff file") def pack(fmt, *val): return struct.pack(byteorder+fmt, *val) for _ in range(numpages): # update pointer at ifd_offset pos = fh.tell() fh.seek(self._ifd_offset) fh.write(pack(offset_format, pos)) fh.seek(pos) # write ifd entries fh.write(pack(numtag_format, len(self._tags))) tag_offset = fh.tell() fh.write(tag_bytes) self._ifd_offset = fh.tell() fh.write(pack(offset_format, 0)) # offset to next IFD # offset to image data data_offset += page_data_size # write tag values and patch offsets in ifdentries, if necessary for tagindex, tag in enumerate(self._tags): if tag[2]: pos = fh.tell() fh.seek(tag_offset + tagindex*tag_size + offset_size + 4) fh.write(pack(offset_format, pos)) fh.seek(pos) if tag[0] == self._tag_offsets: strip_offsets_offset = pos fh.write(tag[2]) # update strip/tile offsets if necessary pos = fh.tell() for tagindex, tag in enumerate(self._tags): if tag[0] == self._tag_offsets: # strip/tile offsets if tag[2]: fh.seek(strip_offsets_offset) strip_offset = data_offset for size in self._data_byte_counts: fh.write(pack(offset_format, strip_offset)) strip_offset += size else: fh.seek(tag_offset + tagindex*tag_size + offset_size + 4) fh.write(pack(offset_format, data_offset)) break fh.seek(pos) self._tags = None self._data_dtype = None self._data_offset = None self._data_byte_counts = None # do not reset _shape or _data_shape def _write_image_description(self): """Write meta data to image_description tag.""" if (not self._data_shape or self._data_shape[0] == 1 or self._description_offset <= 0): return colormapped = self._colormap is not None if self._imagej: isrgb = self._shape[-1] in (3, 4) description = imagej_description( self._data_shape, isrgb, colormapped, **self._metadata) else: description = image_description( self._data_shape, colormapped, **self._metadata) # rewrite description and its length to file description = description[:self._description_len-1] pos = self._fh.tell() self._fh.seek(self._description_offset) self._fh.write(description) self._fh.seek(self._description_len_offset) self._fh.write(struct.pack(self._byteorder+self._offset_format, len(description)+1)) self._fh.seek(pos) self._description_offset = 0 self._description_len_offset = 0 self._description_len = 0 def _now(self): """Return current date and time.""" return datetime.datetime.now() def close(self, truncate=False): """Write remaining pages (if not truncate) and close file handle.""" if not truncate: self._write_remaining_pages() self._write_image_description() self._fh.close() def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): self.close() def imread(files, **kwargs): """Return image data from TIFF file(s) as numpy array. The first image series is returned if no arguments are provided. Parameters ---------- files : str, binary stream, or sequence File name, seekable binary stream, glob pattern, or sequence of file names. key : int, slice, or sequence of page indices Defines which pages to return as array. series : int Defines which series of pages in file to return as array. multifile : bool If True (default), OME-TIFF data may include pages from multiple files. pattern : str Regular expression pattern that matches axes names and indices in file names. kwargs : dict Additional parameters passed to the TiffFile or TiffSequence asarray function. Examples -------- >>> imsave('temp.tif', numpy.random.rand(3, 4, 301, 219)) >>> im = imread('temp.tif', key=0) >>> im.shape (4, 301, 219) >>> ims = imread(['temp.tif', 'temp.tif']) >>> ims.shape (2, 3, 4, 301, 219) """ kwargs_file = {} if 'multifile' in kwargs: kwargs_file['multifile'] = kwargs['multifile'] del kwargs['multifile'] else: kwargs_file['multifile'] = True kwargs_seq = {} if 'pattern' in kwargs: kwargs_seq['pattern'] = kwargs['pattern'] del kwargs['pattern'] if isinstance(files, basestring) and any(i in files for i in '?*'): files = glob.glob(files) if not files: raise ValueError('no files found') if not hasattr(files, 'seek') and len(files) == 1: files = files[0] if isinstance(files, basestring) or hasattr(files, 'seek'): with TiffFile(files, **kwargs_file) as tif: return tif.asarray(**kwargs) else: with TiffSequence(files, **kwargs_seq) as imseq: return imseq.asarray(**kwargs) class lazyattr(object): """Lazy object attribute whose value is computed on first access.""" __slots__ = ('func',) def __init__(self, func): self.func = func def __get__(self, instance, owner): if instance is None: return self value = self.func(instance) if value is NotImplemented: return getattr(super(owner, instance), self.func.__name__) setattr(instance, self.func.__name__, value) return value class TiffFile(object): """Read image and metadata from TIFF, STK, LSM, and FluoView files. TiffFile instances must be closed using the 'close' method, which is automatically called when using the 'with' statement. Attributes ---------- pages : list of TiffPage All TIFF pages in file. series : list of TiffPageSeries TIFF pages with compatible shapes and types. micromanager_metadata: dict Extra MicroManager non-TIFF metadata in the file, if exists. All attributes are read-only. Examples -------- >>> with TiffFile('temp.tif') as tif: ... data = tif.asarray() ... data.shape (5, 301, 219) """ def __init__(self, arg, name=None, offset=None, size=None, multifile=True, multifile_close=True, maxpages=None, fastij=True): """Initialize instance from file. Parameters ---------- arg : str or open file Name of file or open file object. The file objects are closed in TiffFile.close(). name : str Optional name of file in case 'arg' is a file handle. offset : int Optional start position of embedded file. By default this is the current file position. size : int Optional size of embedded file. By default this is the number of bytes from the 'offset' to the end of the file. multifile : bool If True (default), series may include pages from multiple files. Currently applies to OME-TIFF only. multifile_close : bool If True (default), keep the handles of other files in multifile series closed. This is inefficient when few files refer to many pages. If False, the C runtime may run out of resources. maxpages : int Number of pages to read (default: no limit). fastij : bool If True (default), try to use only the metadata from the first page of ImageJ files. Significantly speeds up loading movies with thousands of pages. """ self._fh = FileHandle(arg, mode='rb', name=name, offset=offset, size=size) self.offset_size = None self.pages = [] self._multifile = bool(multifile) self._multifile_close = bool(multifile_close) self._files = {self._fh.name: self} # cache of TiffFiles try: self._fromfile(maxpages, fastij) except Exception: self._fh.close() raise @property def filehandle(self): """Return file handle.""" return self._fh @property def filename(self): """Return name of file handle.""" return self._fh.name def close(self): """Close open file handle(s).""" for tif in self._files.values(): tif._fh.close() self._files = {} def _fromfile(self, maxpages=None, fastij=True): """Read TIFF header and all page records from file.""" self._fh.seek(0) try: self.byteorder = {b'II': '<', b'MM': '>'}[self._fh.read(2)] except KeyError: raise ValueError("not a valid TIFF file") self._is_native = self.byteorder == {'big': '>', 'little': '<'}[sys.byteorder] version = struct.unpack(self.byteorder+'H', self._fh.read(2))[0] if version == 43: # BigTiff self.offset_size, zero = struct.unpack(self.byteorder+'HH', self._fh.read(4)) if zero or self.offset_size != 8: raise ValueError("not a valid BigTIFF file") elif version == 42: self.offset_size = 4 else: raise ValueError("not a TIFF file") self.pages = [] while True: try: page = TiffPage(self) self.pages.append(page) except StopIteration: break if maxpages and len(self.pages) > maxpages: break if fastij and page.is_imagej: if page._patch_imagej(): break # only read the first page of ImageJ files fastij = False if not self.pages: raise ValueError("empty TIFF file") if self.is_micromanager: # MicroManager files contain metadata not stored in TIFF tags. self.micromanager_metadata = read_micromanager_metadata(self._fh) if self.is_lsm: self._fix_lsm_strip_offsets() self._fix_lsm_strip_byte_counts() def _fix_lsm_strip_offsets(self): """Unwrap strip offsets for LSM files greater than 4 GB.""" # each series and position require separate unwrappig (undocumented) for series in self.series: positions = 1 for i in 0, 1: if series.axes[i] in 'PM': positions *= series.shape[i] positions = len(series.pages) // positions for i, page in enumerate(series.pages): if not i % positions: wrap = 0 previous_offset = 0 strip_offsets = [] for current_offset in page.strip_offsets: if current_offset < previous_offset: wrap += 2**32 strip_offsets.append(current_offset + wrap) previous_offset = current_offset page.strip_offsets = tuple(strip_offsets) def _fix_lsm_strip_byte_counts(self): """Set strip_byte_counts to size of compressed data. The strip_byte_counts tag in LSM files contains the number of bytes for the uncompressed data. """ if not self.pages: return strips = {} for page in self.pages: assert len(page.strip_offsets) == len(page.strip_byte_counts) for offset, bytecount in zip(page.strip_offsets, page.strip_byte_counts): strips[offset] = bytecount offsets = sorted(strips.keys()) offsets.append(min(offsets[-1] + strips[offsets[-1]], self._fh.size)) for i, offset in enumerate(offsets[:-1]): strips[offset] = min(strips[offset], offsets[i+1] - offset) for page in self.pages: if page.compression: page.strip_byte_counts = tuple( strips[offset] for offset in page.strip_offsets) def asarray(self, key=None, series=None, memmap=False, tempdir=None): """Return image data from multiple TIFF pages as numpy array. By default the first image series is returned. Parameters ---------- key : int, slice, or sequence of page indices Defines which pages to return as array. series : int or TiffPageSeries Defines which series of pages to return as array. memmap : bool If True, return an read-only array stored in a binary file on disk if possible. The TIFF file is used if possible, else a temporary file is created. tempdir : str The directory where the memory-mapped file will be created. """ if key is None and series is None: series = 0 if series is not None: try: series = self.series[series] except (KeyError, TypeError): pass pages = series.pages else: pages = self.pages if key is None: pass elif isinstance(key, int): pages = [pages[key]] elif isinstance(key, slice): pages = pages[key] elif isinstance(key, collections.Iterable): pages = [pages[k] for k in key] else: raise TypeError("key must be an int, slice, or sequence") if not len(pages): raise ValueError("no pages selected") if self.is_nih: if pages[0].is_indexed: result = stack_pages(pages, colormapped=False, squeeze=False) result = apply_colormap(result, pages[0].color_map) else: result = stack_pages(pages, memmap=memmap, tempdir=tempdir, colormapped=False, squeeze=False) elif len(pages) == 1: result = pages[0].asarray(memmap=memmap) elif self.is_ome: assert not self.is_indexed, "color mapping disabled for ome-tiff" if any(p is None for p in pages): # zero out missing pages firstpage = next(p for p in pages if p) nopage = numpy.zeros_like( firstpage.asarray(memmap=False)) if memmap: with tempfile.NamedTemporaryFile() as fh: result = numpy.memmap(fh, series.dtype, shape=series.shape) result = result.reshape(-1) else: result = numpy.empty(series.shape, series.dtype).reshape(-1) index = 0 class KeepOpen: # keep Tiff files open between consecutive pages def __init__(self, parent, close): self.master = parent self.parent = parent self._close = close def open(self, page): if self._close and page and page.parent != self.parent: if self.parent != self.master: self.parent.filehandle.close() self.parent = page.parent self.parent.filehandle.open() def close(self): if self._close and self.parent != self.master: self.parent.filehandle.close() keep = KeepOpen(self, self._multifile_close) for page in pages: keep.open(page) if page: a = page.asarray(memmap=False, colormapped=False, reopen=False) else: a = nopage try: result[index:index + a.size] = a.reshape(-1) except ValueError as e: warnings.warn("ome-tiff: %s" % e) break index += a.size keep.close() elif key is None and series and series.offset: result = self.filehandle.memmap_array(series.dtype, series.shape, series.offset) else: result = stack_pages(pages, memmap=memmap, tempdir=tempdir) if key is None: try: result.shape = series.shape except ValueError: try: warnings.warn("failed to reshape %s to %s" % ( result.shape, series.shape)) # try series of expected shapes result.shape = (-1,) + series.shape except ValueError: # revert to generic shape result.shape = (-1,) + pages[0].shape elif len(pages) == 1: result.shape = pages[0].shape else: result.shape = (-1,) + pages[0].shape return result @lazyattr def series(self): """Return pages with compatible properties as TiffPageSeries.""" if not self.pages: return [] series = [] if self.is_ome: series = self._ome_series() elif self.is_fluoview: series = self._fluoview_series() elif self.is_lsm: series = self._lsm_series() elif self.is_imagej: series = self._imagej_series() elif self.is_nih: series = self._nih_series() if not series: # generic detection of series shapes = [] pages = {} index = 0 for page in self.pages: if not page.shape: continue if page.is_shaped: index += 1 # shape starts a new series shape = page.shape + (index, page.axes, page.compression in TIFF_DECOMPESSORS) if shape in pages: pages[shape].append(page) else: shapes.append(shape) pages[shape] = [page] series = [] for s in shapes: shape = ((len(pages[s]),) + s[:-3] if len(pages[s]) > 1 else s[:-3]) axes = (('I' + s[-2]) if len(pages[s]) > 1 else s[-2]) page0 = pages[s][0] if page0.is_shaped: metadata = image_description_dict(page0.is_shaped) reshape = metadata['shape'] if 'axes' in metadata: reaxes = metadata['axes'] if len(reaxes) == len(reshape): axes = reaxes shape = reshape else: warnings.warn("axes do not match shape") try: axes = reshape_axes(axes, shape, reshape) shape = reshape except ValueError as e: warnings.warn(e.message) series.append( TiffPageSeries(pages[s], shape, page0.dtype, axes)) # remove empty series, e.g. in MD Gel files series = [s for s in series if sum(s.shape) > 0] return series def _fluoview_series(self): """Return image series in FluoView file.""" page0 = self.pages[0] dims = { b'X': 'X', b'Y': 'Y', b'Z': 'Z', b'T': 'T', b'WAVELENGTH': 'C', b'TIME': 'T', b'XY': 'R', b'EVENT': 'V', b'EXPOSURE': 'L'} mmhd = list(reversed(page0.mm_header.dimensions)) axes = ''.join(dims.get(i[0].strip().upper(), 'Q') for i in mmhd if i[1] > 1) shape = tuple(int(i[1]) for i in mmhd if i[1] > 1) return [TiffPageSeries(self.pages, shape, page0.dtype, axes)] def _lsm_series(self): """Return image series in LSM file.""" page0 = self.pages[0] lsmi = page0.cz_lsm_info axes = CZ_SCAN_TYPES[lsmi.scan_type] if page0.is_rgb: axes = axes.replace('C', '').replace('XY', 'XYC') if hasattr(lsmi, 'dimension_p') and lsmi.dimension_p > 1: axes += 'P' if hasattr(lsmi, 'dimension_m') and lsmi.dimension_m > 1: axes += 'M' axes = axes[::-1] shape = tuple(getattr(lsmi, CZ_DIMENSIONS[i]) for i in axes) pages = [p for p in self.pages if not p.is_reduced] dtype = pages[0].dtype series = [TiffPageSeries(pages, shape, dtype, axes)] if len(pages) != len(self.pages): # reduced RGB pages pages = [p for p in self.pages if p.is_reduced] cp = 1 i = 0 while cp < len(pages) and i < len(shape)-2: cp *= shape[i] i += 1 shape = shape[:i] + pages[0].shape axes = axes[:i] + 'CYX' dtype = pages[0].dtype series.append(TiffPageSeries(pages, shape, dtype, axes)) return series def _imagej_series(self): """Return image series in ImageJ file.""" # ImageJ's dimension order is always TZCYXS # TODO: fix loading of color, composite or palette images shape = [] axes = [] page0 = self.pages[0] ij = page0.imagej_tags if 'frames' in ij: shape.append(ij['frames']) axes.append('T') if 'slices' in ij: shape.append(ij['slices']) axes.append('Z') if 'channels' in ij and not (self.is_rgb and not ij.get('hyperstack', False)): shape.append(ij['channels']) axes.append('C') remain = ij.get('images', len(self.pages)) // (product(shape) if shape else 1) if remain > 1: shape.append(remain) axes.append('I') if page0.axes[0] == 'I': # contiguous multiple images shape.extend(page0.shape[1:]) axes.extend(page0.axes[1:]) elif page0.axes[:2] == 'SI': # color-mapped contiguous multiple images shape = page0.shape[0:1] + tuple(shape) + page0.shape[2:] axes = list(page0.axes[0]) + axes + list(page0.axes[2:]) else: shape.extend(page0.shape) axes.extend(page0.axes) return [TiffPageSeries(self.pages, shape, page0.dtype, axes)] def _nih_series(self): """Return image series in NIH file.""" page0 = self.pages[0] if len(self.pages) == 1: shape = page0.shape axes = page0.axes else: shape = (len(self.pages),) + page0.shape axes = 'I' + page0.axes return [TiffPageSeries(self.pages, shape, page0.dtype, axes)] def _ome_series(self): """Return image series in OME-TIFF file(s).""" omexml = self.pages[0].tags['image_description'].value try: root = etree.fromstring(omexml) except etree.ParseError as e: # TODO: test this warnings.warn("ome-xml: %s" % e) omexml = omexml.decode('utf-8', 'ignore').encode('utf-8') root = etree.fromstring(omexml) uuid = root.attrib.get('UUID', None) self._files = {uuid: self} dirname = self._fh.dirname modulo = {} series = [] for element in root: if element.tag.endswith('BinaryOnly'): warnings.warn("ome-xml: not an ome-tiff master file") break if element.tag.endswith('StructuredAnnotations'): for annot in element: if not annot.attrib.get('Namespace', '').endswith('modulo'): continue for value in annot: for modul in value: for along in modul: if not along.tag[:-1].endswith('Along'): continue axis = along.tag[-1] newaxis = along.attrib.get('Type', 'other') newaxis = AXES_LABELS[newaxis] if 'Start' in along.attrib: labels = range( int(along.attrib['Start']), int(along.attrib['End']) + 1, int(along.attrib.get('Step', 1))) else: labels = [label.text for label in along if label.tag.endswith('Label')] modulo[axis] = (newaxis, labels) if not element.tag.endswith('Image'): continue for pixels in element: if not pixels.tag.endswith('Pixels'): continue atr = pixels.attrib dtype = atr.get('Type', None) axes = ''.join(reversed(atr['DimensionOrder'])) shape = list(int(atr['Size'+ax]) for ax in axes) size = product(shape[:-2]) ifds = [None] * (size // self.pages[0].samples_per_pixel) for data in pixels: if not data.tag.endswith('TiffData'): continue atr = data.attrib ifd = int(atr.get('IFD', 0)) num = int(atr.get('NumPlanes', 1 if 'IFD' in atr else 0)) num = int(atr.get('PlaneCount', num)) idx = [int(atr.get('First'+ax, 0)) for ax in axes[:-2]] try: idx = numpy.ravel_multi_index(idx, shape[:-2]) except ValueError: # ImageJ produces invalid ome-xml when cropping warnings.warn("ome-xml: invalid TiffData index") continue for uuid in data: if not uuid.tag.endswith('UUID'): continue if uuid.text not in self._files: if not self._multifile: # abort reading multifile OME series # and fall back to generic series return [] fname = uuid.attrib['FileName'] try: tif = TiffFile(os.path.join(dirname, fname)) except (IOError, ValueError): tif.close() warnings.warn( "ome-xml: failed to read '%s'" % fname) break self._files[uuid.text] = tif if self._multifile_close: tif.close() pages = self._files[uuid.text].pages try: for i in range(num if num else len(pages)): ifds[idx + i] = pages[ifd + i] except IndexError: warnings.warn("ome-xml: index out of range") # only process first uuid break else: pages = self.pages try: for i in range(num if num else len(pages)): ifds[idx + i] = pages[ifd + i] except IndexError: warnings.warn("ome-xml: index out of range") if all(i is None for i in ifds): # skip images without data continue dtype = next(i for i in ifds if i).dtype series.append(TiffPageSeries(ifds, shape, dtype, axes, self)) for serie in series: shape = list(serie.shape) for axis, (newaxis, labels) in modulo.items(): i = serie.axes.index(axis) size = len(labels) if shape[i] == size: serie.axes = serie.axes.replace(axis, newaxis, 1) else: shape[i] //= size shape.insert(i+1, size) serie.axes = serie.axes.replace(axis, axis+newaxis, 1) serie.shape = tuple(shape) # squeeze dimensions for serie in series: serie.shape, serie.axes = squeeze_axes(serie.shape, serie.axes) return series def __len__(self): """Return number of image pages in file.""" return len(self.pages) def __getitem__(self, key): """Return specified page.""" return self.pages[key] def __iter__(self): """Return iterator over pages.""" return iter(self.pages) def __str__(self): """Return string containing information about file.""" result = [ self._fh.name.capitalize(), format_size(self._fh.size), {'<': 'little endian', '>': 'big endian'}[self.byteorder]] if self.is_bigtiff: result.append("bigtiff") if len(self.pages) > 1: result.append("%i pages" % len(self.pages)) if len(self.series) > 1: result.append("%i series" % len(self.series)) if len(self._files) > 1: result.append("%i files" % (len(self._files))) return ", ".join(result) def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): self.close() @lazyattr def fstat(self): try: return os.fstat(self._fh.fileno()) except Exception: # io.UnsupportedOperation return None @lazyattr def is_bigtiff(self): """File has BigTIFF format.""" return self.offset_size != 4 @lazyattr def is_rgb(self): """File contains only RGB images.""" return all(p.is_rgb for p in self.pages) @lazyattr def is_indexed(self): """File contains only indexed images.""" return all(p.is_indexed for p in self.pages) @lazyattr def is_mdgel(self): """File has MD Gel format.""" return any(p.is_mdgel for p in self.pages) @lazyattr def is_mediacy(self): """File was created by Media Cybernetics software.""" return any(p.is_mediacy for p in self.pages) @lazyattr def is_stk(self): """File has MetaMorph STK format.""" return all(p.is_stk for p in self.pages) @lazyattr def is_lsm(self): """File was created by Carl Zeiss software.""" return len(self.pages) and self.pages[0].is_lsm @lazyattr def is_vista(self): """File was created by ISS Vista.""" return len(self.pages) and self.pages[0].is_vista @lazyattr def is_imagej(self): """File has ImageJ format.""" return len(self.pages) and self.pages[0].is_imagej @lazyattr def is_micromanager(self): """File was created by MicroManager.""" return len(self.pages) and self.pages[0].is_micromanager @lazyattr def is_nih(self): """File has NIH Image format.""" return len(self.pages) and self.pages[0].is_nih @lazyattr def is_fluoview(self): """File was created by Olympus FluoView.""" return len(self.pages) and self.pages[0].is_fluoview @lazyattr def is_ome(self): """File has OME-TIFF format.""" return len(self.pages) and self.pages[0].is_ome @lazyattr def is_scn(self): """File has Leica SCN format.""" return len(self.pages) and self.pages[0].is_scn class TiffPage(object): """A TIFF image file directory (IFD). Attributes ---------- index : int Index of page in file. dtype : str {TIFF_SAMPLE_DTYPES} Data type of image, color-mapped if applicable. shape : tuple Dimensions of the image array in TIFF page, color-mapped and with extra samples if applicable. axes : str Axes label codes: 'X' width, 'Y' height, 'S' sample, 'I' image series|page|plane, 'Z' depth, 'C' color|em-wavelength|channel, 'E' ex-wavelength|lambda, 'T' time, 'R' region|tile, 'A' angle, 'P' phase, 'H' lifetime, 'L' exposure, 'V' event, 'Q' unknown, '_' missing tags : TiffTags Dictionary of tags in page. Tag values are also directly accessible as attributes. color_map : numpy.ndarray Color look up table, if exists. cz_lsm_scan_info: Record(dict) LSM scan info attributes, if exists. imagej_tags: Record(dict) Consolidated ImageJ description and metadata tags, if exists. uic_tags: Record(dict) Consolidated MetaMorph STK/UIC tags, if exists. All attributes are read-only. Notes ----- The internal, normalized '_shape' attribute is 6 dimensional: 0. number planes/images (stk, ij). 1. planar samples_per_pixel. 2. image_depth Z (sgi). 3. image_length Y. 4. image_width X. 5. contig samples_per_pixel. """ def __init__(self, parent): """Initialize instance from file.""" self.parent = parent self.index = len(parent.pages) self.shape = self._shape = () self.dtype = self._dtype = None self.axes = "" self.tags = TiffTags() self._offset = 0 self._fromfile() self._process_tags() def _fromfile(self): """Read TIFF IFD structure and its tags from file. File cursor must be at storage position of IFD offset and is left at offset to next IFD. Raises StopIteration if offset (first bytes read) is 0 or a corrupted page list is encountered. """ fh = self.parent.filehandle byteorder = self.parent.byteorder offset_size = self.parent.offset_size # read offset to this IFD fmt = {4: 'I', 8: 'Q'}[offset_size] offset = struct.unpack(byteorder + fmt, fh.read(offset_size))[0] if not offset: raise StopIteration() if offset >= fh.size: warnings.warn("invalid page offset > file size") raise StopIteration() self._offset = offset # read standard tags tags = self.tags fh.seek(offset) fmt, size = {4: ('H', 2), 8: ('Q', 8)}[offset_size] try: numtags = struct.unpack(byteorder + fmt, fh.read(size))[0] if numtags > 4096: raise ValueError("suspicious number of tags") except Exception: warnings.warn("corrupted page list at offset %i" % offset) raise StopIteration() tagcode = 0 for _ in range(numtags): try: tag = TiffTag(self.parent) except TiffTag.Error as e: warnings.warn(str(e)) continue if tagcode > tag.code: # expected for early LSM and tifffile versions warnings.warn("tags are not ordered by code") tagcode = tag.code if tag.name not in tags: tags[tag.name] = tag else: # some files contain multiple IFD with same code # e.g. MicroManager files contain two image_description i = 1 while True: name = "%s_%i" % (tag.name, i) if name not in tags: tags[name] = tag break pos = fh.tell() # where offset to next IFD can be found if self.is_lsm or (self.index and self.parent.is_lsm): # correct non standard LSM bitspersample tags self.tags['bits_per_sample']._fix_lsm_bitspersample(self) if self.is_lsm: # read LSM info subrecords for name, reader in CZ_LSM_INFO_READERS.items(): try: offset = self.cz_lsm_info['offset_'+name] except KeyError: continue if offset < 8: # older LSM revision continue fh.seek(offset) try: setattr(self, 'cz_lsm_'+name, reader(fh)) except ValueError: pass elif self.is_stk and 'uic1tag' in tags and not tags['uic1tag'].value: # read uic1tag now that plane count is known uic1tag = tags['uic1tag'] fh.seek(uic1tag.value_offset) tags['uic1tag'].value = Record( read_uic1tag(fh, byteorder, uic1tag.dtype, uic1tag.count, tags['uic2tag'].count)) fh.seek(pos) def _process_tags(self): """Validate standard tags and initialize attributes. Raise ValueError if tag values are not supported. """ tags = self.tags for code, (name, default, dtype, count, validate) in TIFF_TAGS.items(): if name in tags: #tags[name] = TiffTag(code, dtype=dtype, count=count, # value=default, name=name) if validate: try: if tags[name].count == 1: setattr(self, name, validate[tags[name].value]) else: setattr(self, name, tuple( validate[value] for value in tags[name].value)) except KeyError: raise ValueError("%s.value (%s) not supported" % (name, tags[name].value)) elif default is not None: setattr(self, name, validate[default] if validate else default) if 'bits_per_sample' in tags: tag = tags['bits_per_sample'] if tag.count == 1: self.bits_per_sample = tag.value else: # LSM might list more items than samples_per_pixel value = tag.value[:self.samples_per_pixel] if any((v-value[0] for v in value)): self.bits_per_sample = value else: self.bits_per_sample = value[0] if 'sample_format' in tags: tag = tags['sample_format'] if tag.count == 1: self.sample_format = TIFF_SAMPLE_FORMATS[tag.value] else: value = tag.value[:self.samples_per_pixel] if any((v-value[0] for v in value)): self.sample_format = [TIFF_SAMPLE_FORMATS[v] for v in value] else: self.sample_format = TIFF_SAMPLE_FORMATS[value[0]] if 'photometric' not in tags: self.photometric = None if 'image_length' in tags: self.strips_per_image = int(math.floor( float(self.image_length + self.rows_per_strip - 1) / self.rows_per_strip)) else: self.strips_per_image = 0 key = (self.sample_format, self.bits_per_sample) self.dtype = self._dtype = TIFF_SAMPLE_DTYPES.get(key, None) if 'image_length' not in self.tags or 'image_width' not in self.tags: # some GEL file pages are missing image data self.image_length = 0 self.image_width = 0 self.image_depth = 0 self.strip_offsets = 0 self._shape = () self.shape = () self.axes = '' if self.is_vista or self.parent.is_vista: # ISS Vista writes wrong image_depth tag self.image_depth = 1 if self.is_indexed: self.dtype = self.tags['color_map'].dtype[1] self.color_map = numpy.array(self.color_map, self.dtype) dmax = self.color_map.max() if dmax < 256: self.dtype = numpy.uint8 self.color_map = self.color_map.astype(self.dtype) #else: # self.dtype = numpy.uint8 # self.color_map >>= 8 # self.color_map = self.color_map.astype(self.dtype) # TODO: support other photometric modes than RGB self.color_map.shape = (3, -1) # determine shape of data image_length = self.image_length image_width = self.image_width image_depth = self.image_depth samples_per_pixel = self.samples_per_pixel if self.is_stk: assert self.image_depth == 1 planes = self.tags['uic2tag'].count if self.is_contig: self._shape = (planes, 1, 1, image_length, image_width, samples_per_pixel) if samples_per_pixel == 1: self.shape = (planes, image_length, image_width) self.axes = 'YX' else: self.shape = (planes, image_length, image_width, samples_per_pixel) self.axes = 'YXS' else: self._shape = (planes, samples_per_pixel, 1, image_length, image_width, 1) if samples_per_pixel == 1: self.shape = (planes, image_length, image_width) self.axes = 'YX' else: self.shape = (planes, samples_per_pixel, image_length, image_width) self.axes = 'SYX' # detect type of series if planes == 1: self.shape = self.shape[1:] elif numpy.all(self.uic2tag.z_distance != 0): self.axes = 'Z' + self.axes elif numpy.all(numpy.diff(self.uic2tag.time_created) != 0): self.axes = 'T' + self.axes else: self.axes = 'I' + self.axes # DISABLED if self.is_indexed: assert False, "color mapping disabled for stk" if self.color_map.shape[1] >= 2**self.bits_per_sample: if image_depth == 1: self.shape = (planes, image_length, image_width, self.color_map.shape[0]) else: self.shape = (planes, image_depth, image_length, image_width, self.color_map.shape[0]) self.axes = self.axes + 'S' else: warnings.warn("palette cannot be applied") self.is_indexed = False elif self.is_indexed: samples = 1 if 'extra_samples' in self.tags: samples += self.tags['extra_samples'].count if self.is_contig: self._shape = (1, 1, image_depth, image_length, image_width, samples) else: self._shape = (1, samples, image_depth, image_length, image_width, 1) if self.color_map.shape[1] >= 2**self.bits_per_sample: if image_depth == 1: self.shape = (image_length, image_width, self.color_map.shape[0]) self.axes = 'YXS' else: self.shape = (image_depth, image_length, image_width, self.color_map.shape[0]) self.axes = 'ZYXS' else: warnings.warn("palette cannot be applied") self.is_indexed = False if image_depth == 1: self.shape = (image_length, image_width) self.axes = 'YX' else: self.shape = (image_depth, image_length, image_width) self.axes = 'ZYX' elif self.is_rgb or samples_per_pixel > 1: if self.is_contig: self._shape = (1, 1, image_depth, image_length, image_width, samples_per_pixel) if image_depth == 1: self.shape = (image_length, image_width, samples_per_pixel) self.axes = 'YXS' else: self.shape = (image_depth, image_length, image_width, samples_per_pixel) self.axes = 'ZYXS' else: self._shape = (1, samples_per_pixel, image_depth, image_length, image_width, 1) if image_depth == 1: self.shape = (samples_per_pixel, image_length, image_width) self.axes = 'SYX' else: self.shape = (samples_per_pixel, image_depth, image_length, image_width) self.axes = 'SZYX' if False and self.is_rgb and 'extra_samples' in self.tags: # DISABLED: only use RGB and first alpha channel if exists extra_samples = self.extra_samples if self.tags['extra_samples'].count == 1: extra_samples = (extra_samples,) for exs in extra_samples: if exs in ('unassalpha', 'assocalpha', 'unspecified'): if self.is_contig: self.shape = self.shape[:-1] + (4,) else: self.shape = (4,) + self.shape[1:] break else: self._shape = (1, 1, image_depth, image_length, image_width, 1) if image_depth == 1: self.shape = (image_length, image_width) self.axes = 'YX' else: self.shape = (image_depth, image_length, image_width) self.axes = 'ZYX' if not self.compression and 'strip_byte_counts' not in tags: self.strip_byte_counts = ( product(self.shape) * (self.bits_per_sample // 8),) assert len(self.shape) == len(self.axes) def _patch_imagej(self): """Return if ImageJ data are contiguous and adjust page attributes. Patch 'strip_offsets' and 'strip_byte_counts' tags to span the complete contiguous data. ImageJ stores all image metadata in the first page and image data is stored contiguously before the second page, if any. No need to read other pages. """ if not self.is_imagej or not self.is_contiguous or self.parent.is_ome: return images = self.imagej_tags.get('images', 0) if images <= 1: return offset, count = self.is_contiguous shape = self.shape if self.is_indexed: shape = shape[:-1] if (count != product(shape) * self.bits_per_sample // 8 or offset + count*images > self.parent.filehandle.size): self.is_imagej = False warnings.warn("corrupted ImageJ metadata or file") return pre = 'tile' if self.is_tiled else 'strip' self.tags[pre+'_offsets'].value = (offset,) self.tags[pre+'_byte_counts'].value = (count * images,) self.shape = (images,) + self.shape self._shape = (images,) + self._shape[1:] self.axes = 'I' + self.axes return True def asarray(self, squeeze=True, colormapped=True, rgbonly=False, scale_mdgel=False, memmap=False, reopen=True, maxsize=64*1024*1024*1024): """Read image data from file and return as numpy array. Raise ValueError if format is unsupported. If any of 'squeeze', 'colormapped', or 'rgbonly' are not the default, the shape of the returned array might be different from the page shape. Parameters ---------- squeeze : bool If True, all length-1 dimensions (except X and Y) are squeezed out from result. colormapped : bool If True, color mapping is applied for palette-indexed images. rgbonly : bool If True, return RGB(A) image without additional extra samples. memmap : bool If True, use numpy.memmap to read arrays from file if possible. For use on 64 bit systems and files with few huge contiguous data. reopen : bool If True and the parent file handle is closed, the file is temporarily re-opened (and closed if no exception occurs). scale_mdgel : bool If True, MD Gel data will be scaled according to the private metadata in the second TIFF page. The dtype will be float32. maxsize: int or None Maximum size of data before a ValueError is raised. Can be used to catch DOS. Default: 64 GB. """ if not self._shape: return if maxsize and product(self._shape) > maxsize: raise ValueError("data is too large %s" % str(self._shape)) if self.dtype is None: raise ValueError("data type not supported: %s%i" % ( self.sample_format, self.bits_per_sample)) if self.compression not in TIFF_DECOMPESSORS: raise ValueError("cannot decompress %s" % self.compression) if 'sample_format' in self.tags: tag = self.tags['sample_format'] if tag.count != 1 and any((i-tag.value[0] for i in tag.value)): raise ValueError("sample formats do not match %s" % tag.value) if self.is_chroma_subsampled: # TODO: implement chroma subsampling raise NotImplementedError("chroma subsampling not supported") fh = self.parent.filehandle closed = fh.closed if closed: if reopen: fh.open() else: raise IOError("file handle is closed") dtype = self._dtype shape = self._shape image_width = self.image_width image_length = self.image_length image_depth = self.image_depth typecode = self.parent.byteorder + dtype bits_per_sample = self.bits_per_sample lsb2msb = self.fill_order == 'lsb2msb' byte_counts, offsets = self._byte_counts_offsets if self.is_tiled: tile_width = self.tile_width tile_length = self.tile_length tile_depth = self.tile_depth if 'tile_depth' in self.tags else 1 tw = (image_width + tile_width - 1) // tile_width tl = (image_length + tile_length - 1) // tile_length td = (image_depth + tile_depth - 1) // tile_depth shape = (shape[0], shape[1], td*tile_depth, tl*tile_length, tw*tile_width, shape[-1]) tile_shape = (tile_depth, tile_length, tile_width, shape[-1]) runlen = tile_width else: runlen = image_width if memmap and self._is_memmappable(rgbonly, colormapped): result = fh.memmap_array(typecode, shape, offset=offsets[0]) elif self.is_contiguous: fh.seek(offsets[0]) result = fh.read_array(typecode, product(shape)) result = result.astype('=' + dtype) if lsb2msb: reverse_bitorder(result) else: if self.is_contig: runlen *= self.samples_per_pixel if bits_per_sample in (8, 16, 32, 64, 128): if (bits_per_sample * runlen) % 8: raise ValueError("data and sample size mismatch") def unpack(x, typecode=typecode): if self.predictor == 'float': # the floating point horizontal differencing decoder # needs the raw byte order typecode = dtype try: return numpy.fromstring(x, typecode) except ValueError as e: # strips may be missing EOI warnings.warn("unpack: %s" % e) xlen = ((len(x) // (bits_per_sample // 8)) * (bits_per_sample // 8)) return numpy.fromstring(x[:xlen], typecode) elif isinstance(bits_per_sample, tuple): def unpack(x): return unpack_rgb(x, typecode, bits_per_sample) else: def unpack(x): return unpack_ints(x, typecode, bits_per_sample, runlen) decompress = TIFF_DECOMPESSORS[self.compression] if self.compression == 'jpeg': table = self.jpeg_tables if 'jpeg_tables' in self.tags else b'' def decompress(x): return decode_jpeg(x, table, self.photometric) if self.is_tiled: result = numpy.empty(shape, dtype) tw, tl, td, pl = 0, 0, 0, 0 for offset, bytecount in zip(offsets, byte_counts): fh.seek(offset) tile = fh.read(bytecount) if lsb2msb: tile = reverse_bitorder(tile) tile = decompress(tile) tile = unpack(tile) try: tile.shape = tile_shape except ValueError: # incomplete tiles; see gdal issue #1179 warnings.warn("invalid tile data") t = numpy.zeros(tile_shape, dtype).reshape(-1) s = min(tile.size, t.size) t[:s] = tile[:s] tile = t.reshape(tile_shape) if self.predictor == 'horizontal': numpy.cumsum(tile, axis=-2, dtype=dtype, out=tile) elif self.predictor == 'float': raise NotImplementedError() result[0, pl, td:td+tile_depth, tl:tl+tile_length, tw:tw+tile_width, :] = tile del tile tw += tile_width if tw >= shape[4]: tw, tl = 0, tl + tile_length if tl >= shape[3]: tl, td = 0, td + tile_depth if td >= shape[2]: td, pl = 0, pl + 1 result = result[..., :image_depth, :image_length, :image_width, :] else: strip_size = (self.rows_per_strip * self.image_width * self.samples_per_pixel) result = numpy.empty(shape, dtype).reshape(-1) index = 0 for offset, bytecount in zip(offsets, byte_counts): fh.seek(offset) strip = fh.read(bytecount) if lsb2msb: strip = reverse_bitorder(strip) strip = decompress(strip) strip = unpack(strip) size = min(result.size, strip.size, strip_size, result.size - index) result[index:index+size] = strip[:size] del strip index += size result.shape = self._shape if self.predictor and not (self.is_tiled and not self.is_contiguous): if self.parent.is_lsm and not self.compression: pass # work around bug in LSM510 software elif self.predictor == 'horizontal': numpy.cumsum(result, axis=-2, dtype=dtype, out=result) elif self.predictor == 'float': result = decode_floats(result) if colormapped and self.is_indexed: if self.color_map.shape[1] >= 2**bits_per_sample: # FluoView and LSM might fail here result = apply_colormap(result[:, 0:1, :, :, :, 0:1], self.color_map) elif rgbonly and self.is_rgb and 'extra_samples' in self.tags: # return only RGB and first alpha channel if exists extra_samples = self.extra_samples if self.tags['extra_samples'].count == 1: extra_samples = (extra_samples,) for i, exs in enumerate(extra_samples): if exs in ('unassalpha', 'assocalpha', 'unspecified'): if self.is_contig: result = result[..., [0, 1, 2, 3+i]] else: result = result[:, [0, 1, 2, 3+i]] break else: if self.is_contig: result = result[..., :3] else: result = result[:, :3] if squeeze: try: result.shape = self.shape except ValueError: warnings.warn("failed to reshape from %s to %s" % ( str(result.shape), str(self.shape))) if scale_mdgel and self.parent.is_mdgel: # MD Gel stores private metadata in the second page tags = self.parent.pages[1] if tags.md_file_tag in (2, 128): scale = tags.md_scale_pixel scale = scale[0] / scale[1] # rational result = result.astype('float32') if tags.md_file_tag == 2: result **= 2 # squary root data format result *= scale if closed: # TODO: file should remain open if an exception occurred above fh.close() return result @lazyattr def _byte_counts_offsets(self): """Return simplified byte_counts and offsets.""" if 'tile_offsets' in self.tags: byte_counts = self.tile_byte_counts offsets = self.tile_offsets else: byte_counts = self.strip_byte_counts offsets = self.strip_offsets j = 0 for i, (b, o) in enumerate(zip(byte_counts, offsets)): if b > 0 and o > 0: if i > j: byte_counts[j] = b offsets[j] = o j += 1 elif b > 0 and o <= 0: raise ValueError("invalid offset") else: warnings.warn("empty byte count") if j == 0: j = 1 return byte_counts[:j], offsets[:j] def _is_memmappable(self, rgbonly, colormapped): """Return if page's image data in file can be memory-mapped.""" return (self.parent.filehandle.is_file and self.is_contiguous and (self.bits_per_sample == 8 or self.parent._is_native) and self.fill_order == 'msb2lsb' and not self.predictor and not self.is_chroma_subsampled and not (rgbonly and 'extra_samples' in self.tags) and not (colormapped and self.is_indexed)) @lazyattr def is_contiguous(self): """Return offset and size of contiguous data, else None. Excludes prediction, fill_order, and colormapping. """ if self.compression or self.bits_per_sample not in (8, 16, 32, 64): return if self.is_tiled: if (self.image_width != self.tile_width or self.image_length % self.tile_length or self.tile_width % 16 or self.tile_length % 16): return if ('image_depth' in self.tags and 'tile_depth' in self.tags and (self.image_length != self.tile_length or self.image_depth % self.tile_depth)): return offsets = self.tile_offsets byte_counts = self.tile_byte_counts else: offsets = self.strip_offsets byte_counts = self.strip_byte_counts if len(offsets) == 1: return offsets[0], byte_counts[0] if self.is_stk or all(offsets[i] + byte_counts[i] == offsets[i+1] or byte_counts[i+1] == 0 # no data/ignore offset for i in range(len(offsets)-1)): return offsets[0], sum(byte_counts) def __str__(self): """Return string containing information about page.""" s = ', '.join(s for s in ( ' x '.join(str(i) for i in self.shape), str(numpy.dtype(self.dtype)), '%s bit' % str(self.bits_per_sample), self.photometric if 'photometric' in self.tags else '', self.compression if self.compression else 'raw', '|'.join(t[3:] for t in ( 'is_stk', 'is_lsm', 'is_nih', 'is_ome', 'is_imagej', 'is_micromanager', 'is_fluoview', 'is_mdgel', 'is_mediacy', 'is_scn', 'is_sgi', 'is_reduced', 'is_tiled', 'is_contiguous') if getattr(self, t))) if s) return "Page %i: %s" % (self.index, s) def __getattr__(self, name): """Return tag value.""" if name in self.tags: value = self.tags[name].value setattr(self, name, value) return value raise AttributeError(name) @lazyattr def uic_tags(self): """Consolidate UIC tags.""" if not self.is_stk: raise AttributeError("uic_tags") tags = self.tags result = Record() result.number_planes = tags['uic2tag'].count if 'image_description' in tags: result.plane_descriptions = self.image_description.split(b'\x00') if 'uic1tag' in tags: result.update(tags['uic1tag'].value) if 'uic3tag' in tags: result.update(tags['uic3tag'].value) # wavelengths if 'uic4tag' in tags: result.update(tags['uic4tag'].value) # override uic1 tags uic2tag = tags['uic2tag'].value result.z_distance = uic2tag.z_distance result.time_created = uic2tag.time_created result.time_modified = uic2tag.time_modified try: result.datetime_created = [ julian_datetime(*dt) for dt in zip(uic2tag.date_created, uic2tag.time_created)] result.datetime_modified = [ julian_datetime(*dt) for dt in zip(uic2tag.date_modified, uic2tag.time_modified)] except ValueError as e: warnings.warn("uic_tags: %s" % e) return result @lazyattr def imagej_tags(self): """Consolidate ImageJ metadata.""" if not self.is_imagej: raise AttributeError("imagej_tags") result = imagej_description_dict(self.is_imagej) if 'imagej_metadata' in self.tags: try: result.update(imagej_metadata( self.tags['imagej_metadata'].value, self.tags['imagej_byte_counts'].value, self.parent.byteorder)) except Exception as e: warnings.warn(str(e)) return Record(result) @lazyattr def is_rgb(self): """Page contains a RGB image.""" return ('photometric' in self.tags and self.tags['photometric'].value == 2) @lazyattr def is_contig(self): """Page contains contiguous image.""" if 'planar_configuration' in self.tags: return self.tags['planar_configuration'].value == 1 return True @lazyattr def is_indexed(self): """Page contains indexed, palette-colored image. Disable color-mapping for OME, LSM, STK, and ImageJ hyperstacks. """ if (self.is_stk or self.is_lsm or self.parent.is_lsm or self.is_ome or self.parent.is_ome): return False if self.is_imagej: if b'mode' in self.is_imagej: return False elif self.parent.is_imagej: return self.parent.is_indexed return ('photometric' in self.tags and self.tags['photometric'].value == 3) @lazyattr def is_tiled(self): """Page contains tiled image.""" return 'tile_width' in self.tags @lazyattr def is_reduced(self): """Page is reduced image of another image.""" return ('new_subfile_type' in self.tags and self.tags['new_subfile_type'].value & 1) @lazyattr def is_chroma_subsampled(self): """Page contains chroma subsampled image.""" return ('ycbcr_subsampling' in self.tags and self.tags['ycbcr_subsampling'].value != (1, 1)) @lazyattr def is_mdgel(self): """Page contains md_file_tag tag.""" return 'md_file_tag' in self.tags @lazyattr def is_mediacy(self): """Page contains Media Cybernetics Id tag.""" return ('mc_id' in self.tags and self.tags['mc_id'].value.startswith(b'MC TIFF')) @lazyattr def is_stk(self): """Page contains UIC2Tag tag.""" return 'uic2tag' in self.tags @lazyattr def is_lsm(self): """Page contains LSM CZ_LSM_INFO tag.""" return 'cz_lsm_info' in self.tags @lazyattr def is_fluoview(self): """Page contains FluoView MM_STAMP tag.""" return 'mm_stamp' in self.tags @lazyattr def is_nih(self): """Page contains NIH image header.""" return 'nih_image_header' in self.tags @lazyattr def is_sgi(self): """Page contains SGI image and tile depth tags.""" return 'image_depth' in self.tags and 'tile_depth' in self.tags @lazyattr def is_vista(self): """Software tag is 'ISS Vista'.""" return ('software' in self.tags and self.tags['software'].value == b'ISS Vista') @lazyattr def is_ome(self): """Page contains OME-XML in image_description tag.""" if 'image_description' not in self.tags: return False d = self.tags['image_description'].value.strip() return d.startswith(b'') @lazyattr def is_scn(self): """Page contains Leica SCN XML in image_description tag.""" if 'image_description' not in self.tags: return False d = self.tags['image_description'].value.strip() return d.startswith(b'') @lazyattr def is_shaped(self): """Return description containing shape if exists, else None.""" if 'image_description' in self.tags: description = self.tags['image_description'].value if b'"shape":' in description or b'shape=(' in description: return description if 'image_description_1' in self.tags: description = self.tags['image_description_1'].value if b'"shape":' in description or b'shape=(' in description: return description @lazyattr def is_imagej(self): """Return ImageJ description if exists, else None.""" if 'image_description' in self.tags: description = self.tags['image_description'].value if description.startswith(b'ImageJ='): return description if 'image_description_1' in self.tags: # Micromanager description = self.tags['image_description_1'].value if description.startswith(b'ImageJ='): return description @lazyattr def is_micromanager(self): """Page contains Micro-Manager metadata.""" return 'micromanager_metadata' in self.tags class TiffTag(object): """A TIFF tag structure. Attributes ---------- name : string Attribute name of tag. code : int Decimal code of tag. dtype : str Datatype of tag data. One of TIFF_DATA_TYPES. count : int Number of values. value : various types Tag data as Python object. value_offset : int Location of value in file, if any. All attributes are read-only. """ __slots__ = ('code', 'name', 'count', 'dtype', 'value', 'value_offset', '_offset', '_value', '_type') class Error(Exception): pass def __init__(self, arg, **kwargs): """Initialize instance from file or arguments.""" self._offset = None if hasattr(arg, '_fh'): self._fromfile(arg, **kwargs) else: self._fromdata(arg, **kwargs) def _fromdata(self, code, dtype, count, value, name=None): """Initialize instance from arguments.""" self.code = int(code) self.name = name if name else str(code) self.dtype = TIFF_DATA_TYPES[dtype] self.count = int(count) self.value = value self._value = value self._type = dtype def _fromfile(self, parent): """Read tag structure from open file. Advance file cursor.""" fh = parent.filehandle byteorder = parent.byteorder self._offset = fh.tell() self.value_offset = self._offset + parent.offset_size + 4 fmt, size = {4: ('HHI4s', 12), 8: ('HHQ8s', 20)}[parent.offset_size] data = fh.read(size) code, dtype = struct.unpack(byteorder + fmt[:2], data[:4]) count, value = struct.unpack(byteorder + fmt[2:], data[4:]) self._value = value self._type = dtype if code in TIFF_TAGS: name, _, _, cout_, _ = TIFF_TAGS[code] if cout_ and cout_ != count: count = cout_ warnings.warn("incorrect count for tag '%s'" % name) elif code in CUSTOM_TAGS: name = CUSTOM_TAGS[code][0] else: name = str(code) try: dtype = TIFF_DATA_TYPES[self._type] except KeyError: raise TiffTag.Error("unknown tag data type %i" % self._type) fmt = '%s%i%s' % (byteorder, count*int(dtype[0]), dtype[1]) size = struct.calcsize(fmt) if size > parent.offset_size or code in CUSTOM_TAGS: pos = fh.tell() tof = {4: 'I', 8: 'Q'}[parent.offset_size] self.value_offset = offset = struct.unpack(byteorder+tof, value)[0] if offset < 0 or offset > parent.filehandle.size: raise TiffTag.Error("corrupt file - invalid tag value offset") elif offset < 4: raise TiffTag.Error("corrupt value offset for tag %i" % code) fh.seek(offset) if code in CUSTOM_TAGS: readfunc = CUSTOM_TAGS[code][1] value = readfunc(fh, byteorder, dtype, count) if isinstance(value, dict): # numpy.core.records.record value = Record(value) elif code in TIFF_TAGS or dtype[-1] == 's': value = struct.unpack(fmt, fh.read(size)) else: value = read_numpy(fh, byteorder, dtype, count) fh.seek(pos) else: value = struct.unpack(fmt, value[:size]) if code not in CUSTOM_TAGS and code not in ( 273, 279, 324, 325, 530, 531): # scalar value if not strip/tile offsets/byte_counts or subsampling if len(value) == 1: value = value[0] if (dtype.endswith('s') and isinstance(value, bytes) and self._type != 7): # TIFF ASCII fields can contain multiple strings, # each terminated with a NUL value = stripascii(value) self.code = code self.name = name self.dtype = dtype self.count = count self.value = value def _fix_lsm_bitspersample(self, parent): """Correct LSM bitspersample tag. Old LSM writers may use a separate region for two 16-bit values, although they fit into the tag value element of the tag. """ if self.code == 258 and self.count == 2: # TODO: test this case; need example file warnings.warn("correcting LSM bitspersample tag") fh = parent.filehandle tof = {4: '') def __str__(self): """Return string containing information about tag.""" return ' '.join(str(getattr(self, s)) for s in self.__slots__) class TiffPageSeries(object): """Series of TIFF pages with compatible shape and data type. Attributes ---------- pages : list of TiffPage Sequence of TiffPages in series. dtype : numpy.dtype or str Data type of the image array in series. shape : tuple Dimensions of the image array in series. axes : str Labels of axes in shape. See TiffPage.axes. offset : int or None Position of image data in file if memory-mappable, else None. """ #__slots__ = 'pages', 'shape', 'dtype', 'axes', 'parent' def __init__(self, pages, shape, dtype, axes, parent=None): # TODO? sort pages by page number? self.pages = pages self.shape = tuple(shape) self.axes = ''.join(axes) self.dtype = numpy.dtype(dtype) if parent: self.parent = parent elif len(pages): self.parent = pages[0].parent else: self.parent = None def asarray(self, memmap=False): """Return image data from series of TIFF pages as numpy array. Parameters ---------- memmap : bool If True, return an array stored in a binary file on disk if possible. """ if self.parent: return self.parent.asarray(series=self, memmap=memmap) @lazyattr def offset(self): """Return offset to memory-mappable data in page series.""" if len(self.pages) == 0: return rgbonly = False colormapped = self.pages[0].is_indexed pos = 0 for page in self.pages: if page is None: return if not page._is_memmappable(rgbonly, colormapped): return if not pos: pos = page.is_contiguous[0] + page.is_contiguous[1] continue if pos != page.is_contiguous[0]: return pos += page.is_contiguous[1] offset = self.pages[0].is_contiguous[0] if (pos != offset + product(self.shape) * self.dtype.itemsize and not self.pages[0].is_imagej): return return offset def __len__(self): """Return number of TiffPages in series.""" return len(self.pages) def __getitem__(self, key): """Return specified TiffPage.""" return self.pages[key] def __iter__(self): """Return iterator over TiffPages in series.""" return iter(self.pages) def __str__(self): """Return string with information about series.""" return "\n".join("* %s: %s" % kv for kv in ( ("pages", len(self.pages)), ("dtype", str(self.dtype)), ("shape", str(self.shape)), ("axes", self.axes), ("offset", self.offset) )) class TiffSequence(object): """Sequence of image files. The data shape and dtype of all files must match. Attributes ---------- files : list List of file names. shape : tuple Shape of image sequence. axes : str Labels of axes in shape. Examples -------- >>> tifs = TiffSequence("test.oif.files/*.tif") >>> tifs.shape, tifs.axes ((2, 100), 'CT') >>> data = tifs.asarray() >>> data.shape (2, 100, 256, 256) """ _patterns = { 'axes': r""" # matches Olympus OIF and Leica TIFF series _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4})) _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? _?(?:(q|l|p|a|c|t|x|y|z|ch|tp)(\d{1,4}))? """} class ParseError(Exception): pass def __init__(self, files, imread=TiffFile, pattern='axes', *args, **kwargs): """Initialize instance from multiple files. Parameters ---------- files : str, or sequence of str Glob pattern or sequence of file names. Binary streams are not supported. imread : function or class Image read function or class with asarray function returning numpy array from single file. pattern : str Regular expression pattern that matches axes names and sequence indices in file names. By default this matches Olympus OIF and Leica TIFF series. """ if isinstance(files, basestring): files = natural_sorted(glob.glob(files)) files = list(files) if not files: raise ValueError("no files found") if not isinstance(files[0], basestring): raise ValueError("not a file name") #if not os.path.isfile(files[0]): # raise ValueError("file not found") self.files = files if hasattr(imread, 'asarray'): # redefine imread _imread = imread def imread(fname, *args, **kwargs): with _imread(fname) as im: return im.asarray(*args, **kwargs) self.imread = imread self.pattern = self._patterns.get(pattern, pattern) try: self._parse() if not self.axes: self.axes = 'I' except self.ParseError: self.axes = 'I' self.shape = (len(files),) self._start_index = (0,) self._indices = tuple((i,) for i in range(len(files))) def __str__(self): """Return string with information about image sequence.""" return "\n".join([ self.files[0], '* files: %i' % len(self.files), '* axes: %s' % self.axes, '* shape: %s' % str(self.shape)]) def __len__(self): return len(self.files) def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): self.close() def close(self): pass def asarray(self, memmap=False, tempdir=None, *args, **kwargs): """Read image data from all files and return as single numpy array. If memmap is True, return an array stored in a binary file on disk. The args and kwargs parameters are passed to the imread function. Raise IndexError or ValueError if image shapes do not match. """ im = self.imread(self.files[0], *args, **kwargs) shape = self.shape + im.shape if memmap: with tempfile.NamedTemporaryFile(dir=tempdir) as fh: result = numpy.memmap(fh, dtype=im.dtype, shape=shape) else: result = numpy.zeros(shape, dtype=im.dtype) result = result.reshape(-1, *im.shape) for index, fname in zip(self._indices, self.files): index = [i-j for i, j in zip(index, self._start_index)] index = numpy.ravel_multi_index(index, self.shape) im = self.imread(fname, *args, **kwargs) result[index] = im result.shape = shape return result def _parse(self): """Get axes and shape from file names.""" if not self.pattern: raise self.ParseError("invalid pattern") pattern = re.compile(self.pattern, re.IGNORECASE | re.VERBOSE) matches = pattern.findall(self.files[0]) if not matches: raise self.ParseError("pattern does not match file names") matches = matches[-1] if len(matches) % 2: raise self.ParseError("pattern does not match axis name and index") axes = ''.join(m for m in matches[::2] if m) if not axes: raise self.ParseError("pattern does not match file names") indices = [] for fname in self.files: matches = pattern.findall(fname)[-1] if axes != ''.join(m for m in matches[::2] if m): raise ValueError("axes do not match within the image sequence") indices.append([int(m) for m in matches[1::2] if m]) shape = tuple(numpy.max(indices, axis=0)) start_index = tuple(numpy.min(indices, axis=0)) shape = tuple(i-j+1 for i, j in zip(shape, start_index)) if product(shape) != len(self.files): warnings.warn("files are missing. Missing data are zeroed") self.axes = axes.upper() self.shape = shape self._indices = indices self._start_index = start_index class Record(dict): """Dictionary with attribute access. Can also be initialized with numpy.core.records.record. """ __slots__ = () def __init__(self, arg=None, **kwargs): if kwargs: arg = kwargs elif arg is None: arg = {} try: dict.__init__(self, arg) except (TypeError, ValueError): for i, name in enumerate(arg.dtype.names): v = arg[i] self[name] = v if v.dtype.char != 'S' else stripnull(v) def __getattr__(self, name): return self[name] def __setattr__(self, name, value): self.__setitem__(name, value) def __str__(self): """Pretty print Record.""" s = [] lists = [] for k in sorted(self): try: if k.startswith('_'): # does not work with byte continue except AttributeError: pass v = self[k] if isinstance(v, (list, tuple)) and len(v): if isinstance(v[0], Record): lists.append((k, v)) continue elif isinstance(v[0], TiffPage): v = [i.index for i in v if i] s.append( ("* %s: %s" % (k, str(v))).split("\n", 1)[0] [:PRINT_LINE_LEN].rstrip()) for k, v in lists: l = [] for i, w in enumerate(v): l.append("* %s[%i]\n %s" % (k, i, str(w).replace("\n", "\n "))) s.append('\n'.join(l)) return '\n'.join(s) class TiffTags(Record): """Dictionary of TiffTag with attribute access.""" def __str__(self): """Return string with information about all tags.""" s = [] for tag in sorted(self.values(), key=lambda x: x.code): typecode = "%i%s" % (tag.count * int(tag.dtype[0]), tag.dtype[1]) line = "* %i %s (%s) %s" % ( tag.code, tag.name, typecode, tag.as_str()) s.append(line[:PRINT_LINE_LEN].lstrip()) return '\n'.join(s) class FileHandle(object): """Binary file handle. A limited, special purpose file handler that: * handles embedded files (for CZI within CZI files) * allows to re-open closed files (for multi file formats, such as OME-TIFF) * reads and writes numpy arrays and records from file like objects Only 'rb' and 'wb' modes are supported. Concurrently reading and writing of the same stream is untested. When initialized from another file handle, do not use it unless this FileHandle is closed. Attributes ---------- name : str Name of the file. path : str Absolute path to file. size : int Size of file in bytes. is_file : bool If True, file has a filno and can be memory-mapped. All attributes are read-only. """ __slots__ = ('_fh', '_file', '_mode', '_name', '_dir', '_offset', '_size', '_close', 'is_file') def __init__(self, file, mode='rb', name=None, offset=None, size=None): """Initialize file handle from file name or another file handle. Parameters ---------- file : str, binary stream, or FileHandle File name or seekable binary stream, such as a open file or BytesIO. mode : str File open mode in case 'file' is a file name. Must be 'rb' or 'wb'. name : str Optional name of file in case 'file' is a binary stream. offset : int Optional start position of embedded file. By default this is the current file position. size : int Optional size of embedded file. By default this is the number of bytes from the 'offset' to the end of the file. """ self._fh = None self._file = file self._mode = mode self._name = name self._dir = '' self._offset = offset self._size = size self._close = True self.is_file = False self.open() def open(self): """Open or re-open file.""" if self._fh: return # file is open if isinstance(self._file, basestring): # file name self._file = os.path.abspath(self._file) self._dir, self._name = os.path.split(self._file) self._fh = open(self._file, self._mode) self._close = True if self._offset is None: self._offset = 0 elif isinstance(self._file, FileHandle): # FileHandle self._fh = self._file._fh if self._offset is None: self._offset = 0 self._offset += self._file._offset self._close = False if not self._name: if self._offset: name, ext = os.path.splitext(self._file._name) self._name = "%s@%i%s" % (name, self._offset, ext) else: self._name = self._file._name if self._mode and self._mode != self._file._mode: raise ValueError('FileHandle has wrong mode') self._mode = self._file._mode self._dir = self._file._dir elif hasattr(self._file, 'seek'): # binary stream: open file, BytesIO try: self._file.tell() except Exception: raise ValueError("binary stream is not seekable") self._fh = self._file if self._offset is None: self._offset = self._file.tell() self._close = False if not self._name: try: self._dir, self._name = os.path.split(self._fh.name) except AttributeError: self._name = "Unnamed binary stream" try: self._mode = self._fh.mode except AttributeError: pass else: raise ValueError("The first parameter must be a file name, " "seekable binary stream, or FileHandle") # if self._mode not in (None, 'rb', 'wb', 'r+b', 'rb+', 'w+b', 'wb+'): # raise ValueError('file mode not supported: %s' % self._mode) if self._offset: self._fh.seek(self._offset) if self._size is None: pos = self._fh.tell() self._fh.seek(self._offset, 2) self._size = self._fh.tell() self._fh.seek(pos) try: self._fh.fileno() self.is_file = True except Exception: self.is_file = False def read(self, size=-1): """Read 'size' bytes from file, or until EOF is reached.""" if size < 0 and self._offset: size = self._size return self._fh.read(size) def write(self, bytestring): """Write bytestring to file.""" return self._fh.write(bytestring) def flush(self): """Flush write buffers if applicable.""" return self._fh.flush() def memmap_array(self, dtype, shape, offset=0, mode='r', order='C'): """Return numpy.memmap of data stored in file.""" if not self.is_file: raise ValueError("Can not memory-map file without fileno.") return numpy.memmap(self._fh, dtype=dtype, mode=mode, offset=self._offset + offset, shape=shape, order=order) def read_array(self, dtype, count=-1, sep=""): """Return numpy array from file. Work around numpy issue #2230, "numpy.fromfile does not accept StringIO object" https://github.com/numpy/numpy/issues/2230. """ try: return numpy.fromfile(self._fh, dtype, count, sep) except IOError: if count < 0: size = self._size else: size = count * numpy.dtype(dtype).itemsize data = self._fh.read(size) return numpy.fromstring(data, dtype, count, sep) def read_record(self, dtype, shape=1, byteorder=None): """Return numpy record from file.""" try: rec = numpy.rec.fromfile(self._fh, dtype, shape, byteorder=byteorder) except Exception: dtype = numpy.dtype(dtype) if shape is None: shape = self._size // dtype.itemsize size = product(sequence(shape)) * dtype.itemsize data = self._fh.read(size) return numpy.rec.fromstring(data, dtype, shape, byteorder=byteorder) return rec[0] if shape == 1 else rec def write_array(self, data): """Write numpy array to binary file.""" try: data.tofile(self._fh) except Exception: # BytesIO self._fh.write(data.tostring()) def tell(self): """Return file's current position.""" return self._fh.tell() - self._offset def seek(self, offset, whence=0): """Set file's current position.""" if self._offset: if whence == 0: self._fh.seek(self._offset + offset, whence) return elif whence == 2 and self._size > 0: self._fh.seek(self._offset + self._size + offset, 0) return self._fh.seek(offset, whence) def close(self): """Close file.""" if self._close and self._fh: self._fh.close() self._fh = None def __enter__(self): return self def __exit__(self, exc_type, exc_value, traceback): self.close() def __getattr__(self, name): """Return attribute from underlying file object.""" if self._offset: warnings.warn( "FileHandle: '%s' not implemented for embedded files" % name) return getattr(self._fh, name) @property def name(self): return self._name @property def dirname(self): return self._dir @property def path(self): return os.path.join(self._dir, self._name) @property def size(self): return self._size @property def closed(self): return self._fh is None def read_bytes(fh, byteorder, dtype, count): """Read tag data from file and return as byte string.""" dtype = 'b' if dtype[-1] == 's' else byteorder+dtype[-1] return fh.read_array(dtype, count).tostring() def read_numpy(fh, byteorder, dtype, count): """Read tag data from file and return as numpy array.""" dtype = 'b' if dtype[-1] == 's' else byteorder+dtype[-1] return fh.read_array(dtype, count) def read_json(fh, byteorder, dtype, count): """Read JSON tag data from file and return as object.""" data = fh.read(count) try: return json.loads(unicode(stripnull(data), 'utf-8')) except ValueError: warnings.warn("invalid JSON '%s'" % data) def read_mm_header(fh, byteorder, dtype, count): """Read MM_HEADER tag from file and return as numpy.rec.array.""" return fh.read_record(MM_HEADER, byteorder=byteorder) def read_mm_stamp(fh, byteorder, dtype, count): """Read MM_STAMP tag from file and return as numpy.ndarray.""" return fh.read_array(byteorder+'f8', 8) def read_uic1tag(fh, byteorder, dtype, count, plane_count=None): """Read MetaMorph STK UIC1Tag from file and return as dictionary. Return empty dictionary if plane_count is unknown. """ assert dtype in ('2I', '1I') and byteorder == '<' result = {} if dtype == '2I': # pre MetaMorph 2.5 (not tested) values = fh.read_array(' structure_size: break cz_lsm_info.append((name, dtype)) else: cz_lsm_info = CZ_LSM_INFO return fh.read_record(cz_lsm_info, byteorder=byteorder) def read_cz_lsm_floatpairs(fh): """Read LSM sequence of float pairs from file and return as list.""" size = struct.unpack(' 0: esize, etime, etype = struct.unpack(''}[fh.read(2)] except IndexError: raise ValueError("not a MicroManager TIFF file") results = {} fh.seek(8) (index_header, index_offset, display_header, display_offset, comments_header, comments_offset, summary_header, summary_length ) = struct.unpack(byteorder + "IIIIIIII", fh.read(32)) if summary_header != 2355492: raise ValueError("invalid MicroManager summary_header") results['summary'] = read_json(fh, byteorder, None, summary_length) if index_header != 54773648: raise ValueError("invalid MicroManager index_header") fh.seek(index_offset) header, count = struct.unpack(byteorder + "II", fh.read(8)) if header != 3453623: raise ValueError("invalid MicroManager index_header") data = struct.unpack(byteorder + "IIIII"*count, fh.read(20*count)) results['index_map'] = { 'channel': data[::5], 'slice': data[1::5], 'frame': data[2::5], 'position': data[3::5], 'offset': data[4::5]} if display_header != 483765892: raise ValueError("invalid MicroManager display_header") fh.seek(display_offset) header, count = struct.unpack(byteorder + "II", fh.read(8)) if header != 347834724: raise ValueError("invalid MicroManager display_header") results['display_settings'] = read_json(fh, byteorder, None, count) if comments_header != 99384722: raise ValueError("invalid MicroManager comments_header") fh.seek(comments_offset) header, count = struct.unpack(byteorder + "II", fh.read(8)) if header != 84720485: raise ValueError("invalid MicroManager comments_header") results['comments'] = read_json(fh, byteorder, None, count) return results def imagej_metadata(data, bytecounts, byteorder): """Return dictionary from ImageJ metadata tag value.""" _str = str if sys.version_info[0] < 3 else lambda x: str(x, 'cp1252') def read_string(data, byteorder): return _str(stripnull(data[0 if byteorder == '<' else 1::2])) def read_double(data, byteorder): return struct.unpack(byteorder+('d' * (len(data) // 8)), data) def read_bytes(data, byteorder): #return struct.unpack('b' * len(data), data) return numpy.fromstring(data, 'uint8') metadata_types = { # big endian b'info': ('info', read_string), b'labl': ('labels', read_string), b'rang': ('ranges', read_double), b'luts': ('luts', read_bytes), b'roi ': ('roi', read_bytes), b'over': ('overlays', read_bytes)} metadata_types.update( # little endian dict((k[::-1], v) for k, v in metadata_types.items())) if not bytecounts: raise ValueError("no ImageJ metadata") if not data[:4] in (b'IJIJ', b'JIJI'): raise ValueError("invalid ImageJ metadata") header_size = bytecounts[0] if header_size < 12 or header_size > 804: raise ValueError("invalid ImageJ metadata header size") ntypes = (header_size - 4) // 8 header = struct.unpack(byteorder+'4sI'*ntypes, data[4:4+ntypes*8]) pos = 4 + ntypes * 8 counter = 0 result = {} for mtype, count in zip(header[::2], header[1::2]): values = [] name, func = metadata_types.get(mtype, (_str(mtype), read_bytes)) for _ in range(count): counter += 1 pos1 = pos + bytecounts[counter] values.append(func(data[pos:pos1], byteorder)) pos = pos1 result[name.strip()] = values[0] if count == 1 else values return result def imagej_description_dict(description): """Return dictionary from ImageJ image description byte string. Raise ValueError if not a valid ImageJ description. >>> description = b'ImageJ=1.11a\\nimages=510\\nhyperstack=true\\n' >>> imagej_description_dict(description) # doctest: +SKIP {'ImageJ': '1.11a', 'images': 510, 'hyperstack': True} """ def _bool(val): return {b'true': True, b'false': False}[val.lower()] _str = str if sys.version_info[0] < 3 else lambda x: str(x, 'cp1252') result = {} for line in description.splitlines(): try: key, val = line.split(b'=') except Exception: continue key = key.strip() val = val.strip() for dtype in (int, float, _bool, _str): try: val = dtype(val) break except Exception: pass result[_str(key)] = val if 'ImageJ' not in result: raise ValueError("not a ImageJ image description") return result def imagej_description(shape, rgb=None, colormaped=False, version='1.11a', hyperstack=None, mode=None, loop=None, **kwargs): """Return ImageJ image decription from data shape as byte string. ImageJ can handle up to 6 dimensions in order TZCYXS. >>> imagej_description((51, 5, 2, 196, 171)) # doctest: +SKIP ImageJ=1.11a images=510 channels=2 slices=5 frames=51 hyperstack=true mode=grayscale loop=false """ if colormaped: raise NotImplementedError("ImageJ colormapping not supported") shape = imagej_shape(shape, rgb=rgb) rgb = shape[-1] in (3, 4) result = ['ImageJ=%s' % version] append = [] result.append('images=%i' % product(shape[:-3])) if hyperstack is None: #if product(shape[:-3]) > 1: hyperstack = True append.append('hyperstack=true') else: append.append('hyperstack=%s' % bool(hyperstack)) if shape[2] > 1: result.append('channels=%i' % shape[2]) if mode is None and not rgb: mode = 'grayscale' if hyperstack and mode: append.append('mode=%s' % mode) if shape[1] > 1: result.append('slices=%i' % shape[1]) if shape[0] > 1: result.append("frames=%i" % shape[0]) if loop is None: append.append('loop=false') if loop is not None: append.append('loop=%s' % bool(loop)) for key, value in kwargs.items(): append.append('%s=%s' % (key.lower(), value)) return str2bytes('\n'.join(result + append + [''])) def imagej_shape(shape, rgb=None): """Return shape normalized to 6D ImageJ hyperstack TZCYXS. Raise ValueError if not a valid ImageJ hyperstack shape. >>> imagej_shape((2, 3, 4, 5, 3), False) (2, 3, 4, 5, 3, 1) """ shape = tuple(int(i) for i in shape) ndim = len(shape) if 1 > ndim > 6: raise ValueError("invalid ImageJ hyperstack: not 2 to 6 dimensional") if rgb is None: rgb = shape[-1] in (3, 4) and ndim > 2 if rgb and shape[-1] not in (3, 4): raise ValueError("invalid ImageJ hyperstack: not a RGB image") if not rgb and ndim == 6 and shape[-1] != 1: raise ValueError("invalid ImageJ hyperstack: not a non-RGB image") if rgb or shape[-1] == 1: return (1, ) * (6 - ndim) + shape else: return (1, ) * (5 - ndim) + shape + (1,) def image_description_dict(description): """Return dictionary from image description byte string. Raise ValuError if description is of unknown format. >>> image_description_dict(b'shape=(256, 256, 3)') {'shape': (256, 256, 3)} >>> description = b'{"shape": [256, 256, 3], "axes": "YXS"}' >>> image_description_dict(description) # doctest: +SKIP {'shape': [256, 256, 3], 'axes': 'YXS'} """ if description.startswith(b'shape='): # old style 'shaped' description shape = tuple(int(i) for i in description[7:-1].split(b',')) return dict(shape=shape) if description.startswith(b'{') and description.endswith(b'}'): # JSON description return json.loads(description.decode('utf-8')) raise ValueError("unknown image description") def image_description(shape, colormaped=False, **metadata): """Return image description from data shape and meta data. Return UTF-8 encoded JSON. >>> image_description((256, 256, 3), axes='YXS') # doctest: +SKIP b'{"shape": [256, 256, 3], "axes": "YXS"}' """ if colormaped: shape = shape + (3,) metadata.update({'shape': shape}) return json.dumps(metadata).encode('utf-8') def _replace_by(module_function, package=__package__, warn=False): """Try replace decorated function by module.function.""" try: from importlib import import_module except ImportError: warnings.warn('could not import module importlib') return lambda func: func def decorate(func, module_function=module_function, warn=warn): try: module, function = module_function.split('.') if package: module = import_module('.' + module, package=package) else: module = import_module(module) func, oldfunc = getattr(module, function), func globals()['__old_' + func.__name__] = oldfunc except Exception: if warn: warnings.warn("failed to import %s" % module_function) return func return decorate def decode_floats(data): """Decode floating point horizontal differencing. The TIFF predictor type 3 reorders the bytes of the image values and applies horizontal byte differencing to improve compression of floating point images. The ordering of interleaved color channels is preserved. Parameters ---------- data : numpy.ndarray The image to be decoded. The dtype must be a floating point. The shape must include the number of contiguous samples per pixel even if 1. """ shape = data.shape dtype = data.dtype if len(shape) < 3: raise ValueError('invalid data shape') if dtype.char not in 'dfe': raise ValueError('not a floating point image') littleendian = data.dtype.byteorder == '<' or ( sys.byteorder == 'little' and data.dtype.byteorder == '=') # undo horizontal byte differencing data = data.view('uint8') data.shape = shape[:-2] + (-1,) + shape[-1:] numpy.cumsum(data, axis=-2, dtype='uint8', out=data) # reorder bytes if littleendian: data.shape = shape[:-2] + (-1,) + shape[-2:] data = numpy.swapaxes(data, -3, -2) data = numpy.swapaxes(data, -2, -1) data = data[..., ::-1] # back to float data = numpy.ascontiguousarray(data) data = data.view(dtype) data.shape = shape return data def decode_jpeg(encoded, tables=b'', photometric=None, ycbcr_subsampling=None, ycbcr_positioning=None): """Decode JPEG encoded byte string (using _czifile extension module).""" from czifile import _czifile image = _czifile.decode_jpeg(encoded, tables) if photometric == 'rgb' and ycbcr_subsampling and ycbcr_positioning: # TODO: convert YCbCr to RGB pass return image.tostring() @_replace_by('_tifffile.decode_packbits') def decode_packbits(encoded): """Decompress PackBits encoded byte string. PackBits is a simple byte-oriented run-length compression scheme. """ func = ord if sys.version[0] == '2' else lambda x: x result = [] result_extend = result.extend i = 0 try: while True: n = func(encoded[i]) + 1 i += 1 if n < 129: result_extend(encoded[i:i+n]) i += n elif n > 129: result_extend(encoded[i:i+1] * (258-n)) i += 1 except IndexError: pass return b''.join(result) if sys.version[0] == '2' else bytes(result) @_replace_by('_tifffile.decode_lzw') def decode_lzw(encoded): """Decompress LZW (Lempel-Ziv-Welch) encoded TIFF strip (byte string). The strip must begin with a CLEAR code and end with an EOI code. This is an implementation of the LZW decoding algorithm described in (1). It is not compatible with old style LZW compressed files like quad-lzw.tif. """ len_encoded = len(encoded) bitcount_max = len_encoded * 8 unpack = struct.unpack if sys.version[0] == '2': newtable = [chr(i) for i in range(256)] else: newtable = [bytes([i]) for i in range(256)] newtable.extend((0, 0)) def next_code(): """Return integer of 'bitw' bits at 'bitcount' position in encoded.""" start = bitcount // 8 s = encoded[start:start+4] try: code = unpack('>I', s)[0] except Exception: code = unpack('>I', s + b'\x00'*(4-len(s)))[0] code <<= bitcount % 8 code &= mask return code >> shr switchbitch = { # code: bit-width, shr-bits, bit-mask 255: (9, 23, int(9*'1'+'0'*23, 2)), 511: (10, 22, int(10*'1'+'0'*22, 2)), 1023: (11, 21, int(11*'1'+'0'*21, 2)), 2047: (12, 20, int(12*'1'+'0'*20, 2)), } bitw, shr, mask = switchbitch[255] bitcount = 0 if len_encoded < 4: raise ValueError("strip must be at least 4 characters long") if next_code() != 256: raise ValueError("strip must begin with CLEAR code") code = 0 oldcode = 0 result = [] result_append = result.append while True: code = next_code() # ~5% faster when inlining this function bitcount += bitw if code == 257 or bitcount >= bitcount_max: # EOI break if code == 256: # CLEAR table = newtable[:] table_append = table.append lentable = 258 bitw, shr, mask = switchbitch[255] code = next_code() bitcount += bitw if code == 257: # EOI break result_append(table[code]) else: if code < lentable: decoded = table[code] newcode = table[oldcode] + decoded[:1] else: newcode = table[oldcode] newcode += newcode[:1] decoded = newcode result_append(decoded) table_append(newcode) lentable += 1 oldcode = code if lentable in switchbitch: bitw, shr, mask = switchbitch[lentable] if code != 257: warnings.warn("unexpected end of lzw stream (code %i)" % code) return b''.join(result) @_replace_by('_tifffile.unpack_ints') def unpack_ints(data, dtype, itemsize, runlen=0): """Decompress byte string to array of integers of any bit size <= 32. Parameters ---------- data : byte str Data to decompress. dtype : numpy.dtype or str A numpy boolean or integer type. itemsize : int Number of bits per integer. runlen : int Number of consecutive integers, after which to start at next byte. """ if itemsize == 1: # bitarray data = numpy.fromstring(data, '|B') data = numpy.unpackbits(data) if runlen % 8: data = data.reshape(-1, runlen + (8 - runlen % 8)) data = data[:, :runlen].reshape(-1) return data.astype(dtype) dtype = numpy.dtype(dtype) if itemsize in (8, 16, 32, 64): return numpy.fromstring(data, dtype) if itemsize < 1 or itemsize > 32: raise ValueError("itemsize out of range: %i" % itemsize) if dtype.kind not in "biu": raise ValueError("invalid dtype") itembytes = next(i for i in (1, 2, 4, 8) if 8 * i >= itemsize) if itembytes != dtype.itemsize: raise ValueError("dtype.itemsize too small") if runlen == 0: runlen = len(data) // itembytes skipbits = runlen*itemsize % 8 if skipbits: skipbits = 8 - skipbits shrbits = itembytes*8 - itemsize bitmask = int(itemsize*'1'+'0'*shrbits, 2) dtypestr = '>' + dtype.char # dtype always big endian? unpack = struct.unpack l = runlen * (len(data)*8 // (runlen*itemsize + skipbits)) result = numpy.empty((l,), dtype) bitcount = 0 for i in range(len(result)): start = bitcount // 8 s = data[start:start+itembytes] try: code = unpack(dtypestr, s)[0] except Exception: code = unpack(dtypestr, s + b'\x00'*(itembytes-len(s)))[0] code <<= bitcount % 8 code &= bitmask result[i] = code >> shrbits bitcount += itemsize if (i+1) % runlen == 0: bitcount += skipbits return result def unpack_rgb(data, dtype='>> data = struct.pack('BBBB', 0x21, 0x08, 0xff, 0xff) >>> print(unpack_rgb(data, '>> print(unpack_rgb(data, '>> print(unpack_rgb(data, '= bits) data = numpy.fromstring(data, dtype.byteorder+dt) result = numpy.empty((data.size, len(bitspersample)), dtype.char) for i, bps in enumerate(bitspersample): t = data >> int(numpy.sum(bitspersample[i+1:])) t &= int('0b'+'1'*bps, 2) if rescale: o = ((dtype.itemsize * 8) // bps + 1) * bps if o > data.dtype.itemsize * 8: t = t.astype('I') t *= (2**o - 1) // (2**bps - 1) t //= 2**(o - (dtype.itemsize * 8)) result[:, i] = t return result.reshape(-1) @_replace_by('_tifffile.reverse_bitorder') def reverse_bitorder(data): """Reverse bits in each byte of byte string or numpy array. Decode data where pixels with lower column values are stored in the lower-order bits of the bytes (fill_order == 'lsb2msb'). Parameters ---------- data : byte string or ndarray The data to be bit reversed. If byte string, a new bit-reversed byte string is returned. Numpy arrays are bit-reversed in-place. Examples -------- >>> reverse_bitorder(b'\x01\x64') b'\x80&' >>> data = numpy.array([1, 666], dtype='uint16') >>> reverse_bitorder(data) >>> data array([ 128, 16473], dtype=uint16) """ try: # numpy array view = data.view('uint8') table = numpy.array([ 0x00, 0x80, 0x40, 0xC0, 0x20, 0xA0, 0x60, 0xE0, 0x10, 0x90, 0x50, 0xD0, 0x30, 0xB0, 0x70, 0xF0, 0x08, 0x88, 0x48, 0xC8, 0x28, 0xA8, 0x68, 0xE8, 0x18, 0x98, 0x58, 0xD8, 0x38, 0xB8, 0x78, 0xF8, 0x04, 0x84, 0x44, 0xC4, 0x24, 0xA4, 0x64, 0xE4, 0x14, 0x94, 0x54, 0xD4, 0x34, 0xB4, 0x74, 0xF4, 0x0C, 0x8C, 0x4C, 0xCC, 0x2C, 0xAC, 0x6C, 0xEC, 0x1C, 0x9C, 0x5C, 0xDC, 0x3C, 0xBC, 0x7C, 0xFC, 0x02, 0x82, 0x42, 0xC2, 0x22, 0xA2, 0x62, 0xE2, 0x12, 0x92, 0x52, 0xD2, 0x32, 0xB2, 0x72, 0xF2, 0x0A, 0x8A, 0x4A, 0xCA, 0x2A, 0xAA, 0x6A, 0xEA, 0x1A, 0x9A, 0x5A, 0xDA, 0x3A, 0xBA, 0x7A, 0xFA, 0x06, 0x86, 0x46, 0xC6, 0x26, 0xA6, 0x66, 0xE6, 0x16, 0x96, 0x56, 0xD6, 0x36, 0xB6, 0x76, 0xF6, 0x0E, 0x8E, 0x4E, 0xCE, 0x2E, 0xAE, 0x6E, 0xEE, 0x1E, 0x9E, 0x5E, 0xDE, 0x3E, 0xBE, 0x7E, 0xFE, 0x01, 0x81, 0x41, 0xC1, 0x21, 0xA1, 0x61, 0xE1, 0x11, 0x91, 0x51, 0xD1, 0x31, 0xB1, 0x71, 0xF1, 0x09, 0x89, 0x49, 0xC9, 0x29, 0xA9, 0x69, 0xE9, 0x19, 0x99, 0x59, 0xD9, 0x39, 0xB9, 0x79, 0xF9, 0x05, 0x85, 0x45, 0xC5, 0x25, 0xA5, 0x65, 0xE5, 0x15, 0x95, 0x55, 0xD5, 0x35, 0xB5, 0x75, 0xF5, 0x0D, 0x8D, 0x4D, 0xCD, 0x2D, 0xAD, 0x6D, 0xED, 0x1D, 0x9D, 0x5D, 0xDD, 0x3D, 0xBD, 0x7D, 0xFD, 0x03, 0x83, 0x43, 0xC3, 0x23, 0xA3, 0x63, 0xE3, 0x13, 0x93, 0x53, 0xD3, 0x33, 0xB3, 0x73, 0xF3, 0x0B, 0x8B, 0x4B, 0xCB, 0x2B, 0xAB, 0x6B, 0xEB, 0x1B, 0x9B, 0x5B, 0xDB, 0x3B, 0xBB, 0x7B, 0xFB, 0x07, 0x87, 0x47, 0xC7, 0x27, 0xA7, 0x67, 0xE7, 0x17, 0x97, 0x57, 0xD7, 0x37, 0xB7, 0x77, 0xF7, 0x0F, 0x8F, 0x4F, 0xCF, 0x2F, 0xAF, 0x6F, 0xEF, 0x1F, 0x9F, 0x5F, 0xDF, 0x3F, 0xBF, 0x7F, 0xFF], dtype='uint8') numpy.take(table, view, out=view) except AttributeError: # byte string # TODO: use string translate data = numpy.fromstring(data, dtype='uint8') reverse_bitorder(data) return data.tostring() def apply_colormap(image, colormap, contig=True): """Return palette-colored image. The image values are used to index the colormap on axis 1. The returned image is of shape image.shape+colormap.shape[0] and dtype colormap.dtype. Parameters ---------- image : numpy.ndarray Indexes into the colormap. colormap : numpy.ndarray RGB lookup table aka palette of shape (3, 2**bits_per_sample). contig : bool If True, return a contiguous array. Examples -------- >>> image = numpy.arange(256, dtype='uint8') >>> colormap = numpy.vstack([image, image, image]).astype('uint16') * 256 >>> apply_colormap(image, colormap)[-1] array([65280, 65280, 65280], dtype=uint16) """ image = numpy.take(colormap, image, axis=1) image = numpy.rollaxis(image, 0, image.ndim) if contig: image = numpy.ascontiguousarray(image) return image def reorient(image, orientation): """Return reoriented view of image array. Parameters ---------- image : numpy.ndarray Non-squeezed output of asarray() functions. Axes -3 and -2 must be image length and width respectively. orientation : int or str One of TIFF_ORIENTATIONS keys or values. """ o = TIFF_ORIENTATIONS.get(orientation, orientation) if o == 'top_left': return image elif o == 'top_right': return image[..., ::-1, :] elif o == 'bottom_left': return image[..., ::-1, :, :] elif o == 'bottom_right': return image[..., ::-1, ::-1, :] elif o == 'left_top': return numpy.swapaxes(image, -3, -2) elif o == 'right_top': return numpy.swapaxes(image, -3, -2)[..., ::-1, :] elif o == 'left_bottom': return numpy.swapaxes(image, -3, -2)[..., ::-1, :, :] elif o == 'right_bottom': return numpy.swapaxes(image, -3, -2)[..., ::-1, ::-1, :] def squeeze_axes(shape, axes, skip='XY'): """Return shape and axes with single-dimensional entries removed. Remove unused dimensions unless their axes are listed in 'skip'. >>> squeeze_axes((5, 1, 2, 1, 1), 'TZYXC') ((5, 2, 1), 'TYX') """ if len(shape) != len(axes): raise ValueError("dimensions of axes and shape do not match") shape, axes = zip(*(i for i in zip(shape, axes) if i[0] > 1 or i[1] in skip)) return tuple(shape), ''.join(axes) def transpose_axes(data, axes, asaxes='CTZYX'): """Return data with its axes permuted to match specified axes. A view is returned if possible. >>> transpose_axes(numpy.zeros((2, 3, 4, 5)), 'TYXC', asaxes='CTZYX').shape (5, 2, 1, 3, 4) """ for ax in axes: if ax not in asaxes: raise ValueError("unknown axis %s" % ax) # add missing axes to data shape = data.shape for ax in reversed(asaxes): if ax not in axes: axes = ax + axes shape = (1,) + shape data = data.reshape(shape) # transpose axes data = data.transpose([axes.index(ax) for ax in asaxes]) return data def reshape_axes(axes, shape, newshape): """Return axes matching new shape. Unknown dimensions are labelled 'Q'. >>> reshape_axes('YXS', (219, 301, 1), (219, 301)) 'YX' >>> reshape_axes('IYX', (12, 219, 301), (3, 4, 219, 1, 301, 1)) 'QQYQXQ' """ if len(axes) != len(shape): raise ValueError("axes do not match shape") if product(shape) != product(newshape): raise ValueError("can not reshape %s to %s" % (shape, newshape)) if not axes or not newshape: return '' lendiff = max(0, len(shape) - len(newshape)) if lendiff: newshape = newshape + (1,) * lendiff i = len(shape)-1 prodns = 1 prods = 1 result = [] for ns in newshape[::-1]: prodns *= ns while i > 0 and shape[i] == 1 and ns != 1: i -= 1 if ns == shape[i] and prodns == prods*shape[i]: prods *= shape[i] result.append(axes[i]) i -= 1 else: result.append('Q') return ''.join(reversed(result[lendiff:])) def stack_pages(pages, memmap=False, tempdir=None, *args, **kwargs): """Read data from sequence of TiffPage and stack them vertically. If memmap is True, return an array stored in a binary file on disk. Additional parameters are passsed to the page asarray function. """ if len(pages) == 0: raise ValueError("no pages") if len(pages) == 1: return pages[0].asarray(memmap=memmap, *args, **kwargs) data0 = pages[0].asarray(*args, **kwargs) shape = (len(pages),) + data0.shape if memmap: with tempfile.NamedTemporaryFile(dir=tempdir) as fh: data = numpy.memmap(fh, dtype=data0.dtype, shape=shape) else: data = numpy.empty(shape, dtype=data0.dtype) data[0] = data0 if memmap: data.flush() del data0 for i, page in enumerate(pages[1:]): data[i+1] = page.asarray(*args, **kwargs) if memmap: data.flush() return data def stripnull(string): """Return string truncated at first null character. Clean NULL terminated C strings. >>> stripnull(b'string\\x00') b'string' """ i = string.find(b'\x00') return string if (i < 0) else string[:i] def stripascii(string): """Return string truncated at last byte that is 7bit ASCII. Clean NULL separated and terminated TIFF strings. >>> stripascii(b'string\\x00string\\n\\x01\\x00') b'string\\x00string\\n' >>> stripascii(b'\\x00') b'' """ # TODO: pythonize this ord_ = ord if sys.version_info[0] < 3 else lambda x: x i = len(string) while i: i -= 1 if 8 < ord_(string[i]) < 127: break else: i = -1 return string[:i+1] def format_size(size): """Return file size as string from byte size.""" for unit in ('B', 'KB', 'MB', 'GB', 'TB'): if size < 2048: return "%.f %s" % (size, unit) size /= 1024.0 def sequence(value): """Return tuple containing value if value is not a sequence. >>> sequence(1) (1,) >>> sequence([1]) [1] """ try: len(value) return value except TypeError: return (value,) def product(iterable): """Return product of sequence of numbers. Equivalent of functools.reduce(operator.mul, iterable, 1). >>> product([2**8, 2**30]) 274877906944 >>> product([]) 1 """ prod = 1 for i in iterable: prod *= i return prod def natural_sorted(iterable): """Return human sorted list of strings. E.g. for sorting file names. >>> natural_sorted(['f1', 'f2', 'f10']) ['f1', 'f2', 'f10'] """ def sortkey(x): return [(int(c) if c.isdigit() else c) for c in re.split(numbers, x)] numbers = re.compile(r'(\d+)') return sorted(iterable, key=sortkey) def excel_datetime(timestamp, epoch=datetime.datetime.fromordinal(693594)): """Return datetime object from timestamp in Excel serial format. Convert LSM time stamps. >>> excel_datetime(40237.029999999795) datetime.datetime(2010, 2, 28, 0, 43, 11, 999982) """ return epoch + datetime.timedelta(timestamp) def julian_datetime(julianday, milisecond=0): """Return datetime from days since 1/1/4713 BC and ms since midnight. Convert Julian dates according to MetaMorph. >>> julian_datetime(2451576, 54362783) datetime.datetime(2000, 2, 2, 15, 6, 2, 783) """ if julianday <= 1721423: # no datetime before year 1 return None a = julianday + 1 if a > 2299160: alpha = math.trunc((a - 1867216.25) / 36524.25) a += 1 + alpha - alpha // 4 b = a + (1524 if a > 1721423 else 1158) c = math.trunc((b - 122.1) / 365.25) d = math.trunc(365.25 * c) e = math.trunc((b - d) / 30.6001) day = b - d - math.trunc(30.6001 * e) month = e - (1 if e < 13.5 else 13) year = c - (4716 if month > 2.5 else 4715) hour, milisecond = divmod(milisecond, 1000 * 60 * 60) minute, milisecond = divmod(milisecond, 1000 * 60) second, milisecond = divmod(milisecond, 1000) return datetime.datetime(year, month, day, hour, minute, second, milisecond) def test_tifffile(directory='testimages', verbose=True): """Read all images in directory. Print error message on failure. >>> test_tifffile(verbose=False) """ successful = 0 failed = 0 start = time.time() for f in glob.glob(os.path.join(directory, '*.*')): if verbose: print("\n%s>\n" % f.lower(), end='') t0 = time.time() try: tif = TiffFile(f, multifile=True) except Exception as e: if not verbose: print(f, end=' ') print("ERROR:", e) failed += 1 continue try: img = tif.asarray() except ValueError: try: img = tif[0].asarray() except Exception as e: if not verbose: print(f, end=' ') print("ERROR:", e) failed += 1 continue finally: tif.close() successful += 1 if verbose: print("%s, %s %s, %s, %.0f ms" % ( str(tif), str(img.shape), img.dtype, tif[0].compression, (time.time()-t0) * 1e3)) if verbose: print("\nSuccessfully read %i of %i files in %.3f s\n" % ( successful, successful+failed, time.time()-start)) class TIFF_SUBFILE_TYPES(object): def __getitem__(self, key): result = [] if key & 1: result.append('reduced_image') if key & 2: result.append('page') if key & 4: result.append('mask') return tuple(result) TIFF_PHOTOMETRICS = { 0: 'miniswhite', 1: 'minisblack', 2: 'rgb', 3: 'palette', 4: 'mask', 5: 'separated', # CMYK 6: 'ycbcr', 8: 'cielab', 9: 'icclab', 10: 'itulab', 32803: 'cfa', # Color Filter Array 32844: 'logl', 32845: 'logluv', 34892: 'linear_raw' } TIFF_COMPESSIONS = { 1: None, 2: 'ccittrle', 3: 'ccittfax3', 4: 'ccittfax4', 5: 'lzw', 6: 'ojpeg', 7: 'jpeg', 8: 'adobe_deflate', 9: 't85', 10: 't43', 32766: 'next', 32771: 'ccittrlew', 32773: 'packbits', 32809: 'thunderscan', 32895: 'it8ctpad', 32896: 'it8lw', 32897: 'it8mp', 32898: 'it8bl', 32908: 'pixarfilm', 32909: 'pixarlog', 32946: 'deflate', 32947: 'dcs', 34661: 'jbig', 34676: 'sgilog', 34677: 'sgilog24', 34712: 'jp2000', 34713: 'nef', 34925: 'lzma', } TIFF_DECOMPESSORS = { None: lambda x: x, 'adobe_deflate': zlib.decompress, 'deflate': zlib.decompress, 'packbits': decode_packbits, 'lzw': decode_lzw, # 'jpeg': decode_jpeg } if lzma: TIFF_DECOMPESSORS['lzma'] = lzma.decompress TIFF_DATA_TYPES = { 1: '1B', # BYTE 8-bit unsigned integer. 2: '1s', # ASCII 8-bit byte that contains a 7-bit ASCII code; # the last byte must be NULL (binary zero). 3: '1H', # SHORT 16-bit (2-byte) unsigned integer 4: '1I', # LONG 32-bit (4-byte) unsigned integer. 5: '2I', # RATIONAL Two LONGs: the first represents the numerator of # a fraction; the second, the denominator. 6: '1b', # SBYTE An 8-bit signed (twos-complement) integer. 7: '1s', # UNDEFINED An 8-bit byte that may contain anything, # depending on the definition of the field. 8: '1h', # SSHORT A 16-bit (2-byte) signed (twos-complement) integer. 9: '1i', # SLONG A 32-bit (4-byte) signed (twos-complement) integer. 10: '2i', # SRATIONAL Two SLONGs: the first represents the numerator # of a fraction, the second the denominator. 11: '1f', # FLOAT Single precision (4-byte) IEEE format. 12: '1d', # DOUBLE Double precision (8-byte) IEEE format. 13: '1I', # IFD unsigned 4 byte IFD offset. #14: '', # UNICODE #15: '', # COMPLEX 16: '1Q', # LONG8 unsigned 8 byte integer (BigTiff) 17: '1q', # SLONG8 signed 8 byte integer (BigTiff) 18: '1Q', # IFD8 unsigned 8 byte IFD offset (BigTiff) } TIFF_SAMPLE_FORMATS = { 1: 'uint', 2: 'int', 3: 'float', #4: 'void', #5: 'complex_int', 6: 'complex', } TIFF_SAMPLE_DTYPES = { ('uint', 1): '?', # bitmap ('uint', 2): 'B', ('uint', 3): 'B', ('uint', 4): 'B', ('uint', 5): 'B', ('uint', 6): 'B', ('uint', 7): 'B', ('uint', 8): 'B', ('uint', 9): 'H', ('uint', 10): 'H', ('uint', 11): 'H', ('uint', 12): 'H', ('uint', 13): 'H', ('uint', 14): 'H', ('uint', 15): 'H', ('uint', 16): 'H', ('uint', 17): 'I', ('uint', 18): 'I', ('uint', 19): 'I', ('uint', 20): 'I', ('uint', 21): 'I', ('uint', 22): 'I', ('uint', 23): 'I', ('uint', 24): 'I', ('uint', 25): 'I', ('uint', 26): 'I', ('uint', 27): 'I', ('uint', 28): 'I', ('uint', 29): 'I', ('uint', 30): 'I', ('uint', 31): 'I', ('uint', 32): 'I', ('uint', 64): 'Q', ('int', 8): 'b', ('int', 16): 'h', ('int', 32): 'i', ('int', 64): 'q', ('float', 16): 'e', ('float', 32): 'f', ('float', 64): 'd', ('complex', 64): 'F', ('complex', 128): 'D', ('uint', (5, 6, 5)): 'B', } TIFF_ORIENTATIONS = { 1: 'top_left', 2: 'top_right', 3: 'bottom_right', 4: 'bottom_left', 5: 'left_top', 6: 'right_top', 7: 'right_bottom', 8: 'left_bottom', } # TODO: is there a standard for character axes labels? AXES_LABELS = { 'X': 'width', 'Y': 'height', 'Z': 'depth', 'S': 'sample', # rgb(a) 'I': 'series', # general sequence, plane, page, IFD 'T': 'time', 'C': 'channel', # color, emission wavelength 'A': 'angle', 'P': 'phase', # formerly F # P is Position in LSM! 'R': 'tile', # region, point, mosaic 'H': 'lifetime', # histogram 'E': 'lambda', # excitation wavelength 'L': 'exposure', # lux 'V': 'event', 'Q': 'other', 'M': 'mosaic', # LSM 6 } AXES_LABELS.update(dict((v, k) for k, v in AXES_LABELS.items())) # Map OME pixel types to numpy dtype OME_PIXEL_TYPES = { 'int8': 'i1', 'int16': 'i2', 'int32': 'i4', 'uint8': 'u1', 'uint16': 'u2', 'uint32': 'u4', 'float': 'f4', # 'bit': 'bit', 'double': 'f8', 'complex': 'c8', 'double-complex': 'c16', } # NIH Image PicHeader v1.63 NIH_IMAGE_HEADER = [ ('fileid', 'a8'), ('nlines', 'i2'), ('pixelsperline', 'i2'), ('version', 'i2'), ('oldlutmode', 'i2'), ('oldncolors', 'i2'), ('colors', 'u1', (3, 32)), ('oldcolorstart', 'i2'), ('colorwidth', 'i2'), ('extracolors', 'u2', (6, 3)), ('nextracolors', 'i2'), ('foregroundindex', 'i2'), ('backgroundindex', 'i2'), ('xscale', 'f8'), ('_x0', 'i2'), ('_x1', 'i2'), ('units_t', 'i2'), # NIH_UNITS_TYPE ('p1', [('x', 'i2'), ('y', 'i2')]), ('p2', [('x', 'i2'), ('y', 'i2')]), ('curvefit_t', 'i2'), # NIH_CURVEFIT_TYPE ('ncoefficients', 'i2'), ('coeff', 'f8', 6), ('_um_len', 'u1'), ('um', 'a15'), ('_x2', 'u1'), ('binarypic', 'b1'), ('slicestart', 'i2'), ('sliceend', 'i2'), ('scalemagnification', 'f4'), ('nslices', 'i2'), ('slicespacing', 'f4'), ('currentslice', 'i2'), ('frameinterval', 'f4'), ('pixelaspectratio', 'f4'), ('colorstart', 'i2'), ('colorend', 'i2'), ('ncolors', 'i2'), ('fill1', '3u2'), ('fill2', '3u2'), ('colortable_t', 'u1'), # NIH_COLORTABLE_TYPE ('lutmode_t', 'u1'), # NIH_LUTMODE_TYPE ('invertedtable', 'b1'), ('zeroclip', 'b1'), ('_xunit_len', 'u1'), ('xunit', 'a11'), ('stacktype_t', 'i2'), # NIH_STACKTYPE_TYPE ] NIH_COLORTABLE_TYPE = ( 'CustomTable', 'AppleDefault', 'Pseudo20', 'Pseudo32', 'Rainbow', 'Fire1', 'Fire2', 'Ice', 'Grays', 'Spectrum') NIH_LUTMODE_TYPE = ( 'PseudoColor', 'OldAppleDefault', 'OldSpectrum', 'GrayScale', 'ColorLut', 'CustomGrayscale') NIH_CURVEFIT_TYPE = ( 'StraightLine', 'Poly2', 'Poly3', 'Poly4', 'Poly5', 'ExpoFit', 'PowerFit', 'LogFit', 'RodbardFit', 'SpareFit1', 'Uncalibrated', 'UncalibratedOD') NIH_UNITS_TYPE = ( 'Nanometers', 'Micrometers', 'Millimeters', 'Centimeters', 'Meters', 'Kilometers', 'Inches', 'Feet', 'Miles', 'Pixels', 'OtherUnits') NIH_STACKTYPE_TYPE = ( 'VolumeStack', 'RGBStack', 'MovieStack', 'HSVStack') # Map Universal Imaging Corporation MetaMorph internal tag ids to name and type UIC_TAGS = { 0: ('auto_scale', int), 1: ('min_scale', int), 2: ('max_scale', int), 3: ('spatial_calibration', int), 4: ('x_calibration', Fraction), 5: ('y_calibration', Fraction), 6: ('calibration_units', str), 7: ('name', str), 8: ('thresh_state', int), 9: ('thresh_state_red', int), 10: ('tagid_10', None), # undefined 11: ('thresh_state_green', int), 12: ('thresh_state_blue', int), 13: ('thresh_state_lo', int), 14: ('thresh_state_hi', int), 15: ('zoom', int), 16: ('create_time', julian_datetime), 17: ('last_saved_time', julian_datetime), 18: ('current_buffer', int), 19: ('gray_fit', None), 20: ('gray_point_count', None), 21: ('gray_x', Fraction), 22: ('gray_y', Fraction), 23: ('gray_min', Fraction), 24: ('gray_max', Fraction), 25: ('gray_unit_name', str), 26: ('standard_lut', int), 27: ('wavelength', int), 28: ('stage_position', '(%i,2,2)u4'), # N xy positions as fractions 29: ('camera_chip_offset', '(%i,2,2)u4'), # N xy offsets as fractions 30: ('overlay_mask', None), 31: ('overlay_compress', None), 32: ('overlay', None), 33: ('special_overlay_mask', None), 34: ('special_overlay_compress', None), 35: ('special_overlay', None), 36: ('image_property', read_uic_image_property), 37: ('stage_label', '%ip'), # N str 38: ('autoscale_lo_info', Fraction), 39: ('autoscale_hi_info', Fraction), 40: ('absolute_z', '(%i,2)u4'), # N fractions 41: ('absolute_z_valid', '(%i,)u4'), # N long 42: ('gamma', int), 43: ('gamma_red', int), 44: ('gamma_green', int), 45: ('gamma_blue', int), 46: ('camera_bin', int), 47: ('new_lut', int), 48: ('image_property_ex', None), 49: ('plane_property', int), 50: ('user_lut_table', '(256,3)u1'), 51: ('red_autoscale_info', int), 52: ('red_autoscale_lo_info', Fraction), 53: ('red_autoscale_hi_info', Fraction), 54: ('red_minscale_info', int), 55: ('red_maxscale_info', int), 56: ('green_autoscale_info', int), 57: ('green_autoscale_lo_info', Fraction), 58: ('green_autoscale_hi_info', Fraction), 59: ('green_minscale_info', int), 60: ('green_maxscale_info', int), 61: ('blue_autoscale_info', int), 62: ('blue_autoscale_lo_info', Fraction), 63: ('blue_autoscale_hi_info', Fraction), 64: ('blue_min_scale_info', int), 65: ('blue_max_scale_info', int), #66: ('overlay_plane_color', read_uic_overlay_plane_color), } # Olympus FluoView MM_DIMENSION = [ ('name', 'a16'), ('size', 'i4'), ('origin', 'f8'), ('resolution', 'f8'), ('unit', 'a64'), ] MM_HEADER = [ ('header_flag', 'i2'), ('image_type', 'u1'), ('image_name', 'a257'), ('offset_data', 'u4'), ('palette_size', 'i4'), ('offset_palette0', 'u4'), ('offset_palette1', 'u4'), ('comment_size', 'i4'), ('offset_comment', 'u4'), ('dimensions', MM_DIMENSION, 10), ('offset_position', 'u4'), ('map_type', 'i2'), ('map_min', 'f8'), ('map_max', 'f8'), ('min_value', 'f8'), ('max_value', 'f8'), ('offset_map', 'u4'), ('gamma', 'f8'), ('offset', 'f8'), ('gray_channel', MM_DIMENSION), ('offset_thumbnail', 'u4'), ('voice_field', 'i4'), ('offset_voice_field', 'u4'), ] # Carl Zeiss LSM CZ_LSM_INFO = [ ('magic_number', 'u4'), ('structure_size', 'i4'), ('dimension_x', 'i4'), ('dimension_y', 'i4'), ('dimension_z', 'i4'), ('dimension_channels', 'i4'), ('dimension_time', 'i4'), ('data_type', 'i4'), # CZ_DATA_TYPES ('thumbnail_x', 'i4'), ('thumbnail_y', 'i4'), ('voxel_size_x', 'f8'), ('voxel_size_y', 'f8'), ('voxel_size_z', 'f8'), ('origin_x', 'f8'), ('origin_y', 'f8'), ('origin_z', 'f8'), ('scan_type', 'u2'), ('spectral_scan', 'u2'), ('type_of_data', 'u4'), # CZ_TYPE_OF_DATA ('offset_vector_overlay', 'u4'), ('offset_input_lut', 'u4'), ('offset_output_lut', 'u4'), ('offset_channel_colors', 'u4'), ('time_interval', 'f8'), ('offset_channel_data_types', 'u4'), ('offset_scan_info', 'u4'), # CZ_LSM_SCAN_INFO ('offset_ks_data', 'u4'), ('offset_time_stamps', 'u4'), ('offset_event_list', 'u4'), ('offset_roi', 'u4'), ('offset_bleach_roi', 'u4'), ('offset_next_recording', 'u4'), # LSM 2.0 ends here ('display_aspect_x', 'f8'), ('display_aspect_y', 'f8'), ('display_aspect_z', 'f8'), ('display_aspect_time', 'f8'), ('offset_mean_of_roi_overlay', 'u4'), ('offset_topo_isoline_overlay', 'u4'), ('offset_topo_profile_overlay', 'u4'), ('offset_linescan_overlay', 'u4'), ('offset_toolbar_flags', 'u4'), ('offset_channel_wavelength', 'u4'), ('offset_channel_factors', 'u4'), ('objective_sphere_correction', 'f8'), ('offset_unmix_parameters', 'u4'), # LSM 3.2, 4.0 end here ('offset_acquisition_parameters', 'u4'), ('offset_characteristics', 'u4'), ('offset_palette', 'u4'), ('time_difference_x', 'f8'), ('time_difference_y', 'f8'), ('time_difference_z', 'f8'), ('internal_use_1', 'u4'), ('dimension_p', 'i4'), ('dimension_m', 'i4'), ('dimensions_reserved', '16i4'), ('offset_tile_positions', 'u4'), ('reserved_1', '9u4'), ('offset_positions', 'u4'), ('reserved_2', '21u4'), # must be 0 ] # Import functions for LSM_INFO sub-records CZ_LSM_INFO_READERS = { 'scan_info': read_cz_lsm_scan_info, 'time_stamps': read_cz_lsm_time_stamps, 'event_list': read_cz_lsm_event_list, 'channel_colors': read_cz_lsm_floatpairs, 'positions': read_cz_lsm_floatpairs, 'tile_positions': read_cz_lsm_floatpairs, } # Map cz_lsm_info.scan_type to dimension order CZ_SCAN_TYPES = { 0: 'XYZCT', # x-y-z scan 1: 'XYZCT', # z scan (x-z plane) 2: 'XYZCT', # line scan 3: 'XYTCZ', # time series x-y 4: 'XYZTC', # time series x-z 5: 'XYTCZ', # time series 'Mean of ROIs' 6: 'XYZTC', # time series x-y-z 7: 'XYCTZ', # spline scan 8: 'XYCZT', # spline scan x-z 9: 'XYTCZ', # time series spline plane x-z 10: 'XYZCT', # point mode } # Map dimension codes to cz_lsm_info attribute CZ_DIMENSIONS = { 'X': 'dimension_x', 'Y': 'dimension_y', 'Z': 'dimension_z', 'C': 'dimension_channels', 'T': 'dimension_time', 'P': 'dimension_p', 'M': 'dimension_m', } # Description of cz_lsm_info.data_type CZ_DATA_TYPES = { 0: 'varying data types', 1: '8 bit unsigned integer', 2: '12 bit unsigned integer', 5: '32 bit float', } # Description of cz_lsm_info.type_of_data CZ_TYPE_OF_DATA = { 0: 'Original scan data', 1: 'Calculated data', 2: '3D reconstruction', 3: 'Topography height map', } CZ_LSM_SCAN_INFO_ARRAYS = { 0x20000000: "tracks", 0x30000000: "lasers", 0x60000000: "detection_channels", 0x80000000: "illumination_channels", 0xa0000000: "beam_splitters", 0xc0000000: "data_channels", 0x11000000: "timers", 0x13000000: "markers", } CZ_LSM_SCAN_INFO_STRUCTS = { # 0x10000000: "recording", 0x40000000: "track", 0x50000000: "laser", 0x70000000: "detection_channel", 0x90000000: "illumination_channel", 0xb0000000: "beam_splitter", 0xd0000000: "data_channel", 0x12000000: "timer", 0x14000000: "marker", } CZ_LSM_SCAN_INFO_ATTRIBUTES = { # recording 0x10000001: "name", 0x10000002: "description", 0x10000003: "notes", 0x10000004: "objective", 0x10000005: "processing_summary", 0x10000006: "special_scan_mode", 0x10000007: "scan_type", 0x10000008: "scan_mode", 0x10000009: "number_of_stacks", 0x1000000a: "lines_per_plane", 0x1000000b: "samples_per_line", 0x1000000c: "planes_per_volume", 0x1000000d: "images_width", 0x1000000e: "images_height", 0x1000000f: "images_number_planes", 0x10000010: "images_number_stacks", 0x10000011: "images_number_channels", 0x10000012: "linscan_xy_size", 0x10000013: "scan_direction", 0x10000014: "time_series", 0x10000015: "original_scan_data", 0x10000016: "zoom_x", 0x10000017: "zoom_y", 0x10000018: "zoom_z", 0x10000019: "sample_0x", 0x1000001a: "sample_0y", 0x1000001b: "sample_0z", 0x1000001c: "sample_spacing", 0x1000001d: "line_spacing", 0x1000001e: "plane_spacing", 0x1000001f: "plane_width", 0x10000020: "plane_height", 0x10000021: "volume_depth", 0x10000023: "nutation", 0x10000034: "rotation", 0x10000035: "precession", 0x10000036: "sample_0time", 0x10000037: "start_scan_trigger_in", 0x10000038: "start_scan_trigger_out", 0x10000039: "start_scan_event", 0x10000040: "start_scan_time", 0x10000041: "stop_scan_trigger_in", 0x10000042: "stop_scan_trigger_out", 0x10000043: "stop_scan_event", 0x10000044: "stop_scan_time", 0x10000045: "use_rois", 0x10000046: "use_reduced_memory_rois", 0x10000047: "user", 0x10000048: "use_bc_correction", 0x10000049: "position_bc_correction1", 0x10000050: "position_bc_correction2", 0x10000051: "interpolation_y", 0x10000052: "camera_binning", 0x10000053: "camera_supersampling", 0x10000054: "camera_frame_width", 0x10000055: "camera_frame_height", 0x10000056: "camera_offset_x", 0x10000057: "camera_offset_y", 0x10000059: "rt_binning", 0x1000005a: "rt_frame_width", 0x1000005b: "rt_frame_height", 0x1000005c: "rt_region_width", 0x1000005d: "rt_region_height", 0x1000005e: "rt_offset_x", 0x1000005f: "rt_offset_y", 0x10000060: "rt_zoom", 0x10000061: "rt_line_period", 0x10000062: "prescan", 0x10000063: "scan_direction_z", # track 0x40000001: "multiplex_type", # 0 after line; 1 after frame 0x40000002: "multiplex_order", 0x40000003: "sampling_mode", # 0 sample; 1 line average; 2 frame average 0x40000004: "sampling_method", # 1 mean; 2 sum 0x40000005: "sampling_number", 0x40000006: "acquire", 0x40000007: "sample_observation_time", 0x4000000b: "time_between_stacks", 0x4000000c: "name", 0x4000000d: "collimator1_name", 0x4000000e: "collimator1_position", 0x4000000f: "collimator2_name", 0x40000010: "collimator2_position", 0x40000011: "is_bleach_track", 0x40000012: "is_bleach_after_scan_number", 0x40000013: "bleach_scan_number", 0x40000014: "trigger_in", 0x40000015: "trigger_out", 0x40000016: "is_ratio_track", 0x40000017: "bleach_count", 0x40000018: "spi_center_wavelength", 0x40000019: "pixel_time", 0x40000021: "condensor_frontlens", 0x40000023: "field_stop_value", 0x40000024: "id_condensor_aperture", 0x40000025: "condensor_aperture", 0x40000026: "id_condensor_revolver", 0x40000027: "condensor_filter", 0x40000028: "id_transmission_filter1", 0x40000029: "id_transmission1", 0x40000030: "id_transmission_filter2", 0x40000031: "id_transmission2", 0x40000032: "repeat_bleach", 0x40000033: "enable_spot_bleach_pos", 0x40000034: "spot_bleach_posx", 0x40000035: "spot_bleach_posy", 0x40000036: "spot_bleach_posz", 0x40000037: "id_tubelens", 0x40000038: "id_tubelens_position", 0x40000039: "transmitted_light", 0x4000003a: "reflected_light", 0x4000003b: "simultan_grab_and_bleach", 0x4000003c: "bleach_pixel_time", # laser 0x50000001: "name", 0x50000002: "acquire", 0x50000003: "power", # detection_channel 0x70000001: "integration_mode", 0x70000002: "special_mode", 0x70000003: "detector_gain_first", 0x70000004: "detector_gain_last", 0x70000005: "amplifier_gain_first", 0x70000006: "amplifier_gain_last", 0x70000007: "amplifier_offs_first", 0x70000008: "amplifier_offs_last", 0x70000009: "pinhole_diameter", 0x7000000a: "counting_trigger", 0x7000000b: "acquire", 0x7000000c: "point_detector_name", 0x7000000d: "amplifier_name", 0x7000000e: "pinhole_name", 0x7000000f: "filter_set_name", 0x70000010: "filter_name", 0x70000013: "integrator_name", 0x70000014: "channel_name", 0x70000015: "detector_gain_bc1", 0x70000016: "detector_gain_bc2", 0x70000017: "amplifier_gain_bc1", 0x70000018: "amplifier_gain_bc2", 0x70000019: "amplifier_offset_bc1", 0x70000020: "amplifier_offset_bc2", 0x70000021: "spectral_scan_channels", 0x70000022: "spi_wavelength_start", 0x70000023: "spi_wavelength_stop", 0x70000026: "dye_name", 0x70000027: "dye_folder", # illumination_channel 0x90000001: "name", 0x90000002: "power", 0x90000003: "wavelength", 0x90000004: "aquire", 0x90000005: "detchannel_name", 0x90000006: "power_bc1", 0x90000007: "power_bc2", # beam_splitter 0xb0000001: "filter_set", 0xb0000002: "filter", 0xb0000003: "name", # data_channel 0xd0000001: "name", 0xd0000003: "acquire", 0xd0000004: "color", 0xd0000005: "sample_type", 0xd0000006: "bits_per_sample", 0xd0000007: "ratio_type", 0xd0000008: "ratio_track1", 0xd0000009: "ratio_track2", 0xd000000a: "ratio_channel1", 0xd000000b: "ratio_channel2", 0xd000000c: "ratio_const1", 0xd000000d: "ratio_const2", 0xd000000e: "ratio_const3", 0xd000000f: "ratio_const4", 0xd0000010: "ratio_const5", 0xd0000011: "ratio_const6", 0xd0000012: "ratio_first_images1", 0xd0000013: "ratio_first_images2", 0xd0000014: "dye_name", 0xd0000015: "dye_folder", 0xd0000016: "spectrum", 0xd0000017: "acquire", # timer 0x12000001: "name", 0x12000002: "description", 0x12000003: "interval", 0x12000004: "trigger_in", 0x12000005: "trigger_out", 0x12000006: "activation_time", 0x12000007: "activation_number", # marker 0x14000001: "name", 0x14000002: "description", 0x14000003: "trigger_in", 0x14000004: "trigger_out", } # Map TIFF tag code to attribute name, default value, type, count, validator TIFF_TAGS = { 254: ('new_subfile_type', 0, 4, 1, TIFF_SUBFILE_TYPES()), 255: ('subfile_type', None, 3, 1, {0: 'undefined', 1: 'image', 2: 'reduced_image', 3: 'page'}), 256: ('image_width', None, 4, 1, None), 257: ('image_length', None, 4, 1, None), 258: ('bits_per_sample', 1, 3, None, None), 259: ('compression', 1, 3, 1, TIFF_COMPESSIONS), 262: ('photometric', None, 3, 1, TIFF_PHOTOMETRICS), 266: ('fill_order', 1, 3, 1, {1: 'msb2lsb', 2: 'lsb2msb'}), 269: ('document_name', None, 2, None, None), 270: ('image_description', None, 2, None, None), 271: ('make', None, 2, None, None), 272: ('model', None, 2, None, None), 273: ('strip_offsets', None, 4, None, None), 274: ('orientation', 1, 3, 1, TIFF_ORIENTATIONS), 277: ('samples_per_pixel', 1, 3, 1, None), 278: ('rows_per_strip', 2**32-1, 4, 1, None), 279: ('strip_byte_counts', None, 4, None, None), 280: ('min_sample_value', None, 3, None, None), 281: ('max_sample_value', None, 3, None, None), # 2**bits_per_sample 282: ('x_resolution', None, 5, 1, None), 283: ('y_resolution', None, 5, 1, None), 284: ('planar_configuration', 1, 3, 1, {1: 'contig', 2: 'separate'}), 285: ('page_name', None, 2, None, None), 286: ('x_position', None, 5, 1, None), 287: ('y_position', None, 5, 1, None), 296: ('resolution_unit', 2, 4, 1, {1: 'none', 2: 'inch', 3: 'centimeter'}), 297: ('page_number', None, 3, 2, None), 305: ('software', None, 2, None, None), 306: ('datetime', None, 2, None, None), 315: ('artist', None, 2, None, None), 316: ('host_computer', None, 2, None, None), 317: ('predictor', 1, 3, 1, {1: None, 2: 'horizontal', 3: 'float'}), 318: ('white_point', None, 5, 2, None), 319: ('primary_chromaticities', None, 5, 6, None), 320: ('color_map', None, 3, None, None), 322: ('tile_width', None, 4, 1, None), 323: ('tile_length', None, 4, 1, None), 324: ('tile_offsets', None, 4, None, None), 325: ('tile_byte_counts', None, 4, None, None), 338: ('extra_samples', None, 3, None, {0: 'unspecified', 1: 'assocalpha', 2: 'unassalpha'}), 339: ('sample_format', 1, 3, None, TIFF_SAMPLE_FORMATS), 340: ('smin_sample_value', None, None, None, None), 341: ('smax_sample_value', None, None, None, None), 346: ('indexed', 0, 3, 1, None), 347: ('jpeg_tables', None, 7, None, None), 530: ('ycbcr_subsampling', (1, 1), 3, 2, None), 531: ('ycbcr_positioning', (1, 1), 3, 1, None), 532: ('reference_black_white', None, 5, 1, None), 32996: ('sgi_matteing', None, None, 1, None), # use extra_samples 32996: ('sgi_datatype', None, None, None, None), # use sample_format 32997: ('image_depth', 1, 4, 1, None), 32998: ('tile_depth', None, 4, 1, None), 33432: ('copyright', None, 1, None, None), 33445: ('md_file_tag', None, 4, 1, None), 33446: ('md_scale_pixel', None, 5, 1, None), 33447: ('md_color_table', None, 3, None, None), 33448: ('md_lab_name', None, 2, None, None), 33449: ('md_sample_info', None, 2, None, None), 33450: ('md_prep_date', None, 2, None, None), 33451: ('md_prep_time', None, 2, None, None), 33452: ('md_file_units', None, 2, None, None), 33550: ('model_pixel_scale', None, 12, 3, None), 33922: ('model_tie_point', None, 12, None, None), 34665: ('exif_ifd', None, None, 1, None), 34735: ('geo_key_directory', None, 3, None, None), 34736: ('geo_double_params', None, 12, None, None), 34737: ('geo_ascii_params', None, 2, None, None), 34853: ('gps_ifd', None, None, 1, None), 37510: ('user_comment', None, None, None, None), 42112: ('gdal_metadata', None, 2, None, None), 42113: ('gdal_nodata', None, 2, None, None), 50289: ('mc_xy_position', None, 12, 2, None), 50290: ('mc_z_position', None, 12, 1, None), 50291: ('mc_xy_calibration', None, 12, 3, None), 50292: ('mc_lens_lem_na_n', None, 12, 3, None), 50293: ('mc_channel_name', None, 1, None, None), 50294: ('mc_ex_wavelength', None, 12, 1, None), 50295: ('mc_time_stamp', None, 12, 1, None), 50838: ('imagej_byte_counts', None, None, None, None), 51023: ('fibics_xml', None, 2, None, None), 65200: ('flex_xml', None, 2, None, None), # code: (attribute name, default value, type, count, validator) } # Map custom TIFF tag codes to attribute names and import functions CUSTOM_TAGS = { 700: ('xmp', read_bytes), 34377: ('photoshop', read_numpy), 33723: ('iptc', read_bytes), 34675: ('icc_profile', read_bytes), 33628: ('uic1tag', read_uic1tag), # Universal Imaging Corporation STK 33629: ('uic2tag', read_uic2tag), 33630: ('uic3tag', read_uic3tag), 33631: ('uic4tag', read_uic4tag), 34361: ('mm_header', read_mm_header), # Olympus FluoView 34362: ('mm_stamp', read_mm_stamp), 34386: ('mm_user_block', read_bytes), 34412: ('cz_lsm_info', read_cz_lsm_info), # Carl Zeiss LSM 43314: ('nih_image_header', read_nih_image_header), # 40001: ('mc_ipwinscal', read_bytes), 40100: ('mc_id_old', read_bytes), 50288: ('mc_id', read_bytes), 50296: ('mc_frame_properties', read_bytes), 50839: ('imagej_metadata', read_bytes), 51123: ('micromanager_metadata', read_json), } # Max line length of printed output PRINT_LINE_LEN = 79 def imshow(data, title=None, vmin=0, vmax=None, cmap=None, bitspersample=None, photometric='rgb', interpolation='nearest', dpi=96, figure=None, subplot=111, maxdim=8192, **kwargs): """Plot n-dimensional images using matplotlib.pyplot. Return figure, subplot and plot axis. Requires pyplot already imported `from matplotlib import pyplot`. Parameters ---------- bitspersample : int or None Number of bits per channel in integer RGB images. photometric : {'miniswhite', 'minisblack', 'rgb', or 'palette'} The color space of the image data. title : str Window and subplot title. figure : matplotlib.figure.Figure (optional). Matplotlib to use for plotting. subplot : int A matplotlib.pyplot.subplot axis. maxdim : int maximum image width and length. kwargs : optional Arguments for matplotlib.pyplot.imshow. """ #if photometric not in ('miniswhite', 'minisblack', 'rgb', 'palette'): # raise ValueError("Can not handle %s photometrics" % photometric) # TODO: handle photometric == 'separated' (CMYK) isrgb = photometric in ('rgb', 'palette') data = numpy.atleast_2d(data.squeeze()) dims = data.ndim if dims < 2: raise ValueError("not an image") elif dims == 2: dims = 0 isrgb = False else: if isrgb and data.shape[-3] in (3, 4): data = numpy.swapaxes(data, -3, -2) data = numpy.swapaxes(data, -2, -1) elif not isrgb and (data.shape[-1] < data.shape[-2] // 8 and data.shape[-1] < data.shape[-3] // 8 and data.shape[-1] < 5): data = numpy.swapaxes(data, -3, -1) data = numpy.swapaxes(data, -2, -1) isrgb = isrgb and data.shape[-1] in (3, 4) dims -= 3 if isrgb else 2 if isrgb: data = data[..., :maxdim, :maxdim, :maxdim] else: data = data[..., :maxdim, :maxdim] if photometric == 'palette' and isrgb: datamax = data.max() if datamax > 255: data >>= 8 # possible precision loss data = data.astype('B') elif data.dtype.kind in 'ui': if not (isrgb and data.dtype.itemsize <= 1) or bitspersample is None: try: bitspersample = int(math.ceil(math.log(data.max(), 2))) except Exception: bitspersample = data.dtype.itemsize * 8 elif not isinstance(bitspersample, int): # bitspersample can be tuple, e.g. (5, 6, 5) bitspersample = data.dtype.itemsize * 8 datamax = 2**bitspersample if isrgb: if bitspersample < 8: data <<= 8 - bitspersample elif bitspersample > 8: data >>= bitspersample - 8 # precision loss data = data.astype('B') elif data.dtype.kind == 'f': datamax = data.max() if isrgb and datamax > 1.0: if data.dtype.char == 'd': data = data.astype('f') data /= datamax elif data.dtype.kind == 'b': datamax = 1 elif data.dtype.kind == 'c': # TODO: handle complex types raise NotImplementedError("complex type") if not isrgb: if vmax is None: vmax = datamax if vmin is None: if data.dtype.kind == 'i': dtmin = numpy.iinfo(data.dtype).min vmin = numpy.min(data) if vmin == dtmin: vmin = numpy.min(data > dtmin) if data.dtype.kind == 'f': dtmin = numpy.finfo(data.dtype).min vmin = numpy.min(data) if vmin == dtmin: vmin = numpy.min(data > dtmin) else: vmin = 0 pyplot = sys.modules['matplotlib.pyplot'] if figure is None: pyplot.rc('font', family='sans-serif', weight='normal', size=8) figure = pyplot.figure(dpi=dpi, figsize=(10.3, 6.3), frameon=True, facecolor='1.0', edgecolor='w') try: figure.canvas.manager.window.title(title) except Exception: pass pyplot.subplots_adjust(bottom=0.03*(dims+2), top=0.9, left=0.1, right=0.95, hspace=0.05, wspace=0.0) subplot = pyplot.subplot(subplot) if title: try: title = unicode(title, 'Windows-1252') except TypeError: pass pyplot.title(title, size=11) if cmap is None: if data.dtype.kind in 'ubf' or vmin == 0: cmap = 'cubehelix' else: cmap = 'coolwarm' if photometric == 'miniswhite': cmap += '_r' image = pyplot.imshow(data[(0,) * dims].squeeze(), vmin=vmin, vmax=vmax, cmap=cmap, interpolation=interpolation, **kwargs) if not isrgb: pyplot.colorbar() # panchor=(0.55, 0.5), fraction=0.05 def format_coord(x, y): # callback function to format coordinate display in toolbar x = int(x + 0.5) y = int(y + 0.5) try: if dims: return "%s @ %s [%4i, %4i]" % (cur_ax_dat[1][y, x], current, x, y) else: return "%s @ [%4i, %4i]" % (data[y, x], x, y) except IndexError: return "" pyplot.gca().format_coord = format_coord if dims: current = list((0,) * dims) cur_ax_dat = [0, data[tuple(current)].squeeze()] sliders = [pyplot.Slider( pyplot.axes([0.125, 0.03*(axis+1), 0.725, 0.025]), 'Dimension %i' % axis, 0, data.shape[axis]-1, 0, facecolor='0.5', valfmt='%%.0f [%i]' % data.shape[axis]) for axis in range(dims)] for slider in sliders: slider.drawon = False def set_image(current, sliders=sliders, data=data): # change image and redraw canvas cur_ax_dat[1] = data[tuple(current)].squeeze() image.set_data(cur_ax_dat[1]) for ctrl, index in zip(sliders, current): ctrl.eventson = False ctrl.set_val(index) ctrl.eventson = True figure.canvas.draw() def on_changed(index, axis, data=data, current=current): # callback function for slider change event index = int(round(index)) cur_ax_dat[0] = axis if index == current[axis]: return if index >= data.shape[axis]: index = 0 elif index < 0: index = data.shape[axis] - 1 current[axis] = index set_image(current) def on_keypressed(event, data=data, current=current): # callback function for key press event key = event.key axis = cur_ax_dat[0] if str(key) in '0123456789': on_changed(key, axis) elif key == 'right': on_changed(current[axis] + 1, axis) elif key == 'left': on_changed(current[axis] - 1, axis) elif key == 'up': cur_ax_dat[0] = 0 if axis == len(data.shape)-1 else axis + 1 elif key == 'down': cur_ax_dat[0] = len(data.shape)-1 if axis == 0 else axis - 1 elif key == 'end': on_changed(data.shape[axis] - 1, axis) elif key == 'home': on_changed(0, axis) figure.canvas.mpl_connect('key_press_event', on_keypressed) for axis, ctrl in enumerate(sliders): ctrl.on_changed(lambda k, a=axis: on_changed(k, a)) return figure, subplot, image def _app_show(): """Block the GUI. For use as skimage plugin.""" pyplot = sys.modules['matplotlib.pyplot'] pyplot.show() def askopenfilename(**kwargs): """Return file name(s) from Tkinter's file open dialog.""" try: from Tkinter import Tk import tkFileDialog as filedialog except ImportError: from tkinter import Tk, filedialog root = Tk() root.withdraw() root.update() filenames = filedialog.askopenfilename(**kwargs) root.destroy() return filenames def main(argv=None): """Command line usage main function.""" if float(sys.version[0:3]) < 2.6: print("This script requires Python version 2.6 or better.") print("This is Python version %s" % sys.version) return 0 if argv is None: argv = sys.argv import optparse parser = optparse.OptionParser( usage="usage: %prog [options] path", description="Display image data in TIFF files.", version="%%prog %s" % __version__) opt = parser.add_option opt('-p', '--page', dest='page', type='int', default=-1, help="display single page") opt('-s', '--series', dest='series', type='int', default=-1, help="display series of pages of same shape") opt('--nomultifile', dest='nomultifile', action='store_true', default=False, help="do not read OME series from multiple files") opt('--noplot', dest='noplot', action='store_true', default=False, help="do not display images") opt('--interpol', dest='interpol', metavar='INTERPOL', default='bilinear', help="image interpolation method") opt('--dpi', dest='dpi', type='int', default=96, help="set plot resolution") opt('--vmin', dest='vmin', type='int', default=None, help="set minimum value for colormapping") opt('--vmax', dest='vmax', type='int', default=None, help="set maximum value for colormapping") opt('--debug', dest='debug', action='store_true', default=False, help="raise exception on failures") opt('--test', dest='test', action='store_true', default=False, help="try read all images in path") opt('--doctest', dest='doctest', action='store_true', default=False, help="runs the docstring examples") opt('-v', '--verbose', dest='verbose', action='store_true', default=True) opt('-q', '--quiet', dest='verbose', action='store_false') settings, path = parser.parse_args() path = ' '.join(path) if settings.doctest: import doctest doctest.testmod() return 0 if not path: path = askopenfilename( title="Select a TIFF file", filetypes=[("TIF files", "*.tif"), ("LSM files", "*.lsm"), ("STK files", "*.stk"), ("allfiles", "*")]) if not path: parser.error("No file specified") if settings.test: test_tifffile(path, settings.verbose) return 0 if any(i in path for i in '?*'): path = glob.glob(path) if not path: print('no files match the pattern') return 0 # TODO: handle image sequences #if len(path) == 1: path = path[0] print("Reading file structure...", end=' ') start = time.time() try: tif = TiffFile(path, multifile=not settings.nomultifile) except Exception as e: if settings.debug: raise else: print("\n", e) sys.exit(0) print("%.3f ms" % ((time.time()-start) * 1e3)) if tif.is_ome: settings.norgb = True images = [(None, tif[0 if settings.page < 0 else settings.page])] if not settings.noplot: print("Reading image data... ", end=' ') def notnone(x): return next(i for i in x if i is not None) start = time.time() try: if settings.page >= 0: images = [(tif.asarray(key=settings.page), tif[settings.page])] elif settings.series >= 0: images = [(tif.asarray(series=settings.series), notnone(tif.series[settings.series].pages))] else: images = [] for i, s in enumerate(tif.series): try: images.append( (tif.asarray(series=i), notnone(s.pages))) except ValueError as e: images.append((None, notnone(s.pages))) if settings.debug: raise else: print("\n* series %i failed: %s... " % (i, e), end='') print("%.3f ms" % ((time.time()-start) * 1e3)) except Exception as e: if settings.debug: raise else: print(e) tif.close() print("\nTIFF file:", tif) print() for i, s in enumerate(tif.series): print("Series %i" % i) print(s) print() for i, page in images: print(page) print(page.tags) if page.is_indexed: print("\nColor Map:", page.color_map.shape, page.color_map.dtype) for attr in ('cz_lsm_info', 'cz_lsm_scan_info', 'uic_tags', 'mm_header', 'imagej_tags', 'micromanager_metadata', 'nih_image_header'): if hasattr(page, attr): print("", attr.upper(), Record(getattr(page, attr)), sep="\n") print() if page.is_micromanager: print('MICROMANAGER_FILE_METADATA') print(Record(tif.micromanager_metadata)) if images and not settings.noplot: try: import matplotlib matplotlib.use('TkAgg') from matplotlib import pyplot except ImportError as e: warnings.warn("failed to import matplotlib.\n%s" % e) else: for img, page in images: if img is None: continue vmin, vmax = settings.vmin, settings.vmax if 'gdal_nodata' in page.tags: try: vmin = numpy.min(img[img > float(page.gdal_nodata)]) except ValueError: pass if page.is_stk: try: vmin = page.uic_tags['min_scale'] vmax = page.uic_tags['max_scale'] except KeyError: pass else: if vmax <= vmin: vmin, vmax = settings.vmin, settings.vmax title = "%s\n %s" % (str(tif), str(page)) imshow(img, title=title, vmin=vmin, vmax=vmax, bitspersample=page.bits_per_sample, photometric=page.photometric, interpolation=settings.interpol, dpi=settings.dpi) pyplot.show() TIFFfile = TiffFile # backwards compatibility if sys.version_info[0] > 2: basestring = str, bytes unicode = str def str2bytes(s, encoding="latin-1"): return s.encode(encoding) else: def str2bytes(s): return s if __name__ == "__main__": sys.exit(main()) imageio-2.1.2/imageio/plugins/tifffile.py0000666000000000000000000002012313021637244017065 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Storage of image data in tiff format. """ from __future__ import absolute_import, print_function, division from .. import formats from ..core import Format import numpy as np _tifffile = None # Defer loading to lib() function. def load_lib(): global _tifffile try: import tifffile as _tifffile except ImportError: from . import _tifffile return _tifffile TIFF_FORMATS = ('.tif', '.tiff', '.stk', '.lsm') WRITE_METADATA_KEYS = ('photometric', 'planarconfig', 'resolution', 'description', 'compress', 'volume', 'writeshape', 'extratags') READ_METADATA_KEYS = ('planar_configuration', 'is_fluoview', 'is_nih', 'is_contig', 'is_micromanager', 'is_ome', 'is_lsm' 'is_palette', 'is_reduced', 'is_rgb', 'is_sgi', 'is_shaped', 'is_stk', 'is_tiled', 'is_mdgel' 'resolution_unit', 'compression', 'is_mediacy', 'orientation') class TiffFormat(Format): """ Provides support for a wide range of Tiff images. Parameters for reading ---------------------- offset : int Optional start position of embedded file. By default this is the current file position. size : int Optional size of embedded file. By default this is the number of bytes from the 'offset' to the end of the file. multifile : bool If True (default), series may include pages from multiple files. Currently applies to OME-TIFF only. multifile_close : bool If True (default), keep the handles of other files in multifile series closed. This is inefficient when few files refer to many pages. If False, the C runtime may run out of resources. Parameters for saving --------------------- bigtiff : bool If True, the BigTIFF format is used. byteorder : {'<', '>'} The endianness of the data in the file. By default this is the system's native byte order. software : str Name of the software used to create the image. Saved with the first page only. Metadata for reading -------------------- planar_configuration : {'contig', 'planar'} Specifies if samples are stored contiguous or in separate planes. By default this setting is inferred from the data shape. 'contig': last dimension contains samples. 'planar': third last dimension contains samples. resolution_unit : (float, float) or ((int, int), (int, int)) X and Y resolution in dots per inch as float or rational numbers. compression : int Values from 0 to 9 indicating the level of zlib compression. If 0, data is uncompressed. orientation : {'top_left', 'bottom_right', ...} Oriented of image array. is_rgb : bool True if page contains a RGB image. is_contig : bool True if page contains a contiguous image. is_tiled : bool True if page contains tiled image. is_palette : bool True if page contains a palette-colored image and not OME or STK. is_reduced : bool True if page is a reduced image of another image. is_shaped : bool True if page contains shape in image_description tag. is_fluoview : bool True if page contains FluoView MM_STAMP tag. is_nih : bool True if page contains NIH image header. is_micromanager : bool True if page contains Micro-Manager metadata. is_ome : bool True if page contains OME-XML in image_description tag. is_sgi : bool True if page contains SGI image and tile depth tags. is_stk : bool True if page contains UIC2Tag tag. is_mdgel : bool True if page contains md_file_tag tag. is_mediacy : bool True if page contains Media Cybernetics Id tag. is_stk : bool True if page contains UIC2Tag tag. is_lsm : bool True if page contains LSM CZ_LSM_INFO tag. Metadata for writing -------------------- photometric : {'minisblack', 'miniswhite', 'rgb'} The color space of the image data. By default this setting is inferred from the data shape. planarconfig : {'contig', 'planar'} Specifies if samples are stored contiguous or in separate planes. By default this setting is inferred from the data shape. 'contig': last dimension contains samples. 'planar': third last dimension contains samples. resolution : (float, float) or ((int, int), (int, int)) X and Y resolution in dots per inch as float or rational numbers. description : str The subject of the image. Saved with the first page only. compress : int Values from 0 to 9 controlling the level of zlib compression. If 0, data are written uncompressed (default). volume : bool If True, volume data are stored in one tile (if applicable) using the SGI image_depth and tile_depth tags. Image width and depth must be multiple of 16. Few software can read this format, e.g. MeVisLab. writeshape : bool If True, write the data shape to the image_description tag if necessary and no other description is given. extratags: sequence of tuples Additional tags as [(code, dtype, count, value, writeonce)]. code : int The TIFF tag Id. dtype : str Data type of items in 'value' in Python struct format. One of B, s, H, I, 2I, b, h, i, f, d, Q, or q. count : int Number of data values. Not used for string values. value : sequence 'Count' values compatible with 'dtype'. writeonce : bool If True, the tag is written to the first page only. """ def _can_read(self, request): # We support any kind of image data return request.filename.lower().endswith(self.extensions) def _can_write(self, request): # We support any kind of image data return request.filename.lower().endswith(self.extensions) # -- reader class Reader(Format.Reader): def _open(self, **kwargs): if not _tifffile: load_lib() self._tf = _tifffile.TiffFile(self.request.get_file(), **kwargs) # metadata is the same for all images self._meta = {} def _close(self): self._tf.close() def _get_length(self): return len(self._tf) def _get_data(self, index): # Get data if index < 0 or index >= len(self._tf): raise IndexError( 'Index out of range while reading from tiff file') im = self._tf[index].asarray() meta = self._meta or self._get_meta_data(index) # Return array and empty meta data return im, meta def _get_meta_data(self, index): page = self._tf[index or 0] for key in READ_METADATA_KEYS: try: self._meta[key] = getattr(page, key) except Exception: pass return self._meta # -- writer class Writer(Format.Writer): def _open(self, bigtiff=None, byteorder=None, software=None): if not _tifffile: load_lib() self._tf = _tifffile.TiffWriter(self.request.get_local_filename(), bigtiff, byteorder, software) self._meta = {} def _close(self): self._tf.close() def _append_data(self, im, meta): if meta: self.set_meta_data(meta) self._tf.save(np.asanyarray(im), **self._meta) def set_meta_data(self, meta): self._meta = {} for (key, value) in meta.items(): if key in WRITE_METADATA_KEYS: self._meta[key] = value # Register format = TiffFormat('tiff', "TIFF format", TIFF_FORMATS, 'iIvV') formats.add_format(format) imageio-2.1.2/imageio/plugins/dicom.py0000666000000000000000000002431613021637244016400 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for reading DICOM files. """ # todo: Use pydicom: # * Note: is not py3k ready yet # * Allow reading the full meta info # I think we can more or less replace the SimpleDicomReader with a # pydicom.Dataset For series, only ned to read the full info from one # file: speed still high # * Perhaps allow writing? from __future__ import absolute_import, print_function, division import os import sys import subprocess from .. import formats from ..core import Format, BaseProgressIndicator, StdoutProgressIndicator from ..core import read_n_bytes _dicom = None # lazily loaded in load_lib() def load_lib(): global _dicom from . import _dicom return _dicom # Determine endianity of system sys_is_little_endian = (sys.byteorder == 'little') def get_dcmdjpeg_exe(): fname = 'dcmdjpeg' + '.exe' * sys.platform.startswith('win') for dir in ('c:\\dcmtk', 'c:\\Program Files', 'c:\\Program Files\\dcmtk', 'c:\\Program Files (x86)\\dcmtk' ): filename = os.path.join(dir, fname) if os.path.isfile(filename): return filename try: subprocess.check_call([fname, '--version'], shell=True) return fname except Exception: return None class DicomFormat(Format): """ A format for reading DICOM images: a common format used to store medical image data, such as X-ray, CT and MRI. This format borrows some code (and ideas) from the pydicom project, and (to the best of our knowledge) has the same limitations as pydicom with regard to the type of files that it can handle. However, only a predefined subset of tags are extracted from the file. This allows for great simplifications allowing us to make a stand-alone reader, and also results in a much faster read time. We plan to allow reading all tags in the future (by using pydicom). This format provides functionality to group images of the same series together, thus extracting volumes (and multiple volumes). Using volread will attempt to yield a volume. If multiple volumes are present, the first one is given. Using mimread will simply yield all images in the given directory (not taking series into account). Parameters for reading ---------------------- progress : {True, False, BaseProgressIndicator} Whether to show progress when reading from multiple files. Default True. By passing an object that inherits from BaseProgressIndicator, the way in which progress is reported can be costumized. """ def _can_read(self, request): # If user URI was a directory, we check whether it has a DICOM file if os.path.isdir(request.filename): files = os.listdir(request.filename) files.sort() # Make it consistent if files: with open(os.path.join(request.filename, files[0]), 'rb') as f: first_bytes = read_n_bytes(f, 140) return first_bytes[128:132] == b'DICM' else: return False # Check return request.firstbytes[128:132] == b'DICM' def _can_write(self, request): # We cannot save yet. May be possible if we will used pydicom as # a backend. return False # -- class Reader(Format.Reader): def _open(self, progress=True): if not _dicom: load_lib() if os.path.isdir(self.request.filename): # A dir can be given if the user used the format explicitly self._info = {} self._data = None else: # Read the given dataset now ... try: dcm = _dicom.SimpleDicomReader(self.request.get_file()) except _dicom.CompressedDicom as err: if 'JPEG' in str(err): exe = get_dcmdjpeg_exe() if not exe: raise fname1 = self.request.get_local_filename() fname2 = fname1 + '.raw' try: subprocess.check_call([exe, fname1, fname2], shell=True) except Exception: raise err print('DICOM file contained compressed data. ' 'Used dcmtk to convert it.') dcm = _dicom.SimpleDicomReader(fname2) else: raise self._info = dcm._info self._data = dcm.get_numpy_array() # Initialize series, list of DicomSeries objects self._series = None # only created if needed # Set progress indicator if isinstance(progress, BaseProgressIndicator): self._progressIndicator = progress elif progress is True: p = StdoutProgressIndicator('Reading DICOM') self._progressIndicator = p elif progress in (None, False): self._progressIndicator = BaseProgressIndicator('Dummy') else: raise ValueError('Invalid value for progress.') def _close(self): # Clean up self._info = None self._data = None self._series = None @property def series(self): if self._series is None: pi = self._progressIndicator self._series = _dicom.process_directory(self.request, pi) return self._series def _get_length(self): if self._data is None: dcm = self.series[0][0] self._info = dcm._info self._data = dcm.get_numpy_array() nslices = self._data.shape[0] if (self._data.ndim == 3) else 1 if self.request.mode[1] == 'i': # User expects one, but lets be honest about this file return nslices elif self.request.mode[1] == 'I': # User expects multiple, if this file has multiple slices, ok. # Otherwise we have to check the series. if nslices > 1: return nslices else: return sum([len(serie) for serie in self.series]) elif self.request.mode[1] == 'v': # User expects a volume, if this file has one, ok. # Otherwise we have to check the series if nslices > 1: return 1 else: return len(self.series) # We assume one volume per series elif self.request.mode[1] == 'V': # User expects multiple volumes. We have to check the series return len(self.series) # We assume one volume per series else: raise RuntimeError('DICOM plugin should know what to expect.') def _get_data(self, index): if self._data is None: dcm = self.series[0][0] self._info = dcm._info self._data = dcm.get_numpy_array() nslices = self._data.shape[0] if (self._data.ndim == 3) else 1 if self.request.mode[1] == 'i': # Allow index >1 only if this file contains >1 if nslices > 1: return self._data[index], self._info elif index == 0: return self._data, self._info else: raise IndexError('Dicom file contains only one slice.') elif self.request.mode[1] == 'I': # Return slice from volume, or return item from series if index == 0 and nslices > 1: return self._data[index], self._info else: L = [] for serie in self.series: L.extend([dcm_ for dcm_ in serie]) return L[index].get_numpy_array(), L[index].info elif self.request.mode[1] in 'vV': # Return volume or series if index == 0 and nslices > 1: return self._data, self._info else: return (self.series[index].get_numpy_array(), self.series[index].info) else: # pragma: no cover raise ValueError('DICOM plugin should know what to expect.') def _get_meta_data(self, index): if self._data is None: dcm = self.series[0][0] self._info = dcm._info self._data = dcm.get_numpy_array() nslices = self._data.shape[0] if (self._data.ndim == 3) else 1 # Default is the meta data of the given file, or the "first" file. if index is None: return self._info if self.request.mode[1] == 'i': return self._info elif self.request.mode[1] == 'I': # Return slice from volume, or return item from series if index == 0 and nslices > 1: return self._info else: L = [] for serie in self.series: L.extend([dcm_ for dcm_ in serie]) return L[index].info elif self.request.mode[1] in 'vV': # Return volume or series if index == 0 and nslices > 1: return self._info else: return self.series[index].info else: # pragma: no cover raise ValueError('DICOM plugin should know what to expect.') # Add this format formats.add_format(DicomFormat( 'DICOM', 'Digital Imaging and Communications in Medicine', '.dcm .ct .mri', 'iIvV')) # Often DICOM files have weird or no extensions imageio-2.1.2/imageio/plugins/swf.py0000666000000000000000000003073112730217204016076 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ SWF plugin. Most of the actual work is done in _swf.py. """ from __future__ import absolute_import, print_function, division import os import zlib from io import BytesIO import numpy as np from .. import formats from ..core import Format, read_n_bytes, image_as_uint _swf = None # lazily loaded in lib() def load_lib(): global _swf from . import _swf return _swf class SWFFormat(Format): """ Shockwave flash (SWF) is a media format designed for rich and interactive animations. This plugin makes use of this format to store a series of images in a lossless format with good compression (zlib). The resulting images can be shown as an animation using a flash player (such as the browser). SWF stores images in RGBA format. RGB or grayscale images are automatically converted. SWF does not support meta data. Parameters for reading ---------------------- loop : bool If True, the video will rewind as soon as a frame is requested beyond the last frame. Otherwise, IndexError is raised. Default False. Parameters for saving --------------------- fps : int The speed to play the animation. Default 12. loop : bool If True, add a tag to the end of the file to play again from the first frame. Most flash players will then play the movie in a loop. Note that the imageio SWF Reader does not check this tag. Default True. html : bool If the output is a file on the file system, write an html file (in HTML5) that shows the animation. Default False. compress : bool Whether to compress the swf file. Default False. You probably don't want to use this. This does not decrease the file size since the images are already compressed. It will result in slower read and write time. The only purpose of this feature is to create compressed SWF files, so that we can test the functionality to read them. """ def _can_read(self, request): if request.mode[1] in (self.modes + '?'): tmp = request.firstbytes[0:3].decode('ascii', 'ignore') if tmp in ('FWS', 'CWS'): return True def _can_write(self, request): if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): return True # -- reader class Reader(Format.Reader): def _open(self, loop=False): if not _swf: load_lib() self._arg_loop = bool(loop) self._fp = self.request.get_file() # Check file ... tmp = self.request.firstbytes[0:3].decode('ascii', 'ignore') if tmp == 'FWS': pass # OK elif tmp == 'CWS': # Compressed, we need to decompress bb = self._fp.read() bb = bb[:8] + zlib.decompress(bb[8:]) # Wrap up in a file object self._fp = BytesIO(bb) else: raise IOError('This does not look like a valid SWF file') # Skip first bytes. This also tests support got seeking ... try: self._fp.seek(8) self._streaming_mode = False except Exception: self._streaming_mode = True self._fp_read(8) # Skip header # Note that the number of frames is there, which we could # potentially use, but the number of frames does not necessarily # correspond to the number of images. nbits = _swf.bits2int(self._fp_read(1), 5) nbits = 5 + nbits * 4 Lrect = nbits / 8.0 if Lrect % 1: Lrect += 1 Lrect = int(Lrect) self._fp_read(Lrect + 3) # Now the rest is basically tags ... self._imlocs = [] # tuple (loc, sze, T, L1) if not self._streaming_mode: # Collect locations of frame, while skipping through the data # This does not read any of the tag *data*. try: while True: isimage, sze, T, L1 = self._read_one_tag() loc = self._fp.tell() if isimage: # Still need to check if the format is right format = ord(self._fp_read(3)[2:]) if format == 5: # RGB or RGBA lossless self._imlocs.append((loc, sze, T, L1)) self._fp.seek(loc + sze) # Skip over tag except IndexError: pass # done reading def _fp_read(self, n): return read_n_bytes(self._fp, n) def _close(self): pass def _get_length(self): if self._streaming_mode: return np.inf else: return len(self._imlocs) def _get_data(self, index): # Check index if index < 0: raise IndexError('Index in swf file must be > 0') if not self._streaming_mode: if self._arg_loop and self._imlocs: index = index % len(self._imlocs) if index >= len(self._imlocs): raise IndexError('Index out of bounds') if self._streaming_mode: # Walk over tags until we find an image while True: isimage, sze, T, L1 = self._read_one_tag() bb = self._fp_read(sze) # always read data if isimage: im = _swf.read_pixels(bb, 0, T, L1) # can be None if im is not None: return im, {} else: # Go to corresponding location, read data, and convert to image loc, sze, T, L1 = self._imlocs[index] self._fp.seek(loc) bb = self._fp_read(sze) # Read_pixels should return ndarry, since we checked format im = _swf.read_pixels(bb, 0, T, L1) return im, {} def _read_one_tag(self): """ Return (True, loc, size, T, L1) if an image that we can read. Return (False, loc, size, T, L1) if any other tag. """ # Get head head = self._fp_read(6) if not head: # pragma: no cover raise IndexError('Reached end of swf movie') # Determine type and length T, L1, L2 = _swf.get_type_and_len(head) if not L2: # pragma: no cover raise RuntimeError('Invalid tag length, could not proceed') # Read data isimage = False sze = L2 - 6 #bb = self._fp_read(L2 - 6) # Parse tag if T == 0: raise IndexError('Reached end of swf movie') elif T in [20, 36]: isimage = True #im = _swf.read_pixels(bb, 0, T, L1) # can be None elif T in [6, 21, 35, 90]: # pragma: no cover print('Ignoring JPEG image: cannot read JPEG.') else: pass # Not an image tag # Done. Return image. Can be None #return im return isimage, sze, T, L1 def _get_meta_data(self, index): return {} # This format does not support meta data # -- writer class Writer(Format.Writer): def _open(self, fps=12, loop=True, html=False, compress=False): if not _swf: load_lib() self._arg_fps = int(fps) self._arg_loop = bool(loop) self._arg_html = bool(html) self._arg_compress = bool(compress) self._fp = self.request.get_file() self._framecounter = 0 self._framesize = (100, 100) # For compress, we use an in-memory file object if self._arg_compress: self._fp_real = self._fp self._fp = BytesIO() def _close(self): self._complete() # Get size of (uncompressed) file sze = self._fp.tell() # set nframes, this is in the potentially compressed region self._fp.seek(self._location_to_save_nframes) self._fp.write(_swf.int2uint16(self._framecounter)) # Compress body? if self._arg_compress: bb = self._fp.getvalue() self._fp = self._fp_real self._fp.write(bb[:8]) self._fp.write(zlib.compress(bb[8:])) sze = self._fp.tell() # renew sze value # set size self._fp.seek(4) self._fp.write(_swf.int2uint32(sze)) self._fp = None # Disable # Write html? if self._arg_html and os.path.isfile(self.request.filename): dirname, fname = os.path.split(self.request.filename) filename = os.path.join(dirname, fname[:-4] + '.html') w, h = self._framesize html = HTML % (fname, w, h, fname) with open(filename, 'wb') as f: f.write(html.encode('utf-8')) def _write_header(self, framesize, fps): self._framesize = framesize # Called as soon as we know framesize; when we get first frame bb = b'' bb += 'FC'[self._arg_compress].encode('ascii') bb += 'WS'.encode('ascii') # signature bytes bb += _swf.int2uint8(8) # version bb += '0000'.encode('ascii') # FileLength (leave open for now) bb += _swf.Tag().make_rect_record(0, framesize[0], 0, framesize[1]).tobytes() bb += _swf.int2uint8(0) + _swf.int2uint8(fps) # FrameRate self._location_to_save_nframes = len(bb) bb += '00'.encode('ascii') # nframes (leave open for now) self._fp.write(bb) # Write some initial tags taglist = _swf.FileAttributesTag(), _swf.SetBackgroundTag(0, 0, 0) for tag in taglist: self._fp.write(tag.get_tag()) def _complete(self): # What if no images were saved? if not self._framecounter: self._write_header((10, 10), self._arg_fps) # Write stop tag if we do not loop if not self._arg_loop: self._fp.write(_swf.DoActionTag('stop').get_tag()) # finish with end tag self._fp.write('\x00\x00'.encode('ascii')) def _append_data(self, im, meta): # Correct shape and type if im.ndim == 3 and im.shape[-1] == 1: im = im[:, :, 0] im = image_as_uint(im, bitdepth=8) # Get frame size wh = im.shape[1], im.shape[0] # Write header on first frame isfirstframe = False if self._framecounter == 0: isfirstframe = True self._write_header(wh, self._arg_fps) # Create tags bm = _swf.BitmapTag(im) sh = _swf.ShapeTag(bm.id, (0, 0), wh) po = _swf.PlaceObjectTag(1, sh.id, move=(not isfirstframe)) sf = _swf.ShowFrameTag() # Write tags for tag in [bm, sh, po, sf]: self._fp.write(tag.get_tag()) self._framecounter += 1 def set_meta_data(self, meta): pass HTML = """ Show Flash animation %s """ # Register. You register an *instance* of a Format class. Here specify: format = SWFFormat('swf', # shot name 'Shockwave flash', # one line descr. '.swf', # list of extensions as a space separated string 'I' # modes, characters in iIvV ) formats.add_format(format) imageio-2.1.2/imageio/plugins/example.py0000666000000000000000000001363013022641754016737 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Example plugin. You can use this as a template for your own plugin. """ from __future__ import absolute_import, print_function, division import numpy as np from .. import formats from ..core import Format class DummyFormat(Format): """ The dummy format is an example format that does nothing. It will never indicate that it can read or write a file. When explicitly asked to read, it will simply read the bytes. When explicitly asked to write, it will raise an error. This documentation is shown when the user does ``help('thisformat')``. Parameters for reading ---------------------- Specify arguments in numpy doc style here. Parameters for saving --------------------- Specify arguments in numpy doc style here. """ def _can_read(self, request): # This method is called when the format manager is searching # for a format to read a certain image. Return True if this format # can do it. # # The format manager is aware of the extensions and the modes # that each format can handle. It will first ask all formats # that *seem* to be able to read it whether they can. If none # can, it will ask the remaining formats if they can: the # extension might be missing, and this allows formats to provide # functionality for certain extensions, while giving preference # to other plugins. # # If a format says it can, it should live up to it. The format # would ideally check the request.firstbytes and look for a # header of some kind. # # The request object has: # request.filename: a representation of the source (only for reporting) # request.firstbytes: the first 256 bytes of the file. # request.mode[0]: read or write mode # request.mode[1]: what kind of data the user expects: one of 'iIvV?' if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): return True def _can_write(self, request): # This method is called when the format manager is searching # for a format to write a certain image. It will first ask all # formats that *seem* to be able to write it whether they can. # If none can, it will ask the remaining formats if they can. # # Return True if the format can do it. # In most cases, this code does suffice: if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): return True # -- reader class Reader(Format.Reader): def _open(self, some_option=False, length=1): # Specify kwargs here. Optionally, the user-specified kwargs # can also be accessed via the request.kwargs object. # # The request object provides two ways to get access to the # data. Use just one: # - Use request.get_file() for a file object (preferred) # - Use request.get_local_filename() for a file on the system self._fp = self.request.get_file() self._length = length # passed as an arg in this case for testing self._data = None def _close(self): # Close the reader. # Note that the request object will close self._fp pass def _get_length(self): # Return the number of images. Can be np.inf return self._length def _get_data(self, index): # Return the data and meta data for the given index if index >= self._length: raise IndexError('Image index %i > %i' % (index, self._length)) # Read all bytes if self._data is None: self._data = self._fp.read() # Put in a numpy array im = np.frombuffer(self._data, 'uint8') im.shape = len(im), 1 # Return array and dummy meta data return im, {} def _get_meta_data(self, index): # Get the meta data for the given index. If index is None, it # should return the global meta data. return {} # This format does not support meta data # -- writer class Writer(Format.Writer): def _open(self, flags=0): # Specify kwargs here. Optionally, the user-specified kwargs # can also be accessed via the request.kwargs object. # # The request object provides two ways to write the data. # Use just one: # - Use request.get_file() for a file object (preferred) # - Use request.get_local_filename() for a file on the system self._fp = self.request.get_file() def _close(self): # Close the reader. # Note that the request object will close self._fp pass def _append_data(self, im, meta): # Process the given data and meta data. raise RuntimeError('The dummy format cannot write image data.') def set_meta_data(self, meta): # Process the given meta data (global for all images) # It is not mandatory to support this. raise RuntimeError('The dummy format cannot write meta data.') # Register. You register an *instance* of a Format class. Here specify: format = DummyFormat('dummy', # short name 'An example format that does nothing.', # one line descr. '.foobar .nonexistentext', # list of extensions 'iI' # modes, characters in iIvV ) formats.add_format(format) imageio-2.1.2/imageio/plugins/_dicom.py0000666000000000000000000010431013021637244016530 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for reading DICOM files. """ # todo: Use pydicom: # * Note: is not py3k ready yet # * Allow reading the full meta info # I think we can more or less replace the SimpleDicomReader with a # pydicom.Dataset For series, only ned to read the full info from one # file: speed still high # * Perhaps allow writing? from __future__ import absolute_import, print_function, division import sys import os import struct import numpy as np from ..core import string_types # Determine endianity of system sys_is_little_endian = (sys.byteorder == 'little') # Define a dictionary that contains the tags that we would like to know MINIDICT = { (0x7FE0, 0x0010): ('PixelData', 'OB'), # Date and time (0x0008, 0x0020): ('StudyDate', 'DA'), (0x0008, 0x0021): ('SeriesDate', 'DA'), (0x0008, 0x0022): ('AcquisitionDate', 'DA'), (0x0008, 0x0023): ('ContentDate', 'DA'), (0x0008, 0x0030): ('StudyTime', 'TM'), (0x0008, 0x0031): ('SeriesTime', 'TM'), (0x0008, 0x0032): ('AcquisitionTime', 'TM'), (0x0008, 0x0033): ('ContentTime', 'TM'), # With what, where, by whom? (0x0008, 0x0060): ('Modality', 'CS'), (0x0008, 0x0070): ('Manufacturer', 'LO'), (0x0008, 0x0080): ('InstitutionName', 'LO'), # Descriptions (0x0008, 0x1030): ('StudyDescription', 'LO'), (0x0008, 0x103E): ('SeriesDescription', 'LO'), # UID's (0x0008, 0x0016): ('SOPClassUID', 'UI'), (0x0008, 0x0018): ('SOPInstanceUID', 'UI'), (0x0020, 0x000D): ('StudyInstanceUID', 'UI'), (0x0020, 0x000E): ('SeriesInstanceUID', 'UI'), (0x0008, 0x0117): ('ContextUID', 'UI'), # Numbers (0x0020, 0x0011): ('SeriesNumber', 'IS'), (0x0020, 0x0012): ('AcquisitionNumber', 'IS'), (0x0020, 0x0013): ('InstanceNumber', 'IS'), (0x0020, 0x0014): ('IsotopeNumber', 'IS'), (0x0020, 0x0015): ('PhaseNumber', 'IS'), (0x0020, 0x0016): ('IntervalNumber', 'IS'), (0x0020, 0x0017): ('TimeSlotNumber', 'IS'), (0x0020, 0x0018): ('AngleNumber', 'IS'), (0x0020, 0x0019): ('ItemNumber', 'IS'), (0x0020, 0x0020): ('PatientOrientation', 'CS'), (0x0020, 0x0030): ('ImagePosition', 'CS'), (0x0020, 0x0032): ('ImagePositionPatient', 'CS'), (0x0020, 0x0035): ('ImageOrientation', 'CS'), (0x0020, 0x0037): ('ImageOrientationPatient', 'CS'), # Patient information (0x0010, 0x0010): ('PatientName', 'PN'), (0x0010, 0x0020): ('PatientID', 'LO'), (0x0010, 0x0030): ('PatientBirthDate', 'DA'), (0x0010, 0x0040): ('PatientSex', 'CS'), (0x0010, 0x1010): ('PatientAge', 'AS'), (0x0010, 0x1020): ('PatientSize', 'DS'), (0x0010, 0x1030): ('PatientWeight', 'DS'), # Image specific (required to construct numpy array) (0x0028, 0x0002): ('SamplesPerPixel', 'US'), (0x0028, 0x0008): ('NumberOfFrames', 'IS'), (0x0028, 0x0100): ('BitsAllocated', 'US'), (0x0028, 0x0101): ('BitsStored', 'US'), (0x0028, 0x0102): ('HighBit', 'US'), (0x0028, 0x0103): ('PixelRepresentation', 'US'), (0x0028, 0x0010): ('Rows', 'US'), (0x0028, 0x0011): ('Columns', 'US'), (0x0028, 0x1052): ('RescaleIntercept', 'DS'), (0x0028, 0x1053): ('RescaleSlope', 'DS'), # Image specific (for the user) (0x0028, 0x0030): ('PixelSpacing', 'DS'), (0x0018, 0x0088): ('SliceSpacing', 'DS'), } # Define some special tags: # See PS 3.5-2008 section 7.5 (p.40) ItemTag = (0xFFFE, 0xE000) # start of Sequence Item ItemDelimiterTag = (0xFFFE, 0xE00D) # end of Sequence Item SequenceDelimiterTag = (0xFFFE, 0xE0DD) # end of Sequence of undefined length # Define set of groups that we're interested in (so we can quickly skip others) GROUPS = set([key[0] for key in MINIDICT.keys()]) VRS = set([val[1] for val in MINIDICT.values()]) class NotADicomFile(Exception): pass class CompressedDicom(RuntimeError): pass class SimpleDicomReader(object): """ This class provides reading of pixel data from DICOM files. It is focussed on getting the pixel data, not the meta info. To use, first create an instance of this class (giving it a file object or filename). Next use the info attribute to get a dict of the meta data. The loading of pixel data is deferred until get_numpy_array() is called. Comparison with Pydicom ----------------------- This code focusses on getting the pixel data out, which allows some shortcuts, resulting in the code being much smaller. Since the processing of data elements is much cheaper (it skips a lot of tags), this code is about 3x faster than pydicom (except for the deflated DICOM files). This class does borrow some code (and ideas) from the pydicom project, and (to the best of our knowledge) has the same limitations as pydicom with regard to the type of files that it can handle. Limitations ----------- For more advanced DICOM processing, please check out pydicom. * Only a predefined subset of data elements (meta information) is read. * This is a reader; it can not write DICOM files. * (just like pydicom) it can handle none of the compressed DICOM formats except for "Deflated Explicit VR Little Endian" (1.2.840.10008.1.2.1.99). """ def __init__(self, file): # Open file if filename given if isinstance(file, string_types): self._filename = file self._file = open(file, 'rb') else: self._filename = '' self._file = file # Init variable to store position and size of pixel data self._pixel_data_loc = None # The meta header is always explicit and little endian self.is_implicit_VR = False self.is_little_endian = True self._unpackPrefix = '<' # Dict to store data elements of interest in self._info = {} # VR Conversion self._converters = { # Numbers 'US': lambda x: self._unpack('H', x), 'UL': lambda x: self._unpack('L', x), # Numbers encoded as strings 'DS': lambda x: self._splitValues(x, float, '\\'), 'IS': lambda x: self._splitValues(x, int, '\\'), # strings 'AS': lambda x: x.decode('ascii', 'ignore').strip('\x00'), 'DA': lambda x: x.decode('ascii', 'ignore').strip('\x00'), 'TM': lambda x: x.decode('ascii', 'ignore').strip('\x00'), 'UI': lambda x: x.decode('ascii', 'ignore').strip('\x00'), 'LO': lambda x: x.decode('utf-8', 'ignore').strip('\x00').rstrip(), 'CS': lambda x: self._splitValues(x, float, '\\'), 'PN': lambda x: x.decode('utf-8', 'ignore').strip('\x00').rstrip(), } # Initiate reading self._read() @property def info(self): return self._info def _splitValues(self, x, type, splitter): s = x.decode('ascii').strip('\x00') try: if splitter in s: return tuple([type(v) for v in s.split(splitter) if v.strip()]) else: return type(s) except ValueError: return s def _unpack(self, fmt, value): return struct.unpack(self._unpackPrefix+fmt, value)[0] # Really only so we need minimal changes to _pixel_data_numpy def __iter__(self): return iter(self._info.keys()) def __getattr__(self, key): info = object.__getattribute__(self, '_info') if key in info: return info[key] return object.__getattribute__(self, key) # pragma: no cover def _read(self): f = self._file # Check prefix after peamble f.seek(128) if f.read(4) != b'DICM': raise NotADicomFile('Not a valid DICOM file.') # Read self._read_header() self._read_data_elements() self._get_shape_and_sampling() # Close if done, reopen if necessary to read pixel data if os.path.isfile(self._filename): self._file.close() self._file = None def _readDataElement(self): f = self._file # Get group and element group = self._unpack('H', f.read(2)) element = self._unpack('H', f.read(2)) # Get value length if self.is_implicit_VR: vl = self._unpack('I', f.read(4)) else: vr = f.read(2) if vr in (b'OB', b'OW', b'SQ', b'UN'): reserved = f.read(2) # noqa vl = self._unpack('I', f.read(4)) else: vl = self._unpack('H', f.read(2)) # Get value if group == 0x7FE0 and element == 0x0010: here = f.tell() self._pixel_data_loc = here, vl f.seek(here+vl) return group, element, b'Deferred loading of pixel data' else: if vl == 0xFFFFFFFF: value = self._read_undefined_length_value() else: value = f.read(vl) return group, element, value def _read_undefined_length_value(self, read_size=128): """ Copied (in compacted form) from PyDicom Copyright Darcy Mason. """ fp = self._file #data_start = fp.tell() search_rewind = 3 bytes_to_find = struct.pack(self._unpackPrefix+'HH', SequenceDelimiterTag[0], SequenceDelimiterTag[1]) found = False value_chunks = [] while not found: chunk_start = fp.tell() bytes_read = fp.read(read_size) if len(bytes_read) < read_size: # try again, # if still don't get required amount, this is last block new_bytes = fp.read(read_size - len(bytes_read)) bytes_read += new_bytes if len(bytes_read) < read_size: raise EOFError("End of file reached before sequence " "delimiter found.") index = bytes_read.find(bytes_to_find) if index != -1: found = True value_chunks.append(bytes_read[:index]) fp.seek(chunk_start + index + 4) # rewind to end of delimiter length = fp.read(4) if length != b"\0\0\0\0": print("Expected 4 zero bytes after undefined length " "delimiter") else: fp.seek(fp.tell() - search_rewind) # rewind a bit # accumulate the bytes read (not including the rewind) value_chunks.append(bytes_read[:-search_rewind]) # if get here then have found the byte string return b"".join(value_chunks) def _read_header(self): f = self._file TransferSyntaxUID = None # Read all elements, store transferSyntax when we encounter it try: while True: fp_save = f.tell() # Get element group, element, value = self._readDataElement() if group == 0x02: if group == 0x02 and element == 0x10: TransferSyntaxUID = value.decode('ascii').strip('\x00') else: # No more group 2: rewind and break # (don't trust group length) f.seek(fp_save) break except (EOFError, struct.error): # pragma: no cover raise RuntimeError('End of file reached while still in header.') # Handle transfer syntax self._info['TransferSyntaxUID'] = TransferSyntaxUID # if TransferSyntaxUID is None: # Assume ExplicitVRLittleEndian is_implicit_VR, is_little_endian = False, True elif TransferSyntaxUID == '1.2.840.10008.1.2.1': # ExplicitVRLittleEndian is_implicit_VR, is_little_endian = False, True elif TransferSyntaxUID == '1.2.840.10008.1.2.2': # ExplicitVRBigEndian is_implicit_VR, is_little_endian = False, False elif TransferSyntaxUID == '1.2.840.10008.1.2': # implicit VR little endian is_implicit_VR, is_little_endian = True, True elif TransferSyntaxUID == '1.2.840.10008.1.2.1.99': # DeflatedExplicitVRLittleEndian: is_implicit_VR, is_little_endian = False, True self._inflate() else: # http://www.dicomlibrary.com/dicom/transfer-syntax/ t, extra_info = TransferSyntaxUID, '' if t >= '1.2.840.10008.1.2.4.50' and t < '1.2.840.10008.1.2.4.99': extra_info = ' (JPEG)' if t >= '1.2.840.10008.1.2.4.90' and t < '1.2.840.10008.1.2.4.99': extra_info = ' (JPEG 2000)' if t == '1.2.840.10008.1.2.5': extra_info = ' (RLE)' if t == '1.2.840.10008.1.2.6.1': extra_info = ' (RFC 2557)' raise CompressedDicom('The dicom reader can only read files with ' 'uncompressed image data - not %r%s. You ' 'can try using dcmtk or gdcm to convert the ' 'image.' % (t, extra_info)) # From hereon, use implicit/explicit big/little endian self.is_implicit_VR = is_implicit_VR self.is_little_endian = is_little_endian self._unpackPrefix = '><'[is_little_endian] def _read_data_elements(self): info = self._info try: while True: # Get element group, element, value = self._readDataElement() # Is it a group we are interested in? if group in GROUPS: key = (group, element) name, vr = MINIDICT.get(key, (None, None)) # Is it an element we are interested in? if name: # Store value converter = self._converters.get(vr, lambda x: x) info[name] = converter(value) except (EOFError, struct.error): pass # end of file ... def get_numpy_array(self): """ Get numpy arra for this DICOM file, with the correct shape, and pixel values scaled appropriately. """ # Is there pixel data at all? if 'PixelData' not in self: raise TypeError("No pixel data found in this dataset.") # Load it now if it was not already loaded if self._pixel_data_loc and len(self.PixelData) < 100: # Reopen file? close_file = False if self._file is None: close_file = True self._file = open(self._filename, 'rb') # Read data self._file.seek(self._pixel_data_loc[0]) if self._pixel_data_loc[1] == 0xFFFFFFFF: value = self._read_undefined_length_value() else: value = self._file.read(self._pixel_data_loc[1]) # Close file if close_file: self._file.close() self._file = None # Overwrite self._info['PixelData'] = value # Get data data = self._pixel_data_numpy() data = self._apply_slope_and_offset(data) # Remove data again to preserve memory # Note that the data for the original file is loaded twice ... self._info['PixelData'] = (b'Data converted to numpy array, ' + b'raw data removed to preserve memory') return data def _get_shape_and_sampling(self): """ Get shape and sampling without actuall using the pixel data. In this way, the user can get an idea what's inside without having to load it. """ # Get shape (in the same way that pydicom does) if 'NumberOfFrames' in self and self.NumberOfFrames > 1: if self.SamplesPerPixel > 1: shape = (self.SamplesPerPixel, self.NumberOfFrames, self.Rows, self.Columns) else: shape = self.NumberOfFrames, self.Rows, self.Columns elif 'SamplesPerPixel' in self: if self.SamplesPerPixel > 1: if self.BitsAllocated == 8: shape = self.SamplesPerPixel, self.Rows, self.Columns else: raise NotImplementedError("DICOM plugin only handles " "SamplesPerPixel > 1 if Bits " "Allocated = 8") else: shape = self.Rows, self.Columns else: raise RuntimeError('DICOM file has no SamplesPerPixel ' '(perhaps this is a report?)') # Try getting sampling between pixels if 'PixelSpacing' in self: sampling = float(self.PixelSpacing[0]), float(self.PixelSpacing[1]) else: sampling = 1.0, 1.0 if 'SliceSpacing' in self: sampling = (abs(self.SliceSpacing),) + sampling # Ensure that sampling has as many elements as shape sampling = (1.0,)*(len(shape)-len(sampling)) + sampling[-len(shape):] # Set shape and sampling self._info['shape'] = shape self._info['sampling'] = sampling def _pixel_data_numpy(self): """Return a NumPy array of the pixel data. """ # Taken from pydicom # Copyright (c) 2008-2012 Darcy Mason if 'PixelData' not in self: raise TypeError("No pixel data found in this dataset.") # determine the type used for the array need_byteswap = (self.is_little_endian != sys_is_little_endian) # Make NumPy format code, e.g. "uint16", "int32" etc # from two pieces of info: # self.PixelRepresentation -- 0 for unsigned, 1 for signed; # self.BitsAllocated -- 8, 16, or 32 format_str = '%sint%d' % (('u', '')[self.PixelRepresentation], self.BitsAllocated) try: numpy_format = np.dtype(format_str) except TypeError: # pragma: no cover raise TypeError("Data type not understood by NumPy: format='%s', " " PixelRepresentation=%d, BitsAllocated=%d" % (numpy_format, self.PixelRepresentation, self.BitsAllocated)) # Have correct Numpy format, so create the NumPy array arr = np.fromstring(self.PixelData, numpy_format) # XXX byte swap - may later handle this in read_file!!? if need_byteswap: arr.byteswap(True) # True means swap in-place, don't make new copy # Note the following reshape operations return a new *view* onto arr, # but don't copy the data arr = arr.reshape(*self._info['shape']) return arr def _apply_slope_and_offset(self, data): """ If RescaleSlope and RescaleIntercept are present in the data, apply them. The data type of the data is changed if necessary. """ # Obtain slope and offset slope, offset = 1, 0 needFloats, needApplySlopeOffset = False, False if 'RescaleSlope' in self: needApplySlopeOffset = True slope = self.RescaleSlope if 'RescaleIntercept' in self: needApplySlopeOffset = True offset = self.RescaleIntercept if int(slope) != slope or int(offset) != offset: needFloats = True if not needFloats: slope, offset = int(slope), int(offset) # Apply slope and offset if needApplySlopeOffset: # Maybe we need to change the datatype? if data.dtype in [np.float32, np.float64]: pass elif needFloats: data = data.astype(np.float32) else: # Determine required range minReq, maxReq = data.min(), data.max() minReq = min([minReq, minReq * slope + offset, maxReq * slope + offset]) maxReq = max([maxReq, minReq * slope + offset, maxReq * slope + offset]) # Determine required datatype from that dtype = None if minReq < 0: # Signed integer type maxReq = max([-minReq, maxReq]) if maxReq < 2**7: dtype = np.int8 elif maxReq < 2**15: dtype = np.int16 elif maxReq < 2**31: dtype = np.int32 else: dtype = np.float32 else: # Unsigned integer type if maxReq < 2**8: dtype = np.int8 elif maxReq < 2**16: dtype = np.int16 elif maxReq < 2**32: dtype = np.int32 else: dtype = np.float32 # Change datatype if dtype != data.dtype: data = data.astype(dtype) # Apply slope and offset data *= slope data += offset # Done return data def _inflate(self): # Taken from pydicom # Copyright (c) 2008-2012 Darcy Mason import zlib from io import BytesIO # See PS3.6-2008 A.5 (p 71) -- when written, the entire dataset # following the file metadata was prepared the normal way, # then "deflate" compression applied. # All that is needed here is to decompress and then # use as normal in a file-like object zipped = self._file.read() # -MAX_WBITS part is from comp.lang.python answer: # groups.google.com/group/comp.lang.python/msg/e95b3b38a71e6799 unzipped = zlib.decompress(zipped, -zlib.MAX_WBITS) self._file = BytesIO(unzipped) # a file-like object class DicomSeries(object): """ DicomSeries This class represents a serie of dicom files (SimpleDicomReader objects) that belong together. If these are multiple files, they represent the slices of a volume (like for CT or MRI). """ def __init__(self, suid, progressIndicator): # Init dataset list and the callback self._entries = [] # Init props self._suid = suid self._info = {} self._progressIndicator = progressIndicator def __len__(self): return len(self._entries) def __iter__(self): return iter(self._entries) def __getitem__(self, index): return self._entries[index] @property def suid(self): return self._suid @property def shape(self): """ The shape of the data (nz, ny, nx). """ return self._info['shape'] @property def sampling(self): """ The sampling (voxel distances) of the data (dz, dy, dx). """ return self._info['sampling'] @property def info(self): """ A dictionary containing the information as present in the first dicomfile of this serie. None if there are no entries. """ return self._info @property def description(self): """ A description of the dicom series. Used fields are PatientName, shape of the data, SeriesDescription, and ImageComments. """ info = self.info # If no info available, return simple description if not info: # pragma: no cover return "DicomSeries containing %i images" % len(self) fields = [] # Give patient name if 'PatientName' in info: fields.append(""+info['PatientName']) # Also add dimensions if self.shape: tmp = [str(d) for d in self.shape] fields.append('x'.join(tmp)) # Try adding more fields if 'SeriesDescription' in info: fields.append("'"+info['SeriesDescription']+"'") if 'ImageComments' in info: fields.append("'"+info['ImageComments']+"'") # Combine return ' '.join(fields) def __repr__(self): adr = hex(id(self)).upper() return "" % (len(self), adr) def get_numpy_array(self): """ Get (load) the data that this DicomSeries represents, and return it as a numpy array. If this serie contains multiple images, the resulting array is 3D, otherwise it's 2D. """ # It's easy if no file or if just a single file if len(self) == 0: raise ValueError('Serie does not contain any files.') elif len(self) == 1: return self[0].get_numpy_array() # Check info if self.info is None: raise RuntimeError("Cannot return volume if series not finished.") # Init data (using what the dicom packaged produces as a reference) slice = self[0].get_numpy_array() vol = np.zeros(self.shape, dtype=slice.dtype) vol[0] = slice # Fill volume self._progressIndicator.start('loading data', '', len(self)) for z in range(1, len(self)): vol[z] = self[z].get_numpy_array() self._progressIndicator.set_progress(z+1) self._progressIndicator.finish() # Done import gc gc.collect() return vol def _append(self, dcm): self._entries.append(dcm) def _sort(self): self._entries.sort(key=lambda k: k.InstanceNumber) def _finish(self): """ Evaluate the series of dicom files. Together they should make up a volumetric dataset. This means the files should meet certain conditions. Also some additional information has to be calculated, such as the distance between the slices. This method sets the attributes for "shape", "sampling" and "info". This method checks: * that there are no missing files * that the dimensions of all images match * that the pixel spacing of all images match """ # The datasets list should be sorted by instance number L = self._entries if len(L) == 0: return elif len(L) == 1: self._info = L[0].info return # Get previous ds1 = L[0] # Init measures to calculate average of distance_sum = 0.0 # Init measures to check (these are in 2D) dimensions = ds1.Rows, ds1.Columns #sampling = float(ds1.PixelSpacing[0]), float(ds1.PixelSpacing[1]) sampling = ds1.info['sampling'][:2] # row, column for index in range(len(L)): # The first round ds1 and ds2 will be the same, for the # distance calculation this does not matter # Get current ds2 = L[index] # Get positions pos1 = float(ds1.ImagePositionPatient[2]) pos2 = float(ds2.ImagePositionPatient[2]) # Update distance_sum to calculate distance later distance_sum += abs(pos1 - pos2) # Test measures dimensions2 = ds2.Rows, ds2.Columns #sampling2 = float(ds2.PixelSpacing[0]), float(ds2.PixelSpacing[1]) sampling2 = ds2.info['sampling'][:2] # row, column if dimensions != dimensions2: # We cannot produce a volume if the dimensions match raise ValueError('Dimensions of slices does not match.') if sampling != sampling2: # We can still produce a volume, but we should notify the user self._progressIndicator.write('Warn: sampling does not match.') # Store previous ds1 = ds2 # Finish calculating average distance # (Note that there are len(L)-1 distances) distance_mean = distance_sum / (len(L)-1) # Set info dict self._info = L[0].info.copy() # Store information that is specific for the serie self._info['shape'] = (len(L),) + ds2.info['shape'] self._info['sampling'] = (distance_mean,) + ds2.info['sampling'] def list_files(files, path): """List all files in the directory, recursively. """ for item in os.listdir(path): item = os.path.join(path, item) if os.path.isdir(item): list_files(files, item) elif os.path.isfile(item): files.append(item) def process_directory(request, progressIndicator, readPixelData=False): """ Reads dicom files and returns a list of DicomSeries objects, which contain information about the data, and can be used to load the image or volume data. if readPixelData is True, the pixel data of all series is read. By default the loading of pixeldata is deferred until it is requested using the DicomSeries.get_pixel_array() method. In general, both methods should be equally fast. """ # Get directory to examine if os.path.isdir(request.filename): path = request.filename elif os.path.isfile(request.filename): path = os.path.dirname(request.filename) else: # pragma: no cover - tested earlier raise ValueError('Dicom plugin needs a valid filename to examine ' 'the directory') # Check files files = [] list_files(files, path) # Find files recursively # Gather file data and put in DicomSeries series = {} count = 0 progressIndicator.start('examining files', 'files', len(files)) for filename in files: # Show progress (note that we always start with a 0.0) count += 1 progressIndicator.set_progress(count) # Skip DICOMDIR files if filename.count("DICOMDIR"): # pragma: no cover continue # Try loading dicom ... try: dcm = SimpleDicomReader(filename) except NotADicomFile: continue # skip non-dicom file except Exception as why: # pragma: no cover progressIndicator.write(str(why)) continue # Get SUID and register the file with an existing or new series object try: suid = dcm.SeriesInstanceUID except AttributeError: # pragma: no cover continue # some other kind of dicom file if suid not in series: series[suid] = DicomSeries(suid, progressIndicator) series[suid]._append(dcm) # Finish progress #progressIndicator.finish('Found %i series.' % len(series)) # Make a list and sort, so that the order is deterministic series = list(series.values()) series.sort(key=lambda x: x.suid) # Split series if necessary for serie in reversed([serie for serie in series]): splitSerieIfRequired(serie, series, progressIndicator) # Finish all series #progressIndicator.start('analyse series', '', len(series)) series_ = [] for i in range(len(series)): try: series[i]._finish() series_.append(series[i]) except Exception as err: # pragma: no cover progressIndicator.write(str(err)) pass # Skip serie (probably report-like file without pixels) #progressIndicator.set_progress(i+1) progressIndicator.finish('Found %i correct series.' % len(series_)) # Done return series_ def splitSerieIfRequired(serie, series, progressIndicator): """ Split the serie in multiple series if this is required. The choice is based on examing the image position relative to the previous image. If it differs too much, it is assumed that there is a new dataset. This can happen for example in unspitted gated CT data. """ # Sort the original list and get local name serie._sort() L = serie._entries # Init previous slice ds1 = L[0] # Check whether we can do this if "ImagePositionPatient" not in ds1: return # Initialize a list of new lists L2 = [[ds1]] # Init slice distance estimate distance = 0 for index in range(1, len(L)): # Get current slice ds2 = L[index] # Get positions pos1 = float(ds1.ImagePositionPatient[2]) pos2 = float(ds2.ImagePositionPatient[2]) # Get distances newDist = abs(pos1 - pos2) #deltaDist = abs(firstPos-pos2) # If the distance deviates more than 2x from what we've seen, # we can agree it's a new dataset. if distance and newDist > 2.1*distance: L2.append([]) distance = 0 else: # Test missing file if distance and newDist > 1.5*distance: progressIndicator.write('Warning: missing file after %r' % ds1._filename) distance = newDist # Add to last list L2[-1].append(ds2) # Store previous ds1 = ds2 # Split if we should if len(L2) > 1: # At what position are we now? i = series.index(serie) # Create new series series2insert = [] for L in L2: newSerie = DicomSeries(serie.suid, progressIndicator) newSerie._entries = L series2insert.append(newSerie) # Insert series and remove self for newSerie in reversed(series2insert): series.insert(i, newSerie) series.remove(serie) imageio-2.1.2/imageio/plugins/_freeimage.py0000666000000000000000000014615013022044152017360 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. # styletest: ignore E261 """ Module imageio/freeimage.py This module contains the wrapper code for the freeimage library. The functions defined in this module are relatively thin; just thin enough so that arguments and results are native Python/numpy data types. """ from __future__ import absolute_import, print_function, with_statement import os import sys import ctypes import threading from logging import warn import numpy from ..core import (get_remote_file, load_lib, Dict, resource_dirs, string_types, binary_type, IS_PYPY, get_platform, InternetNotAllowedError, NeedDownloadError) TEST_NUMPY_NO_STRIDES = False # To test pypy fallback FNAME_PER_PLATFORM = { 'osx32': 'libfreeimage-3.16.0-osx10.6.dylib', # universal library 'osx64': 'libfreeimage-3.16.0-osx10.6.dylib', 'win32': 'FreeImage-3.15.4-win32.dll', 'win64': 'FreeImage-3.15.1-win64.dll', 'linux32': 'libfreeimage-3.16.0-linux32.so', 'linux64': 'libfreeimage-3.16.0-linux64.so', } def download(): """ Download the FreeImage library to your computer. """ plat = get_platform() if plat and plat in FNAME_PER_PLATFORM: get_remote_file('freeimage/' + FNAME_PER_PLATFORM[plat]) fi._lib = None # allow trying again (needed to make tests work) def get_freeimage_lib(): """ Ensure we have our version of the binary freeimage lib. """ lib = os.getenv('IMAGEIO_FREEIMAGE_LIB', None) if lib: # pragma: no cover return lib # Get filename to load # If we do not provide a binary, the system may still do ... plat = get_platform() if plat and plat in FNAME_PER_PLATFORM: try: return get_remote_file('freeimage/' + FNAME_PER_PLATFORM[plat], auto=False) except InternetNotAllowedError: pass except NeedDownloadError: raise NeedDownloadError('Need FreeImage library. ' 'You can download it by calling:\n' ' imageio.plugins.freeimage.download()') except RuntimeError as e: # pragma: no cover warn(str(e)) # Define function to encode a filename to bytes (for the current system) efn = lambda x: x.encode(sys.getfilesystemencoding()) # 4-byte quads of 0,v,v,v from 0,0,0,0 to 0,255,255,255 GREY_PALETTE = numpy.arange(0, 0x01000000, 0x00010101, dtype=numpy.uint32) class FI_TYPES(object): FIT_UNKNOWN = 0 FIT_BITMAP = 1 FIT_UINT16 = 2 FIT_INT16 = 3 FIT_UINT32 = 4 FIT_INT32 = 5 FIT_FLOAT = 6 FIT_DOUBLE = 7 FIT_COMPLEX = 8 FIT_RGB16 = 9 FIT_RGBA16 = 10 FIT_RGBF = 11 FIT_RGBAF = 12 dtypes = { FIT_BITMAP: numpy.uint8, FIT_UINT16: numpy.uint16, FIT_INT16: numpy.int16, FIT_UINT32: numpy.uint32, FIT_INT32: numpy.int32, FIT_FLOAT: numpy.float32, FIT_DOUBLE: numpy.float64, FIT_COMPLEX: numpy.complex128, FIT_RGB16: numpy.uint16, FIT_RGBA16: numpy.uint16, FIT_RGBF: numpy.float32, FIT_RGBAF: numpy.float32 } fi_types = { (numpy.uint8, 1): FIT_BITMAP, (numpy.uint8, 3): FIT_BITMAP, (numpy.uint8, 4): FIT_BITMAP, (numpy.uint16, 1): FIT_UINT16, (numpy.int16, 1): FIT_INT16, (numpy.uint32, 1): FIT_UINT32, (numpy.int32, 1): FIT_INT32, (numpy.float32, 1): FIT_FLOAT, (numpy.float64, 1): FIT_DOUBLE, (numpy.complex128, 1): FIT_COMPLEX, (numpy.uint16, 3): FIT_RGB16, (numpy.uint16, 4): FIT_RGBA16, (numpy.float32, 3): FIT_RGBF, (numpy.float32, 4): FIT_RGBAF } extra_dims = { FIT_UINT16: [], FIT_INT16: [], FIT_UINT32: [], FIT_INT32: [], FIT_FLOAT: [], FIT_DOUBLE: [], FIT_COMPLEX: [], FIT_RGB16: [3], FIT_RGBA16: [4], FIT_RGBF: [3], FIT_RGBAF: [4] } class IO_FLAGS(object): FIF_LOAD_NOPIXELS = 0x8000 # loading: load the image header only # # (not supported by all plugins) BMP_DEFAULT = 0 BMP_SAVE_RLE = 1 CUT_DEFAULT = 0 DDS_DEFAULT = 0 EXR_DEFAULT = 0 # save data as half with piz-based wavelet compression EXR_FLOAT = 0x0001 # save data as float instead of half (not recommended) EXR_NONE = 0x0002 # save with no compression EXR_ZIP = 0x0004 # save with zlib compression, in blocks of 16 scan lines EXR_PIZ = 0x0008 # save with piz-based wavelet compression EXR_PXR24 = 0x0010 # save with lossy 24-bit float compression EXR_B44 = 0x0020 # save with lossy 44% float compression # # - goes to 22% when combined with EXR_LC EXR_LC = 0x0040 # save images with one luminance and two chroma channels, # # rather than as RGB (lossy compression) FAXG3_DEFAULT = 0 GIF_DEFAULT = 0 GIF_LOAD256 = 1 # Load the image as a 256 color image with ununsed # # palette entries, if it's 16 or 2 color GIF_PLAYBACK = 2 # 'Play' the GIF to generate each frame (as 32bpp) # # instead of returning raw frame data when loading HDR_DEFAULT = 0 ICO_DEFAULT = 0 ICO_MAKEALPHA = 1 # convert to 32bpp and create an alpha channel from the # # AND-mask when loading IFF_DEFAULT = 0 J2K_DEFAULT = 0 # save with a 16:1 rate JP2_DEFAULT = 0 # save with a 16:1 rate JPEG_DEFAULT = 0 # loading (see JPEG_FAST); # # saving (see JPEG_QUALITYGOOD|JPEG_SUBSAMPLING_420) JPEG_FAST = 0x0001 # load the file as fast as possible, # # sacrificing some quality JPEG_ACCURATE = 0x0002 # load the file with the best quality, # # sacrificing some speed JPEG_CMYK = 0x0004 # load separated CMYK "as is" # # (use | to combine with other load flags) JPEG_EXIFROTATE = 0x0008 # load and rotate according to # # Exif 'Orientation' tag if available JPEG_QUALITYSUPERB = 0x80 # save with superb quality (100:1) JPEG_QUALITYGOOD = 0x0100 # save with good quality (75:1) JPEG_QUALITYNORMAL = 0x0200 # save with normal quality (50:1) JPEG_QUALITYAVERAGE = 0x0400 # save with average quality (25:1) JPEG_QUALITYBAD = 0x0800 # save with bad quality (10:1) JPEG_PROGRESSIVE = 0x2000 # save as a progressive-JPEG # # (use | to combine with other save flags) JPEG_SUBSAMPLING_411 = 0x1000 # save with high 4x1 chroma # # subsampling (4:1:1) JPEG_SUBSAMPLING_420 = 0x4000 # save with medium 2x2 medium chroma # # subsampling (4:2:0) - default value JPEG_SUBSAMPLING_422 = 0x8000 # save /w low 2x1 chroma subsampling (4:2:2) JPEG_SUBSAMPLING_444 = 0x10000 # save with no chroma subsampling (4:4:4) JPEG_OPTIMIZE = 0x20000 # on saving, compute optimal Huffman coding tables # # (can reduce a few percent of file size) JPEG_BASELINE = 0x40000 # save basic JPEG, without metadata or any markers KOALA_DEFAULT = 0 LBM_DEFAULT = 0 MNG_DEFAULT = 0 PCD_DEFAULT = 0 PCD_BASE = 1 # load the bitmap sized 768 x 512 PCD_BASEDIV4 = 2 # load the bitmap sized 384 x 256 PCD_BASEDIV16 = 3 # load the bitmap sized 192 x 128 PCX_DEFAULT = 0 PFM_DEFAULT = 0 PICT_DEFAULT = 0 PNG_DEFAULT = 0 PNG_IGNOREGAMMA = 1 # loading: avoid gamma correction PNG_Z_BEST_SPEED = 0x0001 # save using ZLib level 1 compression flag # # (default value is 6) PNG_Z_DEFAULT_COMPRESSION = 0x0006 # save using ZLib level 6 compression # # flag (default recommended value) PNG_Z_BEST_COMPRESSION = 0x0009 # save using ZLib level 9 compression flag # # (default value is 6) PNG_Z_NO_COMPRESSION = 0x0100 # save without ZLib compression PNG_INTERLACED = 0x0200 # save using Adam7 interlacing (use | to combine # # with other save flags) PNM_DEFAULT = 0 PNM_SAVE_RAW = 0 # Writer saves in RAW format (i.e. P4, P5 or P6) PNM_SAVE_ASCII = 1 # Writer saves in ASCII format (i.e. P1, P2 or P3) PSD_DEFAULT = 0 PSD_CMYK = 1 # reads tags for separated CMYK (default is conversion to RGB) PSD_LAB = 2 # reads tags for CIELab (default is conversion to RGB) RAS_DEFAULT = 0 RAW_DEFAULT = 0 # load the file as linear RGB 48-bit RAW_PREVIEW = 1 # try to load the embedded JPEG preview with included # # Exif Data or default to RGB 24-bit RAW_DISPLAY = 2 # load the file as RGB 24-bit SGI_DEFAULT = 0 TARGA_DEFAULT = 0 TARGA_LOAD_RGB888 = 1 # Convert RGB555 and ARGB8888 -> RGB888. TARGA_SAVE_RLE = 2 # Save with RLE compression TIFF_DEFAULT = 0 TIFF_CMYK = 0x0001 # reads/stores tags for separated CMYK # # (use | to combine with compression flags) TIFF_PACKBITS = 0x0100 # save using PACKBITS compression TIFF_DEFLATE = 0x0200 # save using DEFLATE (a.k.a. ZLIB) compression TIFF_ADOBE_DEFLATE = 0x0400 # save using ADOBE DEFLATE compression TIFF_NONE = 0x0800 # save without any compression TIFF_CCITTFAX3 = 0x1000 # save using CCITT Group 3 fax encoding TIFF_CCITTFAX4 = 0x2000 # save using CCITT Group 4 fax encoding TIFF_LZW = 0x4000 # save using LZW compression TIFF_JPEG = 0x8000 # save using JPEG compression TIFF_LOGLUV = 0x10000 # save using LogLuv compression WBMP_DEFAULT = 0 XBM_DEFAULT = 0 XPM_DEFAULT = 0 class METADATA_MODELS(object): FIMD_COMMENTS = 0 FIMD_EXIF_MAIN = 1 FIMD_EXIF_EXIF = 2 FIMD_EXIF_GPS = 3 FIMD_EXIF_MAKERNOTE = 4 FIMD_EXIF_INTEROP = 5 FIMD_IPTC = 6 FIMD_XMP = 7 FIMD_GEOTIFF = 8 FIMD_ANIMATION = 9 class METADATA_DATATYPE(object): FIDT_BYTE = 1 # 8-bit unsigned integer FIDT_ASCII = 2 # 8-bit bytes w/ last byte null FIDT_SHORT = 3 # 16-bit unsigned integer FIDT_LONG = 4 # 32-bit unsigned integer FIDT_RATIONAL = 5 # 64-bit unsigned fraction FIDT_SBYTE = 6 # 8-bit signed integer FIDT_UNDEFINED = 7 # 8-bit untyped data FIDT_SSHORT = 8 # 16-bit signed integer FIDT_SLONG = 9 # 32-bit signed integer FIDT_SRATIONAL = 10 # 64-bit signed fraction FIDT_FLOAT = 11 # 32-bit IEEE floating point FIDT_DOUBLE = 12 # 64-bit IEEE floating point FIDT_IFD = 13 # 32-bit unsigned integer (offset) FIDT_PALETTE = 14 # 32-bit RGBQUAD FIDT_LONG8 = 16 # 64-bit unsigned integer FIDT_SLONG8 = 17 # 64-bit signed integer FIDT_IFD8 = 18 # 64-bit unsigned integer (offset) dtypes = { FIDT_BYTE: numpy.uint8, FIDT_SHORT: numpy.uint16, FIDT_LONG: numpy.uint32, FIDT_RATIONAL: [('numerator', numpy.uint32), ('denominator', numpy.uint32)], FIDT_LONG8: numpy.uint64, FIDT_SLONG8: numpy.int64, FIDT_IFD8: numpy.uint64, FIDT_SBYTE: numpy.int8, FIDT_UNDEFINED: numpy.uint8, FIDT_SSHORT: numpy.int16, FIDT_SLONG: numpy.int32, FIDT_SRATIONAL: [('numerator', numpy.int32), ('denominator', numpy.int32)], FIDT_FLOAT: numpy.float32, FIDT_DOUBLE: numpy.float64, FIDT_IFD: numpy.uint32, FIDT_PALETTE: [('R', numpy.uint8), ('G', numpy.uint8), ('B', numpy.uint8), ('A', numpy.uint8)], } class Freeimage(object): """ Class to represent an interface to the FreeImage library. This class is relatively thin. It provides a Pythonic API that converts Freeimage objects to Python objects, but that's about it. The actual implementation should be provided by the plugins. The recommended way to call into the Freeimage library (so that errors and warnings show up in the right moment) is to use this object as a context manager: with imageio.fi as lib: lib.FreeImage_GetPalette() """ _API = { # All we're doing here is telling ctypes that some of the # FreeImage functions return pointers instead of integers. (On # 64-bit systems, without this information the pointers get # truncated and crashes result). There's no need to list # functions that return ints, or the types of the parameters # to these or other functions -- that's fine to do implicitly. # Note that the ctypes immediately converts the returned void_p # back to a python int again! This is really not helpful, # because then passing it back to another library call will # cause truncation-to-32-bits on 64-bit systems. Thanks, ctypes! # So after these calls one must immediately re-wrap the int as # a c_void_p if it is to be passed back into FreeImage. 'FreeImage_AllocateT': (ctypes.c_void_p, None), 'FreeImage_FindFirstMetadata': (ctypes.c_void_p, None), 'FreeImage_GetBits': (ctypes.c_void_p, None), 'FreeImage_GetPalette': (ctypes.c_void_p, None), 'FreeImage_GetTagKey': (ctypes.c_char_p, None), 'FreeImage_GetTagValue': (ctypes.c_void_p, None), 'FreeImage_CreateTag': (ctypes.c_void_p, None), 'FreeImage_Save': (ctypes.c_void_p, None), 'FreeImage_Load': (ctypes.c_void_p, None), 'FreeImage_LoadFromMemory': (ctypes.c_void_p, None), 'FreeImage_OpenMultiBitmap': (ctypes.c_void_p, None), 'FreeImage_LoadMultiBitmapFromMemory': (ctypes.c_void_p, None), 'FreeImage_LockPage': (ctypes.c_void_p, None), 'FreeImage_OpenMemory': (ctypes.c_void_p, None), #'FreeImage_ReadMemory': (ctypes.c_void_p, None), #'FreeImage_CloseMemory': (ctypes.c_void_p, None), 'FreeImage_GetVersion': (ctypes.c_char_p, None), 'FreeImage_GetFIFExtensionList': (ctypes.c_char_p, None), 'FreeImage_GetFormatFromFIF': (ctypes.c_char_p, None), 'FreeImage_GetFIFDescription': (ctypes.c_char_p, None), 'FreeImage_ColorQuantizeEx': (ctypes.c_void_p, None), # Pypy wants some extra definitions, so here we go ... 'FreeImage_IsLittleEndian': (ctypes.c_int, None), 'FreeImage_SetOutputMessage': (ctypes.c_void_p, None), 'FreeImage_GetFIFCount': (ctypes.c_int, None), 'FreeImage_IsPluginEnabled': (ctypes.c_int, None), 'FreeImage_GetFileType': (ctypes.c_int, None), # 'FreeImage_GetTagType': (ctypes.c_int, None), 'FreeImage_GetTagLength': (ctypes.c_int, None), 'FreeImage_FindNextMetadata': (ctypes.c_int, None), 'FreeImage_FindCloseMetadata': (ctypes.c_void_p, None), # 'FreeImage_GetFIFFromFilename': (ctypes.c_int, None), 'FreeImage_FIFSupportsReading': (ctypes.c_int, None), 'FreeImage_FIFSupportsWriting': (ctypes.c_int, None), 'FreeImage_FIFSupportsExportType': (ctypes.c_int, None), 'FreeImage_FIFSupportsExportBPP': (ctypes.c_int, None), 'FreeImage_GetHeight': (ctypes.c_int, None), 'FreeImage_GetWidth': (ctypes.c_int, None), 'FreeImage_GetImageType': (ctypes.c_int, None), 'FreeImage_GetBPP': (ctypes.c_int, None), 'FreeImage_GetColorsUsed': (ctypes.c_int, None), 'FreeImage_ConvertTo32Bits': (ctypes.c_void_p, None), 'FreeImage_GetPitch': (ctypes.c_int, None), 'FreeImage_Unload': (ctypes.c_void_p, None), } def __init__(self): # Initialize freeimage lib as None self._lib = None # A lock to create thread-safety self._lock = threading.RLock() # Init log messages lists self._messages = [] # Select functype for error handler if sys.platform.startswith('win'): functype = ctypes.WINFUNCTYPE else: functype = ctypes.CFUNCTYPE # Create output message handler @functype(None, ctypes.c_int, ctypes.c_char_p) def error_handler(fif, message): message = message.decode('utf-8') self._messages.append(message) while (len(self._messages)) > 256: self._messages.pop(0) # Make sure to keep a ref to function self._error_handler = error_handler @property def lib(self): if self._lib is None: try: self.load_freeimage() except OSError as err: self._lib = 'The freeimage library could not be loaded: ' self._lib += str(err) if isinstance(self._lib, str): raise RuntimeError(self._lib) return self._lib def has_lib(self): try: self.lib except Exception: return False return True def load_freeimage(self): """ Try to load the freeimage lib from the system. If not successful, try to download the imageio version and try again. """ # Load library and register API success = False try: # Try without forcing a download, but giving preference # to the imageio-provided lib (if previously downloaded) self._load_freeimage() self._register_api() if self.lib.FreeImage_GetVersion().decode('utf-8') >= '3.15': success = True except OSError: pass if not success: # Ensure we have our own lib, try again get_freeimage_lib() self._load_freeimage() self._register_api() # Wrap up self.lib.FreeImage_SetOutputMessage(self._error_handler) self.lib_version = self.lib.FreeImage_GetVersion().decode('utf-8') def _load_freeimage(self): # Define names lib_names = ['freeimage', 'libfreeimage'] exact_lib_names = ['FreeImage', 'libfreeimage.dylib', 'libfreeimage.so', 'libfreeimage.so.3'] # Add names of libraries that we provide (that file may not exist) res_dirs = resource_dirs() plat = get_platform() if plat: # Can be None on e.g. FreeBSD fname = FNAME_PER_PLATFORM[plat] for dir in res_dirs: exact_lib_names.insert(0, os.path.join(dir, 'freeimage', fname)) # Add the path specified with IMAGEIO_FREEIMAGE_LIB: lib = os.getenv('IMAGEIO_FREEIMAGE_LIB', None) if lib is not None: exact_lib_names.insert(0, lib) # Load try: lib, fname = load_lib(exact_lib_names, lib_names, res_dirs) except OSError as err: # pragma: no cover err_msg = str(err) + '\nPlease install the FreeImage library.' raise OSError(err_msg) # Store self._lib = lib self.lib_fname = fname def _register_api(self): # Albert's ctypes pattern for f, (restype, argtypes) in self._API.items(): func = getattr(self.lib, f) func.restype = restype func.argtypes = argtypes ## Handling of output messages def __enter__(self): self._lock.acquire() return self.lib def __exit__(self, *args): self._show_any_warnings() self._lock.release() def _reset_log(self): """ Reset the list of output messages. Call this before loading or saving an image with the FreeImage API. """ self._messages = [] def _get_error_message(self): """ Get the output messages produced since the last reset as one string. Returns 'No known reason.' if there are no messages. Also resets the log. """ if self._messages: res = ' '.join(self._messages) self._reset_log() return res else: return 'No known reason.' def _show_any_warnings(self): """ If there were any messages since the last reset, show them as a warning. Otherwise do nothing. Also resets the messages. """ if self._messages: warn('imageio.freeimage warning: ' + self._get_error_message()) self._reset_log() def get_output_log(self): """ Return a list of the last 256 output messages (warnings and errors) produced by the FreeImage library. """ # This message log is not cleared/reset, but kept to 256 elements. return [m for m in self._messages] def getFIF(self, filename, mode, bytes=None): """ Get the freeimage Format (FIF) from a given filename. If mode is 'r', will try to determine the format by reading the file, otherwise only the filename is used. This function also tests whether the format supports reading/writing. """ with self as lib: # Init ftype = -1 if mode not in 'rw': raise ValueError('Invalid mode (must be "r" or "w").') # Try getting format from the content. Note that some files # do not have a header that allows reading the format from # the file. if mode == 'r': if bytes is not None: fimemory = lib.FreeImage_OpenMemory( ctypes.c_char_p(bytes), len(bytes)) ftype = lib.FreeImage_GetFileTypeFromMemory( ctypes.c_void_p(fimemory), len(bytes)) lib.FreeImage_CloseMemory(ctypes.c_void_p(fimemory)) if (ftype == -1) and os.path.isfile(filename): ftype = lib.FreeImage_GetFileType(efn(filename), 0) # Try getting the format from the extension if ftype == -1: ftype = lib.FreeImage_GetFIFFromFilename(efn(filename)) # Test if ok if ftype == -1: raise ValueError('Cannot determine format of file "%s"' % filename) elif mode == 'w' and not lib.FreeImage_FIFSupportsWriting(ftype): raise ValueError('Cannot write the format of file "%s"' % filename) elif mode == 'r' and not lib.FreeImage_FIFSupportsReading(ftype): raise ValueError('Cannot read the format of file "%s"' % filename) return ftype def create_bitmap(self, filename, ftype, flags=0): """ create_bitmap(filename, ftype, flags=0) Create a wrapped bitmap object. """ return FIBitmap(self, filename, ftype, flags) def create_multipage_bitmap(self, filename, ftype, flags=0): """ create_multipage_bitmap(filename, ftype, flags=0) Create a wrapped multipage bitmap object. """ return FIMultipageBitmap(self, filename, ftype, flags) class FIBaseBitmap(object): def __init__(self, fi, filename, ftype, flags): self._fi = fi self._filename = filename self._ftype = ftype self._flags = flags self._bitmap = None self._close_funcs = [] def __del__(self): self.close() def close(self): if (self._bitmap is not None) and self._close_funcs: for close_func in self._close_funcs: try: with self._fi: fun = close_func[0] fun(*close_func[1:]) except Exception: # pragma: no cover pass self._close_funcs = [] self._bitmap = None def _set_bitmap(self, bitmap, close_func=None): """ Function to set the bitmap and specify the function to unload it. """ if self._bitmap is not None: pass # bitmap is converted if close_func is None: close_func = self._fi.lib.FreeImage_Unload, bitmap self._bitmap = bitmap if close_func: self._close_funcs.append(close_func) def get_meta_data(self): # todo: there is also FreeImage_TagToString, is that useful? # and would that work well when reading and then saving? # Create a list of (model_name, number) tuples models = [(name[5:], number) for name, number in METADATA_MODELS.__dict__.items() if name.startswith('FIMD_')] # Prepare metadata = Dict() tag = ctypes.c_void_p() with self._fi as lib: # Iterate over all FreeImage meta models for model_name, number in models: # Find beginning, get search handle mdhandle = lib.FreeImage_FindFirstMetadata(number, self._bitmap, ctypes.byref(tag)) mdhandle = ctypes.c_void_p(mdhandle) if mdhandle: # Iterate over all tags in this model more = True while more: # Get info about tag tag_name = lib.FreeImage_GetTagKey(tag).decode('utf-8') tag_type = lib.FreeImage_GetTagType(tag) byte_size = lib.FreeImage_GetTagLength(tag) char_ptr = ctypes.c_char * byte_size data = char_ptr.from_address( lib.FreeImage_GetTagValue(tag)) # Convert in a way compatible with Pypy tag_bytes = binary_type(bytearray(data)) # The default value is the raw bytes tag_val = tag_bytes # Convert to a Python value in the metadata dict if tag_type == METADATA_DATATYPE.FIDT_ASCII: tag_val = tag_bytes.decode('utf-8', 'replace') elif tag_type in METADATA_DATATYPE.dtypes: dtype = METADATA_DATATYPE.dtypes[tag_type] if IS_PYPY and isinstance(dtype, (list, tuple)): pass # pragma: no cover - or we get a segfault else: try: tag_val = numpy.fromstring(tag_bytes, dtype=dtype) if len(tag_val) == 1: tag_val = tag_val[0] except Exception: # pragma: no cover pass # Store data in dict subdict = metadata.setdefault(model_name, Dict()) subdict[tag_name] = tag_val # Next more = lib.FreeImage_FindNextMetadata( mdhandle, ctypes.byref(tag)) # Close search handle for current meta model lib.FreeImage_FindCloseMetadata(mdhandle) # Done return metadata def set_meta_data(self, metadata): # Create a dict mapping model_name to number models = {} for name, number in METADATA_MODELS.__dict__.items(): if name.startswith('FIMD_'): models[name[5:]] = number # Create a mapping from numpy.dtype to METADATA_DATATYPE def get_tag_type_number(dtype): for number, numpy_dtype in METADATA_DATATYPE.dtypes.items(): if dtype == numpy_dtype: return number else: return None with self._fi as lib: for model_name, subdict in metadata.items(): # Get model number number = models.get(model_name, None) if number is None: continue # Unknown model, silent ignore for tag_name, tag_val in subdict.items(): # Create new tag tag = lib.FreeImage_CreateTag() tag = ctypes.c_void_p(tag) try: # Convert Python value to FI type, val is_ascii = False if isinstance(tag_val, string_types): try: tag_bytes = tag_val.encode('ascii') is_ascii = True except UnicodeError: pass if is_ascii: tag_type = METADATA_DATATYPE.FIDT_ASCII tag_count = len(tag_bytes) else: if not hasattr(tag_val, 'dtype'): tag_val = numpy.array([tag_val]) tag_type = get_tag_type_number(tag_val.dtype) if tag_type is None: warn('imageio.freeimage warning: Could not ' 'determine tag type of %r.' % tag_name) continue tag_bytes = tag_val.tostring() tag_count = tag_val.size # Set properties lib.FreeImage_SetTagKey(tag, tag_name.encode('utf-8')) lib.FreeImage_SetTagType(tag, tag_type) lib.FreeImage_SetTagCount(tag, tag_count) lib.FreeImage_SetTagLength(tag, len(tag_bytes)) lib.FreeImage_SetTagValue(tag, tag_bytes) # Store tag tag_key = lib.FreeImage_GetTagKey(tag) lib.FreeImage_SetMetadata(number, self._bitmap, tag_key, tag) except Exception as err: # pragma: no cover warn('imagio.freeimage warning: Could not set tag ' '%r: %s, %s' % (tag_name, self._fi._get_error_message(), str(err))) finally: lib.FreeImage_DeleteTag(tag) class FIBitmap(FIBaseBitmap): """ Wrapper for the FI bitmap object. """ def allocate(self, array): # Prepare array assert isinstance(array, numpy.ndarray) shape = array.shape dtype = array.dtype # Get shape and channel info r, c = shape[:2] if len(shape) == 2: n_channels = 1 elif len(shape) == 3: n_channels = shape[2] else: n_channels = shape[0] # Get fi_type try: fi_type = FI_TYPES.fi_types[(dtype.type, n_channels)] self._fi_type = fi_type except KeyError: raise ValueError('Cannot write arrays of given type and shape.') # Allocate bitmap with self._fi as lib: bpp = 8 * dtype.itemsize * n_channels bitmap = lib.FreeImage_AllocateT(fi_type, c, r, bpp, 0, 0, 0) bitmap = ctypes.c_void_p(bitmap) # Check and store if not bitmap: # pragma: no cover raise RuntimeError('Could not allocate bitmap for storage: %s' % self._fi._get_error_message()) self._set_bitmap(bitmap, (lib.FreeImage_Unload, bitmap)) def load_from_filename(self, filename=None): if filename is None: filename = self._filename with self._fi as lib: # Create bitmap bitmap = lib.FreeImage_Load(self._ftype, efn(filename), self._flags) bitmap = ctypes.c_void_p(bitmap) # Check and store if not bitmap: # pragma: no cover raise ValueError('Could not load bitmap "%s": %s' % (self._filename, self._fi._get_error_message())) self._set_bitmap(bitmap, (lib.FreeImage_Unload, bitmap)) # def load_from_bytes(self, bytes): # with self._fi as lib: # # Create bitmap # fimemory = lib.FreeImage_OpenMemory( # ctypes.c_char_p(bytes), len(bytes)) # bitmap = lib.FreeImage_LoadFromMemory( # self._ftype, ctypes.c_void_p(fimemory), self._flags) # bitmap = ctypes.c_void_p(bitmap) # lib.FreeImage_CloseMemory(ctypes.c_void_p(fimemory)) # # # Check # if not bitmap: # raise ValueError('Could not load bitmap "%s": %s' # % (self._filename, self._fi._get_error_message())) # else: # self._set_bitmap(bitmap, (lib.FreeImage_Unload, bitmap)) def save_to_filename(self, filename=None): if filename is None: filename = self._filename ftype = self._ftype bitmap = self._bitmap fi_type = self._fi_type # element type with self._fi as lib: # Check if can write if fi_type == FI_TYPES.FIT_BITMAP: can_write = lib.FreeImage_FIFSupportsExportBPP( ftype, lib.FreeImage_GetBPP(bitmap)) else: can_write = lib.FreeImage_FIFSupportsExportType(ftype, fi_type) if not can_write: raise TypeError('Cannot save image of this format ' 'to this file type') # Save to file res = lib.FreeImage_Save(ftype, bitmap, efn(filename), self._flags) # Check if not res: # pragma: no cover, we do so many checks, this is rare raise RuntimeError('Could not save file "%s": %s' % (self._filename, self._fi._get_error_message())) # def save_to_bytes(self): # ftype = self._ftype # bitmap = self._bitmap # fi_type = self._fi_type # element type # # with self._fi as lib: # # Check if can write # if fi_type == FI_TYPES.FIT_BITMAP: # can_write = lib.FreeImage_FIFSupportsExportBPP(ftype, # lib.FreeImage_GetBPP(bitmap)) # else: # can_write = lib.FreeImage_FIFSupportsExportType(ftype, fi_type) # if not can_write: # raise TypeError('Cannot save image of this format ' # 'to this file type') # # # Extract the bytes # fimemory = lib.FreeImage_OpenMemory(0, 0) # res = lib.FreeImage_SaveToMemory(ftype, bitmap, # ctypes.c_void_p(fimemory), # self._flags) # if res: # N = lib.FreeImage_TellMemory(ctypes.c_void_p(fimemory)) # result = ctypes.create_string_buffer(N) # lib.FreeImage_SeekMemory(ctypes.c_void_p(fimemory), 0) # lib.FreeImage_ReadMemory(result, 1, N, ctypes.c_void_p(fimemory)) # result = result.raw # lib.FreeImage_CloseMemory(ctypes.c_void_p(fimemory)) # # # Check # if not res: # raise RuntimeError('Could not save file "%s": %s' # % (self._filename, self._fi._get_error_message())) # # # Done # return result def get_image_data(self): dtype, shape, bpp = self._get_type_and_shape() array = self._wrap_bitmap_bits_in_array(shape, dtype, False) with self._fi as lib: isle = lib.FreeImage_IsLittleEndian() # swizzle the color components and flip the scanlines to go from # FreeImage's BGR[A] and upside-down internal memory format to # something more normal def n(arr): #return arr[..., ::-1].T # Does not work on numpypy yet if arr.ndim == 1: # pragma: no cover return arr[::-1].T elif arr.ndim == 2: # Always the case here ... return arr[:, ::-1].T elif arr.ndim == 3: # pragma: no cover return arr[:, :, ::-1].T elif arr.ndim == 4: # pragma: no cover return arr[:, :, :, ::-1].T if len(shape) == 3 and isle and dtype.type == numpy.uint8: b = n(array[0]) g = n(array[1]) r = n(array[2]) if shape[0] == 3: return numpy.dstack((r, g, b)) elif shape[0] == 4: a = n(array[3]) return numpy.dstack((r, g, b, a)) else: # pragma: no cover - we check this earlier raise ValueError('Cannot handle images of shape %s' % shape) # We need to copy because array does *not* own its memory # after bitmap is freed. a = n(array).copy() return a def set_image_data(self, array): # Prepare array assert isinstance(array, numpy.ndarray) shape = array.shape dtype = array.dtype with self._fi as lib: isle = lib.FreeImage_IsLittleEndian() # Calculate shape and channels r, c = shape[:2] if len(shape) == 2: n_channels = 1 w_shape = (c, r) elif len(shape) == 3: n_channels = shape[2] w_shape = (n_channels, c, r) else: n_channels = shape[0] def n(arr): # normalise to freeimage's in-memory format return arr[::-1].T wrapped_array = self._wrap_bitmap_bits_in_array(w_shape, dtype, True) # swizzle the color components and flip the scanlines to go to # FreeImage's BGR[A] and upside-down internal memory format # The BGR[A] order is only used for 8bits per channel images # on little endian machines. For everything else RGB[A] is # used. if len(shape) == 3 and isle and dtype.type == numpy.uint8: R = array[:, :, 0] G = array[:, :, 1] B = array[:, :, 2] wrapped_array[0] = n(B) wrapped_array[1] = n(G) wrapped_array[2] = n(R) if shape[2] == 4: A = array[:, :, 3] wrapped_array[3] = n(A) else: wrapped_array[:] = n(array) if self._need_finish: self._finish_wrapped_array(wrapped_array) if len(shape) == 2 and dtype.type == numpy.uint8: with self._fi as lib: palette = lib.FreeImage_GetPalette(self._bitmap) palette = ctypes.c_void_p(palette) if not palette: raise RuntimeError('Could not get image palette') try: palette_data = GREY_PALETTE.ctypes.data except Exception: # pragma: no cover - IS_PYPY palette_data = GREY_PALETTE.__array_interface__['data'][0] ctypes.memmove(palette, palette_data, 1024) def _wrap_bitmap_bits_in_array(self, shape, dtype, save): """Return an ndarray view on the data in a FreeImage bitmap. Only valid for as long as the bitmap is loaded (if single page) / locked in memory (if multipage). This is used in loading data, but also during saving, to prepare a strided numpy array buffer. """ # Get bitmap info with self._fi as lib: pitch = lib.FreeImage_GetPitch(self._bitmap) bits = lib.FreeImage_GetBits(self._bitmap) # Get more info height = shape[-1] byte_size = height * pitch itemsize = dtype.itemsize # Get strides if len(shape) == 3: strides = (itemsize, shape[0]*itemsize, pitch) else: strides = (itemsize, pitch) # Create numpy array and return data = (ctypes.c_char*byte_size).from_address(bits) try: self._need_finish = False if TEST_NUMPY_NO_STRIDES: raise NotImplementedError() return numpy.ndarray(shape, dtype=dtype, buffer=data, strides=strides) except NotImplementedError: # IS_PYPY - not very efficient. We create a C-contiguous # numpy array (because pypy does not support Fortran-order) # and shape it such that the rest of the code can remain. if save: self._need_finish = True # Flag to use _finish_wrapped_array return numpy.zeros(shape, dtype=dtype) else: bytes = binary_type(bytearray(data)) array = numpy.fromstring(bytes, dtype=dtype) # Deal with strides if len(shape) == 3: array.shape = shape[2], strides[-1]/shape[0], shape[0] array2 = array[:shape[2], :shape[1], :shape[0]] array = numpy.zeros(shape, dtype=array.dtype) for i in range(shape[0]): array[i] = array2[:, :, i].T else: array.shape = shape[1], strides[-1] array = array[:shape[1], :shape[0]].T return array def _finish_wrapped_array(self, array): # IS_PYPY """ Hardcore way to inject numpy array in bitmap. """ # Get bitmap info with self._fi as lib: pitch = lib.FreeImage_GetPitch(self._bitmap) bits = lib.FreeImage_GetBits(self._bitmap) bpp = lib.FreeImage_GetBPP(self._bitmap) # Get channels and realwidth nchannels = bpp // 8 // array.itemsize realwidth = pitch // nchannels # Apply padding for pitch if necessary extra = realwidth - array.shape[-2] assert extra >= 0 and extra < 10 # Make sort of Fortran, also take padding (i.e. pitch) into account newshape = array.shape[-1], realwidth, nchannels array2 = numpy.zeros(newshape, array.dtype) if nchannels == 1: array2[:, :array.shape[-2], 0] = array.T else: for i in range(nchannels): array2[:, :array.shape[-2], i] = array[i, :, :].T # copy data data_ptr = array2.__array_interface__['data'][0] ctypes.memmove(bits, data_ptr, array2.nbytes) del array2 def _get_type_and_shape(self): bitmap = self._bitmap # Get info on bitmap with self._fi as lib: w = lib.FreeImage_GetWidth(bitmap) h = lib.FreeImage_GetHeight(bitmap) self._fi_type = fi_type = lib.FreeImage_GetImageType(bitmap) if not fi_type: raise ValueError('Unknown image pixel type') # Determine required props for numpy array bpp = None dtype = FI_TYPES.dtypes[fi_type] if fi_type == FI_TYPES.FIT_BITMAP: with self._fi as lib: bpp = lib.FreeImage_GetBPP(bitmap) has_pallette = lib.FreeImage_GetColorsUsed(bitmap) if has_pallette: # Examine the palette. If it is grayscale, we return as such if has_pallette == 256: palette = lib.FreeImage_GetPalette(bitmap) palette = ctypes.c_void_p(palette) p = (ctypes.c_uint8*(256*4)).from_address(palette.value) p = numpy.frombuffer(p, numpy.uint32) if (GREY_PALETTE == p).all(): extra_dims = [] return numpy.dtype(dtype), extra_dims + [w, h], bpp # Convert bitmap and call this method again newbitmap = lib.FreeImage_ConvertTo32Bits(bitmap) newbitmap = ctypes.c_void_p(newbitmap) self._set_bitmap(newbitmap) return self._get_type_and_shape() elif bpp == 8: extra_dims = [] elif bpp == 24: extra_dims = [3] elif bpp == 32: extra_dims = [4] else: # pragma: no cover #raise ValueError('Cannot convert %d BPP bitmap' % bpp) # Convert bitmap and call this method again newbitmap = lib.FreeImage_ConvertTo32Bits(bitmap) newbitmap = ctypes.c_void_p(newbitmap) self._set_bitmap(newbitmap) return self._get_type_and_shape() else: extra_dims = FI_TYPES.extra_dims[fi_type] # Return dtype and shape return numpy.dtype(dtype), extra_dims + [w, h], bpp def quantize(self, quantizer=0, palettesize=256): """ Quantize the bitmap to make it 8-bit (paletted). Returns a new FIBitmap object. Only for 24 bit images. """ with self._fi as lib: # New bitmap bitmap = lib.FreeImage_ColorQuantizeEx(self._bitmap, quantizer, palettesize, 0, None) bitmap = ctypes.c_void_p(bitmap) # Check and return if not bitmap: raise ValueError('Could not quantize bitmap "%s": %s' % (self._filename, self._fi._get_error_message())) new = FIBitmap(self._fi, self._filename, self._ftype, self._flags) new._set_bitmap(bitmap, (lib.FreeImage_Unload, bitmap)) new._fi_type = self._fi_type return new # def convert_to_32bit(self): # """ Convert to 32bit image. # """ # with self._fi as lib: # # New bitmap # bitmap = lib.FreeImage_ConvertTo32Bits(self._bitmap) # bitmap = ctypes.c_void_p(bitmap) # # # Check and return # if not bitmap: # raise ValueError('Could not convert bitmap to 32bit "%s": %s' % # (self._filename, # self._fi._get_error_message())) # else: # new = FIBitmap(self._fi, self._filename, self._ftype, # self._flags) # new._set_bitmap(bitmap, (lib.FreeImage_Unload, bitmap)) # new._fi_type = self._fi_type # return new class FIMultipageBitmap(FIBaseBitmap): """ Wrapper for the multipage FI bitmap object. """ def load_from_filename(self, filename=None): if filename is None: # pragma: no cover filename = self._filename # Prepare create_new = False read_only = True keep_cache_in_memory = False # Try opening with self._fi as lib: # Create bitmap multibitmap = lib.FreeImage_OpenMultiBitmap(self._ftype, efn(filename), create_new, read_only, keep_cache_in_memory, self._flags) multibitmap = ctypes.c_void_p(multibitmap) # Check if not multibitmap: # pragma: no cover err = self._fi._get_error_message() raise ValueError('Could not open file "%s" as multi-image: %s' % (self._filename, err)) self._set_bitmap(multibitmap, (lib.FreeImage_CloseMultiBitmap, multibitmap)) # def load_from_bytes(self, bytes): # with self._fi as lib: # # Create bitmap # fimemory = lib.FreeImage_OpenMemory( # ctypes.c_char_p(bytes), len(bytes)) # multibitmap = lib.FreeImage_LoadMultiBitmapFromMemory( # self._ftype, ctypes.c_void_p(fimemory), self._flags) # multibitmap = ctypes.c_void_p(multibitmap) # #lib.FreeImage_CloseMemory(ctypes.c_void_p(fimemory)) # self._mem = fimemory # self._bytes = bytes # # Check # if not multibitmap: # raise ValueError('Could not load multibitmap "%s": %s' # % (self._filename, self._fi._get_error_message())) # else: # self._set_bitmap(multibitmap, # (lib.FreeImage_CloseMultiBitmap, multibitmap)) def save_to_filename(self, filename=None): if filename is None: # pragma: no cover filename = self._filename # Prepare create_new = True read_only = False keep_cache_in_memory = False # Open the file # todo: Set flags at close func with self._fi as lib: multibitmap = lib.FreeImage_OpenMultiBitmap(self._ftype, efn(filename), create_new, read_only, keep_cache_in_memory, 0) multibitmap = ctypes.c_void_p(multibitmap) # Check if not multibitmap: # pragma: no cover msg = ('Could not open file "%s" for writing multi-image: %s' % (self._filename, self._fi._get_error_message())) raise ValueError(msg) self._set_bitmap(multibitmap, (lib.FreeImage_CloseMultiBitmap, multibitmap)) def __len__(self): with self._fi as lib: return lib.FreeImage_GetPageCount(self._bitmap) def get_page(self, index): """ Return the sub-bitmap for the given page index. Please close the returned bitmap when done. """ with self._fi as lib: # Create low-level bitmap in freeimage bitmap = lib.FreeImage_LockPage(self._bitmap, index) bitmap = ctypes.c_void_p(bitmap) if not bitmap: # pragma: no cover raise ValueError('Could not open sub-image %i in %r: %s' % (index, self._filename, self._fi._get_error_message())) # Get bitmap object to wrap this bitmap bm = FIBitmap(self._fi, self._filename, self._ftype, self._flags) bm._set_bitmap(bitmap, (lib.FreeImage_UnlockPage, self._bitmap, bitmap, False)) return bm def append_bitmap(self, bitmap): """ Add a sub-bitmap to the multi-page bitmap. """ with self._fi as lib: # no return value lib.FreeImage_AppendPage(self._bitmap, bitmap._bitmap) # Create instance fi = Freeimage() imageio-2.1.2/imageio/plugins/simpleitk.py0000666000000000000000000000707613021637244017312 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Storage of image data in tiff format. """ from __future__ import absolute_import, print_function, division from .. import formats from ..core import Format, has_module _itk = None # Defer loading to load_lib() function. def load_lib(): global _itk try: import SimpleITK as _itk except ImportError: raise ImportError("SimpleITK could not be found. " "Please try " " easy_install SimpleITK " "or refer to " " http://simpleitk.org/ " "for further instructions.") return _itk # Split up in real ITK and all supported formats. ITK_FORMATS = ('.gipl', '.ipl', '.mha', '.mhd', '.nhdr', '.nii', '.nrrd', '.vtk') ALL_FORMATS = ITK_FORMATS + ('.bmp', '.jpeg', '.jpg', '.png', '.tiff', '.tif', '.dicom', '.gdcm') class ItkFormat(Format): """ The ItkFormat uses the simpleITK library to support a range of ITK-related formats. It also supports a few common formats that are also supported by the freeimage plugin (e.g. PNG and JPEG). This format requires the ``simpleITK`` package. Parameters for reading ---------------------- None. Parameters for saving --------------------- None. """ def _can_read(self, request): # If the request is a format that only this plugin can handle, # we report that we can do it; a useful error will be raised # when simpleitk is not installed. For the more common formats # we only report that we can read if the library is installed. if request.filename.lower().endswith(ITK_FORMATS): return True if has_module('SimpleITK'): return request.filename.lower().endswith(ALL_FORMATS) def _can_write(self, request): if request.filename.lower().endswith(ITK_FORMATS): return True if has_module('SimpleITK'): return request.filename.lower().endswith(ALL_FORMATS) # -- reader class Reader(Format.Reader): def _open(self, **kwargs): if not _itk: load_lib() self._img = _itk.ReadImage(self.request.get_local_filename()) def _get_length(self): return 1 def _close(self): pass def _get_data(self, index): # Get data if index != 0: raise IndexError( 'Index out of range while reading from itk file') # Return array and empty meta data return _itk.GetArrayFromImage(self._img), {} def _get_meta_data(self, index): raise RuntimeError('The itk format does not support ' ' meta data.') # -- writer class Writer(Format.Writer): def _open(self): if not _itk: load_lib() def _close(self): pass def _append_data(self, im, meta): _itk_img = _itk.GetImageFromArray(im, isVector=True) _itk.WriteImage(_itk_img, self.request.get_local_filename()) def set_meta_data(self, meta): raise RuntimeError('The itk format does not support ' ' meta data.') # Register title = "Insight Segmentation and Registration Toolkit (ITK) format" format = ItkFormat('itk', title, ' '.join(ALL_FORMATS), 'iIvV') formats.add_format(format) imageio-2.1.2/imageio/plugins/npz.py0000666000000000000000000000633512615243100016105 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Storage of image data in npz format. Not a great format, but at least it supports volumetric data. And its less than 100 lines. """ from __future__ import absolute_import, print_function, division import numpy as np from .. import formats from ..core import Format class NpzFormat(Format): """ NPZ is a file format by numpy that provides storage of array data using gzip compression. This imageio plugin supports data of any shape, and also supports multiple images per file. However, the npz format does not provide streaming; all data is read/written at once. Further, there is no support for meta data. Beware that the numpy npz format has a bug on a certain combination of Python 2.7 and numpy, which can cause the resulting files to become unreadable on Python 3. Also, this format is not available on Pypy. Parameters for reading ---------------------- None Parameters for saving --------------------- None """ def _can_read(self, request): # We support any kind of image data return request.filename.lower().endswith(self.extensions) def _can_write(self, request): # We support any kind of image data return request.filename.lower().endswith(self.extensions) # -- reader class Reader(Format.Reader): def _open(self): # Load npz file, which provides another file like object self._npz = np.load(self.request.get_file()) assert isinstance(self._npz, np.lib.npyio.NpzFile) # Get list of names, ordered by name, but smarter sorter = lambda x: x.split('_')[-1] self._names = sorted(self._npz.files, key=sorter) def _close(self): self._npz.close() def _get_length(self): return len(self._names) def _get_data(self, index): # Get data if index < 0 or index >= len(self._names): raise IndexError('Index out of range while reading from nzp') im = self._npz[self._names[index]] # Return array and empty meta data return im, {} def _get_meta_data(self, index): # Get the meta data for the given index raise RuntimeError('The npz format does not support meta data.') # -- writer class Writer(Format.Writer): def _open(self): # Npz is not such a great format. We cannot stream to the file. # So we remember all images and write them to file at the end. self._images = [] def _close(self): # Write everything np.savez_compressed(self.request.get_file(), *self._images) def _append_data(self, im, meta): self._images.append(im) # discart meta data def set_meta_data(self, meta): raise RuntimeError('The npz format does not support meta data.') # Register format = NpzFormat('npz', "Numpy's compressed array format", 'npz', 'iIvV') formats.add_format(format) imageio-2.1.2/imageio/plugins/gdal.py0000666000000000000000000000346013021637244016211 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for reading gdal files. """ from __future__ import absolute_import, print_function, division from .. import formats from ..core import Format, has_module _gdal = None # lazily loaded in load_lib() def load_lib(): global _gdal try: import osgeo.gdal as _gdal except ImportError: raise ImportError("The GDAL format relies on the GDAL package." "Please refer to http://www.gdal.org/" "for further instructions.") return _gdal GDAL_FORMATS = ('.tiff', ' .tif', '.img', '.ecw', '.jpg', '.jpeg') class GdalFormat(Format): """ Parameters for reading ---------------------- None """ def _can_read(self, request): if request.filename.lower().endswith('.ecw'): return True if has_module('osgeo.gdal'): return request.filename.lower().endswith(self.extensions) def _can_write(self, request): return False # -- class Reader(Format.Reader): def _open(self): if not _gdal: load_lib() self._ds = _gdal.Open(self.request.get_local_filename()) def _close(self): del self._ds def _get_length(self): return 1 def _get_data(self, index): if index != 0: raise IndexError('Gdal file contains only one dataset') return self._ds.ReadAsArray(), self._get_meta_data(index) def _get_meta_data(self, index): return self._ds.GetMetadata() # Add this format formats.add_format(GdalFormat( 'gdal', 'Geospatial Data Abstraction Library', ' '.join(GDAL_FORMATS), 'iIvV')) imageio-2.1.2/imageio/plugins/pillow.py0000666000000000000000000004374413037664130016622 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2016, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin that wraps the the Pillow library. """ from __future__ import absolute_import, print_function, division from warnings import warn import numpy as np from .. import formats from ..core import Format, image_as_uint # Get info about pillow formats without having to import PIL from .pillow_info import pillow_formats, pillow_docs # todo: Pillow ImageGrab module supports grabbing the screen on Win and OSX. class PillowFormat(Format): """ Base format class for Pillow formats. """ _pillow_imported = False _Image = None _modes = 'i' _description = '' @property def plugin_id(self): """ The PIL plugin id. """ return self._plugin_id # Set when format is created def _init_pillow(self): if not self._pillow_imported: self._pillow_imported = True # more like tried to import import PIL if not hasattr(PIL, 'PILLOW_VERSION'): raise ImportError('Imageio Pillow requires Pillow, not PIL!') from PIL import Image self._Image = Image elif self._Image is None: raise RuntimeError('Imageio Pillow plugin requires Pillow lib.') Image = self._Image if self.plugin_id in ('PNG', 'JPEG', 'BMP', 'GIF', 'PPM'): Image.preinit() else: Image.init() return Image def _can_read(self, request): Image = self._init_pillow() if request.mode[1] in (self.modes + '?'): if self.plugin_id in Image.OPEN: factory, accept = Image.OPEN[self.plugin_id] if accept: if request.firstbytes and accept(request.firstbytes): return True def _can_write(self, request): Image = self._init_pillow() if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): if self.plugin_id in Image.SAVE: return True class Reader(Format.Reader): def _open(self, **kwargs): Image = self.format._init_pillow() try: factory, accept = Image.OPEN[self.format.plugin_id] except KeyError: raise RuntimeError('Format %s cannot read images.' % self.format.name) self._fp = self.request.get_file() self._im = factory(self._fp, '') if hasattr(Image, '_decompression_bomb_check'): Image._decompression_bomb_check(self._im.size) pil_try_read(self._im) self._grayscale = _palette_is_grayscale(self._im) # Set length self._length = 1 if hasattr(self._im, 'n_frames'): self._length = self._im.n_frames def _close(self): self._im.close() # request object handled closing the _fp def _get_length(self): return self._length def _seek(self, index): try: self._im.seek(index) except EOFError: raise IndexError('Could not seek to index %i' % index) def _get_data(self, index): if index >= self._length: raise IndexError('Image index %i > %i' % (index, self._length)) i = self._im.tell() if i > index: self._seek(index) # just try else: while i < index: # some formats need to be read in sequence i += 1 self._seek(i) self._im.getdata()[0] im = pil_get_frame(self._im, self._grayscale) return im, self._im.info def _get_meta_data(self, index): if not (index is None or index == 0): raise IndexError() return self._im.info class Writer(Format.Writer): def _open(self, **kwargs): Image = self.format._init_pillow() try: self._save_func = Image.SAVE[self.format.plugin_id] except KeyError: raise RuntimeError('Format %s cannot write images.' % self.format.name) self._fp = self.request.get_file() self._meta = {} self._meta.update(kwargs) self._written = False def _close(self): pass # request object handled closing _fp def _append_data(self, im, meta): if self._written: raise RuntimeError('Format %s only supports single images.' % self.format.name) # Pop unit dimension for grayscale images if im.ndim == 3 and im.shape[-1] == 1: im = im[:, :, 0] self._written = True self._meta.update(meta) img = ndarray_to_pil(im, self.format.plugin_id) if 'bits' in self._meta: img = img.quantize() # Make it a P image, so bits arg is used img.save(self._fp, format=self.format.plugin_id, **self._meta) img.close() def set_meta_data(self, meta): self._meta.update(meta) class PNGFormat(PillowFormat): """A PNG format based on Pillow. This format supports grayscale, RGB and RGBA images. Parameters for reading ---------------------- ignoregamma : bool Avoid gamma correction. Default False. Parameters for saving --------------------- optimize : bool If present and true, instructs the PNG writer to make the output file as small as possible. This includes extra processing in order to find optimal encoder settings. transparency: This option controls what color image to mark as transparent. dpi: tuple of two scalars The desired dpi in each direction. pnginfo: PIL.PngImagePlugin.PngInfo Object containing text tags. compress_level: int ZLIB compression level, a number between 0 and 9: 1 gives best speed, 9 gives best compression, 0 gives no compression at all. Default is 9. When ``optimize`` option is True ``compress_level`` has no effect (it is set to 9 regardless of a value passed). compression: int Compatibility with the freeimage PNG format. If given, it overrides compress_level. icc_profile: The ICC Profile to include in the saved file. bits (experimental): int This option controls how many bits to store. If omitted, the PNG writer uses 8 bits (256 colors). quantize: Compatibility with the freeimage PNG format. If given, it overrides bits. In this case, given as a number between 1-256. dictionary (experimental): dict Set the ZLIB encoder dictionary. """ class Reader(PillowFormat.Reader): def _open(self, ignoregamma=False): return PillowFormat.Reader._open(self) def _get_data(self, index): im, info = PillowFormat.Reader._get_data(self, index) if not self.request.kwargs.get('ignoregamma', False): try: gamma = float(info['gamma']) except (KeyError, ValueError): pass else: scale = float(65536 if im.dtype == np.uint16 else 255) gain = 1.0 im = ((im / scale) ** gamma) * scale * gain return im, info # -- class Writer(PillowFormat.Writer): def _open(self, compression=None, quantize=None, interlaced=False, **kwargs): # Better default for compression kwargs['compress_level'] = kwargs.get('compress_level', 9) if compression is not None: if compression < 0 or compression > 9: raise ValueError('Invalid PNG compression level: %r' % compression) kwargs['compress_level'] = compression if quantize is not None: for bits in range(1, 9): if 2**bits == quantize: break else: raise ValueError('PNG quantize must be power of two, ' 'not %r' % quantize) kwargs['bits'] = bits if interlaced: warn('PIL PNG writer cannot produce interlaced images.') ok_keys = ('optimize', 'transparency', 'dpi', 'pnginfo', 'bits', 'compress_level', 'icc_profile', 'dictionary') for key in kwargs: if key not in ok_keys: raise TypeError('Invalid arg for PNG writer: %r' % key) return PillowFormat.Writer._open(self, **kwargs) def _append_data(self, im, meta): if str(im.dtype) == 'uint16' and (im.ndim == 2 or im.shape[-1] == 1): im = image_as_uint(im, bitdepth=16) else: im = image_as_uint(im, bitdepth=8) PillowFormat.Writer._append_data(self, im, meta) class JPEGFormat(PillowFormat): """A JPEG format based on Pillow. This format supports grayscale, RGB and RGBA images. Parameters for reading ---------------------- exifrotate : bool Automatically rotate the image according to exif flag. Default True. Parameters for saving --------------------- quality : scalar The compression factor of the saved image (1..100), higher numbers result in higher quality but larger file size. Default 75. progressive : bool Save as a progressive JPEG file (e.g. for images on the web). Default False. optimize : bool On saving, compute optimal Huffman coding tables (can reduce a few percent of file size). Default False. dpi : tuplw of int The pixel density, ``(x,y)``. icc_profile : object If present and true, the image is stored with the provided ICC profile. If this parameter is not provided, the image will be saved with no profile attached. exif : dict If present, the image will be stored with the provided raw EXIF data. subsampling : str Sets the subsampling for the encoder. See Pillow docs for details. qtables : object Set the qtables for the encoder. See Pillow docs for details. """ class Reader(PillowFormat.Reader): def _open(self, exifrotate=True): return PillowFormat.Reader._open(self) def _get_data(self, index): im, info = PillowFormat.Reader._get_data(self, index) # Handle exif if 'exif' in info: from PIL.ExifTags import TAGS info['EXIF_MAIN'] = {} for tag, value in self._im._getexif().items(): decoded = TAGS.get(tag, tag) info['EXIF_MAIN'][decoded] = value im = self._rotate(im, info) return im, info def _rotate(self, im, meta): """ Use Orientation information from EXIF meta data to orient the image correctly. Similar code as in FreeImage plugin. """ if self.request.kwargs.get('exifrotate', True): try: ori = meta['EXIF_MAIN']['Orientation'] except KeyError: # pragma: no cover pass # Orientation not available else: # pragma: no cover - we cannot touch all cases # www.impulseadventure.com/photo/exif-orientation.html if ori in [1, 2]: pass if ori in [3, 4]: im = np.rot90(im, 2) if ori in [5, 6]: im = np.rot90(im, 3) if ori in [7, 8]: im = np.rot90(im) if ori in [2, 4, 5, 7]: # Flipped cases (rare) im = np.fliplr(im) return im # -- class Writer(PillowFormat.Writer): def _open(self, quality=75, progressive=False, optimize=False, **kwargs): # Check quality - in Pillow it should be no higher than 95 quality = int(quality) if quality < 1 or quality > 100: raise ValueError('JPEG quality should be between 1 and 100.') quality = min(95, max(1, quality)) kwargs['quality'] = quality kwargs['progressive'] = bool(progressive) kwargs['optimize'] = bool(progressive) return PillowFormat.Writer._open(self, **kwargs) def _append_data(self, im, meta): if im.ndim == 3 and im.shape[-1] == 4: raise IOError('JPEG does not support alpha channel.') im = image_as_uint(im, bitdepth=8) PillowFormat.Writer._append_data(self, im, meta) return ## Func from skimage # This cells contains code from scikit-image, in particular from # http://github.com/scikit-image/scikit-image/blob/master/ # skimage/io/_plugins/pil_plugin.py # The scikit-image license applies. def pil_try_read(im): try: # this will raise an IOError if the file is not readable im.getdata()[0] except IOError as e: site = "http://pillow.readthedocs.org/en/latest/installation.html" site += "#external-libraries" pillow_error_message = str(e) error_message = ('Could not load "%s" \n' 'Reason: "%s"\n' 'Please see documentation at: %s' % (im.filename, pillow_error_message, site)) raise ValueError(error_message) def _palette_is_grayscale(pil_image): if pil_image.mode != 'P': return False # get palette as an array with R, G, B columns palette = np.asarray(pil_image.getpalette()).reshape((256, 3)) # Not all palette colors are used; unused colors have junk values. start, stop = pil_image.getextrema() valid_palette = palette[start:stop] # Image is grayscale if channel differences (R - G and G - B) # are all zero. return np.allclose(np.diff(valid_palette), 0) def pil_get_frame(im, grayscale, dtype=None): frame = im if im.format == 'PNG' and im.mode == 'I' and dtype is None: dtype = 'uint16' if im.mode == 'P': if grayscale is None: grayscale = _palette_is_grayscale(im) if grayscale: frame = im.convert('L') else: if im.palette.mode in ('RGB', 'RGBA'): # We can do this ourselves. Pillow seems to sometimes screw # this up if a multi-gif has a pallete for each frame ... # Create palette array p = np.frombuffer(im.palette.getdata()[1], np.uint8) p.shape = -1, len(im.palette.mode) if p.shape[1] == 3: p = np.column_stack((p, 255*np.ones(p.shape[0], p.dtype))) # Apply palette frame_paletted = np.array(im, np.uint8) frame = p[frame_paletted] else: # Let Pillow do it. Unlinke skimage, we always convert # to RGBA; palettes can be RGBA. if True: # im.format == 'PNG' and 'transparency' in im.info: frame = im.convert('RGBA') else: frame = im.convert('RGB') elif im.mode == '1': frame = im.convert('L') elif 'A' in im.mode: frame = im.convert('RGBA') elif im.mode == 'CMYK': frame = im.convert('RGB') if im.mode.startswith('I;16'): shape = im.size dtype = '>u2' if im.mode.endswith('B') else '= 0: arr = arr.astype(np.uint8) mode = mode_base = 'L' else: arr = image_as_uint(arr, bitdepth=16) else: arr = image_as_uint(arr, bitdepth=8) mode = 'L' mode_base = 'L' array_buffer = arr.tobytes() if arr.ndim == 2: im = Image.new(mode_base, arr.T.shape) im.frombytes(array_buffer, 'raw', mode) else: image_shape = (arr.shape[1], arr.shape[0]) im = Image.frombytes(mode, image_shape, array_buffer) return im ## End of code from scikit-image from .pillowmulti import GIFFormat, TIFFFormat IGNORE_FORMATS = 'MPEG' SPECIAL_FORMATS = dict(PNG=PNGFormat, JPEG=JPEGFormat, GIF=GIFFormat, TIFF=TIFFFormat) def register_pillow_formats(): for id, summary, ext in pillow_formats: if id in IGNORE_FORMATS: continue FormatCls = SPECIAL_FORMATS.get(id, PillowFormat) summary = FormatCls._description or summary format = FormatCls(id + '-PIL', summary, ext, FormatCls._modes) format._plugin_id = id if FormatCls is PillowFormat or not FormatCls.__doc__: format.__doc__ = pillow_docs[id] formats.add_format(format) register_pillow_formats() imageio-2.1.2/imageio/plugins/__init__.py0000666000000000000000000000712113022650722017034 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. # flake8: noqa """ Imagio is plugin-based. Every supported format is provided with a plugin. You can write your own plugins to make imageio support additional formats. And we would be interested in adding such code to the imageio codebase! What is a plugin ---------------- In imageio, a plugin provides one or more :class:`.Format` objects, and corresponding :class:`.Reader` and :class:`.Writer` classes. Each Format object represents an implementation to read/write a particular file format. Its Reader and Writer classes do the actual reading/saving. The reader and writer objects have a ``request`` attribute that can be used to obtain information about the read or write :class:`.Request`, such as user-provided keyword arguments, as well get access to the raw image data. Registering ----------- Strictly speaking a format can be used stand alone. However, to allow imageio to automatically select it for a specific file, the format must be registered using ``imageio.formats.add_format()``. Note that a plugin is not required to be part of the imageio package; as long as a format is registered, imageio can use it. This makes imageio very easy to extend. What methods to implement -------------------------- Imageio is designed such that plugins only need to implement a few private methods. The public API is implemented by the base classes. In effect, the public methods can be given a descent docstring which does not have to be repeated at the plugins. For the Format class, the following needs to be implemented/specified: * The format needs a short name, a description, and a list of file extensions that are common for the file-format in question. These ase set when instantiation the Format object. * Use a docstring to provide more detailed information about the format/plugin, such as parameters for reading and saving that the user can supply via keyword arguments. * Implement ``_can_read(request)``, return a bool. See also the :class:`.Request` class. * Implement ``_can_write(request)``, dito. For the Format.Reader class: * Implement ``_open(**kwargs)`` to initialize the reader. Deal with the user-provided keyword arguments here. * Implement ``_close()`` to clean up. * Implement ``_get_length()`` to provide a suitable length based on what the user expects. Can be ``inf`` for streaming data. * Implement ``_get_data(index)`` to return an array and a meta-data dict. * Implement ``_get_meta_data(index)`` to return a meta-data dict. If index is None, it should return the 'global' meta-data. For the Format.Writer class: * Implement ``_open(**kwargs)`` to initialize the writer. Deal with the user-provided keyword arguments here. * Implement ``_close()`` to clean up. * Implement ``_append_data(im, meta)`` to add data (and meta-data). * Implement ``_set_meta_data(meta)`` to set the global meta-data. """ # First import plugins that we want to take precedence over freeimage from . import tifffile from . import pillow from . import freeimage from . import freeimagemulti from . import ffmpeg from . import avbin from . import dicom from . import npz from . import swf from . import feisem # special kind of tiff, uses _tiffile from . import fits # depends on astropy from . import simpleitk # depends on SimpleITK from . import gdal # depends on gdal from . import example # Sort import os from .. import formats formats.sort(*os.getenv('IMAGEIO_FORMAT_ORDER', '').split(',')) del os, formats imageio-2.1.2/imageio/plugins/feisem.py0000666000000000000000000000672513022635612016557 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2016, imageio contributors # imageio is distributed under the terms of the (new) BSD License. from __future__ import absolute_import, unicode_literals from .tifffile import TiffFormat from .. import formats class FEISEMFormat(TiffFormat): """Provide read support for TIFFs produced by an FEI SEM microscope. This format is based on TIFF, and supports the same parameters. FEI microscopes append metadata as ASCII text at the end of the file, which this reader correctly extracts. Parameters for get_data ----------------------- discard_watermark : bool If True (default), discard the bottom rows of the image, which contain no image data, only a watermark with metadata. watermark_height : int The height in pixels of the FEI watermark. The default is 70. """ def _can_write(self, request): return False # FEI-SEM only supports reading class Reader(TiffFormat.Reader): def _get_data(self, index=0, discard_watermark=True, watermark_height=70): """Get image and metadata from given index. FEI images usually (always?) contain a watermark at the bottom of the image, 70 pixels high. We discard this by default as it does not contain any information not present in the metadata. """ im, meta = super(FEISEMFormat.Reader, self)._get_data(index) if discard_watermark: im = im[:-watermark_height] return im, meta def _get_meta_data(self, index=None): """Read the metadata from an FEI SEM TIFF. This metadata is included as ASCII text at the end of the file. The index, if provided, is ignored. Returns ------- metadata : dict Dictionary of metadata. """ md = {'root': {}} current_tag = 'root' reading_metadata = False filename = self.request.get_local_filename() with open(filename, 'rb') as fin: for line in fin: if not reading_metadata: if not line.startswith(b'Date='): continue else: reading_metadata = True line = line.rstrip().decode() if line.startswith('['): current_tag = line.lstrip('[').rstrip(']') md[current_tag] = {} else: if line and line != '\x00': # ignore blank lines key, val = line.split('=') for tag_type in (int, float): try: val = tag_type(val) except ValueError: continue else: break md[current_tag][key] = val if not md['root'] and len(md) == 1: raise ValueError( 'Input file %s contains no FEI metadata.' % filename) self._meta.update(md) return md # Register plugin format = FEISEMFormat('fei', 'FEI-SEM TIFF format', extensions=['.tif', '.tiff'], modes='iv') formats.add_format(format) imageio-2.1.2/imageio/plugins/ffmpeg.py0000666000000000000000000010606313044620232016543 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin that uses ffmpeg to read and write series of images to a wide range of video formats. Code inspired/based on code from moviepy: https://github.com/Zulko/moviepy/ by Zulko """ from __future__ import absolute_import, print_function, division import sys import os import stat import re import time import threading import subprocess as sp import logging import numpy as np from .. import formats from ..core import (Format, get_remote_file, string_types, read_n_bytes, image_as_uint, get_platform, CannotReadFrameError, InternetNotAllowedError, NeedDownloadError) FNAME_PER_PLATFORM = { 'osx32': 'ffmpeg.osx', 'osx64': 'ffmpeg.osx', 'win32': 'ffmpeg.win32.exe', 'win64': 'ffmpeg.win32.exe', 'linux32': 'ffmpeg.linux32', 'linux64': 'ffmpeg.linux64', } def limit_lines(lines, N=32): """ When number of lines > 2*N, reduce to N. """ if len(lines) > 2*N: lines = [b'... showing only last few lines ...'] + lines[-N:] return lines def download(): """ Download the ffmpeg exe to your computer. """ plat = get_platform() if not (plat and plat in FNAME_PER_PLATFORM): raise RuntimeError("FFMPEG exe isn't available for platform %s" % plat) get_remote_file('ffmpeg/' + FNAME_PER_PLATFORM[plat]) def get_exe(): """ Get ffmpeg exe """ # Is the ffmpeg exe overridden? exe = os.getenv('IMAGEIO_FFMPEG_EXE', None) if exe: # pragma: no cover return exe # Check if ffmpeg is in PATH try: with open(os.devnull, "w") as null: sp.check_call(["ffmpeg", "-version"], stdout=null, stderr=sp.STDOUT) return "ffmpeg" # ValueError is raised on failure on OS X through Python 2.7.11 # https://bugs.python.org/issue26083 except (OSError, ValueError, sp.CalledProcessError): pass plat = get_platform() if plat and plat in FNAME_PER_PLATFORM: try: exe = get_remote_file('ffmpeg/' + FNAME_PER_PLATFORM[plat], auto=False) os.chmod(exe, os.stat(exe).st_mode | stat.S_IEXEC) # executable return exe except NeedDownloadError: raise NeedDownloadError('Need ffmpeg exe. ' 'You can download it by calling:\n' ' imageio.plugins.ffmpeg.download()') except InternetNotAllowedError: pass # explicitly disallowed by user except OSError as err: # pragma: no cover logging.warning("Warning: could not find imageio's " "ffmpeg executable:\n%s" % str(err)) # Fallback, let's hope the system has ffmpeg return 'ffmpeg' # Get camera format if sys.platform.startswith('win'): CAM_FORMAT = 'dshow' # dshow or vfwcap elif sys.platform.startswith('linux'): CAM_FORMAT = 'video4linux2' elif sys.platform.startswith('darwin'): CAM_FORMAT = 'avfoundation' else: # pragma: no cover CAM_FORMAT = 'unknown-cam-format' class FfmpegFormat(Format): """ The ffmpeg format provides reading and writing for a wide range of movie formats such as .avi, .mpeg, .mp4, etc. And also to read streams from webcams and USB cameras. To read from camera streams, supply "" as the filename, where the "0" can be replaced with any index of cameras known to the system. Note that for reading regular video files, the avbin plugin is more efficient. By setting the environment variable 'IMAGEIO_FFMPEG_EXE' the ffmpeg executable to use can be overridden. E.g. ``os.environ['IMAGEIO_FFMPEG_EXE'] = '/path/to/my/ffmpeg'`` Otherwise, imageio will look for ffmpeg on the system path and then download ffmpeg if not found. Parameters for reading ---------------------- loop : bool If True, the video will rewind as soon as a frame is requested beyond the last frame. Otherwise, IndexError is raised. Default False. size : str | tuple The frame size (i.e. resolution) to read the images, e.g. (100, 100) or "640x480". For camera streams, this allows setting the capture resolution. For normal video data, ffmpeg will rescale the data. pixelformat : str The pixel format for the camera to use (e.g. "yuyv422" or "gray"). The camera needs to support the format in order for this to take effect. Note that the images produced by this reader are always rgb8. print_info : bool Print information about the video file as reported by ffmpeg. Parameters for saving --------------------- fps : scalar The number of frames per second. Default 10. codec : str the video codec to use. Default 'libx264', which represents the widely available mpeg4. Except when saving .wmv files, then the defaults is 'msmpeg4' which is more commonly supported for windows quality : float | None Video output quality. Default is 5. Uses variable bit rate. Highest quality is 10, lowest is 0. Set to None to prevent variable bitrate flags to FFMPEG so you can manually specify them using ffmpeg_params instead. Specifying a fixed bitrate using 'bitrate' disables this parameter. bitrate : int | None Set a constant bitrate for the video encoding. Default is None causing 'quality' parameter to be used instead. Better quality videos with smaller file sizes will result from using the 'quality' variable bitrate parameter rather than specifiying a fixed bitrate with this parameter. pixelformat: str The output video pixel format. Default is 'yuv420p' which most widely supported by video players. ffmpeg_params: list List additional arguments to ffmpeg for output file options. Example ffmpeg arguments to use only intra frames and set aspect ratio: ['-intra', '-aspect', '16:9'] ffmpeg_log_level: str Sets ffmpeg output log level. Default is "warning". Values can be "quiet", "panic", "fatal", "error", "warning", "info" "verbose", or "debug". Also prints the FFMPEG command being used by imageio if "info", "verbose", or "debug". macro_block_size: int Size constraint for video. Width and height, must be divisible by this number. If not divisible by this number imageio will tell ffmpeg to scale the image up to the next closest size divisible by this number. Most codecs are compatible with a macroblock size of 16 (default), some can go smaller (4, 8). To disable this automatic feature set it to None, however be warned many players can't decode videos that are odd in size and some codecs will produce poor results or fail. See https://en.wikipedia.org/wiki/Macroblock. """ def _can_read(self, request): if request.mode[1] not in 'I?': return False # Read from video stream? # Note that we could write the _video flag here, but a user might # select this format explicitly (and this code is not run) if request.filename in ['' % i for i in range(10)]: return True # Read from file that we know? if request.filename.lower().endswith(self.extensions): return True def _can_write(self, request): if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): return True # -- class Reader(Format.Reader): _exe = None @classmethod def _get_exe(cls): cls._exe = cls._exe or get_exe() return cls._exe def _get_cam_inputname(self, index): if sys.platform.startswith('linux'): return '/dev/' + self.request._video[1:-1] elif sys.platform.startswith('win'): # Ask ffmpeg for list of dshow device names cmd = [self._exe, '-list_devices', 'true', '-f', CAM_FORMAT, '-i', 'dummy'] proc = sp.Popen(cmd, stdin=sp.PIPE, stdout=sp.PIPE, stderr=sp.PIPE) proc.stdout.readline() proc.terminate() infos = proc.stderr.read().decode('utf-8') # Parse the result device_names = [] in_video_devices = False for line in infos.splitlines(): if line.startswith('[dshow'): line = line.split(']', 1)[1].strip() if line.startswith('"'): if in_video_devices: device_names.append(line[1:-1]) elif 'video devices' in line: in_video_devices = True else: in_video_devices = False # Return device name at index try: name = device_names[index] except IndexError: raise IndexError('No ffdshow camera at index %i.' % index) return 'video=%s' % name elif sys.platform.startswith('darwin'): # Appears that newer ffmpeg builds don't support -list-devices # on OS X. But you can directly open the camera by index. name = str(index) return name else: # pragma: no cover return '??' def _open(self, loop=False, size=None, pixelformat=None, print_info=False): # Get exe self._exe = self._get_exe() # Process input args self._arg_loop = bool(loop) if size is None: self._arg_size = None elif isinstance(size, tuple): self._arg_size = "%ix%i" % size elif isinstance(size, string_types) and 'x' in size: self._arg_size = size else: raise ValueError('FFMPEG size must be tuple of "NxM"') if pixelformat is None: pass elif not isinstance(pixelformat, string_types): raise ValueError('FFMPEG pixelformat must be str') self._arg_pixelformat = pixelformat # Write "_video"_arg self.request._video = None if self.request.filename in ['' % i for i in range(10)]: self.request._video = self.request.filename # Get local filename if self.request._video: index = int(self.request._video[-2]) self._filename = self._get_cam_inputname(index) else: self._filename = self.request.get_local_filename() # Determine pixel format and depth self._pix_fmt = 'rgb24' self._depth = 4 if self._pix_fmt == "rgba" else 3 # Initialize parameters self._proc = None self._pos = -1 self._meta = {'plugin': 'ffmpeg', 'nframes': float('inf')} self._lastread = None # Start ffmpeg subprocess and get meta information self._initialize() self._load_infos() # For cameras, create thread that keeps reading the images self._frame_catcher = None if self.request._video: w, h = self._meta['size'] framesize = self._depth * w * h self._frame_catcher = FrameCatcher(self._proc.stdout, framesize) def _close(self): self._terminate() # Short timeout self._proc = None def _get_length(self): return self._meta['nframes'] def _get_data(self, index): """ Reads a frame at index. Note for coders: getting an arbitrary frame in the video with ffmpeg can be painfully slow if some decoding has to be done. This function tries to avoid fectching arbitrary frames whenever possible, by moving between adjacent frames. """ # Modulo index (for looping) if self._meta['nframes'] and self._meta['nframes'] < float('inf'): if self._arg_loop: index = index % self._meta['nframes'] if index == self._pos: return self._lastread, {} elif index < 0: raise IndexError('Frame index must be > 0') elif index >= self._meta['nframes']: raise IndexError('Reached end of video') else: if (index < self._pos) or (index > self._pos+100): self._reinitialize(index) else: self._skip_frames(index-self._pos-1) result = self._read_frame() self._pos = index return result, {} def _get_meta_data(self, index): return self._meta def _initialize(self): """ Opens the file, creates the pipe. """ # Create input args if self.request._video: iargs = ['-f', CAM_FORMAT] if self._arg_pixelformat: iargs.extend(['-pix_fmt', self._arg_pixelformat]) if self._arg_size: iargs.extend(['-s', self._arg_size]) else: iargs = [] # Output args, for writing to pipe oargs = ['-f', 'image2pipe', '-pix_fmt', self._pix_fmt, '-vcodec', 'rawvideo'] oargs.extend(['-s', self._arg_size] if self._arg_size else []) # Create process cmd = [self._exe] + iargs + ['-i', self._filename] + oargs + ['-'] self._proc = sp.Popen(cmd, stdin=sp.PIPE, stdout=sp.PIPE, stderr=sp.PIPE) # Create thread that keeps reading from stderr self._stderr_catcher = StreamCatcher(self._proc.stderr) def _reinitialize(self, index=0): """ Restarts the reading, starts at an arbitrary location (!! SLOW !!) """ if self.request._video: raise RuntimeError('No random access when streaming from cam.') self._close() if index == 0: self._initialize() else: starttime = index / self._meta['fps'] # Create input args -> start time # Need minimum 6 significant digits accurate frame seeking # and to support higher fps videos # Also appears this epsilon below is needed to ensure frame # accurate seeking in some cases epsilon = -1/self._meta['fps']*0.1 iargs = ['-ss', "%.06f" % (starttime+epsilon), '-i', self._filename, ] # Output args, for writing to pipe oargs = ['-f', 'image2pipe', '-pix_fmt', self._pix_fmt, '-vcodec', 'rawvideo'] oargs.extend(['-s', self._arg_size] if self._arg_size else []) # Create process cmd = [self._exe] cmd += iargs + oargs + ['-'] self._proc = sp.Popen(cmd, stdin=sp.PIPE, stdout=sp.PIPE, stderr=sp.PIPE) # Create thread that keeps reading from stderr self._stderr_catcher = StreamCatcher(self._proc.stderr) def _terminate(self): """ Terminate the sub process. """ # Check if self._proc is None: # pragma: no cover return # no process if self._proc.poll() is not None: return # process already dead # Terminate process # Using kill since self._proc.terminate() does not seem # to work for ffmpeg, leaves processes hanging self._proc.kill() # Tell threads to stop when they have a chance. They are probably # blocked on reading from their file, but let's play it safe. if self._stderr_catcher: self._stderr_catcher.stop_me() if self._frame_catcher: self._frame_catcher.stop_me() def _load_infos(self): """ reads the FFMPEG info on the file and sets size fps duration and nframes. """ # Wait for the catcher to get the meta information etime = time.time() + 4.0 while (not self._stderr_catcher.header) and time.time() < etime: time.sleep(0.01) # Check whether we have the information infos = self._stderr_catcher.header if not infos: self._terminate() if self.request._video: ffmpeg_err = 'FFMPEG STDERR OUTPUT:\n' + \ self._stderr_catcher.get_text(.1)+"\n" if "darwin" in sys.platform: if "Unknown input format: 'avfoundation'" in \ ffmpeg_err: ffmpeg_err += "Try installing FFMPEG using " \ "home brew to get a version with " \ "support for cameras." raise IndexError('No video4linux camera at %s.\n\n%s' % (self.request._video, ffmpeg_err)) else: err2 = self._stderr_catcher.get_text(0.2) fmt = 'Could not load meta information\n=== stderr ===\n%s' raise IOError(fmt % err2) if self.request.kwargs.get('print_info', False): # print the whole info text returned by FFMPEG print(infos) print('-'*80) lines = infos.splitlines() if "No such file or directory" in lines[-1]: if self.request._video: raise IOError("Could not open steam %s." % self._filename) else: # pragma: no cover - this is checked by Request raise IOError("%s not found! Wrong path?" % self._filename) # Get version ver = lines[0].split('version', 1)[-1].split('Copyright')[0] self._meta['ffmpeg_version'] = ver.strip() + ' ' + lines[1].strip() # get the output line that speaks about video videolines = [l for l in lines if ' Video: ' in l] line = videolines[0] # get the frame rate matches = re.findall(" ([0-9]+\.?[0-9]*) (tbr|fps)", line) fps = 0 if matches: # Can be empty, see #171, assume nframes = inf fps = float(matches[0][0].strip()) self._meta['fps'] = fps # get the size of the original stream, of the form 460x320 (w x h) match = re.search(" [0-9]*x[0-9]*(,| )", line) parts = line[match.start():match.end()-1].split('x') self._meta['source_size'] = tuple(map(int, parts)) # get the size of what we receive, of the form 460x320 (w x h) line = videolines[-1] # Pipe output match = re.search(" [0-9]*x[0-9]*(,| )", line) parts = line[match.start():match.end()-1].split('x') self._meta['size'] = tuple(map(int, parts)) # Check the two sizes if self._meta['source_size'] != self._meta['size']: logging.warning('Warning: the frame size for reading %s is ' 'different from the source frame size %s.' % (self._meta['size'], self._meta['source_size'])) # get duration (in seconds) line = [l for l in lines if 'Duration: ' in l][0] match = re.search(" [0-9][0-9]:[0-9][0-9]:[0-9][0-9].[0-9][0-9]", line) if match is not None: hms = map(float, line[match.start()+1:match.end()].split(':')) self._meta['duration'] = duration = cvsecs(*hms) if fps: self._meta['nframes'] = int(round(duration*fps)) def _read_frame_data(self): # Init and check w, h = self._meta['size'] framesize = self._depth * w * h assert self._proc is not None try: # Read framesize bytes if self._frame_catcher: # pragma: no cover - camera thing s = self._frame_catcher.get_frame() else: s = read_n_bytes(self._proc.stdout, framesize) # Check assert len(s) == framesize except Exception as err: self._terminate() err1 = str(err) err2 = self._stderr_catcher.get_text(0.4) fmt = 'Could not read frame:\n%s\n=== stderr ===\n%s' raise CannotReadFrameError(fmt % (err1, err2)) return s def _skip_frames(self, n=1): """ Reads and throws away n frames """ w, h = self._meta['size'] for i in range(n): self._read_frame_data() self._pos += n def _read_frame(self): # Read and convert to numpy array w, h = self._meta['size'] # t0 = time.time() s = self._read_frame_data() result = np.fromstring(s, dtype='uint8') result = result.reshape((h, w, self._depth)) # t1 = time.time() # print('etime', t1-t0) # Store and return self._lastread = result return result # -- class Writer(Format.Writer): _exe = None @classmethod def _get_exe(cls): cls._exe = cls._exe or get_exe() return cls._exe def _open(self, fps=10, codec='libx264', bitrate=None, pixelformat='yuv420p', ffmpeg_params=None, ffmpeg_log_level="quiet", quality=5, macro_block_size=16): self._exe = self._get_exe() # Get local filename self._filename = self.request.get_local_filename() # Determine pixel format and depth self._pix_fmt = None # Initialize parameters self._proc = None self._size = None self._cmd = None def _close(self): if self._proc is None: # pragma: no cover return # no process if self._proc.poll() is not None: return # process already dead if self._proc.stdin: self._proc.stdin.close() self._proc.wait() self._proc = None def _append_data(self, im, meta): # Get props of image size = im.shape[:2] depth = 1 if im.ndim == 2 else im.shape[2] # Ensure that image is in uint8 im = image_as_uint(im, bitdepth=8) # Set size and initialize if not initialized yet if self._size is None: map = {1: 'gray', 2: 'gray8a', 3: 'rgb24', 4: 'rgba'} self._pix_fmt = map.get(depth, None) if self._pix_fmt is None: raise ValueError('Image must have 1, 2, 3 or 4 channels') self._size = size self._depth = depth self._initialize() # Check size of image if size != self._size: raise ValueError('All images in a movie should have same size') if depth != self._depth: raise ValueError('All images in a movie should have same ' 'number of channels') assert self._proc is not None # Check status # Write try: self._proc.stdin.write(im.tostring()) except IOError as e: # Show the command and stderr from pipe msg = '{0:}\n\nFFMPEG COMMAND:\n{1:}\n\nFFMPEG STDERR ' \ 'OUTPUT:\n'.format(e, self._cmd) raise IOError(msg) def set_meta_data(self, meta): raise RuntimeError('The ffmpeg format does not support setting ' 'meta data.') def _initialize(self): """ Creates the pipe to ffmpeg. Open the file to write to. """ # Get parameters # Note that H264 is a widespread and very good codec, but if we # do not specify a bitrate, we easily get crap results. sizestr = "%dx%d" % (self._size[1], self._size[0]) fps = self.request.kwargs.get('fps', 10) default_codec = 'libx264' if self._filename.lower().endswith('.wmv'): # This is a safer default codec on windows to get videos that # will play in powerpoint and other apps. H264 is not always # available on windows. default_codec = 'msmpeg4' codec = self.request.kwargs.get('codec', default_codec) bitrate = self.request.kwargs.get('bitrate', None) quality = self.request.kwargs.get('quality', 5) ffmpeg_log_level = self.request.kwargs.get('ffmpeg_log_level', 'warning') extra_ffmpeg_params = self.request.kwargs.get('ffmpeg_params', []) # You may need to use -pix_fmt yuv420p for your output to work in # QuickTime and most other players. These players only supports # the YUV planar color space with 4:2:0 chroma subsampling for # H.264 video. Otherwise, depending on your source, ffmpeg may # output to a pixel format that may be incompatible with these # players. See # https://trac.ffmpeg.org/wiki/Encode/H.264#Encodingfordumbplayers pixelformat = self.request.kwargs.get('pixelformat', 'yuv420p') # Get command cmd = [self._exe, '-y', "-f", 'rawvideo', "-vcodec", "rawvideo", '-s', sizestr, '-pix_fmt', self._pix_fmt, '-r', "%.02f" % fps, '-i', '-', '-an', '-vcodec', codec, '-pix_fmt', pixelformat, ] # Add fixed bitrate or variable bitrate compression flags if bitrate is not None: cmd += ['-b:v', str(bitrate)] elif quality is not None: # If None, then we don't add anything if quality < 0 or quality > 10: raise ValueError("ffpmeg writer quality parameter out of" "range. Expected range 0 to 10.") quality = 1 - quality / 10.0 if codec == "libx264": # crf ranges 0 to 51, 51 being worst. quality = int(quality * 51) cmd += ['-crf', str(quality)] # for h264 else: # Many codecs accept q:v # q:v range can vary, 1-31, 31 being worst # But q:v does not always have the same range. # May need a way to find range for any codec. quality = int(quality*30)+1 cmd += ['-qscale:v', str(quality)] # for others # Note, for most codecs, the image dimensions must be divisible by # 16 the default for the macro_block_size is 16. Check if image is # divisible, if not have ffmpeg upsize to nearest size and warn # user they should correct input image if this is not desired. macro_block_size = self.request.kwargs.get('macro_block_size', 16) if macro_block_size is not None and macro_block_size > 1 and \ (self._size[1] % macro_block_size > 0 or self._size[0] % macro_block_size > 0): out_w = self._size[1] if self._size[1] % macro_block_size > 0: out_w += macro_block_size - \ (self._size[1] % macro_block_size) out_h = self._size[0] if self._size[0] % macro_block_size > 0: out_h += macro_block_size - \ (self._size[0] % macro_block_size) cmd += ['-vf', 'scale={0}:{1}'.format(out_w, out_h)] logging.warning( "IMAGEIO FFMPEG_WRITER WARNING: input image is not" " divisible by macro_block_size={0}, resizing from {1} " "to {2} to ensure video compatibility with most codecs " "and players. To prevent resizing, make your input " "image divisible by the macro_block_size or set the " "macro_block_size to None (risking incompatibility). You " "may also see a FFMPEG warning concerning " "speedloss due to " "data not being aligned.".format(macro_block_size, self._size[:2], (out_h, out_w))) if ffmpeg_log_level: # Rather than redirect stderr to a pipe, just set minimal # output from ffmpeg by default. That way if there are warnings # the user will see them. cmd += ['-v', ffmpeg_log_level] cmd += extra_ffmpeg_params cmd.append(self._filename) self._cmd = " ".join(cmd) # For showing command if needed if any([level in ffmpeg_log_level for level in ("info", "verbose", "debug", "trace")]): print("RUNNING FFMPEG COMMAND:", self._cmd, file=sys.stderr) # Launch process self._proc = sp.Popen(cmd, stdin=sp.PIPE, stdout=sp.PIPE, stderr=None) # Warning, directing stderr to a pipe on windows will cause ffmpeg # to hang if the buffer is not periodically cleared using # StreamCatcher or other means. def cvsecs(*args): """ converts a time to second. Either cvsecs(min, secs) or cvsecs(hours, mins, secs). """ if len(args) == 1: return args[0] elif len(args) == 2: return 60*args[0] + args[1] elif len(args) == 3: return 3600*args[0] + 60*args[1] + args[2] class FrameCatcher(threading.Thread): """ Thread to keep reading the frame data from stdout. This is useful when streaming from a webcam. Otherwise, if the user code does not grab frames fast enough, the buffer will fill up, leading to lag, and ffmpeg can also stall (experienced on Linux). The get_frame() method always returns the last available image. """ def __init__(self, file, framesize): self._file = file self._framesize = framesize self._frame = None self._bytes_read = 0 # self._lock = threading.RLock() threading.Thread.__init__(self) self.setDaemon(True) # do not let this thread hold up Python shutdown self._should_stop = False self.start() def stop_me(self): self._should_stop = True def get_frame(self): while self._frame is None: # pragma: no cover - an init thing time.sleep(0.001) return self._frame def _read(self, n): try: return self._file.read(n) except ValueError: return b'' def run(self): framesize = self._framesize while not self._should_stop: time.sleep(0) # give control to other threads s = self._read(framesize) while len(s) < framesize: need = framesize - len(s) part = self._read(need) if not part: break s += part self._bytes_read += len(part) # Stop? if not s: return # Store frame self._frame = s class StreamCatcher(threading.Thread): """ Thread to keep reading from stderr so that the buffer does not fill up and stalls the ffmpeg process. On stderr a message is send on every few frames with some meta information. We only keep the last ones. """ def __init__(self, file): self._file = file self._header = '' self._lines = [] self._remainder = b'' threading.Thread.__init__(self) self.setDaemon(True) # do not let this thread hold up Python shutdown self._should_stop = False self.start() def stop_me(self): self._should_stop = True @property def header(self): """ Get header text. Empty string if the header is not yet parsed. """ return self._header def get_text(self, timeout=0): """ Get the whole text printed to stderr so far. To preserve memory, only the last 50 to 100 frames are kept. If a timeout is givem, wait for this thread to finish. When something goes wrong, we stop ffmpeg and want a full report of stderr, but this thread might need a tiny bit more time. """ # Wait? if timeout > 0: etime = time.time() + timeout while self.isAlive() and time.time() < etime: # pragma: no cover time.sleep(0.01) # Return str lines = b'\n'.join(self._lines) return self._header + '\n' + lines.decode('utf-8', 'ignore') def run(self): # Create ref here so it still exists even if Py is shutting down limit_lines_local = limit_lines while not self._should_stop: time.sleep(0.001) # Read one line. Detect when closed, and exit try: line = self._file.read(20) except ValueError: # pragma: no cover break if not line: break # Process to divide in lines line = line.replace(b'\r', b'\n').replace(b'\n\n', b'\n') lines = line.split(b'\n') lines[0] = self._remainder + lines[0] self._remainder = lines.pop(-1) # Process each line for line in lines: self._lines.append(line) if line.startswith(b'Stream mapping'): header = b'\n'.join(self._lines) self._header += header.decode('utf-8', 'ignore') self._lines = [] if self._header and self._lines: self._lines = limit_lines_local(self._lines) # Register. You register an *instance* of a Format class. format = FfmpegFormat('ffmpeg', 'Many video formats and cameras (via ffmpeg)', '.mov .avi .mpg .mpeg .mp4 .mkv .wmv', 'I') formats.add_format(format) imageio-2.1.2/imageio/plugins/_swf.py0000666000000000000000000006375313022044152016242 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. # This code was taken from visvis/vvmovy/images2swf.py # styletest: ignore E261 """ Provides a function (write_swf) to store a series of numpy arrays in an SWF movie, that can be played on a wide range of OS's. In desperation of wanting to share animated images, and then lacking a good writer for animated gif or .avi, I decided to look into SWF. This format is very well documented. This is a pure python module to create an SWF file that shows a series of images. The images are stored using the DEFLATE algorithm (same as PNG and ZIP and which is included in the standard Python distribution). As this compression algorithm is much more effective than that used in GIF images, we obtain better quality (24 bit colors + alpha channel) while still producesing smaller files (a test showed ~75%). Although SWF also allows for JPEG compression, doing so would probably require a third party library for the JPEG encoding/decoding, we could perhaps do this via Pillow or freeimage. This module requires Python 2.x / 3,x and numpy. sources and tools: - SWF on wikipedia - Adobes "SWF File Format Specification" version 10 (http://www.adobe.com/devnet/swf/pdf/swf_file_format_spec_v10.pdf) - swftools (swfdump in specific) for debugging - iwisoft swf2avi can be used to convert swf to avi/mpg/flv with really good quality, while file size is reduced with factors 20-100. A good program in my opinion. The free version has the limitation of a watermark in the upper left corner. """ import os import sys import zlib import time # noqa import numpy as np from ..core import string_types, binary_type PY3 = sys.version_info >= (3, ) # todo: use Pillow to support reading JPEG images from SWF? ## Base functions and classes class BitArray: """ Dynamic array of bits that automatically resizes with factors of two. Append bits using .append() or += You can reverse bits using .reverse() """ def __init__(self, initvalue=None): self.data = np.zeros((16,), dtype=np.uint8) self._len = 0 if initvalue is not None: self.append(initvalue) def __len__(self): return self._len # self.data.shape[0] def __repr__(self): return self.data[:self._len].tostring().decode('ascii') def _checkSize(self): # check length... grow if necessary arraylen = self.data.shape[0] if self._len >= arraylen: tmp = np.zeros((arraylen*2,), dtype=np.uint8) tmp[:self._len] = self.data[:self._len] self.data = tmp def __add__(self, value): self.append(value) return self def append(self, bits): # check input if isinstance(bits, BitArray): bits = str(bits) if isinstance(bits, int): # pragma: no cover - we dont use it bits = str(bits) if not isinstance(bits, string_types): # pragma: no cover raise ValueError("Append bits as strings or integers!") # add bits for bit in bits: self.data[self._len] = ord(bit) self._len += 1 self._checkSize() def reverse(self): """ In-place reverse. """ tmp = self.data[:self._len].copy() self.data[:self._len] = tmp[::-1] def tobytes(self): """ Convert to bytes. If necessary, zeros are padded to the end (right side). """ bits = str(self) # determine number of bytes nbytes = 0 while nbytes * 8 < len(bits): nbytes += 1 # pad bits = bits.ljust(nbytes * 8, '0') # go from bits to bytes bb = binary_type() for i in range(nbytes): tmp = int(bits[i * 8: (i + 1) * 8], 2) bb += int2uint8(tmp) # done return bb if PY3: def int2uint32(i): return int(i).to_bytes(4, 'little') def int2uint16(i): return int(i).to_bytes(2, 'little') def int2uint8(i): return int(i).to_bytes(1, 'little') else: # pragma: no cover def int2uint32(i): number = int(i) n1, n2, n3, n4 = 1, 256, 256 * 256, 256 * 256 * 256 # noqa b4, number = number // n4, number % n4 b3, number = number // n3, number % n3 b2, number = number // n2, number % n2 b1 = number return chr(b1) + chr(b2) + chr(b3) + chr(b4) def int2uint16(i): i = int(i) # devide in two parts (bytes) i1 = i % 256 i2 = int(i // 256) # make string (little endian) return chr(i1) + chr(i2) def int2uint8(i): return chr(int(i)) def int2bits(i, n=None): """ convert int to a string of bits (0's and 1's in a string), pad to n elements. Convert back using int(ss,2). """ ii = i # make bits bb = BitArray() while ii > 0: bb += str(ii % 2) ii = ii >> 1 bb.reverse() # justify if n is not None: if len(bb) > n: # pragma: no cover raise ValueError("int2bits fail: len larger than padlength.") bb = str(bb).rjust(n, '0') # done return BitArray(bb) def bits2int(bb, n=8): # Init value = '' # Get value in bits for i in range(len(bb)): b = bb[i:i+1] tmp = bin(ord(b))[2:] #value += tmp.rjust(8,'0') value = tmp.rjust(8, '0') + value # Make decimal return(int(value[:n], 2)) def get_type_and_len(bb): """ bb should be 6 bytes at least Return (type, length, length_of_full_tag) """ # Init value = '' # Get first 16 bits for i in range(2): b = bb[i:i + 1] tmp = bin(ord(b))[2:] #value += tmp.rjust(8,'0') value = tmp.rjust(8, '0') + value # Get type and length type = int(value[:10], 2) L = int(value[10:], 2) L2 = L + 2 # Long tag header? if L == 63: # '111111' value = '' for i in range(2, 6): b = bb[i:i + 1] # becomes a single-byte bytes() on both PY3 & PY2 tmp = bin(ord(b))[2:] #value += tmp.rjust(8,'0') value = tmp.rjust(8, '0') + value L = int(value, 2) L2 = L + 6 # Done return type, L, L2 def signedint2bits(i, n=None): """ convert signed int to a string of bits (0's and 1's in a string), pad to n elements. Negative numbers are stored in 2's complement bit patterns, thus positive numbers always start with a 0. """ # negative number? ii = i if i < 0: # A negative number, -n, is represented as the bitwise opposite of ii = abs(ii) - 1 # the positive-zero number n-1. # make bits bb = BitArray() while ii > 0: bb += str(ii % 2) ii = ii >> 1 bb.reverse() # justify bb = '0' + str(bb) # always need the sign bit in front if n is not None: if len(bb) > n: # pragma: no cover raise ValueError("signedint2bits fail: len larger than padlength.") bb = bb.rjust(n, '0') # was it negative? (then opposite bits) if i < 0: bb = bb.replace('0', 'x').replace('1', '0').replace('x', '1') # done return BitArray(bb) def twits2bits(arr): """ Given a few (signed) numbers, store them as compactly as possible in the wat specifief by the swf format. The numbers are multiplied by 20, assuming they are twits. Can be used to make the RECT record. """ # first determine length using non justified bit strings maxlen = 1 for i in arr: tmp = len(signedint2bits(i*20)) if tmp > maxlen: maxlen = tmp # build array bits = int2bits(maxlen, 5) for i in arr: bits += signedint2bits(i * 20, maxlen) return bits def floats2bits(arr): """ Given a few (signed) numbers, convert them to bits, stored as FB (float bit values). We always use 16.16. Negative numbers are not (yet) possible, because I don't know how the're implemented (ambiguity). """ bits = int2bits(31, 5) # 32 does not fit in 5 bits! for i in arr: if i < 0: # pragma: no cover raise ValueError("Dit not implement negative floats!") i1 = int(i) i2 = i - i1 bits += int2bits(i1, 15) bits += int2bits(i2 * 2 ** 16, 16) return bits ## Base Tag class Tag: def __init__(self): self.bytes = binary_type() self.tagtype = -1 def process_tag(self): """ Implement this to create the tag. """ raise NotImplementedError() def get_tag(self): """ Calls processTag and attaches the header. """ self.process_tag() # tag to binary bits = int2bits(self.tagtype, 10) # complete header uint16 thing bits += '1' * 6 # = 63 = 0x3f # make uint16 bb = int2uint16(int(str(bits), 2)) # now add 32bit length descriptor bb += int2uint32(len(self.bytes)) # done, attach and return bb += self.bytes return bb def make_rect_record(self, xmin, xmax, ymin, ymax): """ Simply uses makeCompactArray to produce a RECT Record. """ return twits2bits([xmin, xmax, ymin, ymax]) def make_matrix_record(self, scale_xy=None, rot_xy=None, trans_xy=None): # empty matrix? if scale_xy is None and rot_xy is None and trans_xy is None: return "0"*8 # init bits = BitArray() # scale if scale_xy: bits += '1' bits += floats2bits([scale_xy[0], scale_xy[1]]) else: bits += '0' # rotation if rot_xy: bits += '1' bits += floats2bits([rot_xy[0], rot_xy[1]]) else: bits += '0' # translation (no flag here) if trans_xy: bits += twits2bits([trans_xy[0], trans_xy[1]]) else: bits += twits2bits([0, 0]) # done return bits ## Control tags class ControlTag(Tag): def __init__(self): Tag.__init__(self) class FileAttributesTag(ControlTag): def __init__(self): ControlTag.__init__(self) self.tagtype = 69 def process_tag(self): self.bytes = '\x00'.encode('ascii') * (1+3) class ShowFrameTag(ControlTag): def __init__(self): ControlTag.__init__(self) self.tagtype = 1 def process_tag(self): self.bytes = binary_type() class SetBackgroundTag(ControlTag): """ Set the color in 0-255, or 0-1 (if floats given). """ def __init__(self, *rgb): self.tagtype = 9 if len(rgb) == 1: rgb = rgb[0] self.rgb = rgb def process_tag(self): bb = binary_type() for i in range(3): clr = self.rgb[i] if isinstance(clr, float): # pragma: no cover - not used clr = clr * 255 bb += int2uint8(clr) self.bytes = bb class DoActionTag(Tag): def __init__(self, action='stop'): Tag.__init__(self) self.tagtype = 12 self.actions = [action] def append(self, action): # pragma: no cover - not used self.actions.append(action) def process_tag(self): bb = binary_type() for action in self.actions: action = action.lower() if action == 'stop': bb += '\x07'.encode('ascii') elif action == 'play': # pragma: no cover - not used bb += '\x06'.encode('ascii') else: # pragma: no cover print("warning, unkown action: %s" % action) bb += int2uint8(0) self.bytes = bb ## Definition tags class DefinitionTag(Tag): counter = 0 # to give automatically id's def __init__(self): Tag.__init__(self) DefinitionTag.counter += 1 self.id = DefinitionTag.counter # id in dictionary class BitmapTag(DefinitionTag): def __init__(self, im): DefinitionTag.__init__(self) self.tagtype = 36 # DefineBitsLossless2 # convert image (note that format is ARGB) # even a grayscale image is stored in ARGB, nevertheless, # the fabilous deflate compression will make it that not much # more data is required for storing (25% or so, and less than 10% # when storing RGB as ARGB). if len(im.shape) == 3: if im.shape[2] in [3, 4]: tmp = np.ones((im.shape[0], im.shape[1], 4), dtype=np.uint8) * 255 for i in range(3): tmp[:, :, i + 1] = im[:, :, i] if im.shape[2] == 4: tmp[:, :, 0] = im[:, :, 3] # swap channel where alpha is else: # pragma: no cover raise ValueError("Invalid shape to be an image.") elif len(im.shape) == 2: tmp = np.ones((im.shape[0], im.shape[1], 4), dtype=np.uint8)*255 for i in range(3): tmp[:, :, i + 1] = im[:, :] else: # pragma: no cover raise ValueError("Invalid shape to be an image.") # we changed the image to uint8 4 channels. # now compress! self._data = zlib.compress(tmp.tostring(), zlib.DEFLATED) self.imshape = im.shape def process_tag(self): # build tag bb = binary_type() bb += int2uint16(self.id) # CharacterID bb += int2uint8(5) # BitmapFormat bb += int2uint16(self.imshape[1]) # BitmapWidth bb += int2uint16(self.imshape[0]) # BitmapHeight bb += self._data # ZlibBitmapData self.bytes = bb class PlaceObjectTag(ControlTag): def __init__(self, depth, idToPlace=None, xy=(0, 0), move=False): ControlTag.__init__(self) self.tagtype = 26 self.depth = depth self.idToPlace = idToPlace self.xy = xy self.move = move def process_tag(self): # retrieve stuff depth = self.depth xy = self.xy id = self.idToPlace # build PlaceObject2 bb = binary_type() if self.move: bb += '\x07'.encode('ascii') else: # (8 bit flags): 4:matrix, 2:character, 1:move bb += '\x06'.encode('ascii') bb += int2uint16(depth) # Depth bb += int2uint16(id) # character id bb += self.make_matrix_record(trans_xy=xy).tobytes() # MATRIX record self.bytes = bb class ShapeTag(DefinitionTag): def __init__(self, bitmapId, xy, wh): DefinitionTag.__init__(self) self.tagtype = 2 self.bitmapId = bitmapId self.xy = xy self.wh = wh def process_tag(self): """ Returns a defineshape tag. with a bitmap fill """ bb = binary_type() bb += int2uint16(self.id) xy, wh = self.xy, self.wh tmp = self.make_rect_record(xy[0], wh[0], xy[1], wh[1]) # ShapeBounds bb += tmp.tobytes() # make SHAPEWITHSTYLE structure # first entry: FILLSTYLEARRAY with in it a single fill style bb += int2uint8(1) # FillStyleCount bb += '\x41'.encode('ascii') # FillStyleType (0x41 or 0x43 unsmoothed) bb += int2uint16(self.bitmapId) # BitmapId #bb += '\x00' # BitmapMatrix (empty matrix with leftover bits filled) bb += self.make_matrix_record(scale_xy=(20, 20)).tobytes() # # first entry: FILLSTYLEARRAY with in it a single fill style # bb += int2uint8(1) # FillStyleCount # bb += '\x00' # solid fill # bb += '\x00\x00\xff' # color # second entry: LINESTYLEARRAY with a single line style bb += int2uint8(0) # LineStyleCount #bb += int2uint16(0*20) # Width #bb += '\x00\xff\x00' # Color # third and fourth entry: NumFillBits and NumLineBits (4 bits each) # I each give them four bits, so 16 styles possible. bb += '\x44'.encode('ascii') self.bytes = bb # last entries: SHAPERECORDs ... (individual shape records not aligned) # STYLECHANGERECORD bits = BitArray() bits += self.make_style_change_record(0, 1, moveTo=(self.wh[0], self.wh[1])) # STRAIGHTEDGERECORD 4x bits += self.make_straight_edge_record(-self.wh[0], 0) bits += self.make_straight_edge_record(0, -self.wh[1]) bits += self.make_straight_edge_record(self.wh[0], 0) bits += self.make_straight_edge_record(0, self.wh[1]) # ENDSHAPRECORD bits += self.make_end_shape_record() self.bytes += bits.tobytes() # done #self.bytes = bb def make_style_change_record(self, lineStyle=None, fillStyle=None, moveTo=None): # first 6 flags # Note that we use FillStyle1. If we don't flash (at least 8) does not # recognize the frames properly when importing to library. bits = BitArray() bits += '0' # TypeFlag (not an edge record) bits += '0' # StateNewStyles (only for DefineShape2 and Defineshape3) if lineStyle: bits += '1' # StateLineStyle else: bits += '0' if fillStyle: bits += '1' # StateFillStyle1 else: bits += '0' bits += '0' # StateFillStyle0 if moveTo: bits += '1' # StateMoveTo else: bits += '0' # give information # todo: nbits for fillStyle and lineStyle is hard coded. if moveTo: bits += twits2bits([moveTo[0], moveTo[1]]) if fillStyle: bits += int2bits(fillStyle, 4) if lineStyle: bits += int2bits(lineStyle, 4) return bits def make_straight_edge_record(self, *dxdy): if len(dxdy) == 1: dxdy = dxdy[0] # determine required number of bits xbits = signedint2bits(dxdy[0] * 20) ybits = signedint2bits(dxdy[1] * 20) nbits = max([len(xbits), len(ybits)]) bits = BitArray() bits += '11' # TypeFlag and StraightFlag bits += int2bits(nbits-2, 4) bits += '1' # GeneralLineFlag bits += signedint2bits(dxdy[0] * 20, nbits) bits += signedint2bits(dxdy[1] * 20, nbits) # note: I do not make use of vertical/horizontal only lines... return bits def make_end_shape_record(self): bits = BitArray() bits += "0" # TypeFlag: no edge bits += "0"*5 # EndOfShape return bits def read_pixels(bb, i, tagType, L1): """ With pf's seed after the recordheader, reads the pixeldata. """ # Get info charId = bb[i:i + 2] # noqa i += 2 format = ord(bb[i:i + 1]) i += 1 width = bits2int(bb[i:i + 2], 16) i += 2 height = bits2int(bb[i:i + 2], 16) i += 2 # If we can, get pixeldata and make numpy array if format != 5: print("Can only read 24bit or 32bit RGB(A) lossless images.") else: # Read byte data offset = 2 + 1 + 2 + 2 # all the info bits bb2 = bb[i:i+(L1-offset)] # Decompress and make numpy array data = zlib.decompress(bb2) a = np.frombuffer(data, dtype=np.uint8) # Set shape if tagType == 20: # DefineBitsLossless - RGB data try: a.shape = height, width, 3 except Exception: # Byte align stuff might cause troubles print("Cannot read image due to byte alignment") if tagType == 36: # DefineBitsLossless2 - ARGB data a.shape = height, width, 4 # Swap alpha channel to make RGBA b = a a = np.zeros_like(a) a[:, :, 0] = b[:, :, 1] a[:, :, 1] = b[:, :, 2] a[:, :, 2] = b[:, :, 3] a[:, :, 3] = b[:, :, 0] return a ## Last few functions # These are the original public functions, we don't use them, but we # keep it so that in principle this module can be used stand-alone. def checkImages(images): # pragma: no cover """ checkImages(images) Check numpy images and correct intensity range etc. The same for all movie formats. """ # Init results images2 = [] for im in images: if isinstance(im, np.ndarray): # Check and convert dtype if im.dtype == np.uint8: images2.append(im) # Ok elif im.dtype in [np.float32, np.float64]: theMax = im.max() if theMax > 128 and theMax < 300: pass # assume 0:255 else: im = im.copy() im[im < 0] = 0 im[im > 1] = 1 im *= 255 images2.append(im.astype(np.uint8)) else: im = im.astype(np.uint8) images2.append(im) # Check size if im.ndim == 2: pass # ok elif im.ndim == 3: if im.shape[2] not in [3, 4]: raise ValueError('This array can not represent an image.') else: raise ValueError('This array can not represent an image.') else: raise ValueError('Invalid image type: ' + str(type(im))) # Done return images2 def build_file(fp, taglist, nframes=1, framesize=(500, 500), fps=10, version=8): # pragma: no cover """ Give the given file (as bytes) a header. """ # compose header bb = binary_type() bb += 'F'.encode('ascii') # uncompressed bb += 'WS'.encode('ascii') # signature bytes bb += int2uint8(version) # version bb += '0000'.encode('ascii') # FileLength (leave open for now) bb += Tag().make_rect_record(0, framesize[0], 0, framesize[1]).tobytes() bb += int2uint8(0) + int2uint8(fps) # FrameRate bb += int2uint16(nframes) fp.write(bb) # produce all tags for tag in taglist: fp.write(tag.get_tag()) # finish with end tag fp.write('\x00\x00'.encode('ascii')) # set size sze = fp.tell() fp.seek(4) fp.write(int2uint32(sze)) def write_swf(filename, images, duration=0.1, repeat=True): # pragma: no cover """Write an swf-file from the specified images. If repeat is False, the movie is finished with a stop action. Duration may also be a list with durations for each frame (note that the duration for each frame is always an integer amount of the minimum duration.) Images should be a list consisting numpy arrays with values between 0 and 255 for integer types, and between 0 and 1 for float types. """ # Check images images2 = checkImages(images) # Init taglist = [FileAttributesTag(), SetBackgroundTag(0, 0, 0)] # Check duration if hasattr(duration, '__len__'): if len(duration) == len(images2): duration = [d for d in duration] else: raise ValueError("len(duration) doesn't match amount of images.") else: duration = [duration for im in images2] # Build delays list minDuration = float(min(duration)) delays = [round(d/minDuration) for d in duration] delays = [max(1, int(d)) for d in delays] # Get FPS fps = 1.0/minDuration # Produce series of tags for each image #t0 = time.time() nframes = 0 for im in images2: bm = BitmapTag(im) wh = (im.shape[1], im.shape[0]) sh = ShapeTag(bm.id, (0, 0), wh) po = PlaceObjectTag(1, sh.id, move=nframes > 0) taglist.extend([bm, sh, po]) for i in range(delays[nframes]): taglist.append(ShowFrameTag()) nframes += 1 if not repeat: taglist.append(DoActionTag('stop')) # Build file #t1 = time.time() fp = open(filename, 'wb') try: build_file(fp, taglist, nframes=nframes, framesize=wh, fps=fps) except Exception: raise finally: fp.close() #t2 = time.time() #print("Writing SWF took %1.2f and %1.2f seconds" % (t1-t0, t2-t1) ) def read_swf(filename): # pragma: no cover """Read all images from an SWF (shockwave flash) file. Returns a list of numpy arrays. Limitation: only read the PNG encoded images (not the JPG encoded ones). """ # Check whether it exists if not os.path.isfile(filename): raise IOError('File not found: '+str(filename)) # Init images images = [] # Open file and read all fp = open(filename, 'rb') bb = fp.read() try: # Check opening tag tmp = bb[0:3].decode('ascii', 'ignore') if tmp.upper() == 'FWS': pass # ok elif tmp.upper() == 'CWS': # Decompress movie bb = bb[:8] + zlib.decompress(bb[8:]) else: raise IOError('Not a valid SWF file: ' + str(filename)) # Set filepointer at first tag (skipping framesize RECT and two uin16's i = 8 nbits = bits2int(bb[i: i + 1], 5) # skip FrameSize nbits = 5 + nbits * 4 Lrect = nbits / 8.0 if Lrect % 1: Lrect += 1 Lrect = int(Lrect) i += Lrect+4 # Iterate over the tags counter = 0 while True: counter += 1 # Get tag header head = bb[i:i+6] if not head: break # Done (we missed end tag) # Determine type and length T, L1, L2 = get_type_and_len(head) if not L2: print('Invalid tag length, could not proceed') break #print(T, L2) # Read image if we can if T in [20, 36]: im = read_pixels(bb, i+6, T, L1) if im is not None: images.append(im) elif T in [6, 21, 35, 90]: print('Ignoring JPEG image: cannot read JPEG.') else: pass # Not an image tag # Detect end tag if T == 0: break # Next tag! i += L2 finally: fp.close() # Done return images # Backward compatibility; same public names as when this was images2swf. writeSwf = write_swf readSwf = read_swf imageio-2.1.2/imageio/plugins/fits.py0000666000000000000000000001147612615243100016245 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for reading FITS files. """ from __future__ import absolute_import, print_function, division from .. import formats from ..core import Format _fits = None # lazily loaded def load_lib(): global _fits try: from astropy.io import fits as _fits except ImportError: raise ImportError("The FITS format relies on the astropy package." "Please refer to http://www.astropy.org/ " "for further instructions.") return _fits class FitsFormat(Format): """ Flexible Image Transport System (FITS) is an open standard defining a digital file format useful for storage, transmission and processing of scientific and other images. FITS is the most commonly used digital file format in astronomy. This format requires the ``astropy`` package. Parameters for reading ---------------------- cache : bool If the file name is a URL, `~astropy.utils.data.download_file` is used to open the file. This specifies whether or not to save the file locally in Astropy's download cache (default: `True`). uint : bool Interpret signed integer data where ``BZERO`` is the central value and ``BSCALE == 1`` as unsigned integer data. For example, ``int16`` data with ``BZERO = 32768`` and ``BSCALE = 1`` would be treated as ``uint16`` data. Note, for backward compatibility, the kwarg **uint16** may be used instead. The kwarg was renamed when support was added for integers of any size. ignore_missing_end : bool Do not issue an exception when opening a file that is missing an ``END`` card in the last header. checksum : bool or str If `True`, verifies that both ``DATASUM`` and ``CHECKSUM`` card values (when present in the HDU header) match the header and data of all HDU's in the file. Updates to a file that already has a checksum will preserve and update the existing checksums unless this argument is given a value of 'remove', in which case the CHECKSUM and DATASUM values are not checked, and are removed when saving changes to the file. disable_image_compression : bool, optional If `True`, treats compressed image HDU's like normal binary table HDU's. do_not_scale_image_data : bool If `True`, image data is not scaled using BSCALE/BZERO values when read. ignore_blank : bool If `True`, the BLANK keyword is ignored if present. scale_back : bool If `True`, when saving changes to a file that contained scaled image data, restore the data to the original type and reapply the original BSCALE/BZERO values. This could lead to loss of accuracy if scaling back to integer values after performing floating point operations on the data. """ def _can_read(self, request): # We return True if ext matches, because this is the only plugin # that can. If astropy is not installed, a useful error follows. return request.filename.lower().endswith(self.extensions) def _can_write(self, request): # No write support return False # -- reader class Reader(Format.Reader): def _open(self, cache=False, **kwargs): if not _fits: load_lib() hdulist = _fits.open(self.request.get_file(), cache=cache, **kwargs) self._index = [] for n, hdu in zip(range(len(hdulist)), hdulist): if (isinstance(hdu, _fits.ImageHDU) or isinstance(hdu, _fits.PrimaryHDU)): # Ignore (primary) header units with no data (use '.size' # rather than '.data' to avoid actually loading the image): if hdu.size > 0: self._index.append(n) self._hdulist = hdulist def _close(self): self._hdulist.close() def _get_length(self): return len(self._index) def _get_data(self, index): # Get data if index < 0 or index >= len(self._index): raise IndexError('Index out of range while reading from fits') im = self._hdulist[self._index[index]].data # Return array and empty meta data return im, {} def _get_meta_data(self, index): # Get the meta data for the given index raise RuntimeError('The fits format does not support meta data.') # Register format = FitsFormat('fits', "Flexible Image Transport System (FITS) format", 'fits fit fts', 'iIvV') formats.add_format(format) imageio-2.1.2/imageio/plugins/pillowmulti.py0000666000000000000000000003062113044620246017661 0ustar rootroot""" PIL formats for multiple images. """ import sys import numpy as np from .pillow import PillowFormat, ndarray_to_pil, image_as_uint NeuQuant = None # we can implement this when we need it class TIFFFormat(PillowFormat): _modes = 'i' # arg, why bother; people should use the tiffile version _description = 'TIFF format (Pillow)' class GIFFormat(PillowFormat): """ A format for reading and writing static and animated GIF, based on Pillow. Images read with this format are always RGBA. Currently, the alpha channel is ignored when saving RGB images with this format. Parameters for reading ---------------------- None Parameters for saving --------------------- loop : int The number of iterations. Default 0 (meaning loop indefinitely) duration : {float, list} The duration (in seconds) of each frame. Either specify one value that is used for all frames, or one value for each frame. fps : float The number of frames per second. If duration is not given, the duration for each frame is set to 1/fps. Default 10. palettesize : int The number of colors to quantize the image to. Is rounded to the nearest power of two. Default 256. subrectangles : bool If True, will try and optimize the GIF by storing only the rectangular parts of each frame that change with respect to the previous. Default False. """ _modes = 'iI' _description = 'Static and animated gif (Pillow)' class Reader(PillowFormat.Reader): def _open(self, playback=None): # compat with FI format return PillowFormat.Reader._open(self) class Writer(PillowFormat.Writer): def _open(self, loop=0, duration=None, fps=10, palettesize=256, quantizer=0, subrectangles=False): # Check palettesize palettesize = int(palettesize) if palettesize < 2 or palettesize > 256: raise ValueError('GIF quantize param must be 2..256') if palettesize not in [2, 4, 8, 16, 32, 64, 128, 256]: palettesize = 2 ** int(np.log2(128) + 0.999) print('Warning: palettesize (%r) modified to a factor of ' 'two between 2-256.' % palettesize) # Duratrion / fps if duration is None: self._duration = 1.0 / float(fps) elif isinstance(duration, (list, tuple)): self._duration = [float(d) for d in duration] else: self._duration = float(duration) # loop loop = float(loop) if loop <= 0 or loop == float('inf'): loop = 0 loop = int(loop) # Subrectangles / dispose subrectangles = bool(subrectangles) self._dispose = 1 if subrectangles else 2 # The "0" (median cut) quantizer is by far the best fp = self.request.get_file() self._writer = GifWriter(fp, subrectangles, loop, quantizer, int(palettesize)) def _close(self): self._writer.close() def _append_data(self, im, meta): im = image_as_uint(im, bitdepth=8) if im.ndim == 3 and im.shape[-1] == 1: im = im[:, :, 0] duration = self._duration if isinstance(duration, list): duration = duration[min(len(duration)-1, self._writer._count)] dispose = self._dispose self._writer.add_image(im, duration, dispose) return if sys.version_info >= (3, ): intToBin = lambda i: i.to_bytes(2, byteorder='little') else: def intToBin(i): """Integer to two bytes""" # No int.to_bytes() in Legacy Python i1 = i % 256 i2 = int(i / 256) return chr(i1) + chr(i2) # little endian class GifWriter: """ Class that for helping write the animated GIF file. This is based on code from images2gif.py (part of visvis). The version here is modified to allow streamed writing. """ def __init__(self, file, opt_subrectangle=True, opt_loop=0, opt_quantizer=0, opt_palette_size=256): self.fp = file self.opt_subrectangle = opt_subrectangle self.opt_loop = opt_loop self.opt_quantizer = opt_quantizer self.opt_palette_size = opt_palette_size self._previous_image = None # as np array self._global_palette = None # as bytes self._count = 0 from PIL.GifImagePlugin import getdata self.getdata = getdata def add_image(self, im, duration, dispose): # Prepare image im_rect, rect = im, (0, 0) if self.opt_subrectangle: im_rect, rect = self.getSubRectangle(im) im_pil = self.converToPIL(im_rect, self.opt_quantizer, self.opt_palette_size) # Get pallette - apparently, this is the 3d element of the header # (but it has not always been). Best we've got. Its not the same # as im_pil.palette.tobytes(). from PIL.GifImagePlugin import getheader palette = getheader(im_pil)[0][3] # Write image if self._count == 0: self.write_header(im_pil, palette, self.opt_loop) self._global_palette = palette self.write_image(im_pil, palette, rect, duration, dispose) # assert len(palette) == len(self._global_palette) # Bookkeeping self._previous_image = im self._count += 1 def write_header(self, im, globalPalette, loop): # Gather info header = self.getheaderAnim(im) appext = self.getAppExt(loop) # Write self.fp.write(header) self.fp.write(globalPalette) self.fp.write(appext) def close(self): self.fp.write(";".encode('utf-8')) # end gif def write_image(self, im, palette, rect, duration, dispose): fp = self.fp # Gather local image header and data, using PIL's getdata. That # function returns a list of bytes objects, but which parts are # what has changed multiple times, so we put together the first # parts until we have enough to form the image header. data = self.getdata(im) imdes = b'' while data and len(imdes) < 11: imdes += data.pop(0) assert len(imdes) == 11 # Make image descriptor suitable for using 256 local color palette lid = self.getImageDescriptor(im, rect) graphext = self.getGraphicsControlExt(duration, dispose) # Write local header if (palette != self._global_palette) or (dispose != 2): # Use local color palette fp.write(graphext) fp.write(lid) # write suitable image descriptor fp.write(palette) # write local color table fp.write(b'\x08') # LZW minimum size code else: # Use global color palette fp.write(graphext) fp.write(imdes) # write suitable image descriptor # Write image data for d in data: fp.write(d) def getheaderAnim(self, im): """ Get animation header. To replace PILs getheader()[0] """ bb = b"GIF89a" bb += intToBin(im.size[0]) bb += intToBin(im.size[1]) bb += b"\x87\x00\x00" return bb def getImageDescriptor(self, im, xy=None): """ Used for the local color table properties per image. Otherwise global color table applies to all frames irrespective of whether additional colors comes in play that require a redefined palette. Still a maximum of 256 color per frame, obviously. Written by Ant1 on 2010-08-22 Modified by Alex Robinson in Janurari 2011 to implement subrectangles. """ # Defaule use full image and place at upper left if xy is None: xy = (0, 0) # Image separator, bb = b'\x2C' # Image position and size bb += intToBin(xy[0]) # Left position bb += intToBin(xy[1]) # Top position bb += intToBin(im.size[0]) # image width bb += intToBin(im.size[1]) # image height # packed field: local color table flag1, interlace0, sorted table0, # reserved00, lct size111=7=2^(7 + 1)=256. bb += b'\x87' # LZW minimum size code now comes later, begining of [imagedata] blocks return bb def getAppExt(self, loop): """ Application extention. This part specifies the amount of loops. If loop is 0 or inf, it goes on infinitely. """ if loop == 0: loop = 2 ** 16 - 1 bb = b"" if loop != 0: # omit the extension if we would like a nonlooping gif bb = b"\x21\xFF\x0B" # application extension bb += b"NETSCAPE2.0" bb += b"\x03\x01" bb += intToBin(loop) bb += b'\x00' # end return bb def getGraphicsControlExt(self, duration=0.1, dispose=2): """ Graphics Control Extension. A sort of header at the start of each image. Specifies duration and transparancy. Dispose ------- * 0 - No disposal specified. * 1 - Do not dispose. The graphic is to be left in place. * 2 - Restore to background color. The area used by the graphic must be restored to the background color. * 3 - Restore to previous. The decoder is required to restore the area overwritten by the graphic with what was there prior to rendering the graphic. * 4-7 -To be defined. """ bb = b'\x21\xF9\x04' bb += chr((dispose & 3) << 2).encode('utf-8') # low bit 1 == transparency, # 2nd bit 1 == user input , next 3 bits, the low two of which are used, # are dispose. bb += intToBin(int(duration * 100)) # in 100th of seconds bb += b'\x00' # no transparant color bb += b'\x00' # end return bb def getSubRectangle(self, im): """ Calculate the minimal rectangle that need updating. Returns a two-element tuple containing the cropped image and an x-y tuple. Calculating the subrectangles takes extra time, obviously. However, if the image sizes were reduced, the actual writing of the GIF goes faster. In some cases applying this method produces a GIF faster. """ # Cannot do subrectangle for first image if self._count == 0: return im, (0, 0) prev = self._previous_image # Get difference, sum over colors diff = np.abs(im - prev) if diff.ndim == 3: diff = diff.sum(2) # Get begin and end for both dimensions X = np.argwhere(diff.sum(0)) Y = np.argwhere(diff.sum(1)) # Get rect coordinates if X.size and Y.size: x0, x1 = int(X[0]), int(X[-1] + 1) y0, y1 = int(Y[0]), int(Y[-1] + 1) else: # No change ... make it minimal x0, x1 = 0, 2 y0, y1 = 0, 2 return im[y0:y1, x0:x1], (x0, y0) def converToPIL(self, im, quantizer, palette_size=256): """Convert image to Paletted PIL image. PIL used to not do a very good job at quantization, but I guess this has improved a lot (at least in Pillow). I don't think we need neuqant (and we can add it later if we really want). """ im_pil = ndarray_to_pil(im, 'gif') if quantizer in ('nq', 'neuquant'): # NeuQuant algorithm nq_samplefac = 10 # 10 seems good in general im_pil = im_pil.convert("RGBA") # NQ assumes RGBA nqInstance = NeuQuant(im_pil, nq_samplefac) # Learn colors im_pil = nqInstance.quantize(im_pil, colors=palette_size) elif quantizer in (0, 1, 2): # Adaptive PIL algorithm if quantizer == 2: im_pil = im_pil.convert("RGBA") else: im_pil = im_pil.convert("RGB") im_pil = im_pil.quantize(colors=palette_size, method=quantizer) else: raise ValueError('Invalid value for quantizer: %r' % quantizer) return im_pil imageio-2.1.2/imageio/plugins/freeimagemulti.py0000666000000000000000000002602313021637244020301 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for multi-image freeimafe formats, like animated GIF and ico. """ from __future__ import absolute_import, print_function, division import numpy as np from .. import formats from ..core import Format, image_as_uint from ._freeimage import fi, IO_FLAGS from .freeimage import FreeimageFormat class FreeimageMulti(FreeimageFormat): """ Base class for freeimage formats that support multiple images. """ _modes = 'iI' _fif = -1 class Reader(Format.Reader): def _open(self, flags=0): flags = int(flags) # Create bitmap self._bm = fi.create_multipage_bitmap(self.request.filename, self.format.fif, flags) self._bm.load_from_filename(self.request.get_local_filename()) def _close(self): self._bm.close() def _get_length(self): return len(self._bm) def _get_data(self, index): sub = self._bm.get_page(index) try: return sub.get_image_data(), sub.get_meta_data() finally: sub.close() def _get_meta_data(self, index): index = index or 0 if index < 0 or index >= len(self._bm): raise IndexError() sub = self._bm.get_page(index) try: return sub.get_meta_data() finally: sub.close() # -- class Writer(FreeimageFormat.Writer): def _open(self, flags=0): # Set flags self._flags = flags = int(flags) # Instantiate multi-page bitmap self._bm = fi.create_multipage_bitmap(self.request.filename, self.format.fif, flags) self._bm.save_to_filename(self.request.get_local_filename()) def _close(self): # Close bitmap self._bm.close() def _append_data(self, im, meta): # Prepare data if im.ndim == 3 and im.shape[-1] == 1: im = im[:, :, 0] im = image_as_uint(im, bitdepth=8) # Create sub bitmap sub1 = fi.create_bitmap(self._bm._filename, self.format.fif) # Let subclass add data to bitmap, optionally return new sub2 = self._append_bitmap(im, meta, sub1) # Add self._bm.append_bitmap(sub2) sub2.close() if sub1 is not sub2: sub1.close() def _append_bitmap(self, im, meta, bitmap): # Set data bitmap.allocate(im) bitmap.set_image_data(im) bitmap.set_meta_data(meta) # Return that same bitmap return bitmap def _set_meta_data(self, meta): pass # ignore global meta data class MngFormat(FreeimageMulti): """ An Mng format based on the Freeimage library. Read only. Seems broken. """ _fif = 6 def _can_write(self, request): # pragma: no cover return False class IcoFormat(FreeimageMulti): """ An ICO format based on the Freeimage library. This format supports grayscale, RGB and RGBA images. Parameters for reading ---------------------- makealpha : bool Convert to 32-bit and create an alpha channel from the AND- mask when loading. Default False. Note that this returns wrong results if the image was already RGBA. """ _fif = 1 class Reader(FreeimageMulti.Reader): def _open(self, flags=0, makealpha=False): # Build flags from kwargs flags = int(flags) if makealpha: flags |= IO_FLAGS.ICO_MAKEALPHA return FreeimageMulti.Reader._open(self, flags) class GifFormat(FreeimageMulti): """ A format for reading and writing static and animated GIF, based on the Freeimage library. Images read with this format are always RGBA. Currently, the alpha channel is ignored when saving RGB images with this format. Parameters for reading ---------------------- playback : bool 'Play' the GIF to generate each frame (as 32bpp) instead of returning raw frame data when loading. Default True. Parameters for saving --------------------- loop : int The number of iterations. Default 0 (meaning loop indefinitely) duration : {float, list} The duration (in seconds) of each frame. Either specify one value that is used for all frames, or one value for each frame. fps : float The number of frames per second. If duration is not given, the duration for each frame is set to 1/fps. Default 10. palettesize : int The number of colors to quantize the image to. Is rounded to the nearest power of two. Default 256. quantizer : {'wu', 'nq'} The quantization algorithm: * wu - Wu, Xiaolin, Efficient Statistical Computations for Optimal Color Quantization * nq (neuqant) - Dekker A. H., Kohonen neural networks for optimal color quantization subrectangles : bool If True, will try and optimize the GIF by storing only the rectangular parts of each frame that change with respect to the previous. Unfortunately, this option seems currently broken because FreeImage does not handle DisposalMethod correctly. Default False. """ _fif = 25 class Reader(FreeimageMulti.Reader): def _open(self, flags=0, playback=True): # Build flags from kwargs flags = int(flags) if playback: flags |= IO_FLAGS.GIF_PLAYBACK FreeimageMulti.Reader._open(self, flags) def _get_data(self, index): im, meta = FreeimageMulti.Reader._get_data(self, index) # im = im[:, :, :3] # Drop alpha channel return im, meta # -- writer class Writer(FreeimageMulti.Writer): # todo: subrectangles # todo: global palette def _open(self, flags=0, loop=0, duration=None, fps=10, palettesize=256, quantizer='Wu', subrectangles=False): # Check palettesize if palettesize < 2 or palettesize > 256: raise ValueError('GIF quantize param must be 2..256') if palettesize not in [2, 4, 8, 16, 32, 64, 128, 256]: palettesize = 2 ** int(np.log2(128) + 0.999) print('Warning: palettesize (%r) modified to a factor of ' 'two between 2-256.' % palettesize) self._palettesize = palettesize # Check quantizer self._quantizer = {'wu': 0, 'nq': 1}.get(quantizer.lower(), None) if self._quantizer is None: raise ValueError('Invalid quantizer, must be "wu" or "nq".') # Check frametime if duration is None: self._frametime = [int(1000 / float(fps))] elif isinstance(duration, list): self._frametime = [int(1000 * d) for d in duration] elif isinstance(duration, (float, int)): self._frametime = [int(1000 * duration)] else: raise ValueError('Invalid value for duration: %r' % duration) # Check subrectangles self._subrectangles = bool(subrectangles) self._prev_im = None # Init FreeimageMulti.Writer._open(self, flags) # Set global meta data self._meta = {} self._meta['ANIMATION'] = { # 'GlobalPalette': np.array([0]).astype(np.uint8), 'Loop': np.array([loop]).astype(np.uint32), #'LogicalWidth': np.array([x]).astype(np.uint16), #'LogicalHeight': np.array([x]).astype(np.uint16), } def _append_bitmap(self, im, meta, bitmap): # Prepare meta data meta = meta.copy() meta_a = meta['ANIMATION'] = {} # If this is the first frame, assign it our "global" meta data if len(self._bm) == 0: meta.update(self._meta) meta_a = meta['ANIMATION'] # Set frame time index = len(self._bm) if index < len(self._frametime): ft = self._frametime[index] else: ft = self._frametime[-1] meta_a['FrameTime'] = np.array([ft]).astype(np.uint32) # Check array if im.ndim == 3 and im.shape[-1] == 4: im = im[:, :, :3] # Process subrectangles im_uncropped = im if self._subrectangles and self._prev_im is not None: im, xy = self._get_sub_rectangles(self._prev_im, im) meta_a['DisposalMethod'] = np.array([1]).astype(np.uint8) meta_a['FrameLeft'] = np.array([xy[0]]).astype(np.uint16) meta_a['FrameTop'] = np.array([xy[1]]).astype(np.uint16) self._prev_im = im_uncropped # Set image data sub2 = sub1 = bitmap sub1.allocate(im) sub1.set_image_data(im) # Quantize it if its RGB if im.ndim == 3 and im.shape[-1] == 3: sub2 = sub1.quantize(self._quantizer, self._palettesize) # If single image, omit animation data if self.request.mode[1] == 'i': del meta['ANIMATION'] # Set meta data and return sub2.set_meta_data(meta) return sub2 def _get_sub_rectangles(self, prev, im): """ Calculate the minimal rectangles that need updating each frame. Returns a two-element tuple containing the cropped images and a list of x-y positions. """ # Get difference, sum over colors diff = np.abs(im - prev) if diff.ndim == 3: diff = diff.sum(2) # Get begin and end for both dimensions X = np.argwhere(diff.sum(0)) Y = np.argwhere(diff.sum(1)) # Get rect coordinates if X.size and Y.size: x0, x1 = X[0], X[-1]+1 y0, y1 = Y[0], Y[-1]+1 else: # No change ... make it minimal x0, x1 = 0, 2 y0, y1 = 0, 2 # Cut out and return return im[y0:y1, x0:x1], (int(x0), int(y0)) # formats.add_format(MngFormat('MNG', 'Multiple network graphics', # '.mng', 'iI')) formats.add_format(IcoFormat('ICO-FI', 'Windows icon', '.ico', 'iI')) formats.add_format(GifFormat('GIF-FI', 'Static and animated gif (FreeImage)', '.gif', 'iI')) imageio-2.1.2/imageio/plugins/avbin.py0000666000000000000000000004025513021637244016404 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin for reading videos via AvBin Would be nice if we could capture webcam with this, but unfortunately, avbin does not currently support this. """ from __future__ import absolute_import, print_function, division import numpy as np import ctypes import sys import os from .. import formats from ..core import (Format, get_platform, get_remote_file, InternetNotAllowedError, NeedDownloadError) FNAME_PER_PLATFORM = { 'osx64': 'libavbin-10-osx.dylib', 'win32': 'avbin-10-win32.dll', 'win64': 'avbin-10-win64.dll', 'linux32': 'libavbin-10-linux32.so', 'linux64': 'libavbin-10-linux64.so', } AVBIN_RESULT_ERROR = -1 AVBIN_RESULT_OK = 0 #AVbinResult = ctypes.c_int def AVbinResult(x): if x != AVBIN_RESULT_OK: raise RuntimeError('AVBin returned error code %i' % x) return x AVBIN_STREAM_TYPE_UNKNOWN = 0 AVBIN_STREAM_TYPE_VIDEO = 1 AVBIN_STREAM_TYPE_AUDIO = 2 AVbinStreamType = ctypes.c_int AVBIN_SAMPLE_FORMAT_U8 = 0 AVBIN_SAMPLE_FORMAT_S16 = 1 AVBIN_SAMPLE_FORMAT_S24 = 2 AVBIN_SAMPLE_FORMAT_S32 = 3 AVBIN_SAMPLE_FORMAT_FLOAT = 4 AVbinSampleFormat = ctypes.c_int AVBIN_LOG_QUIET = -8 AVBIN_LOG_PANIC = 0 AVBIN_LOG_FATAL = 8 AVBIN_LOG_ERROR = 16 AVBIN_LOG_WARNING = 24 AVBIN_LOG_INFO = 32 AVBIN_LOG_VERBOSE = 40 AVBIN_LOG_DEBUG = 48 AVbinLogLevel = ctypes.c_int AVbinFileP = ctypes.c_void_p AVbinStreamP = ctypes.c_void_p Timestamp = ctypes.c_int64 class AVbinFileInfo(ctypes.Structure): _fields_ = [ ('structure_size', ctypes.c_size_t), ('n_streams', ctypes.c_int), ('start_time', Timestamp), ('duration', Timestamp), ('title', ctypes.c_char * 512), ('author', ctypes.c_char * 512), ('copyright', ctypes.c_char * 512), ('comment', ctypes.c_char * 512), ('album', ctypes.c_char * 512), ('year', ctypes.c_int), ('track', ctypes.c_int), ('genre', ctypes.c_char * 32), ] class _AVbinStreamInfoVideo8(ctypes.Structure): _fields_ = [ ('width', ctypes.c_uint), ('height', ctypes.c_uint), ('sample_aspect_num', ctypes.c_uint), ('sample_aspect_den', ctypes.c_uint), ('frame_rate_num', ctypes.c_uint), ('frame_rate_den', ctypes.c_uint), ] class _AVbinStreamInfoAudio8(ctypes.Structure): _fields_ = [ ('sample_format', ctypes.c_int), ('sample_rate', ctypes.c_uint), ('sample_bits', ctypes.c_uint), ('channels', ctypes.c_uint), ] class _AVbinStreamInfoUnion8(ctypes.Union): _fields_ = [ ('video', _AVbinStreamInfoVideo8), ('audio', _AVbinStreamInfoAudio8), ] class AVbinStreamInfo8(ctypes.Structure): _fields_ = [ ('structure_size', ctypes.c_size_t), ('type', ctypes.c_int), ('u', _AVbinStreamInfoUnion8) ] class AVbinPacket(ctypes.Structure): _fields_ = [ ('structure_size', ctypes.c_size_t), ('timestamp', Timestamp), ('stream_index', ctypes.c_int), ('data', ctypes.POINTER(ctypes.c_uint8)), ('size', ctypes.c_size_t), ] AVbinLogCallback = ctypes.CFUNCTYPE(None, ctypes.c_char_p, ctypes.c_int, ctypes.c_char_p) def timestamp_from_avbin(timestamp): return float(timestamp) / 1000000 def download(): """ Download the avbin library to your computer. """ plat = get_platform() if not (plat and plat in FNAME_PER_PLATFORM): raise RuntimeError('AVBIN lib is not available for platform %s' % plat) get_remote_file('avbin/' + FNAME_PER_PLATFORM[plat]) def get_avbin_lib(): """ Get avbin .dll/.dylib/.so """ lib = os.getenv('IMAGEIO_AVBIN_LIB', None) if lib: # pragma: no cover return lib platform = get_platform() try: lib = FNAME_PER_PLATFORM[platform] except KeyError: # pragma: no cover raise RuntimeError('Avbin plugin is not supported on platform %s' % platform) try: return get_remote_file('avbin/' + lib, auto=False) except NeedDownloadError: raise NeedDownloadError('Need avbin library. ' 'You can download it by calling:\n' ' imageio.plugins.avbin.download()') except InternetNotAllowedError as err: raise IOError('Could not download avbin lib:\n%s' % str(err)) # in this case we raise. Can we try finding the system lib? class AvBinFormat(Format): """ The AvBinFormat uses the AvBin library (based on libav) to read video files. This plugin is more efficient than the ffmpeg plugin, because it uses ctypes (rather than a pipe like the ffmpeg plugin does). Further, it supports reading images into a given numpy array. The limitations of this plugin are that seeking, writing and camera feeds are not supported. See the ffmpeg format for these features. Parameters for reading ---------------------- loop : bool If True, the video will rewind as soon as a frame is requested beyond the last frame. Otherwise, IndexError is raised. Default False. stream : int Specifies which video stream to read. Default 0. videoformat : str | None Specifies the video format (e.g. 'avi', or 'mp4'). If this is None (default) the format is auto-detected. Parameters for get_data ----------------------- out : np.ndarray destination for the data retrieved. This can be used to save time-consuming memory allocations when reading multiple image sequntially. The shape of out must be (width, height, 3), the dtype must be np.uint8 and it must be C-contiguous. Use the create_empty_image() method of the reader object to create an array that is suitable for get_data. """ def __init__(self, *args, **kwargs): self._avbin = None Format.__init__(self, *args, **kwargs) def _can_read(self, request): if request.mode[1] in (self.modes + '?'): if request.filename.lower().endswith(self.extensions): return True def _can_write(self, request): return False # AvBin does not support writing videos def avbinlib(self, libpath=None): if self._avbin is not None and libpath is None: # Already loaded return self._avbin if libpath is None: libpath = get_avbin_lib() self._avbin = avbin = ctypes.cdll.LoadLibrary(libpath) avbin.avbin_get_version.restype = ctypes.c_int avbin.avbin_get_ffmpeg_revision.restype = ctypes.c_int avbin.avbin_get_audio_buffer_size.restype = ctypes.c_size_t avbin.avbin_have_feature.restype = ctypes.c_int avbin.avbin_have_feature.argtypes = [ctypes.c_char_p] avbin.avbin_init.restype = AVbinResult avbin.avbin_set_log_level.restype = AVbinResult avbin.avbin_set_log_level.argtypes = [AVbinLogLevel] avbin.avbin_set_log_callback.argtypes = [AVbinLogCallback] avbin.avbin_open_filename.restype = AVbinFileP avbin.avbin_open_filename.argtypes = [ctypes.c_char_p] avbin.avbin_open_filename_with_format.restype = AVbinFileP avbin.avbin_open_filename_with_format.argtypes = [ctypes.c_char_p, ctypes.c_char_p] avbin.avbin_close_file.argtypes = [AVbinFileP] avbin.avbin_seek_file.argtypes = [AVbinFileP, Timestamp] avbin.avbin_file_info.argtypes = [AVbinFileP, ctypes.POINTER(AVbinFileInfo)] avbin.avbin_stream_info.argtypes = [AVbinFileP, ctypes.c_int, ctypes.POINTER(AVbinStreamInfo8)] avbin.avbin_open_stream.restype = ctypes.c_void_p avbin.avbin_open_stream.argtypes = [AVbinFileP, ctypes.c_int] avbin.avbin_close_stream.argtypes = [AVbinStreamP] avbin.avbin_read.argtypes = [AVbinFileP, ctypes.POINTER(AVbinPacket)] avbin.avbin_read.restype = AVbinResult avbin.avbin_decode_audio.restype = ctypes.c_int avbin.avbin_decode_audio.argtypes = [AVbinStreamP, ctypes.c_void_p, ctypes.c_size_t, ctypes.c_void_p, ctypes.POINTER(ctypes.c_int)] avbin.avbin_decode_video.restype = ctypes.c_int avbin.avbin_decode_video.argtypes = [AVbinStreamP, ctypes.c_void_p, ctypes.c_size_t, ctypes.c_void_p] avbin.avbin_init() avbin.avbin_set_log_level(AVBIN_LOG_QUIET) return self._avbin # -- reader class Reader(Format.Reader): def _open(self, loop=False, stream=0, videoformat=None, skipempty=False): # Init args self._arg_loop = bool(loop) self._arg_stream = int(stream) self._arg_videoformat = videoformat self._arg_skipempty = bool(skipempty) # Init other variables self._filename = self.request.get_local_filename() self._file = None self._meta = {'plugin': 'avbin'} self._init_video() def _init_video(self): avbin = self.format.avbinlib() filename_bytes = self._filename.encode(sys.getfilesystemencoding()) # Open file if self._arg_videoformat is not None: self._file = avbin.avbin_open_filename_with_format( filename_bytes, self._arg_videoformat.encode('ascii')) else: self._file = avbin.avbin_open_filename(filename_bytes) if not self._file: raise IOError('Could not open "%s"' % self._filename) # Get info self._info = AVbinFileInfo() self._info.structure_size = ctypes.sizeof(self._info) avbin.avbin_file_info(self._file, ctypes.byref(self._info)) # Store some info in meta dict self._meta['avbin_version'] = str(avbin.avbin_get_version()) self._meta['title'] = self._info.title.decode('utf-8') self._meta['author'] = self._info.author.decode('utf-8') # The reported duration is different from what we get from ffmpeg, # and using it as is will yielf a wrong nframes. We correct below self._meta['duration'] = timestamp_from_avbin(self._info.duration) # Parse through the available streams in the file and find # the video stream specified by stream video_stream_counter = 0 for i in range(self._info.n_streams): info = AVbinStreamInfo8() info.structure_size = ctypes.sizeof(info) avbin.avbin_stream_info(self._file, i, info) if info.type != AVBIN_STREAM_TYPE_VIDEO: continue if video_stream_counter != self._arg_stream: video_stream_counter += 1 continue # We have the n-th (n=stream number specified) video stream self._stream = avbin.avbin_open_stream(self._file, i) # Store info specific to this stream self._stream_info = info self._width = info.u.video.width self._height = info.u.video.height # Store meta info self._meta['size'] = self._width, self._height self._meta['source_size'] = self._width, self._height self._meta['fps'] = (float(info.u.video.frame_rate_num) / float(info.u.video.frame_rate_den)) self._meta['duration'] -= 1.0 / self._meta['fps'] # correct self._meta['nframes'] = int(self._meta['duration'] * self._meta['fps']) self._stream_index = i break else: raise IOError('Stream #%d not found in %r' % (self._arg_stream, self._filename)) self._packet = AVbinPacket() self._packet.structure_size = ctypes.sizeof(self._packet) self._framecounter = 0 def _close(self): if self._file is not None: avbin = self.format.avbinlib() avbin.avbin_close_file(self._file) self._file = None def _get_length(self): # Return the number of images. Can be np.inf # Note that nframes is an estimate that can be a few frames off # for very large video files return self._meta['nframes'] def create_empty_image(self): return np.zeros((self._height, self._width, 3), dtype=np.uint8) def _get_data(self, index, out=None): avbin = self.format.avbinlib() # Modulo index (for looping) if self._meta['nframes'] and self._meta['nframes'] < float('inf'): if self._arg_loop: index = index % self._meta['nframes'] # Check index if index < 0: raise IndexError('Frame index must be > 0') elif index >= self._meta['nframes']: raise IndexError('Reached end of video') elif index != self._framecounter: if index == 0: # Rewind self._close() self._init_video() return self._get_data(0) raise IndexError('Avbin format cannot seek') self._framecounter += 1 if out is None: out = self.create_empty_image() assert (out.dtype == np.uint8 and out.flags.c_contiguous and out.shape == (self._height, self._width, 3)) # Read from the file until the next packet of our video # stream is found while True: try: avbin.avbin_read(self._file, ctypes.byref(self._packet)) except RuntimeError: # todo: I hope we can fix this ... raise IndexError('Reached end of video too soon') if self._packet.stream_index != self._stream_index: continue # Decode the image, storing data in the out array try: ptr = out.ctypes.data except Exception: # pragma: no cover - IS_PYPY ptr = out.__array_interface__['data'][0] result = avbin.avbin_decode_video(self._stream, self._packet.data, self._packet.size, ptr) # Check for success. If not, continue reading the file stream # AK: disabled for now, because this will make the file # shorter; you're just dropping frames! We need to think # of a better solution ... if (not self._arg_skipempty) or result != -1: break # Return array and dummy meta data return out, dict(timestamp=self._packet.timestamp) def _get_meta_data(self, index): return self._meta # Register. You register an *instance* of a Format class. Here specify: format = AvBinFormat('avbin', # short name 'Many video formats (via AvBin, i.e. libav library)', 'mov avi mp4 mpg mpeg mkv', # list of extensions 'I' # modes, characters in iIvV ) formats.add_format(format) imageio-2.1.2/imageio/plugins/freeimage.py0000666000000000000000000004120713021637244017227 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # imageio is distributed under the terms of the (new) BSD License. """ Plugin that wraps the freeimage lib. The wrapper for Freeimage is part of the core of imageio, but it's functionality is exposed via the plugin system (therefore this plugin is very thin). """ from __future__ import absolute_import, print_function, division import numpy as np from .. import formats from ..core import Format, image_as_uint from ._freeimage import fi, download, IO_FLAGS, FNAME_PER_PLATFORM # noqa # todo: support files with only meta data class FreeimageFormat(Format): """ This is the default format used for FreeImage. Each Freeimage format has the 'flags' keyword argument. See the Freeimage documentation for more information. Parameters for reading ---------------------- flags : int A freeimage-specific option. In most cases we provide explicit parameters for influencing image reading. Parameters for saving ---------------------- flags : int A freeimage-specific option. In most cases we provide explicit parameters for influencing image saving. """ _modes = 'i' @property def fif(self): return self._fif # Set when format is created def _can_read(self, request): # Ask freeimage if it can read it, maybe ext missing if fi.has_lib(): if not hasattr(request, '_fif'): try: request._fif = fi.getFIF(request.filename, 'r', request.firstbytes) except Exception: # pragma: no cover request._fif = -1 if request._fif == self.fif: return True def _can_write(self, request): # Ask freeimage, because we are not aware of all formats if fi.has_lib(): if not hasattr(request, '_fif'): try: request._fif = fi.getFIF(request.filename, 'w') except Exception: # pragma: no cover request._fif = -1 if request._fif is self.fif: return True # -- class Reader(Format.Reader): def _get_length(self): return 1 def _open(self, flags=0): self._bm = fi.create_bitmap(self.request.filename, self.format.fif, flags) self._bm.load_from_filename(self.request.get_local_filename()) def _close(self): self._bm.close() def _get_data(self, index): if index != 0: raise IndexError('This format only supports singleton images.') return self._bm.get_image_data(), self._bm.get_meta_data() def _get_meta_data(self, index): if not (index is None or index == 0): raise IndexError() return self._bm.get_meta_data() # -- class Writer(Format.Writer): def _open(self, flags=0): self._flags = flags # Store flags for later use self._bm = None self._is_set = False # To prevent appending more than one image self._meta = {} def _close(self): # Set global meta data self._bm.set_meta_data(self._meta) # Write and close self._bm.save_to_filename(self.request.get_local_filename()) self._bm.close() def _append_data(self, im, meta): # Check if set if not self._is_set: self._is_set = True else: raise RuntimeError('Singleton image; ' 'can only append image data once.') # Pop unit dimension for grayscale images if im.ndim == 3 and im.shape[-1] == 1: im = im[:, :, 0] # Lazy instantaion of the bitmap, we need image data if self._bm is None: self._bm = fi.create_bitmap(self.request.filename, self.format.fif, self._flags) self._bm.allocate(im) # Set data self._bm.set_image_data(im) # There is no distinction between global and per-image meta data # for singleton images self._meta = meta def _set_meta_data(self, meta): self._meta = meta ## Special plugins # todo: there is also FIF_LOAD_NOPIXELS, # but perhaps that should be used with get_meta_data. class FreeimageBmpFormat(FreeimageFormat): """ A BMP format based on the Freeimage library. This format supports grayscale, RGB and RGBA images. Parameters for saving --------------------- compression : bool Whether to compress the bitmap using RLE when saving. Default False. It seems this does not always work, but who cares, you should use PNG anyway. """ class Writer(FreeimageFormat.Writer): def _open(self, flags=0, compression=False): # Build flags from kwargs flags = int(flags) if compression: flags |= IO_FLAGS.BMP_SAVE_RLE else: flags |= IO_FLAGS.BMP_DEFAULT # Act as usual, but with modified flags return FreeimageFormat.Writer._open(self, flags) def _append_data(self, im, meta): im = image_as_uint(im, bitdepth=8) return FreeimageFormat.Writer._append_data(self, im, meta) class FreeimagePngFormat(FreeimageFormat): """ A PNG format based on the Freeimage library. This format supports grayscale, RGB and RGBA images. Parameters for reading ---------------------- ignoregamma : bool Avoid gamma correction. Default False. Parameters for saving --------------------- compression : {0, 1, 6, 9} The compression factor. Higher factors result in more compression at the cost of speed. Note that PNG compression is always lossless. Default 9. quantize : int If specified, turn the given RGB or RGBA image in a paletted image for more efficient storage. The value should be between 2 and 256. If the value of 0 the image is not quantized. interlaced : bool Save using Adam7 interlacing. Default False. """ class Reader(FreeimageFormat.Reader): def _open(self, flags=0, ignoregamma=False): # Build flags from kwargs flags = int(flags) if ignoregamma: flags |= IO_FLAGS.PNG_IGNOREGAMMA # Enter as usual, with modified flags return FreeimageFormat.Reader._open(self, flags) # -- class Writer(FreeimageFormat.Writer): def _open(self, flags=0, compression=9, quantize=0, interlaced=False): compression_map = {0: IO_FLAGS.PNG_Z_NO_COMPRESSION, 1: IO_FLAGS.PNG_Z_BEST_SPEED, 6: IO_FLAGS.PNG_Z_DEFAULT_COMPRESSION, 9: IO_FLAGS.PNG_Z_BEST_COMPRESSION, } # Build flags from kwargs flags = int(flags) if interlaced: flags |= IO_FLAGS.PNG_INTERLACED try: flags |= compression_map[compression] except KeyError: raise ValueError('Png compression must be 0, 1, 6, or 9.') # Act as usual, but with modified flags return FreeimageFormat.Writer._open(self, flags) def _append_data(self, im, meta): if str(im.dtype) == 'uint16': im = image_as_uint(im, bitdepth=16) else: im = image_as_uint(im, bitdepth=8) FreeimageFormat.Writer._append_data(self, im, meta) # Quantize? q = int(self.request.kwargs.get('quantize', False)) if not q: pass elif not (im.ndim == 3 and im.shape[-1] == 3): raise ValueError('Can only quantize RGB images') elif q < 2 or q > 256: raise ValueError('PNG quantize param must be 2..256') else: bm = self._bm.quantize(0, q) self._bm.close() self._bm = bm class FreeimageJpegFormat(FreeimageFormat): """ A JPEG format based on the Freeimage library. This format supports grayscale and RGB images. Parameters for reading ---------------------- exifrotate : bool Automatically rotate the image according to the exif flag. Default True. If 2 is given, do the rotation in Python instead of freeimage. quickread : bool Read the image more quickly, at the expense of quality. Default False. Parameters for saving --------------------- quality : scalar The compression factor of the saved image (1..100), higher numbers result in higher quality but larger file size. Default 75. progressive : bool Save as a progressive JPEG file (e.g. for images on the web). Default False. optimize : bool On saving, compute optimal Huffman coding tables (can reduce a few percent of file size). Default False. baseline : bool Save basic JPEG, without metadata or any markers. Default False. """ class Reader(FreeimageFormat.Reader): def _open(self, flags=0, exifrotate=True, quickread=False): # Build flags from kwargs flags = int(flags) if exifrotate and exifrotate != 2: flags |= IO_FLAGS.JPEG_EXIFROTATE if not quickread: flags |= IO_FLAGS.JPEG_ACCURATE # Enter as usual, with modified flags return FreeimageFormat.Reader._open(self, flags) def _get_data(self, index): im, meta = FreeimageFormat.Reader._get_data(self, index) im = self._rotate(im, meta) return im, meta def _rotate(self, im, meta): """ Use Orientation information from EXIF meta data to orient the image correctly. Freeimage is also supposed to support that, and I am pretty sure it once did, but now it does not, so let's just do it in Python. Edit: and now it works again, just leave in place as a fallback. """ if self.request.kwargs.get('exifrotate', None) == 2: try: ori = meta['EXIF_MAIN']['Orientation'] except KeyError: # pragma: no cover pass # Orientation not available else: # pragma: no cover - we cannot touch all cases # www.impulseadventure.com/photo/exif-orientation.html if ori in [1, 2]: pass if ori in [3, 4]: im = np.rot90(im, 2) if ori in [5, 6]: im = np.rot90(im, 3) if ori in [7, 8]: im = np.rot90(im) if ori in [2, 4, 5, 7]: # Flipped cases (rare) im = np.fliplr(im) return im # -- class Writer(FreeimageFormat.Writer): def _open(self, flags=0, quality=75, progressive=False, optimize=False, baseline=False): # Test quality quality = int(quality) if quality < 1 or quality > 100: raise ValueError('JPEG quality should be between 1 and 100.') # Build flags from kwargs flags = int(flags) flags |= quality if progressive: flags |= IO_FLAGS.JPEG_PROGRESSIVE if optimize: flags |= IO_FLAGS.JPEG_OPTIMIZE if baseline: flags |= IO_FLAGS.JPEG_BASELINE # Act as usual, but with modified flags return FreeimageFormat.Writer._open(self, flags) def _append_data(self, im, meta): if im.ndim == 3 and im.shape[-1] == 4: raise IOError('JPEG does not support alpha channel.') im = image_as_uint(im, bitdepth=8) return FreeimageFormat.Writer._append_data(self, im, meta) ## Create the formats SPECIAL_CLASSES = {'jpeg': FreeimageJpegFormat, 'png': FreeimagePngFormat, 'bmp': FreeimageBmpFormat, 'gif': None, # defined in freeimagemulti 'ico': None, # defined in freeimagemulti 'mng': None, # defined in freeimagemulti } # rename TIFF to make way for the tiffile plugin NAME_MAP = {'TIFF': 'FI_TIFF'} # This is a dump of supported FreeImage formats on Linux fi verion 3.16.0 # > imageio.plugins.freeimage.create_freeimage_formats() # > for i in sorted(imageio.plugins.freeimage.fiformats): print('%r,' % (i, )) fiformats = [ ('BMP', 0, 'Windows or OS/2 Bitmap', 'bmp'), ('CUT', 21, 'Dr. Halo', 'cut'), ('DDS', 24, 'DirectX Surface', 'dds'), ('EXR', 29, 'ILM OpenEXR', 'exr'), ('G3', 27, 'Raw fax format CCITT G.3', 'g3'), ('GIF', 25, 'Graphics Interchange Format', 'gif'), ('HDR', 26, 'High Dynamic Range Image', 'hdr'), ('ICO', 1, 'Windows Icon', 'ico'), ('IFF', 5, 'IFF Interleaved Bitmap', 'iff,lbm'), ('J2K', 30, 'JPEG-2000 codestream', 'j2k,j2c'), ('JNG', 3, 'JPEG Network Graphics', 'jng'), ('JP2', 31, 'JPEG-2000 File Format', 'jp2'), ('JPEG', 2, 'JPEG - JFIF Compliant', 'jpg,jif,jpeg,jpe'), ('JPEG-XR', 36, 'JPEG XR image format', 'jxr,wdp,hdp'), ('KOALA', 4, 'C64 Koala Graphics', 'koa'), ('MNG', 6, 'Multiple-image Network Graphics', 'mng'), ('PBM', 7, 'Portable Bitmap (ASCII)', 'pbm'), ('PBMRAW', 8, 'Portable Bitmap (RAW)', 'pbm'), ('PCD', 9, 'Kodak PhotoCD', 'pcd'), ('PCX', 10, 'Zsoft Paintbrush', 'pcx'), ('PFM', 32, 'Portable floatmap', 'pfm'), ('PGM', 11, 'Portable Greymap (ASCII)', 'pgm'), ('PGMRAW', 12, 'Portable Greymap (RAW)', 'pgm'), ('PICT', 33, 'Macintosh PICT', 'pct,pict,pic'), ('PNG', 13, 'Portable Network Graphics', 'png'), ('PPM', 14, 'Portable Pixelmap (ASCII)', 'ppm'), ('PPMRAW', 15, 'Portable Pixelmap (RAW)', 'ppm'), ('PSD', 20, 'Adobe Photoshop', 'psd'), ('RAS', 16, 'Sun Raster Image', 'ras'), ('RAW', 34, 'RAW camera image', '3fr,arw,bay,bmq,cap,cine,cr2,crw,cs1,dc2,' 'dcr,drf,dsc,dng,erf,fff,ia,iiq,k25,kc2,kdc,mdc,mef,mos,mrw,nef,nrw,orf,' 'pef,ptx,pxn,qtk,raf,raw,rdc,rw2,rwl,rwz,sr2,srf,srw,sti'), ('SGI', 28, 'SGI Image Format', 'sgi,rgb,rgba,bw'), ('TARGA', 17, 'Truevision Targa', 'tga,targa'), ('TIFF', 18, 'Tagged Image File Format', 'tif,tiff'), ('WBMP', 19, 'Wireless Bitmap', 'wap,wbmp,wbm'), ('WebP', 35, 'Google WebP image format', 'webp'), ('XBM', 22, 'X11 Bitmap Format', 'xbm'), ('XPM', 23, 'X11 Pixmap Format', 'xpm'), ] def _create_predefined_freeimage_formats(): for name, i, des, ext in fiformats: # name = NAME_MAP.get(name, name) # Get class for format FormatClass = SPECIAL_CLASSES.get(name.lower(), FreeimageFormat) if FormatClass: # Create Format and add format = FormatClass(name + '-FI', des, ext, FormatClass._modes) format._fif = i formats.add_format(format) def create_freeimage_formats(): """ By default, imageio registers a list of predefined formats that freeimage can handle. If your version of imageio can handle more formats, you can call this function to register them. """ fiformats[:] = [] # Freeimage available? if fi is None: # pragma: no cover return # Init lib = fi._lib # Create formats for i in range(lib.FreeImage_GetFIFCount()): if lib.FreeImage_IsPluginEnabled(i): # Get info name = lib.FreeImage_GetFormatFromFIF(i).decode('ascii') des = lib.FreeImage_GetFIFDescription(i).decode('ascii') ext = lib.FreeImage_GetFIFExtensionList(i).decode('ascii') fiformats.append((name, i, des, ext)) # name = NAME_MAP.get(name, name) # Get class for format FormatClass = SPECIAL_CLASSES.get(name.lower(), FreeimageFormat) if not FormatClass: continue # Create Format and add format = FormatClass(name + '-FI', des, ext, FormatClass._modes) format._fif = i formats.add_format(format, overwrite=True) _create_predefined_freeimage_formats() imageio-2.1.2/imageio/plugins/pillow_info.py0000666000000000000000000011007313022650722017617 0ustar rootroot# -*- coding: utf-8 -*- # Copyright (c) 2015, imageio contributors # styletest: ignore E122 E123 E501 """ Module that contain info about the Pillow formats. The first part of this module generates this info and writes it to its own bottom half if run as a script. """ def generate_info(): from urllib.request import urlopen import PIL from PIL import Image Image.init() ids = [] formats = [] docs = {} # Collect formats and their summary from plugin modules for mod_name in dir(PIL): if 'ImagePlugin' in mod_name: mod = getattr(PIL, mod_name) for ob_name in dir(mod): ob = getattr(mod, ob_name) if isinstance(ob, type) and issubclass(ob, Image.Image): if ob.format in ids: print('Found duplicate for', ob.format) else: ids.append(ob.format) formats.append((ob.format, ob.format_description)) # Add extension info for i in range(len(formats)): id, summary = formats[i] ext = ' '.join([e for e in Image.EXTENSION if Image.EXTENSION[e] == id]) formats[i] = id, summary, ext # Get documentation of formats url = 'https://raw.githubusercontent.com/python-pillow/Pillow/master/docs/handbook/image-file-formats.rst' # noqa lines = urlopen(url).read().decode().splitlines() lines.append('End') lines.append('---') # for the end # Parse documentation cur_name = '' cur_part = [] for i in range(len(lines)): line = lines[i] if line.startswith(('^^^', '---', '===')): if cur_name and cur_name in ids: text = '\n'.join(cur_part[:-1]) text = text.replace('versionadded::', 'versionadded:: Pillow ') text = text.replace('Image.open`', 'Image.write`') docs[cur_name] = text cur_part = [] cur_name = lines[i-1].strip().replace(' ', '').upper() else: cur_part.append(' ' + line) # Fill in the blancs for id in ids: if id in docs: docs[id] = '*This is a copy from the Pillow docs.*\n\n' + docs[id] else: docs[id] = 'No docs for %s.' % id print('no docs for', id) # Sort before writing formats.sort(key=lambda x: x[0]) ids.sort() # Read file ... code = open(__file__, 'rb').read().decode() code, divider, _ = code.partition('## BELOW IS ' + 'AUTOGENERATED') code += divider + '\n\n' # Write formats code += 'pillow_formats = [\n' for i in range(len(formats)): print(formats[i]) code += ' (%r, %r, %r),\n' % formats[i] code += ' ]\n\n\n' # Write docs code += 'pillow_docs = {\n' for id in ids: code += '%r:\nu"""%s""",\n' % (id, docs[id]) code += '}\n' # Write back with open(__file__, 'wb') as f: f.write(code.encode()) if __name__ == '__main__': generate_info() ## BELOW IS AUTOGENERATED pillow_formats = [ ('BMP', 'Windows Bitmap', '.bmp'), ('BUFR', 'BUFR', '.bufr'), ('CUR', 'Windows Cursor', '.cur'), ('DCX', 'Intel DCX', '.dcx'), ('DDS', 'DirectDraw Surface', '.dds'), ('DIB', 'Windows Bitmap', ''), ('EPS', 'Encapsulated Postscript', '.ps .eps'), ('FITS', 'FITS', '.fit .fits'), ('FLI', 'Autodesk FLI/FLC Animation', '.fli .flc'), ('FPX', 'FlashPix', '.fpx'), ('FTEX', 'Texture File Format (IW2:EOC)', '.ftc .ftu'), ('GBR', 'GIMP brush file', '.gbr'), ('GIF', 'Compuserve GIF', '.gif'), ('GRIB', 'GRIB', '.grib'), ('HDF5', 'HDF5', '.h5 .hdf'), ('ICNS', 'Mac OS icns resource', '.icns'), ('ICO', 'Windows Icon', '.ico'), ('IM', 'IFUNC Image Memory', '.im'), ('IMT', 'IM Tools', ''), ('IPTC', 'IPTC/NAA', '.iim'), ('JPEG', 'JPEG (ISO 10918)', '.jfif .jpeg .jpg .jpe'), ('JPEG2000', 'JPEG 2000 (ISO 15444)', '.jpf .j2c .jpc .jp2 .j2k .jpx'), ('MCIDAS', 'McIdas area file', ''), ('MIC', 'Microsoft Image Composer', '.mic'), ('MPEG', 'MPEG', '.mpg .mpeg'), ('MPO', 'MPO (CIPA DC-007)', '.mpo'), ('MSP', 'Windows Paint', '.msp'), ('PCD', 'Kodak PhotoCD', '.pcd'), ('PCX', 'Paintbrush', '.pcx'), ('PIXAR', 'PIXAR raster image', '.pxr'), ('PNG', 'Portable network graphics', '.png'), ('PPM', 'Pbmplus image', '.ppm .pgm .pbm'), ('PSD', 'Adobe Photoshop', '.psd'), ('SGI', 'SGI Image File Format', '.rgb .sgi .bw .rgba'), ('SPIDER', 'Spider 2D image', ''), ('SUN', 'Sun Raster File', '.ras'), ('TGA', 'Targa', '.tga'), ('TIFF', 'Adobe TIFF', '.tif .tiff'), ('WEBP', 'WebP image', '.webp'), ('WMF', 'Windows Metafile', '.wmf .emf'), ('XBM', 'X11 Bitmap', '.xbm'), ('XPM', 'X11 Pixel Map', '.xpm'), ('XVThumb', 'XV thumbnail image', ''), ] pillow_docs = { 'BMP': u"""*This is a copy from the Pillow docs.* PIL reads and writes Windows and OS/2 BMP files containing ``1``, ``L``, ``P``, or ``RGB`` data. 16-colour images are read as ``P`` images. Run-length encoding is not supported. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **compression** Set to ``bmp_rle`` if the file is run-length encoded. """, 'BUFR': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 1.1.3 PIL provides a stub driver for BUFR files. To add read or write support to your application, use :py:func:`PIL.BufrStubImagePlugin.register_handler`. """, 'CUR': u"""*This is a copy from the Pillow docs.* CUR is used to store cursors on Windows. The CUR decoder reads the largest available cursor. Animated cursors are not supported. """, 'DCX': u"""*This is a copy from the Pillow docs.* DCX is a container file format for PCX files, defined by Intel. The DCX format is commonly used in fax applications. The DCX decoder can read files containing ``1``, ``L``, ``P``, or ``RGB`` data. When the file is opened, only the first image is read. You can use :py:meth:`~file.seek` or :py:mod:`~PIL.ImageSequence` to read other images. """, 'DDS': u"""*This is a copy from the Pillow docs.* DDS is a popular container texture format used in video games and natively supported by DirectX. Currently, DXT1, DXT3, and DXT5 pixel formats are supported and only in ``RGBA`` mode. .. versionadded:: Pillow 3.4.0 DXT3 """, 'DIB': u"""No docs for DIB.""", 'EPS': u"""*This is a copy from the Pillow docs.* PIL identifies EPS files containing image data, and can read files that contain embedded raster images (ImageData descriptors). If Ghostscript is available, other EPS files can be read as well. The EPS driver can also write EPS images. The EPS driver can read EPS images in ``L``, ``LAB``, ``RGB`` and ``CMYK`` mode, but Ghostscript may convert the images to ``RGB`` mode rather than leaving them in the original color space. The EPS driver can write images in ``L``, ``RGB`` and ``CMYK`` modes. If Ghostscript is available, you can call the :py:meth:`~PIL.Image.Image.load` method with the following parameter to affect how Ghostscript renders the EPS **scale** Affects the scale of the resultant rasterized image. If the EPS suggests that the image be rendered at 100px x 100px, setting this parameter to 2 will make the Ghostscript render a 200px x 200px image instead. The relative position of the bounding box is maintained:: im = Image.open(...) im.size #(100,100) im.load(scale=2) im.size #(200,200) """, 'FITS': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 1.1.5 PIL provides a stub driver for FITS files. To add read or write support to your application, use :py:func:`PIL.FitsStubImagePlugin.register_handler`. """, 'FLI': u"""No docs for FLI.""", 'FPX': u"""*This is a copy from the Pillow docs.* PIL reads Kodak FlashPix files. In the current version, only the highest resolution image is read from the file, and the viewing transform is not taken into account. .. note:: To enable full FlashPix support, you need to build and install the IJG JPEG library before building the Python Imaging Library. See the distribution README for details. """, 'FTEX': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 3.2.0 The FTEX decoder reads textures used for 3D objects in Independence War 2: Edge Of Chaos. The plugin reads a single texture per file, in the compressed and uncompressed formats. """, 'GBR': u"""*This is a copy from the Pillow docs.* The GBR decoder reads GIMP brush files, version 1 and 2. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **comment** The brush name. **spacing** The spacing between the brushes, in pixels. Version 2 only. GD ^^ PIL reads uncompressed GD files. Note that this file format cannot be automatically identified, so you must use :py:func:`PIL.GdImageFile.open` to read such a file. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **transparency** Transparency color index. This key is omitted if the image is not transparent. """, 'GIF': u"""*This is a copy from the Pillow docs.* PIL reads GIF87a and GIF89a versions of the GIF file format. The library writes run-length encoded files in GIF87a by default, unless GIF89a features are used or GIF89a is already in use. Note that GIF files are always read as grayscale (``L``) or palette mode (``P``) images. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **background** Default background color (a palette color index). **duration** Time between frames in an animation (in milliseconds). **transparency** Transparency color index. This key is omitted if the image is not transparent. **version** Version (either ``GIF87a`` or ``GIF89a``). **duration** May not be present. The time to display each frame of the GIF, in milliseconds. **loop** May not be present. The number of times the GIF should loop. Reading sequences ~~~~~~~~~~~~~~~~~ The GIF loader supports the :py:meth:`~file.seek` and :py:meth:`~file.tell` methods. You can seek to the next frame (``im.seek(im.tell() + 1)``), or rewind the file by seeking to the first frame. Random access is not supported. ``im.seek()`` raises an ``EOFError`` if you try to seek after the last frame. Saving sequences ~~~~~~~~~~~~~~~~ When calling :py:meth:`~PIL.Image.Image.save`, if a multiframe image is used, by default only the first frame will be saved. To save all frames, the ``save_all`` parameter must be present and set to ``True``. To append additional frames when saving, the ``append_images`` parameter works with ``save_all`` to append a list of images containing the extra frames:: im.save(out, save_all=True, append_images=[im1, im2, ...]) If present, the ``loop`` parameter can be used to set the number of times the GIF should loop, and the ``duration`` parameter can set the number of milliseconds between each frame. Reading local images ~~~~~~~~~~~~~~~~~~~~ The GIF loader creates an image memory the same size as the GIF file’s *logical screen size*, and pastes the actual pixel data (the *local image*) into this image. If you only want the actual pixel rectangle, you can manipulate the :py:attr:`~PIL.Image.Image.size` and :py:attr:`~PIL.Image.Image.tile` attributes before loading the file:: im = Image.open(...) if im.tile[0][0] == "gif": # only read the first "local image" from this GIF file tag, (x0, y0, x1, y1), offset, extra = im.tile[0] im.size = (x1 - x0, y1 - y0) im.tile = [(tag, (0, 0) + im.size, offset, extra)] """, 'GRIB': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 1.1.5 PIL provides a stub driver for GRIB files. The driver requires the file to start with a GRIB header. If you have files with embedded GRIB data, or files with multiple GRIB fields, your application has to seek to the header before passing the file handle to PIL. To add read or write support to your application, use :py:func:`PIL.GribStubImagePlugin.register_handler`. """, 'HDF5': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 1.1.5 PIL provides a stub driver for HDF5 files. To add read or write support to your application, use :py:func:`PIL.Hdf5StubImagePlugin.register_handler`. """, 'ICNS': u"""*This is a copy from the Pillow docs.* PIL reads and (macOS only) writes macOS ``.icns`` files. By default, the largest available icon is read, though you can override this by setting the :py:attr:`~PIL.Image.Image.size` property before calling :py:meth:`~PIL.Image.Image.load`. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` property: **sizes** A list of supported sizes found in this icon file; these are a 3-tuple, ``(width, height, scale)``, where ``scale`` is 2 for a retina icon and 1 for a standard icon. You *are* permitted to use this 3-tuple format for the :py:attr:`~PIL.Image.Image.size` property if you set it before calling :py:meth:`~PIL.Image.Image.load`; after loading, the size will be reset to a 2-tuple containing pixel dimensions (so, e.g. if you ask for ``(512, 512, 2)``, the final value of :py:attr:`~PIL.Image.Image.size` will be ``(1024, 1024)``). """, 'ICO': u"""*This is a copy from the Pillow docs.* ICO is used to store icons on Windows. The largest available icon is read. The :py:meth:`~PIL.Image.Image.save` method supports the following options: **sizes** A list of sizes including in this ico file; these are a 2-tuple, ``(width, height)``; Default to ``[(16, 16), (24, 24), (32, 32), (48, 48), (64, 64), (128, 128), (255, 255)]``. Any sizes bigger than the original size or 255 will be ignored. IM ^^ IM is a format used by LabEye and other applications based on the IFUNC image processing library. The library reads and writes most uncompressed interchange versions of this format. IM is the only format that can store all internal PIL formats. """, 'IM': u"""No docs for IM.""", 'IMT': u"""*This is a copy from the Pillow docs.* PIL reads Image Tools images containing ``L`` data. """, 'IPTC': u"""No docs for IPTC.""", 'JPEG': u"""*This is a copy from the Pillow docs.* PIL reads JPEG, JFIF, and Adobe JPEG files containing ``L``, ``RGB``, or ``CMYK`` data. It writes standard and progressive JFIF files. Using the :py:meth:`~PIL.Image.Image.draft` method, you can speed things up by converting ``RGB`` images to ``L``, and resize images to 1/2, 1/4 or 1/8 of their original size while loading them. The :py:meth:`~PIL.Image.Image.write` method may set the following :py:attr:`~PIL.Image.Image.info` properties if available: **jfif** JFIF application marker found. If the file is not a JFIF file, this key is not present. **jfif_version** A tuple representing the jfif version, (major version, minor version). **jfif_density** A tuple representing the pixel density of the image, in units specified by jfif_unit. **jfif_unit** Units for the jfif_density: * 0 - No Units * 1 - Pixels per Inch * 2 - Pixels per Centimeter **dpi** A tuple representing the reported pixel density in pixels per inch, if the file is a jfif file and the units are in inches. **adobe** Adobe application marker found. If the file is not an Adobe JPEG file, this key is not present. **adobe_transform** Vendor Specific Tag. **progression** Indicates that this is a progressive JPEG file. **icc_profile** The ICC color profile for the image. **exif** Raw EXIF data from the image. The :py:meth:`~PIL.Image.Image.save` method supports the following options: **quality** The image quality, on a scale from 1 (worst) to 95 (best). The default is 75. Values above 95 should be avoided; 100 disables portions of the JPEG compression algorithm, and results in large files with hardly any gain in image quality. **optimize** If present and true, indicates that the encoder should make an extra pass over the image in order to select optimal encoder settings. **progressive** If present and true, indicates that this image should be stored as a progressive JPEG file. **dpi** A tuple of integers representing the pixel density, ``(x,y)``. **icc_profile** If present and true, the image is stored with the provided ICC profile. If this parameter is not provided, the image will be saved with no profile attached. To preserve the existing profile:: im.save(filename, 'jpeg', icc_profile=im.info.get('icc_profile')) **exif** If present, the image will be stored with the provided raw EXIF data. **subsampling** If present, sets the subsampling for the encoder. * ``keep``: Only valid for JPEG files, will retain the original image setting. * ``4:4:4``, ``4:2:2``, ``4:1:1``: Specific sampling values * ``-1``: equivalent to ``keep`` * ``0``: equivalent to ``4:4:4`` * ``1``: equivalent to ``4:2:2`` * ``2``: equivalent to ``4:1:1`` **qtables** If present, sets the qtables for the encoder. This is listed as an advanced option for wizards in the JPEG documentation. Use with caution. ``qtables`` can be one of several types of values: * a string, naming a preset, e.g. ``keep``, ``web_low``, or ``web_high`` * a list, tuple, or dictionary (with integer keys = range(len(keys))) of lists of 64 integers. There must be between 2 and 4 tables. .. versionadded:: Pillow 2.5.0 .. note:: To enable JPEG support, you need to build and install the IJG JPEG library before building the Python Imaging Library. See the distribution README for details. """, 'JPEG2000': u"""*This is a copy from the Pillow docs.* .. versionadded:: Pillow 2.4.0 PIL reads and writes JPEG 2000 files containing ``L``, ``LA``, ``RGB`` or ``RGBA`` data. It can also read files containing ``YCbCr`` data, which it converts on read into ``RGB`` or ``RGBA`` depending on whether or not there is an alpha channel. PIL supports JPEG 2000 raw codestreams (``.j2k`` files), as well as boxed JPEG 2000 files (``.j2p`` or ``.jpx`` files). PIL does *not* support files whose components have different sampling frequencies. When loading, if you set the ``mode`` on the image prior to the :py:meth:`~PIL.Image.Image.load` method being invoked, you can ask PIL to convert the image to either ``RGB`` or ``RGBA`` rather than choosing for itself. It is also possible to set ``reduce`` to the number of resolutions to discard (each one reduces the size of the resulting image by a factor of 2), and ``layers`` to specify the number of quality layers to load. The :py:meth:`~PIL.Image.Image.save` method supports the following options: **offset** The image offset, as a tuple of integers, e.g. (16, 16) **tile_offset** The tile offset, again as a 2-tuple of integers. **tile_size** The tile size as a 2-tuple. If not specified, or if set to None, the image will be saved without tiling. **quality_mode** Either `"rates"` or `"dB"` depending on the units you want to use to specify image quality. **quality_layers** A sequence of numbers, each of which represents either an approximate size reduction (if quality mode is `"rates"`) or a signal to noise ratio value in decibels. If not specified, defaults to a single layer of full quality. **num_resolutions** The number of different image resolutions to be stored (which corresponds to the number of Discrete Wavelet Transform decompositions plus one). **codeblock_size** The code-block size as a 2-tuple. Minimum size is 4 x 4, maximum is 1024 x 1024, with the additional restriction that no code-block may have more than 4096 coefficients (i.e. the product of the two numbers must be no greater than 4096). **precinct_size** The precinct size as a 2-tuple. Must be a power of two along both axes, and must be greater than the code-block size. **irreversible** If ``True``, use the lossy Irreversible Color Transformation followed by DWT 9-7. Defaults to ``False``, which means to use the Reversible Color Transformation with DWT 5-3. **progression** Controls the progression order; must be one of ``"LRCP"``, ``"RLCP"``, ``"RPCL"``, ``"PCRL"``, ``"CPRL"``. The letters stand for Component, Position, Resolution and Layer respectively and control the order of encoding, the idea being that e.g. an image encoded using LRCP mode can have its quality layers decoded as they arrive at the decoder, while one encoded using RLCP mode will have increasing resolutions decoded as they arrive, and so on. **cinema_mode** Set the encoder to produce output compliant with the digital cinema specifications. The options here are ``"no"`` (the default), ``"cinema2k-24"`` for 24fps 2K, ``"cinema2k-48"`` for 48fps 2K, and ``"cinema4k-24"`` for 24fps 4K. Note that for compliant 2K files, *at least one* of your image dimensions must match 2048 x 1080, while for compliant 4K files, *at least one* of the dimensions must match 4096 x 2160. .. note:: To enable JPEG 2000 support, you need to build and install the OpenJPEG library, version 2.0.0 or higher, before building the Python Imaging Library. Windows users can install the OpenJPEG binaries available on the OpenJPEG website, but must add them to their PATH in order to use PIL (if you fail to do this, you will get errors about not being able to load the ``_imaging`` DLL). """, 'MCIDAS': u"""*This is a copy from the Pillow docs.* PIL identifies and reads 8-bit McIdas area files. """, 'MIC': u"""*This is a copy from the Pillow docs.* PIL identifies and reads Microsoft Image Composer (MIC) files. When opened, the first sprite in the file is loaded. You can use :py:meth:`~file.seek` and :py:meth:`~file.tell` to read other sprites from the file. """, 'MPEG': u"""*This is a copy from the Pillow docs.* PIL identifies MPEG files. """, 'MPO': u"""*This is a copy from the Pillow docs.* Pillow identifies and reads Multi Picture Object (MPO) files, loading the primary image when first opened. The :py:meth:`~file.seek` and :py:meth:`~file.tell` methods may be used to read other pictures from the file. The pictures are zero-indexed and random access is supported. """, 'MSP': u"""*This is a copy from the Pillow docs.* PIL identifies and reads MSP files from Windows 1 and 2. The library writes uncompressed (Windows 1) versions of this format. """, 'PCD': u"""*This is a copy from the Pillow docs.* PIL reads PhotoCD files containing ``RGB`` data. This only reads the 768x512 resolution image from the file. Higher resolutions are encoded in a proprietary encoding. """, 'PCX': u"""*This is a copy from the Pillow docs.* PIL reads and writes PCX files containing ``1``, ``L``, ``P``, or ``RGB`` data. """, 'PIXAR': u"""*This is a copy from the Pillow docs.* PIL provides limited support for PIXAR raster files. The library can identify and read “dumped” RGB files. The format code is ``PIXAR``. """, 'PNG': u"""*This is a copy from the Pillow docs.* PIL identifies, reads, and writes PNG files containing ``1``, ``L``, ``P``, ``RGB``, or ``RGBA`` data. Interlaced files are supported as of v1.1.7. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties, when appropriate: **gamma** Gamma, given as a floating point number. **transparency** For ``P`` images: Either the palette index for full transparent pixels, or a byte string with alpha values for each palette entry. For ``L`` and ``RGB`` images, the color that represents full transparent pixels in this image. This key is omitted if the image is not a transparent palette image. ``Open`` also sets ``Image.text`` to a list of the values of the ``tEXt``, ``zTXt``, and ``iTXt`` chunks of the PNG image. Individual compressed chunks are limited to a decompressed size of ``PngImagePlugin.MAX_TEXT_CHUNK``, by default 1MB, to prevent decompression bombs. Additionally, the total size of all of the text chunks is limited to ``PngImagePlugin.MAX_TEXT_MEMORY``, defaulting to 64MB. The :py:meth:`~PIL.Image.Image.save` method supports the following options: **optimize** If present and true, instructs the PNG writer to make the output file as small as possible. This includes extra processing in order to find optimal encoder settings. **transparency** For ``P``, ``L``, and ``RGB`` images, this option controls what color image to mark as transparent. For ``P`` images, this can be a either the palette index, or a byte string with alpha values for each palette entry. **dpi** A tuple of two numbers corresponding to the desired dpi in each direction. **pnginfo** A :py:class:`PIL.PngImagePlugin.PngInfo` instance containing text tags. **compress_level** ZLIB compression level, a number between 0 and 9: 1 gives best speed, 9 gives best compression, 0 gives no compression at all. Default is 6. When ``optimize`` option is True ``compress_level`` has no effect (it is set to 9 regardless of a value passed). **icc_profile** The ICC Profile to include in the saved file. **bits (experimental)** For ``P`` images, this option controls how many bits to store. If omitted, the PNG writer uses 8 bits (256 colors). **dictionary (experimental)** Set the ZLIB encoder dictionary. .. note:: To enable PNG support, you need to build and install the ZLIB compression library before building the Python Imaging Library. See the installation documentation for details. """, 'PPM': u"""*This is a copy from the Pillow docs.* PIL reads and writes PBM, PGM and PPM files containing ``1``, ``L`` or ``RGB`` data. """, 'PSD': u"""*This is a copy from the Pillow docs.* PIL identifies and reads PSD files written by Adobe Photoshop 2.5 and 3.0. """, 'SGI': u"""*This is a copy from the Pillow docs.* PIL reads uncompressed ``L``, ``RGB``, and ``RGBA`` files. """, 'SPIDER': u"""*This is a copy from the Pillow docs.* PIL reads and writes SPIDER image files of 32-bit floating point data ("F;32F"). PIL also reads SPIDER stack files containing sequences of SPIDER images. The :py:meth:`~file.seek` and :py:meth:`~file.tell` methods are supported, and random access is allowed. The :py:meth:`~PIL.Image.Image.write` method sets the following attributes: **format** Set to ``SPIDER`` **istack** Set to 1 if the file is an image stack, else 0. **nimages** Set to the number of images in the stack. A convenience method, :py:meth:`~PIL.Image.Image.convert2byte`, is provided for converting floating point data to byte data (mode ``L``):: im = Image.open('image001.spi').convert2byte() Writing files in SPIDER format ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The extension of SPIDER files may be any 3 alphanumeric characters. Therefore the output format must be specified explicitly:: im.save('newimage.spi', format='SPIDER') For more information about the SPIDER image processing package, see the `SPIDER homepage`_ at `Wadsworth Center`_. .. _SPIDER homepage: http://spider.wadsworth.org/spider_doc/spider/docs/spider.html .. _Wadsworth Center: http://www.wadsworth.org/ """, 'SUN': u"""No docs for SUN.""", 'TGA': u"""*This is a copy from the Pillow docs.* PIL reads 24- and 32-bit uncompressed and run-length encoded TGA files. """, 'TIFF': u"""*This is a copy from the Pillow docs.* PIL reads and writes TIFF files. It can read both striped and tiled images, pixel and plane interleaved multi-band images, and either uncompressed, or Packbits, LZW, or JPEG compressed images. If you have libtiff and its headers installed, PIL can read and write many more kinds of compressed TIFF files. If not, PIL will always write uncompressed files. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **compression** Compression mode. .. versionadded:: Pillow 2.0.0 **dpi** Image resolution as an ``(xdpi, ydpi)`` tuple, where applicable. You can use the :py:attr:`~PIL.Image.Image.tag` attribute to get more detailed information about the image resolution. .. versionadded:: Pillow 1.1.5 **resolution** Image resolution as an ``(xres, yres)`` tuple, where applicable. This is a measurement in whichever unit is specified by the file. .. versionadded:: Pillow 1.1.5 The :py:attr:`~PIL.Image.Image.tag_v2` attribute contains a dictionary of TIFF metadata. The keys are numerical indexes from :py:attr:`~PIL.TiffTags.TAGS_V2`. Values are strings or numbers for single items, multiple values are returned in a tuple of values. Rational numbers are returned as a :py:class:`~PIL.TiffImagePlugin.IFDRational` object. .. versionadded:: Pillow 3.0.0 For compatibility with legacy code, the :py:attr:`~PIL.Image.Image.tag` attribute contains a dictionary of decoded TIFF fields as returned prior to version 3.0.0. Values are returned as either strings or tuples of numeric values. Rational numbers are returned as a tuple of ``(numerator, denominator)``. .. deprecated:: 3.0.0 Saving Tiff Images ~~~~~~~~~~~~~~~~~~ The :py:meth:`~PIL.Image.Image.save` method can take the following keyword arguments: **save_all** If true, Pillow will save all frames of the image to a multiframe tiff document. .. versionadded:: Pillow 3.4.0 **tiffinfo** A :py:class:`~PIL.TiffImagePlugin.ImageFileDirectory_v2` object or dict object containing tiff tags and values. The TIFF field type is autodetected for Numeric and string values, any other types require using an :py:class:`~PIL.TiffImagePlugin.ImageFileDirectory_v2` object and setting the type in :py:attr:`~PIL.TiffImagePlugin.ImageFileDirectory_v2.tagtype` with the appropriate numerical value from ``TiffTags.TYPES``. .. versionadded:: Pillow 2.3.0 Metadata values that are of the rational type should be passed in using a :py:class:`~PIL.TiffImagePlugin.IFDRational` object. .. versionadded:: Pillow 3.1.0 For compatibility with legacy code, a :py:class:`~PIL.TiffImagePlugin.ImageFileDirectory_v1` object may be passed in this field. However, this is deprecated. .. versionadded:: Pillow 3.0.0 .. note:: Only some tags are currently supported when writing using libtiff. The supported list is found in :py:attr:`~PIL:TiffTags.LIBTIFF_CORE`. **compression** A string containing the desired compression method for the file. (valid only with libtiff installed) Valid compression methods are: ``None``, ``"tiff_ccitt"``, ``"group3"``, ``"group4"``, ``"tiff_jpeg"``, ``"tiff_adobe_deflate"``, ``"tiff_thunderscan"``, ``"tiff_deflate"``, ``"tiff_sgilog"``, ``"tiff_sgilog24"``, ``"tiff_raw_16"`` These arguments to set the tiff header fields are an alternative to using the general tags available through tiffinfo. **description** **software** **date_time** **artist** **copyright** Strings **resolution_unit** A string of "inch", "centimeter" or "cm" **resolution** **x_resolution** **y_resolution** **dpi** Either a Float, 2 tuple of (numerator, denominator) or a :py:class:`~PIL.TiffImagePlugin.IFDRational`. Resolution implies an equal x and y resolution, dpi also implies a unit of inches. """, 'WEBP': u"""*This is a copy from the Pillow docs.* PIL reads and writes WebP files. The specifics of PIL's capabilities with this format are currently undocumented. The :py:meth:`~PIL.Image.Image.save` method supports the following options: **lossless** If present and true, instructs the WEBP writer to use lossless compression. **quality** Integer, 1-100, Defaults to 80. Sets the quality level for lossy compression. **icc_procfile** The ICC Profile to include in the saved file. Only supported if the system webp library was built with webpmux support. **exif** The exif data to include in the saved file. Only supported if the system webp library was built with webpmux support. """, 'WMF': u"""*This is a copy from the Pillow docs.* PIL can identify playable WMF files. In PIL 1.1.4 and earlier, the WMF driver provides some limited rendering support, but not enough to be useful for any real application. In PIL 1.1.5 and later, the WMF driver is a stub driver. To add WMF read or write support to your application, use :py:func:`PIL.WmfImagePlugin.register_handler` to register a WMF handler. :: from PIL import Image from PIL import WmfImagePlugin class WmfHandler: def open(self, im): ... def load(self, im): ... return image def save(self, im, fp, filename): ... wmf_handler = WmfHandler() WmfImagePlugin.register_handler(wmf_handler) im = Image.open("sample.wmf")""", 'XBM': u"""*This is a copy from the Pillow docs.* PIL reads and writes X bitmap files (mode ``1``). """, 'XPM': u"""*This is a copy from the Pillow docs.* PIL reads X pixmap files (mode ``P``) with 256 colors or less. The :py:meth:`~PIL.Image.Image.write` method sets the following :py:attr:`~PIL.Image.Image.info` properties: **transparency** Transparency color index. This key is omitted if the image is not transparent. """, 'XVThumb': u"""No docs for XVThumb.""", }

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