Metadata-Version: 2.1 Name: imageio Version: 2.9.0 Summary: Library for reading and writing a wide range of image, video, scientific, and volumetric data formats. Home-page: https://github.com/imageio/imageio Author: imageio contributors Author-email: almar.klein@gmail.com License: BSD-2-Clause Download-URL: http://pypi.python.org/pypi/imageio 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 :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: 3.8 Provides: imageio Requires-Python: >=3.5 Requires-Dist: numpy Requires-Dist: pillow Provides-Extra: ffmpeg Requires-Dist: imageio-ffmpeg ; extra == 'ffmpeg' Provides-Extra: fits Requires-Dist: astropy ; extra == 'fits' Provides-Extra: full Requires-Dist: astropy ; extra == 'full' Requires-Dist: gdal ; extra == 'full' Requires-Dist: imageio-ffmpeg ; extra == 'full' Requires-Dist: itk ; extra == 'full' Provides-Extra: gdal Requires-Dist: gdal ; extra == 'gdal' Provides-Extra: itk Requires-Dist: itk ; extra == 'itk' .. 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 3.5+, and is easy to install. Main website: https://imageio.github.io Release notes: hhttps://github.com/imageio/imageio/blob/master/CHANGELOG.md Example: .. code-block:: python >>> import imageio >>> im = imageio.imread('imageio:astronaut.png') >>> im.shape # im is a numpy array (512, 512, 3) >>> imageio.imwrite('astronaut-gray.jpg', im[:, :, 0]) See the `user API `_ or `examples `_ for more information.