Website: http://imageio.github.io
The imageio library aims to support reading and writing a wide range of image data, including animated images, volumetric data, and scientific formats. It is written in pure Python (2.x and 3.x) and is designed to be powerful, yet simple in usage and installation.
Imageio has a relatively simple core that provides a common interface to different file formats. The actual file formats are implemented in plugins, which makes imageio easy to extend.
Here's a minimal example of how to use imageio. See the docs for more examples.>>> import imageio
>>> im = imageio.imread('chelsea.png')
>>> im.shape # im is a numpy array
(300, 451, 3)
>>> imageio.imsave('chelsea-gray.jpg', im[:, :, 0])
As a user, you just have to remember a handfull of functions:
- imread() and imsave() - for single images
- mimread() and mimsave() - for image series (animations)
- volread() and volsave() - for volumetric image data
- read() and save() - for more control (e.g. streaming)
- See the user api for more information
- 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.x, 3.x, and Pypy
- Lots of supported formats.
- Can also read from zipfiles, http/ftp, and raw bytes.
- Easy to extend using plugins.
- Loads of unit tests with continuous integration.