IMAGEIO

Website: https://imageio.readthedocs.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 3.5+, and is easy to install.

Professional support is available via Tidelift and xs:code.

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 handful 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 or compression)
• See the API docs for more information

Features

• Simple interface via a concise set of functions
• Easy to install using Conda or pip
• Few dependencies (only NumPy and Pillow)
• Pure Python, runs on Python 3.5+, and PyPy
• Cross platform, runs on Windows, Linux, macOS
• 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

Dependencies

Minimal requirements:

• Python 3.5+
• NumPy
• Pillow

Optional Python packages:

• imageio-ffmpeg (for working with video files)
• itk or SimpleITK (for ITK formats)
• astropy (for FITS plugin)
• osgeo (for GDAL plugin)
• imageio-flif (for working with FLIF image files)

Still on an earlier version of Python? Imageio version 2.6.x supports Python 2.7 and 3.4.

Citing imageio

If you use imageio for scientific work, we would appreciate a citation. We have a DOI!

Security contact information

To report a security vulnerability, please use the Tidelift security contact. Tidelift will coordinate the fix and disclosure.

imageio for enterprise

Available as part of the Tidelift Subscription.

The maintainers of imageio and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Learn more.

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.

Imageio provides a wide range of image formats, including scientific formats. Any help with 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).

Contributing

Install imageio in edit mode, with dev tools:

pip install -e .[dev,docs]

Most developer command are done via invoke.

# Check all available commands
invoke -l
# Reformat code (using Black)
invoke format
# Check for style errors
invoke lint
# Run unit tests
invoke test --unit
# Check test coverage (re-runs tests)
invoke test --cover