MMCV is a foundational python library for computer vision research and supports many research projects in MMLAB, such as MMDetection and MMAction.

It provides the following functionalities.

• Universal IO APIs
• Image processing
• Video processing
• Image and annotation visualization
• Useful utilities (progress bar, timer, ...)
• PyTorch runner with hooking mechanism
• Various CNN architectures

See the documentation for more features and usage.

Note: MMCV requires Python 3.5+.

Try and start with

pip install mmcv

or install from source

git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
pip install -e .

Note: If you would like to use opencv-python-headless instead of opencv-python, e.g., in a minimum container environment or servers without GUI, you can first install it before installing MMCV to skip the installation of opencv-python.