This release is a pre-release and may not be stable for production use.
Introduction
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/Video processing
Image and annotation visualization
Useful utilities (progress bar, timer, …)
PyTorch runner with hooking mechanism
Various CNN architectures
High-quality implementation of common CUDA ops
See the documentation for more features and usage.
Note: MMCV requires Python 3.6+.
Installation
Try and start with
pip install mmcvor 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.
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