MMCV
.. image:: https://travis-ci.com/open-mmlab/mmcv.svg?branch=master
:target: https://travis-ci.com/open-mmlab/mmcv
.. image:: https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg
:target: https://codecov.io/gh/open-mmlab/mmcv
.. image:: https://img.shields.io/github/license/open-mmlab/mmcv.svg
:target: https://github.com/open-mmlab/mmcv/blob/master/LICENSE
Introduction
MMCV is a foundational python library for computer vision research and supports many
research projects in MMLAB, such as MMDetection <https://github.com/open-mmlab/mmdetection>_
and MMAction <https://github.com/open-mmlab/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 <http://mmcv.readthedocs.io/en/latest>_ for more features and usage.
Note: MMCV currently supports both Python 2.7 and 3.5+, but we plan to remove the support for Python 2. Please migrate to Python 3 as soon as possible.
Installation
Try and start with
.. code::
pip install mmcv
or install from source
.. code::
git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
pip install -e .
Note: If you would like to use :code:opencv-python-headless instead of :code: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 :code:opencv-python.
