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* let progress goes to stderr Signed-off-by: lizz <lizz@sensetime.com> * Add argument file=sys.stdout Signed-off-by: lizz <lizz@sensetime.com> * For the sake of the stupid pytest Signed-off-by: lizz <lizz@sensetime.com> * line width < 120 is anti-humane Signed-off-by: lizz <lizz@sensetime.com> * flake8 Signed-off-by: lizz <lizz@sensetime.com> * Lets try Signed-off-by: lizz <lizz@sensetime.com>
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.
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 .