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OpenDAS
MMCV
Commits
d2358c87
Commit
d2358c87
authored
Oct 12, 2018
by
Kai Chen
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update the documentation for release
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README.md
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# mmcv
Open MMLab Computer Vision Foundation
docs/intro.md
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README.rst
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## Introduction
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
`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
)
.
research projects in MMLAB, such as
`
mmdetection
<
https://github.com/open-mmlab/mmdetection
>`_
.
It provides the following functionalities.
It provides the following functionalities.
...
@@ -13,21 +27,23 @@ It provides the following functionalities.
...
@@ -13,21 +27,23 @@ It provides the following functionalities.
- PyTorch runner with hooking machanism
- PyTorch runner with hooking machanism
- Various CNN architectures
- Various CNN architectures
See the
[
documentation
](
http://mmcv.readthedocs.io/en/latest
)
for more features and usage.
See the
`
documentation
<
http://mmcv.readthedocs.io/en/latest
>`_
for more features and usage.
### Installation
Installation
------------
Try and start with
Try and start with
```
shell
.. code::
pip
install
mmcv
```
pip install mmcv
or install from source
If you want to install from source
.. code::
```
shell
git clone https://github.com/open-mmlab/mmcv.git
git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
cd
mmcv
pip install . # (add "-e" if you want to develop or modify the codes)
pip
install
.
# (add "-e" if you want to develop or modify the codes)
```
docs/cnn.md
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## CNN
The subpackage
`mmcv.cnn`
ships with lots of CNN backbones and the number is growing.
Different from models provided in
`torchvision`
, these models are designed
for actual usage in different cases, with highly customizable interfaces.
Taking ResNet as an example, you can specify the following things:
-
number of stages
-
stage of output feature maps
-
location of the stride 2 convolutional layer
-
strides and dilation of each stage
-
whether to freeze some first stages
-
whether to fix BN stats
-
whether to fix BN parameters
-
whether to use checkpoint to save memory
docs/index.rst
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Welcome to mmcv's documentation!
.. include:: ../README.rst
==================================
Contents
========
.. toctree::
.. toctree::
:maxdepth: 2
:maxdepth: 2
intro.md
io.md
io.md
image.md
image.md
video.md
video.md
visualization.md
visualization.md
utils.md
utils.md
runner.md
runner.md
cnn.md
api.rst
api.rst
...
...
docs/runner.md
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The runner module aims to help users to start training with less code, while stays
The runner module aims to help users to start training with less code, while stays
flexible and configurable.
flexible and configurable.
Documentation and examples are still on going.
\ No newline at end of file
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