fix docs (#440)

README.md

@@ -7,7 +7,7 @@
 ## Introduction
 
 MMCV is a foundational python library for computer vision research and supports many
-research projects in MMLAB as below:
+research projects as below:
 
 - [MMDetection](https://github.com/open-mmlab/mmdetection): Detection toolbox and benchmark
 - [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): General 3D object detection toolbox and benchmark
@@ -38,6 +38,8 @@ There are two versions of MMCV:
 - **mmcv**: lite, without CUDA ops but all other features, similar to mmcv<1.0.0. It is useful when you do not need those CUDA ops.
 - **mmcv-full**: comprehensive, with full features and various CUDA ops out of box. It takes longer time to build.
 
+**Note**: Do not install both versions in the same environment, otherwise you may encounter errors like `ModuleNotFound`. You need to uninstall one before installing the other.
+
 ### Install with pip
 
 a. Install the lite version.
@@ -48,7 +50,9 @@ pip install mmcv
 
 b. Install the full version.
 
-We provide the pre-built mmcv package with different PyTorch and CUDA versions to simplify the building.
+Before installing mmcv-full, make sure that PyTorch has been successfully installed following the [official guide](https://pytorch.org/).
+
+We provide pre-built mmcv packages (recommended) with different PyTorch and CUDA versions to simplify the building.
 
 <table class="docutils"><tbody><tr><th width="80"> CUDA </th><th valign="bottom" align="left" width="100">torch 1.5</th><th valign="bottom" align="left" width="100">torch 1.4</th><th valign="bottom" align="left" width="100">torch 1.3</th></tr>
 <tr><td align="left">10.2</td><td align="left"><details><summary> install </summary><pre><code>pip install mmcv-full==latest+torch1.5.0+cu102 -f https://openmmlab.oss-accelerate.aliyuncs.com/mmcv/dist/index.html

docs/cnn.md

@@ -12,6 +12,7 @@ which can be written in configs or specified via command line arguments.
 #### Usage
 
 A simplest example is
+
 ```python
 cfg = dict(type='Conv3d')
 layer = build_norm_layer(cfg, in_channels=3, out_channels=8, kernel_size=3)
@@ -117,7 +118,7 @@ An example json file could be like:
 }
 ```
 
-The default links of the pre-trained models hosted on Open-MMLab AWS could be found [here](../mmcv/model_zoo/open_mmlab.json).
+The default links of the pre-trained models hosted on OpenMMLab AWS could be found [here](https://github.com/open-mmlab/mmcv/blob/master/mmcv/model_zoo/open_mmlab.json).
 
 You may override default links by putting `open-mmlab.json` under `MMCV_HOME`. If `MMCV_HOME` is not find in the environment, `~/.cache/mmcv` will be used by default. You may `export MMCV_HOME=/your/path` to use your own path.
 

setup.py

@@ -210,7 +210,7 @@ setup(
     ],
     url='https://github.com/open-mmlab/mmcv',
     author='MMCV Authors',
-    author_email='chenkaidev@gmail.com',
+    author_email='openmmlab@gmail.com',
     setup_requires=['pytest-runner'],
     tests_require=['pytest'],
     install_requires=install_requires,