[Enhance] Modify readme (#310)

* Modify README

* modify the mmdetection to mmdetection3d in CONTRIBUTING.md and add model zoo link before demo in getting_started.md

* arxiv->Arxiv

* Add model zoo link

.github/CONTRIBUTING.md

-# Contributing to mmdetection
-
-All kinds of contributions are welcome, including but not limited to the following.
-
-- Fixes (typo, bugs)
-- New features and components
-
-## Workflow
-
-1. fork and pull the latest mmdetection
-2. checkout a new branch (do not use master branch for PRs)
-3. commit your changes
-4. create a PR
-
-Note
-- If you plan to add some new features that involve large changes, it is encouraged to open an issue for discussion first.
-- If you are the author of some papers and would like to include your method to mmdetection,
-please contact Kai Chen (chenkaidev[at]gmail[dot]com) and Wenwei Zhang (zwwdev[at]gmail[dot]com). We will much appreciate your contribution.
-
-## Code style
-
-### Python
-We adopt [PEP8](https://www.python.org/dev/peps/pep-0008/) as the preferred code style.
-
-We use the following tools for linting and formatting:
-- [flake8](http://flake8.pycqa.org/en/latest/): linter
-- [yapf](https://github.com/google/yapf): formatter
-- [isort](https://github.com/timothycrosley/isort): sort imports
-
-Style configurations of yapf and isort can be found in [setup.cfg](../setup.cfg).
-
-We use [pre-commit hook](https://pre-commit.com/) that checks and formats for `flake8`, `yapf`, `isort`, `trailing whitespaces`,
- fixes `end-of-files`, sorts `requirments.txt` automatically on every commit.
-The config for a pre-commit hook is stored in [.pre-commit-config](../.pre-commit-config.yaml).
-
-After you clone the repository, you will need to install initialize pre-commit hook.
-
-```
-pip install -U pre-commit
-```
-
-From the repository folder
-```
-pre-commit install
-```
-
-After this on every commit check code linters and formatter will be enforced.
-
-
->Before you create a PR, make sure that your code lints and is formatted by yapf.
-
-### C++ and CUDA
-We follow the [Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html).
+We appreciate all contributions to improve MMDetection3D. Please refer to [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) in MMCV for more details about the contributing guideline.

README.md

@@ -66,6 +66,25 @@ Please refer to [changelog.md](docs/changelog.md) for details and release histor
 Supported methods and backbones are shown in the below table.
 Results and models are available in the [model zoo](docs/model_zoo.md).
 
+Support backbones:
+
+- [x] PointNet (CVPR'2017)
+- [x] PointNet++ (NeurIPS'2017)
+- [x] RegNet (CVPR'2020)
+
+Support methods
+
+- [x] [SECOND (Sensor'2018)](configs/second/README.md)
+- [x] [PointPillars (CVPR'2019)](configs/pointpillars/README.md)
+- [x] [FreeAnchor (NeurIPS'2019)](configs/free_anchor/README.md)
+- [x] [VoteNet (ICCV'2019)](configs/votenet/README.md)
+- [x] [H3DNet (ECCV'2020)](configs/h3dnet/README.md)
+- [x] [3DSSD (CVPR'2020)](configs/3dssd/README.md)
+- [x] [Part-A2 (TPAMI'2020)](configs/parta2/README.md)
+- [x] [MVXNet (ICRA'2019)](configs/mvxnet/README.md)
+- [x] [CenterPoint (Arxiv'2020)](configs/centerpoint/README.md)
+- [x] [SSN (ECCV'2020)](configs/ssn/README.md)
+
 |                    | ResNet   | ResNeXt  | SENet    |PointNet++ | HRNet | RegNetX | Res2Net |
 |--------------------|:--------:|:--------:|:--------:|:---------:|:-----:|:--------:|:-----:|
 | SECOND             | ☐        | ☐        | ☐        | ✗         | ☐     | ✓        | ☐     |

docs/getting_started.md

@@ -5,7 +5,20 @@
 - PyTorch 1.3+
 - CUDA 9.2+ (If you build PyTorch from source, CUDA 9.0 is also compatible)
 - GCC 5+
-- [mmcv](https://github.com/open-mmlab/mmcv)
+- [MMCV](https://mmcv.readthedocs.io/en/latest/#installation)
+
+
+The required versions of MMCV and MMDetection for different versions of MMDetection3D are as below. Please install the correct version of MMCV and MMDetection to avoid installation issues.
+
+| MMDetection3D version | MMDetection version |    MMCV version     |
+|:-------------------:|:-------------------:|:-------------------:|
+| master              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
+| 0.10.0              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
+| 0.9.0               | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
+| 0.8.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
+| 0.7.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
+| 0.6.0               | mmdet>=2.4.0        | mmcv-full>=1.1.3, <=1.2|
+| 0.5.0               | 2.3.0               | mmcv-full==1.0.5|
 
 # Installation
 
@@ -45,18 +58,34 @@ If you build PyTorch from source instead of installing the prebuilt pacakge,
 you can use more CUDA versions such as 9.0.
 
 **c. Install [MMCV](https://mmcv.readthedocs.io/en/latest/).**
-*mmcv-full* is necessary since MMDetection3D relies on MMDetection, CUDA ops in *mmcv-full* are required. 
+*mmcv-full* is necessary since MMDetection3D relies on MMDetection, CUDA ops in *mmcv-full* are required.
 
 `e.g.` The pre-build *mmcv-full* could be installed by running: (available versions could be found [here](https://mmcv.readthedocs.io/en/latest/#install-with-pip))
 
+ ```shell
+pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/{cu_version}/{torch_version}/index.html
+```
+
+Please replace `{cu_version}` and `{torch_version}` in the url to your desired one. For example, to install the latest `mmcv-full` with `CUDA 11` and `PyTorch 1.7.0`, use the following command:
+
 ```shell
-pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/torch1.5.0/index.html
+pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7.0/index.html
 ```
 
+See [here](https://github.com/open-mmlab/mmcv#install-with-pip) for different versions of MMCV compatible to different PyTorch and CUDA versions.
 Optionally, you could also build the full version from source:
 
 ```shell
-pip install mmcv-full # need a long time
+git clone https://github.com/open-mmlab/mmcv.git
+cd mmcv
+MMCV_WITH_OPS=1 pip install -e .  # package mmcv-full will be installed after this step
+cd ..
+```
+
+Or directly run
+
+```shell
+pip install mmcv-full
 ```
 
 **d. Install [MMDetection](https://github.com/open-mmlab/mmdetection).**
@@ -74,20 +103,6 @@ pip install -r requirements/build.txt
 pip install -v -e .  # or "python setup.py develop"
 ```
 
-**Important**:
-
-1. The required versions of MMCV and MMDetection for different versions of MMDetection3D are as below. Please install the correct version of MMCV and MMDetection to avoid installation issues.
-
-| MMDetection3D version | MMDetection version |    MMCV version     |
-|:-------------------:|:-------------------:|:-------------------:|
-| master              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
-| 0.10.0              | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
-| 0.9.0               | mmdet>=2.5.0        | mmcv-full>=1.2.4, <=1.3|
-| 0.8.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
-| 0.7.0               | mmdet>=2.5.0        | mmcv-full>=1.1.5, <=1.3|
-| 0.6.0               | mmdet>=2.4.0        | mmcv-full>=1.1.3, <=1.2|
-| 0.5.0               | 2.3.0               | mmcv-full==1.0.5|
-
 **e. Clone the MMDetection3D repository.**
 
 ```shell
@@ -177,7 +192,7 @@ PYTHONPATH="$(dirname $0)/..":$PYTHONPATH
 
 ### Point cloud demo
 
-We provide a demo script to test a single sample.
+We provide a demo script to test a single sample. Pre-trained models can be downloaded from [model zoo](model_zoo.md)
 
 ```shell
 python demo/pcd_demo.py ${PCD_FILE} ${CONFIG_FILE} ${CHECKPOINT_FILE} [--device ${GPU_ID}] [--score-thr ${SCORE_THR}] [--out-dir ${OUT_DIR}]