Update votenet config README (#184)

* Update votenet config README

	modified:   configs/votenet/README.md

* updated .pre-commit-config.yaml and beautified style\

* deleted unused files

* update votenet config doc

* rephrase doc and remove markdownlint
Co-authored-by: ZwwWayne <wayne.zw@outlook.com>

configs/votenet/README.md

 # Deep Hough Voting for 3D Object Detection in Point Clouds
 
 ## Introduction
+
 We implement VoteNet and provide the result and checkpoints on ScanNet and SUNRGBD datasets.
+
 ```
 @inproceedings{qi2019deep,
     author = {Qi, Charles R and Litany, Or and He, Kaiming and Guibas, Leonidas J},
@@ -14,11 +16,25 @@ We implement VoteNet and provide the result and checkpoints on ScanNet and SUNRG
 ## Results
 
 ### ScanNet
+
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | AP@0.25 |AP@0.5| Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |    [PointNet++](./votenet_8x8_scannet-3d-18class.py)     |  3x    |4.1||62.90|39.91|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20200620_230238-2cea9c3a.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_8x8_scannet-3d-18class/votenet_8x8_scannet-3d-18class_20200620_230238.log.json)|
 
 ### SUNRGBD
+
 |  Backbone   | Lr schd | Mem (GB) | Inf time (fps) | AP@0.25 |AP@0.5| Download |
 | :---------: | :-----: | :------: | :------------: | :----: |:----: | :------: |
 |    [PointNet++](./votenet_16x8_sunrgbd-3d-10class.py)     |  3x    |8.1||59.07|35.77|[model](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20200620_230238-4483c0c0.pth) | [log](https://download.openmmlab.com/mmdetection3d/v0.1.0_models/votenet/votenet_16x8_sunrgbd-3d-10class/votenet_16x8_sunrgbd-3d-10class_20200620_230238.log.json)|
+
+**Notice**: If your current mmdetection3d version >= 0.6.0, and you are using the checkpoints downloaded from the above links or using checkpoints trained with mmdetection3d version < 0.6.0, the checkpoints have to be first converted via [tools/convert_votenet_checkpoints.py](../../tools/convert_votenet_checkpoints.py):
+
+```
+python ./tools/convert_votenet_checkpoints.py ${ORIGINAL_CHECKPOINT_PATH} --out=${NEW_CHECKPOINT_PATH}
+```
+
+Then you can use the converted checkpoints following [getting_started.md](../../docs/getting_started.md).
+
+## Indeterminism
+
+Since test data preparation randomly downsamples the points, and the test script uses fixed random seeds while the random seeds of validation in training are not fixed, the test results may be slightly different from the results reported above.