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[Enhance] Doc update related to waymo (#128)
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* Update docs and add hints for waymo

* Change the title of waymo tutorial

* Move waymo into the tutorial part

* Delete original waymo.md

* Update waymo.md

* Update index.rst

* Update get_started in readme.md

* reorganize docs

Co-authored-by: zhangwenwei <[email protected]>
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Tai-Wang and ZwwWayne authored Sep 24, 2020
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -87,7 +87,7 @@ Please refer to [install.md](docs/install.md) for installation and dataset prepa

## Get Started

Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection. There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), and [adding new modules](docs/tutorials/new_modules.md).
Please see [getting_started.md](docs/getting_started.md) for the basic usage of MMDetection3D. There are also tutorials for [finetuning models](docs/tutorials/finetune.md), [adding new dataset](docs/tutorials/new_dataset.md), [designing data pipeline](docs/tutorials/data_pipeline.md), [adding new modules](docs/tutorials/new_modules.md), and [waymo dataset](docs/tutorials/waymo.md).

## Contributing

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19 changes: 15 additions & 4 deletions docs/index.rst
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Expand Up @@ -7,12 +7,23 @@ Welcome to MMDetection3D's documentation!
install.md
getting_started.md
model_zoo.md

.. toctree::
:maxdepth: 2
:caption: Notes

benchmarks.md
config.md
tutorials/finetune.md
tutorials/new_dataset.md
tutorials/data_pipeline.md
tutorials/new_modules.md

.. toctree::
:maxdepth: 2
:caption: Tutorials

tutorials/index.rst

.. toctree::
:caption: API Reference

api.rst


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8 changes: 4 additions & 4 deletions docs/model_zoo.md
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Expand Up @@ -14,15 +14,15 @@ Please refer to [SECOND](https://github.com/open-mmlab/mmdetection3d/blob/master

### PointPillars

Please refer to [PointPillars](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/pointpillars) for details.
Please refer to [PointPillars](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/pointpillars) for details. We provide pointpillars baselines on KITTI, nuScenes, Lyft, and Waymo datasets.

### Part-A2

Please refer to [Part-A2](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/parta2) for details.

### VoteNet

Please refer to [VoteNet](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/votenet) for details.
Please refer to [VoteNet](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/votenet) for details. We provide VoteNet baselines on ScanNet and SUNRGBD datasets.

### Dynamic Voxelization

Expand All @@ -33,10 +33,10 @@ Please refer to [Dynamic Voxelization](https://github.com/open-mmlab/mmdetection
Please refer to [MVXNet](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/mvxnet) for details.

### RegNetX
Please refer to [RegNet](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/regnet) for details.
Please refer to [RegNet](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/regnet) for details. We provide pointpillars baselines with RegNetX backbones on nuScenes and Lyft datasets currently.

### nuImages
We also support baseline models on [nuImages dataset](https://www.nuscenes.org/nuimages). Please refer to [nuImages](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/nuimages) for details.
We also support baseline models on [nuImages dataset](https://www.nuscenes.org/nuimages). Please refer to [nuImages](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/nuimages) for details. We report Mask R-CNN and Cascade Mask R-CNN results currently.

### H3DNet

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8 changes: 8 additions & 0 deletions docs/tutorials/index.rst
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.. toctree::
:maxdepth: 2

finetune.md
new_dataset.md
data_pipeline.md
new_modules.md
waymo.md
4 changes: 2 additions & 2 deletions docs/waymo.md → docs/tutorials/waymo.md
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# A Brief Tutorial for Waymo Dataset
# Tutorial 5: Waymo Dataset

This page provides specific tutorials about the usage of MMDetection3D for waymo dataset.

Expand Down Expand Up @@ -116,7 +116,7 @@ Then you can evaluate your models on waymo. An example to evaluate PointPillars

**Notice**:

1. Sometimes when using bazel to build `compute_detection_metrics_main`, an error `'round' is not a member of 'std'` may appear. We just need to remove the `std::` before `round` in that file.
1. Sometimes when using bazel to build `compute_detection_metrics_main`, an error `'round' is not a member of 'std'` may appear. We just need to remove the `std::` before `round` in that file.

2. Considering it takes a little long time to evaluate once, we recommend to evaluate only once at the end of model training.

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