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* checkout qq group qrcode * update the cover image * update build doc * reorganize chapters * update readme * remove index of build on different platforms in readthedocs * update benchmark * update get started document in Chinese based on the prebuild package * update get_started * re-style benchmark * update get_started in zh_cn * update get_started in english * update get_started in english * update get_started in english * update get_started doc * update according to reviewer comments * update linker ci * fix(.github/scripts/check_doc_linker.py): skip code block * specify PYTHONPATH * update get_started * update diagram * rename some documents * fix according to reviewer comments Co-authored-by: tpoisonooo <khj.application@aliyun.com>
40 lines
1.7 KiB
Markdown
40 lines
1.7 KiB
Markdown
# MMDetection3d Support
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MMDetection3d is a next-generation platform for general 3D object detection. It is a part of the [OpenMMLab](https://openmmlab.com/) project.
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## MMDetection3d installation tutorial
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Please refer to [getting_started.md](https://github.com/open-mmlab/mmdetection3d/blob/master/docs/en/getting_started.md) for installation.
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## Example
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```bash
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python tools/deploy.py \
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configs/mmdet3d/voxel-detection/voxel-detection_tensorrt_dynamic.py \
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${MMDET3D_DIR}/configs/pointpillars/hv_pointpillars_secfpn_6x8_160e_kitti-3d-3class.py \
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checkpoints/point_pillars.pth \
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${MMDET3D_DIR}/demo/data/kitti/kitti_000008.bin \
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--work-dir \
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work_dir \
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--show \
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--device \
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cuda:0
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```
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## List of MMDetection3d models supported by MMDeploy
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| Model | Task | OnnxRuntime | TensorRT | ncnn | PPLNN | OpenVINO | Model config |
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| :----------------: | :------------------: | :---------: | :------: | :---: | :---: | :------: | :------------------------------------------------------------------------------------------------------: |
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| PointPillars | VoxelDetection | Y | Y | N | N | Y | [config](https://github.com/open-mmlab/mmdetection3d/blob/master/configs/pointpillars) |
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## Reminder
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Voxel detection onnx model excludes model.voxelize layer and model post process, and you can use python api to call these func.
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Example:
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```python
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from mmdeploy.codebase.mmdet3d.deploy import VoxelDetectionModel
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VoxelDetectionModel.voxelize(...)
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VoxelDetectionModel.post_process(...)
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```
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