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add mmdetection3d
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Hub-Tian committed Aug 9, 2020
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## Code list

- [mmdetection3d](https://github.com/open-mmlab/mmdetection3d) in **pytorch**

Methods supported: **SECOND, PointPillars, FreeAnchor, VoteNet, Part-A2, MVXNet**

Benchmark supported: **KITTI**, **nuScenes**, **Lyft**, **ScanNet**, **SUNRGBD**

- [Det3d](https://github.com/poodarchu/det3d): A general 3D Object Detection codebase in **PyTorch**.

Methods supported : **PointPillars**, **SECOND**, **PIXOR**.
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Methods supported : **PointPillars**, **SECOND**.

Benchmark supported: **KITTI**, **nuScenes**.

- [OpenPCDet](https://github.com/open-mmlab/OpenPCDet): An open source project for LiDAR-based 3D scene perception in **Pytorch**.

Methods supported : **PointPillars**, **SECOND**, **Part A^2**, **PV-RCNN**, PointRCNN(ongoing).

Benchmark supported: **KITTI**, Waymo (ongoing).

- [CenterPoint](https://github.com/tianweiy/CenterPoint): "*Center-based 3D Object Detection and Tracking*" in **Pytorch**.

Methods supported : **CenterPoint-Pillar**, **Center-Voxel**.
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- [SA-SSD](https://github.com/skyhehe123/SA-SSD): "SA-SSD: *Structure Aware Single-stage 3D Object Detection from Point Cloud*" in **pytorch**

Methods supported : **SA-SSD**.

Benchmark supported: **KITTI**.

- [3DSSD](https://github.com/Jia-Research-Lab/3DSSD): "*Point-based 3D Single Stage Object Detector* " in **Tensorflow**.

Methods supported : **3DSSD**, **PointRCNN**, STD (ongoing).
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Methods supported : **TANet** (PointPillars, Second).

Benchmark supported: **KITTI**.

- [Complex-YOLOv4-pytorch](https://github.com/maudzung/Complex-YOLOv4-Pytorch): " Complex-YOLO: Real-time 3D Object Detection on Point Clouds)" in **pytorch**.

Methods supported : **YOLO**
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