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This repo is a LiDAR-based 3D object detection code base. It provides some basic operations and methods for 3D object detection.

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det3

This repo is a LiDAR-based 3D object detection code base. It provides some basic operations and methods for 3D object detection. The architecture of the det3 project is as follows:

drawing

Requirements

  • python 3.7.3
  • CUDA 10.1+
  • PyTorch 1.4.0+
  • Open3D 0.9

Dockerfile

cd dockerfiles
docker build . -t <dockerimage-tag>/det3:v0.1
docker run -it --name det3 --gpus all <dockerimage-tag>/det3:v0.1

Usage

You can call the functions of det3 as a package. It provides basic functions in det3.dataloader, det3.ops, and det3.visualizer with detailed documentation inline. The inline documentation of each function explains itself.

The det3 also provides a use case of SECONDNet in det3/methods/second. You can refer to this implementation for its usage.

We will also provide more detailed tutorials in the future.

Acknowledgement

Thanks for the contribution of predecessors in this field. If you find any inappropriate references in this code base, please feel free to contact us (pyun@ust.hk).

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This repo is a LiDAR-based 3D object detection code base. It provides some basic operations and methods for 3D object detection.

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