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A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

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PointPillars Inference with TensorRT

Open In Colab

Prerequisites

To build the pointpillars inference, TensorRT with PillarScatter layer and CUDA are needed. PillarScatter layer plugin is already implemented as a plugin for TRT in the demo.

Environments

  • Nvidia Jetson Xavier/Orin + Jetpack 5.0
  • CUDA 11.4 + cuDNN 8.3.2 + TensorRT 8.4.0

Compile && Run

!python visualize_point_cloud.py --bin_file /path/to/your/point_cloud.bin --pred_file /path/to/your/prediction.txt

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A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

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  • Jupyter Notebook 77.0%
  • C++ 15.9%
  • Python 5.1%
  • Cuda 1.7%
  • Other 0.3%