PCDet
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
What is PCDet?
OpenPCDet is an open-source PyTorch toolbox for LiDAR-based 3D object detection. It provides a unified codebase for implementing and evaluating state-of-the-art 3D detection models, addressing the need for a standardized framework in autonomous driving and robotics research. The project supports multiple datasets and models, enabling researchers to experiment with various architectures efficiently.
Researchers and engineers working on autonomous vehicles, robotics, and computer vision who need a flexible and comprehensive toolkit for 3D object detection from point clouds.
Developers choose OpenPCDet for its extensive model zoo, clear design pattern, and active community support. It offers a self-contained, well-documented codebase that simplifies the implementation of complex 3D detection algorithms and accelerates experimental workflows.
Overview
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Use Cases
Best For
- Implementing and comparing state-of-the-art LiDAR-based 3D object detection models
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