OpenPCDet
A PyTorch-based toolbox for LiDAR-based 3D object detection, supporting multiple state-of-the-art models and datasets.
What is OpenPCDet?
OpenPCDet is an open-source PyTorch toolbox designed for LiDAR-based 3D object detection. It provides a unified implementation of numerous state-of-the-art detection models, enabling researchers and developers to train and evaluate models on major autonomous driving datasets. The project solves the problem of fragmented codebases by offering a single, well-structured framework that supports both one-stage and two-stage detection approaches.
Researchers and engineers working on 3D perception for autonomous vehicles, robotics, and computer vision who need a reliable codebase to experiment with or deploy LiDAR-based detection models.
Developers choose OpenPCDet for its comprehensive model zoo, consistent code quality, and active updates with cutting-edge methods. Its modular design and support for multiple datasets reduce implementation overhead, allowing users to focus on innovation rather than reinfrastructure.
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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