mmdetection3d
An open-source PyTorch toolbox for general 3D object detection, supporting LiDAR, camera, and multi-modal models.
What is mmdetection3d?
MMDetection3D is an open-source toolbox for general 3D object detection, built on PyTorch as part of the OpenMMLab project. It provides a unified platform for training, evaluating, and deploying state-of-the-art 3D detection models that work with LiDAR, camera, or multi-modal data. The toolbox solves the problem of fragmented implementations by offering a comprehensive, efficient codebase that supports a wide range of datasets and model architectures for applications like autonomous driving and robotics.
Researchers and engineers working on 3D perception, particularly in fields like autonomous vehicles, robotics, and augmented reality, who need a flexible and efficient framework for developing and benchmarking detection models. It is also suitable for academic institutions and industry teams leveraging OpenMMLab's ecosystem for computer vision projects.
Developers choose MMDetection3D for its extensive model zoo, high training efficiency, and seamless integration with 2D detection tools from the OpenMMLab suite. Its modular design and support for multiple sensors and datasets make it a versatile, production-ready platform that accelerates research and deployment compared to building custom solutions or using less comprehensive alternatives.
Overview
OpenMMLab's next-generation platform for general 3D object detection.
Use Cases
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