MMDetection3D 是一个基于 PyTorch 的目标检测开源工具箱, 下一代面向3D检测的平台. 它是 OpenMMlab 项目的一部分,这个项目由香港中文大学多媒体实验室和商汤科技联合发起.
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
翻译 - 基于YOLOv4的PyTorch实现:“ Complex-YOLO:点云上的实时3D对象检测”
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
翻译 - 基于3D LiDAR点云的超快速,准确的3D对象检测(PyTorch实现)
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection