Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch
This is an unofficial implementation of Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch. A large part of this project is based on the work here:https://github.com/marvis/pytorch-yolo2
Point Cloud Preprocessing is based on:https://github.com/skyhehe123/VoxelNet-pytorch https://github.com/dongwoohhh/MV3D-Pytorch
Download the 3D KITTI detection dataset.
Camera calibration matrices of object data set (16 MB)
Training labels of object data set (5 MB)
Velodyne point clouds (29 GB)
python3 main.py
trained model(using DarkNet) download link :https://pan.baidu.com/s/1yeU3Q-Oyozv7qFqrVhzj0A
