3. 若进行过,执行变换lidar augmenation. 值得注意的是,PEU版本的BEVFusion并未进行任何augmentation,且nuscenes的数据准备在'lidar2img'中已经将intrinsics融进去,所以在这里直接使用即可,而MIT版本的则设计了可能有图像或点云augmentation的处理,可以看到,其将image的aug作为lss原本的使用方法pos_rot和pos_trans传入,并...
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,). - NVIDIA-AI-IOT/Lidar_AI_Solution
CUDA-BEVFusion CUDA-CenterPoint CUDA-PointPillars @ 092affc assets dependencies libraries .gitignore .gitmodules CLA.md LICENSE.md README.md README License Lidar AI Solution Pipeline overview GetStart $ git clone --recursive https://github.com/NVIDIA-AI-IOT/Lidar_AI_Solution $ cd Lidar_AI_So...