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,).
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The number of voxels in Centerpoint and CUDA-CenterPoint did not match. #263
when I inference the same Bin file, The number of voxels not equal!
while I use Centerpoint , I got 87081 voxels after voxel_generator, and 111576 voxels in CUDA-Centerpoint after voxelization.
And it is puzzling that there is not much difference in their final results.
Can you explain that? I'm very confused!
Thank you so much !
when I inference the same Bin file, The number of voxels not equal! while I use Centerpoint , I got 87081 voxels after voxel_generator, and 111576 voxels in CUDA-Centerpoint after voxelization. And it is puzzling that there is not much difference in their final results. Can you explain that? I'm very confused! Thank you so much !