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Pointnet2_PyTorch reviews and mentions
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[D] Implementing custom functions in pytorch e.g. feature propagation (PointNet++)
Apologies if this isn't the right place to ask. But I'm currently studying point cloud-based networks like pointcloud++, and all the related 3d object detection networks like pointpillars, voxelnet, etc. While I (think) understand the algorithms like feature propagation in pointnet++. I'm having trouble understanding how would one implement them. Or Where could I learn about writing operations in cuda and making sure they are compatible with backprop?
Stats
erikwijmans/Pointnet2_PyTorch is an open source project licensed under The Unlicense which is not an OSI approved license.
The primary programming language of Pointnet2_PyTorch is Python.
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