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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if the input size of the spconv onnx should be dynamic ? #220
hi,
in this project the onnx file generated from spconv has a static input size of 51, while the generated trt engine from the onnx file shoud have an input size of voxelNumber5 which is dynamic , is there any conversion for this in the "Inference function for sparse convolution" in libspconv ?
hi, in this project the onnx file generated from spconv has a static input size of 51, while the generated trt engine from the onnx file shoud have an input size of voxelNumber5 which is dynamic , is there any conversion for this in the "Inference function for sparse convolution" in libspconv ?