Comments (2)
sshaoshuai
commented on August 19, 2024
I don't know which layer it is, and how about the shape of the input tensor to this layer?
Also, the given model use (Nx4) as the input with xyz+ one intensity. You should make sure your input is correct.
The intensity and point density of KITTI and NuScenes may be different so you could not directly achieve a well results on the NuScene dataset with the given KITTI model.
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sharma-n
commented on August 19, 2024
Hey, thanks for the hint. Yes, you were right, I was inferring on 1 point cloud at a time, and the coordinates (and points) were missing the extra dimension added to keep track of different point clouds when batch processing.
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Related Issues (20)
- when use train kitti train pillarnet.yaml. KeyError:'finalbox_dicts' HOT 2
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