Comments (1)
Hi, I downloaded the result file of sdn_kitti_train_set and try to visualize it with cloudcompare, but it's report an error that there are too much points, could you tell me how to visualize the cloud point? Thank you very much!
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Related Issues (20)
- parameters of gdc/sparsify.py
- The question about GDC process
- Why is the cost volume warped? HOT 1
- kitti datasets
- checkpoint.pth.tar
- Is the point cloud you uploaded processed by GDC? HOT 4
- Can PS/PS++ handle any input image pair resolution like 1280×720?
- tensorflow lite
- Generated point clouds are shifted ! HOT 1
- Read the calib file
- GPU support for GDC
- How to generate depth map without LiDAR supervision in your code?
- Questions about the baseline
- Why set the self.down to 2 in the SDNet?
- Questions about pre-trained models HOT 2
- How to generate point clouds like the one in the paper HOT 4
- Must be sparse before gdc? HOT 1
- Apply custom depth map dataset HOT 1
- Nuscenes dataset application
- some confusion about paper
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