Comments (3)
Thanks for identifying these issues. I'll fix/respond by the end of this week.
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Both errors should be fixed in the latest commit.
Please test using:
torchpack dist-run -np 1 python training/train.py --train_pipeline 'PointNetVLAD' --point_loss_weight 0 --dataset 'KittiTupleDataset' --pnv_preprocessing 'True'
Make sure to use the --pnv_preprocessing 'True'
parameter for PointNetVLAD.
*This commit also includes some minor changes to support PyTorch 2.0, this should not affect you.
Hope this helps.
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Thanks you for your help. The training seems to run correctly !
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Related Issues (9)
- Sensor Requirement HOT 2
- How to launch code with PointNetVlad model? HOT 2
- error when batch size larger than one HOT 9
- Issues with training KITTI datset HOT 7
- Train on a custom dataset HOT 2
- Channel value error when applying the checkpoint model to a custom point cloud HOT 2
- about visualization of t-SNE embeddings of the local features HOT 6
- Question about the construction of the is_revisit_D-3_T-30.json file? HOT 1
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