Comments (2)
LinShan-Bin
commented on July 21, 2024
- The ‘train.txt’ and ‘val.txt’ are from SurroundDepth and only contain frames that have ‘prev’ and ‘next’ info. For mini dataset, you should use nuscenes_devkit to remove invalid frames by yourself.
- For ground truths, no preprocessed data is available for the mini dataset so you should also generate it by yourself.
- You don’t need to change the checkpoints for pretrained models.
- If you want to debug with the mini dataset, just make a dummy one to match the input format.
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Terencedu
commented on July 21, 2024
Thank you for your reply! I would have a try.
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Related Issues (8)
- Where is GroundedSAM preprocess code. HOT 4
- How to visualize the occupancy prediction HOT 3
- Can this method obtain absolute depth? HOT 1
- Some problems of nusc-depth training code HOT 2
- How long does it typically take to train the OccNeRF model with semantic supervision? HOT 2
- Question about photometric loss. HOT 2
- Generalizability HOT 1
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