Comments (1)
- yes, 1 represents the voxel that the camera can observe at the current frame. For the specific frame, you could visualize the image and corresponding occupancy here so that we could do the sanity check, the number seems reasonable to me.
- yes mask_camera can be used for loss.
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Related Issues (20)
- BEVDet baseline with 42 mIOU HOT 3
- Is there any inference code for visualize predicted result? HOT 1
- When does the challenge start? HOT 1
- What coordinate system is the occ gts in? HOT 1
- About the usage specification of mask camera HOT 2
- Can baseline code support fp16? HOT 3
- Regarding the rule HOT 2
- When will you release test dataset HOT 3
- Bug in nuscenes_dataset.py HOT 5
- The frame number of test split is 6008? HOT 1
- visualization error HOT 1
- Can the validation set be used for training? HOT 1
- i can't test using baseline HOT 1
- solved
- Question about LiDAR accumulation range
- Discussion of the 1st-ranked solution
- About test dataset evaluation in the future HOT 2
- Hope for some detail about GTS
- Camera visibility mask HOT 1
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from cvpr2023-3d-occupancy-prediction.