Comments (2)
ywyue
commented on May 28, 2024
Thank you for your interest in our work. Based on the currently provided information, I can not judge the reasons - could you first try to plot the predictions and also ground truth to see whether they are reasonable? If the loss was decreasing but the accuracy was always 0, then it is very likely that there are some issues with the evaluation.
from roomformer.
ywyue
commented on May 28, 2024
Closed this issue for now. Feel free to let me know if you have further concerns.
from roomformer.
Related Issues (20)
- Code Release HOT 1
- Actual 2D floor plan images as Density Map HOT 4
- Can you share the demo code? Enter DensityMap to obtain the results, as well as the result visualization code? HOT 2
- generate_point_cloud_stru3d.py error HOT 2
- About data preprocessing HOT 2
- The indicators of training results are abnormal HOT 4
- Structured3D Data preprocessing problem HOT 5
- Segmentation fault (core dumped)
- issue about corners_pad[:len(corners)] = corners HOT 2
- code HOT 3
- Training got stuck HOT 4
- How to visualize the result? HOT 2
- Could you provide the data preprocessing codes? Thanks a lot! HOT 3
- detectron2.data HOT 3
- How to get the semantic-rich floorplan result? HOT 2
- no kernel image is available for execution on the device HOT 1
- run eval_stru3d_sem_rich.sh failed HOT 5
- Some advice on training the model HOT 3
- MSDeformAttnFunction.apply, can be implemented by pytorch? HOT 1
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