Comments (3)
bowenc0221
commented on July 19, 2024
These changes will only affect visualization if you do not need to get instance segmentation of things only from a panoptic segmentation model.
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sidml
commented on July 19, 2024
I also got this error.
The fix suggested by @paussus works. I am not sure why the issue was closed when the issue still persists.
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RaghavPrabhakar66
commented on July 19, 2024
The issue is still there and the fix suggested by @paussus works. I think the issue should be reopened until there is a permanent fix.
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Related Issues (20)
- How to understand the output of different tasks
- Using ground truth masks instead of the predicted ones
- No module named 'MultiScaleDeformableAttention', Please compile MultiScaleDeformableAttention CUDA op HOT 2
- As for training, how long does it take?
- HAVE ANYONE MEET SUCH ERROR WHEN TRAINING ON OWN DATASET HOT 1
- batch_size doesn't affect evaluation
- how use custom pre-trained backbone in mask2former HOT 1
- why swin accept different input size
- loading swintransformer
- Ambiguous checkpoint key error when running train_net.py HOT 1
- difference among different mode
- Prebuilt wheels provided via 3rd party repository
- Using COCO for the dataset, what is the appropriate adjustment for learning rate if using a single GPU
- Run in colab seems that there's a ModuleNotFoundError related to the MultiScaleDeformableAttention module.
- Poor Output image quality
- Mask loss with soft labels
- Custom dataset registration to use a model trained on Cityscapes for semantic segmentation.
- How should I fix the input size during testing? HOT 3
- Could you please let me know if anyone has successfully trained using the YouTube VIS 2021 dataset? How should the dataset be formatted?
- How to train only the semantic segmentation weights of ade20k?
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