Comments (5)
chhluo
commented on July 19, 2024
2
The size of these two checkpoints are same, both 168MB.
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chhluo
commented on July 19, 2024
Link of Mask2former_r101 for coco panoptic points to checkpoint of mask2former_r50.
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bowenc0221
commented on July 19, 2024
Can you add a screenshot of the link you are referring to? I couldn't find the wrong link.
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bowenc0221
commented on July 19, 2024
IC, thanks for bringing this up! I will try to find the correct checkpoint for R101 model.
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coupriec
commented on July 19, 2024
Hi, there seems to be a mistake in the line
Mask2Former (200 queries) | R50 | 160k | 34.9 | 49040271_0 | model
as well.
First it is not an R50 backbone that is provided.
Second, when trying
python demo.py --config-file ../maskformer2_swin_large_IN21k_384_bs16_160k.yaml --input ADE20kChallengeData2016/011719/images/validation/ADE_val_00000001.jpg --opts MODEL.WEIGHTS ../model_final_92dae9.pkl
We get :
File "/private/home/coupriec/.conda/envs/Mask2former/lib/python3.9/site-packages/yaml/scanner.py", line 577, in fetch_value
raise ScannerError(None, None,
yaml.scanner.ScannerError: mapping values are not allowed here
in "../maskformer2_swin_large_IN21k_384_bs16_160k.yaml", line 26, column 67
Thanks for your help and best regards
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Related Issues (20)
- Installation expects CUDA_HOME on Apple Silicon Macs HOT 1
- 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
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- loading swintransformer
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- Poor Output image quality
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- 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?
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