facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Jupyter NotebookApache-2.0
Issues
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Is there a way the save the mask objects by SAM?
#734 opened - 0
Will this package be maintained?
#733 opened - 0
missing "predict.py & cog.yaml"
#732 opened - 3
"Empty" box input
#731 opened - 0
How is ViTDet backbone pretrained with MAE?
#729 opened - 1
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How to use it with text prompt
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How to extract each segment feature
#709 opened - 1
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Output of labels/pseudo label
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Prompt detection
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dimension
#703 opened - 1
Grayscale image segmantic segmentation
#702 opened - 0
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How to implement demo effect
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Mask prompts
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How do I obtain the path of the current partition? I want to outline this area in the canvas
#691 opened - 0
How to deal with overlapping masks
#690 opened - 1
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Video on-click prompt
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Modifying SAM for semantic segmentation
#682 opened - 2
Increase segmentation areas?
#681 opened - 1
Multimodal input substitution for RGB
#680 opened - 2
Multimask output question
#679 opened - 4
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Visualizing SAM Mask decoder attention
#677 opened