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.
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.nfs*
# compilation and distribution
__pycache__
_ext
*.pyc
*.pyd
*.so
*.dll
*.egg-info/
build/
dist/
wheels/
# pytorch/python/numpy formats
*.pth
*.pkl
*.npy
*.ts
model_ts*.txt
# onnx models
*.onnx
# ipython/jupyter notebooks
**/.ipynb_checkpoints/
# Editor temporaries
*.swn
*.swo
*.swp
*~
# editor settings
.idea
.vscode
_darcs