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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[flake8] |
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ignore = W503, E203, E221, C901, C408, E741, C407, B017, F811, C101, EXE001, EXE002 |
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max-line-length = 100 |
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max-complexity = 18 |
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select = B,C,E,F,W,T4,B9 |
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per-file-ignores = |
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**/__init__.py:F401,F403,E402
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