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.
README mentions needing optional dependencies for stuff like "post-processing". What is post-processing masks? It's mentioned no where else in the README or examples, so hard to tell if it's something I would need.
README mentions needing optional dependencies for stuff like "post-processing". What is post-processing masks? It's mentioned no where else in the README or examples, so hard to tell if it's something I would need.