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.
Hi!
We run a couple of tests and f16 embeddings perform similar results with the f32, while consuming 50% less memory. I was wondering whether 32 bit is neccessary, or did you do any test regarding this.
Hi! We run a couple of tests and f16 embeddings perform similar results with the f32, while consuming 50% less memory. I was wondering whether 32 bit is neccessary, or did you do any test regarding this.