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.
Here is the Segment Anything CPP Wrapper for macOS.
This code is originated from Segment Anything CPP Wrapper and implemented on macOS app RectLabel. We customized the original code so that getMask() uses the previous mask result called as low_res_logits and retain the previous mask array for undo/redo actions.
We hope this macOS version would help to develop the iOS version.
Please let us know your opinion.
Improved "Create polygon using SAM" feature so that you can label pixels using the pixels option. You can label Segment Anything 1 Billion (SA-1B) like dataset by yourself.
Thanks for your Segment Anything Model.
Here is the Segment Anything CPP Wrapper for macOS. This code is originated from Segment Anything CPP Wrapper and implemented on macOS app RectLabel. We customized the original code so that getMask() uses the previous mask result called as low_res_logits and retain the previous mask array for undo/redo actions.
We hope this macOS version would help to develop the iOS version. Please let us know your opinion.