YavorGIvanov/sam.cpp

Fast state-of-the-art image and video segmentation in portable C/C++

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.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

A batched offline inference oriented version of segment-anything

[AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT