Coreml Sam2.1 Large

🚀 SAM 2.1 Large Core ML

SAM 2 (Segment Anything in Images and Videos) is a set of foundation models from FAIR, designed to address promptable visual segmentation in images and videos. This Core ML version of SAM 2.1 Large is suitable for use with the SAM2 Studio demo app.

🚀 Quick Start

SAM 2 (Segment Anything in Images and Videos) consists of a series of foundation models developed by FAIR. Their goal is to tackle promptable visual segmentation in both images and videos. For more details, refer to the SAM 2 paper.

This is the Core ML version of SAM 2.1 Large, and it can be used with the SAM2 Studio demo app. It was converted with float16 precision using this fork of the original code repository.

📦 Installation

Install huggingface-cli

brew install huggingface-cli

Download the model

huggingface-cli download --local-dir models apple/coreml-sam2.1-large

📄 License

The project is licensed under Apache-2.0.

📚 Documentation

Citation

To cite the paper, model, or software, please use the following BibTeX entry:

@article{ravi2024sam2,
  title={SAM 2: Segment Anything in Images and Videos},
  author={Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Alwala, Kalyan Vasudev and Carion, Nicolas and Wu, Chao-Yuan and Girshick, Ross and Doll{\'a}r, Piotr and Feichtenhofer, Christoph},
  journal={arXiv preprint arXiv:2408.00714},
  url={https://arxiv.org/abs/2408.00714},
  year={2024}
}