| --- |
| license: apache-2.0 |
| pipeline_tag: mask-generation |
| library_name: coreml |
| --- |
| |
| # SAM2 BasePlus Core ML |
|
|
| SAM 2 (Segment Anything in Images and Videos), is a collection of foundation models from FAIR that aim to solve promptable visual segmentation in images and videos. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information. |
|
|
| This is the Core ML version of [SAM 2 BasePlus](https://huggingface.co/facebook/sam2-hiera-base-plus), and is suitable for use with the [SAM2 Studio demo app](https://github.com/huggingface/sam2-studio). It was converted in `float16` precision using [this fork](https://github.com/huggingface/segment-anything-2/tree/coreml-conversion) of the original code repository. |
|
|
| ## Download |
|
|
| Install `huggingface-cli` |
|
|
| ```bash |
| brew install huggingface-cli |
| ``` |
|
|
| ```bash |
| huggingface-cli download --local-dir models coreml-projects/coreml-sam2-baseplus |
| ``` |
|
|
| ## Citation |
|
|
| To cite the paper, model, or software, please use the below: |
| ``` |
| @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} |
| } |
| ``` |
|
|
