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8353bbbf93
* add segment anything model * add readme * reorg file structure * update * lint * minor updates * ack * fix weight loading * simplify * fix to run notebooks * amg in mlx * remove torch dependency * nit in README * return indices in nms * simplify * bugfix / simplify * fix bug' * simplify * fix notebook and remove output * couple more nits --------- Co-authored-by: Awni Hannun <awni@apple.com> |
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| .. | ||
| notebooks | ||
| segment_anything | ||
| convert.py | ||
| main.py | ||
| README.md | ||
| requirements.txt | ||
Segment Anything
An implementation of the Segment Anything Model (SAM) in MLX. See the original repo by Meta AI for more details.1
Installation
pip install -r requirements.txt
Convert
python convert.py --hf-path facebook/sam-vit-base --mlx-path sam-vit-base
The safetensors weight file and configs are downloaded from Hugging Face,
converted, and saved in the directory specified by --mlx-path.
The model sizes are:
facebook/sam-vit-basefacebook/sam-vit-largefacebook/sam-vit-huge
Run
See examples notebooks/predictor_example.ipynb and
notebooks/automatic_mask_generator_example.ipynb to try the Segment Anything
Model with MLX.
You can also generate masks from the command line:
python main.py --model <path/to/model> --input <image_or_folder> --output <path/to/output>
-
The original Segment Anything GitHub repo. ↩︎