README.md

MetaSam: Packaged version of the Segment Anything 2 Model

🛠️ Installation

pip install -e .
python setup.py build_ext --inplace

🤗 Model Hub

bash script/download_model.sh

⭐ Usage

from metasam import SAM2Wrapper

# Initialize SAM2Wrapper
sam = SAM2Wrapper("path/to/checkpoint", "path/to/config")

# Load an image
sam.set_image("path/to/your/image.jpg")

# Predict segmentation
masks, scores, logits = sam.predict(point_coords=[[500, 640]], point_labels=[1])

# Visualize results
sam.show_masks(masks, scores)

😍 Contributing

pip install pre-commit
pre-commit install
pre-commit run --all-files

📜 License

This project is licensed under the terms of the Apache License 2.0.

🤗 Citation

@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}
}