EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
[Dec.11 2023] The EfficientSAM model code with checkpoints is fully available in this repository. The example script shows how to instantiate the model with checkpoint and query points on an image.
[Dec.10 2023] Grounded EfficientSAM demo is available on Grounded-Efficient-Segment-Anything (huge thanks to IDEA-Research team and @rentainhe for supporting grounded-efficient-sam demo under Grounded-Segment-Anything).
[Dec.6 2023] EfficientSAM demo is available on the Hugging Face Space (huge thanks to all the HF team for their support).
[Dec.5 2023] We release the torchscript version of EfficientSAM and share a colab.
Online demo and examples can be found in the project page.
| Point-prompt |  |
| Box-prompt |  |
| Segment everything |  |
| Saliency |  |
EfficientSAM checkpoints are available under the weights folder of this github repository. Example instantiations and run of the models can be found in EfficientSAM_example.py.
| EfficientSAM-S | EfficientSAM-Ti |
|---|---|
| Download | Download |
You can directly use EfficientSAM with checkpoints,
from efficient_sam.build_efficient_sam import build_efficient_sam_vitt, build_efficient_sam_vits
efficientsam = build_efficient_sam_vitt()
The notebook is shared here
If you're using EfficientSAM in your research or applications, please cite using this BibTeX:
@article{xiong2023efficientsam,
title={EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything},
author={Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest Iandola, Raghuraman Krishnamoorthi, Vikas Chandra},
journal={arXiv:2312.00863},
year={2023}
}