image_segmentation_efficientsam

image_segmentation_efficientsam

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Notes:

• The current implementation of the EfficientSAM demo uses the EfficientSAM-Ti model, which is specifically tailored for scenarios requiring higher speed and lightweight.
• MD5 value of "efficient_sam_vitt.pt" is 7A804DA508F30EFC59EC06711C8DCD62
• SHA-256 value of "efficient_sam_vitt.pt" is DFF858B19600A46461CBB7DE98F796B23A7A888D9F5E34C0B033F7D6EB9E4E6A

Demo

Python

Run the following command to try the demo:

python demo.py --input /path/to/image

Click only once on the object you wish to segment in the displayed image. After the click, the segmentation result will be shown in a new window.

Result

Here are some of the sample results that were observed using the model:

Video inference result:

Model metrics:

License

All files in this directory are licensed under Apache 2.0 License.

Contributor Details

Reference

• https://arxiv.org/abs/2312.00863
• https://github.com/yformer/EfficientSAM