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README.md

EdgeSAM

Input

input_image

(Image from https://github.com/facebookresearch/segment-anything/blob/main/notebooks/images/truck.jpg)

Output

segmentation

output_image

Usage

Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.

For the sample image,

$ python3 edge_sam.py

If you want to specify the input image, put the image path after the --input option.
You can use --savepath option to change the name of the output file to save.

$ python3 edge_sam.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

If you want to specify the positive point, put the coordinates(x,y) after the --pos option.

$ python3 edge_sam.py --pos 500 375

And if you want to specify the negative point, put the coordinates after the --neg option.

$ python3 edge_sam.py --pos 500 375 --neg 360 405

If you want to specify the box, put the coordinates(x1,y1,x2,y2) after the --box option.

$ python3 edge_sam.py --box 425 600 700 875

These options can be combined.

$ python3 edge_sam.py --pos 500 375 --pos 1125 625
$ python3 edge_sam.py --box 425 600 700 875 --neg 575 750

Reference

Framework

PyTorch

Model Format

ONNX opset = 11

Netron