u2net_portrait

U^2-Net for human portrait drawing

Input

(Image above is from https://github.com/NathanUA/U-2-Net)

Output

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 u2net.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 u2net.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

By adding the --video option, you can input the video.
If you pass 0 as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.

$ python3 u2net.py --video VIDEO_PATH

Reference

• U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Framework

PyTorch >= 0.4.0

Model Format

ONNX opset=10

Netron

u2net_portrait.onnx.prototxt