u2net-portrait-matting

U^2-Net - Portrait matting

Input

(Image from https://github.com/dennisbappert/u-2-net-portrait/blob/master/docs/sample_1.jpeg)

• Ailia input shape: (1, 3, 448, 448)

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-portrait-matting.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-portrait-matting.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-portrait-matting.py --video VIDEO_PATH

Add the --composite option if you want to combine the input image with the calculated alpha value.

$ python3 u2net-portrait-matting.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH --composite

Reference

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

Framework

PyTorch

Model Format

ONNX opset = 11

Netron

u2net-portrait-matting.onnx.prototxt