gfm

Bridging Composite and Real: Towards End-to-end Deep Image Matting

Input

Source image

(Image from https://github.com/JizhiziLi/GFM/tree/master/samples/original)

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 gfm.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 gfm.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 gfm.py --video VIDEO_PATH

You can specify the "model type" by specifying after the --model_type option. The model type is selected from "r34_2b_tt", "d121_tt", "d121_rim".

$ python3 gfm.py --model_type r34_2b_tt

Reference

• Bridging Composite and Real: Towards End-to-end Deep Image Matting

Framework

Pytorch

Model Format

ONNX opset=11

Netron

gfm_d121_tt.onnx.prototxt
gfm_d121_rim.onnx.prototxt
gfm_r34_2b_tt.onnx.prototxt