dis_seg

DIS segmentation

Input

(from https://github.com/xuebinqin/DIS)

Ailia input shape(1, 3, Y, X) where X and Y are multiples of 64 Range:[0, 1]

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 dis_seg.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 dis_seg.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 dis_seg.py --video VIDEO_PATH

The default setting is to use the optimized model and weights, but you can also switch to the normal model by using the --normal option.

Reference

Highly Accurate Dichotomous Image Segmentation

Framework

PyTorch

Model Format

ONNX opset = 12

Netron

dis.onnx.prototxt