edsr

EDSR

Input

(Image from https://github.com/sanghyun-son/EDSR-PyTorch/blob/master/test/0853x4.png)

Ailia input shape : (1, 3, IMAGE_HEIGHT, IMAGE_WIDTH)

Output

Ailia output shape : (1, 3, IMAGE_HEIGHT * scale, IMAGE_WIDTH * scale)

default : scale=2

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 edsr.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 edsr.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH

If you want to change the resolution, put the scale number(one of 2, 3, or 4, default=2) after --scale option.

$ python3 edsr.py --scale 3

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 edsr.py --video VIDEO_PATH

Reference

Enhanced Deep Residual Networks for Single Image Super-Resolution

Framework

Pytorch 1.2.0

Model Format

ONNX opset = 11

Netron

edsr_scale2.onnx.prototxt

edsr_scale3.onnx.prototxt

edsr_scale4.onnx.prototxt