srresnet

SRResNet

Input

Ailia input shape : (1,3,64,64)
Range : [0.0, 1.0]

Output

Ailia output shape : (1,3,256,256)
Range : [0, 1.0]

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 srresnet.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 srresnet.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 srresnet.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.

Image Input only: Instead of resizing input image to (64 * 64) when loading, you can try padding mode using --padding option.

Reference

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Framework

Pytorch 1.2.0

Model Format

ONNX opset = 10

Netron

srresnet.onnx.prototxt

srresnet.opt.onnx.prototxt