espcn

ESPCN

Input

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

Output

Ailia output shape : (1,3,192,192)
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 espcn.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 espcn.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 espcn.py --video VIDEO_PATH

Reference

Image Super-Resolution using an Efficient Sub-Pixel CNN

Framework

TensorFlow 2.7.0

Netron

espcn.tflite

espcn_quant.tflite