dehamer

Dehamer

Input

(Image from https://github.com/Li-Chongyi/Dehamer/blob/main/data/classic_test_image/input/canyon.png)

Shape : (1, 3, 960, 960)

Output

Shape : (1, 3, 960, 960)

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 dehamer.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 dehamer.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 dehamer.py --video VIDEO_PATH

By adding the --model_type option, you can specify model type which is selected from "NH", "dense", "indoor", "outdoor". (default is NH)

$ python3 dehamer.py --model_type outdoor

Reference

• Dehamer

Framework

Pytorch

Model Format

ONNX opset=11

Netron

PSNR2066_SSIM06844_NH.onnx.prototxt
PSNR3518_SSIM09860_outdoor.onnx.prototxt
PSNR1662_SSIM05602_dense.onnx.prototxt
PSNR3663_ssim09881_indoor.onnx.prototxt