agllnet

AGLLNet

Input

(Image from https://github.com/yu-li/AGLLNet/blob/main/input/5047.png)

Ailia input shape: (1, 3, 768, 1152)

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 agllnet.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 agllnet.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 agllnet.py --video VIDEO_PATH

Reference

AGLLNet: Attention Guided Low-light Image Enhancement (IJCV 2021)

Framework

Tensorflow 1.8.0

Model Format

ONNX opset = 12

Netron

AGLLNet.onnx.prototxt