- The output image of ailia-models/dewarpnet is used as the sample input image. (original image from https://github.com/cvlab-stonybrook/DewarpNet/tree/master/eval/inp)
Ailia input shape: (1, 3, 128, 128)
Range: [-1, 1]
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 illnet.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 illnet.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH
By adding the --video
option, you can input the video. (test implementation)
If you pass 0
as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 illnet.py --video VIDEO_PATH
Document Rectification and Illumination Correction using a Patch-based CNN
PyTorch 1.3
ONNX opset = 10