(from https://github.com/cvlab-stonybrook/DewarpNet/tree/master/eval/inp)
Ailia input shape: (1, 3, 256, 256)
Range: [0, 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 dewarpnet.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 dewarpnet.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATHBy 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 dewarpnet.py --video VIDEO_PATHDewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks
PyTorch 1.3.1
ONNX opset = 10