(Image from https://github.com/fabio-sim/DocShadow-ONNX-TensorRT/blob/main/assets/sample.jpg)

Ailia input shape : (1, 3, IMAGE_HEIGHT, IMAGE_WIDTH)

Ailia output shape : (1, 3, IMAGE_HEIGHT , IMAGE_WIDTH)

Automatically downloads the onnx and prototxt files when running. It is necessary to be connected to the Internet while downloading.

For the sample image with twice the resolution,

$ python3 docshadow.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 docshadow.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 docshadow.py --video VIDEO_PATH

DocShadow-ONNX-TensorRT

Pytorch 2.0.1

ONNX opset = 12

docshadow_sd7k.onnx.prototxt

docshadow_jung.onnx.prototxt

docshadow_kligler.onnx.prototxt