(Image above is from https://github.com/meijieru/crnn.pytorch.)
The output character will be printed.
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 crnn.pytorch.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 craft-pytorch.py --input 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 crnn.pytorch.py --video VIDEO_PATH
PyTorch
ONNX opset=10