Short description

I am trying to train Tesseract on Akkadian language. The language-specific.sh script was modified accordingly. When converting the training text to TIFF images, the text2image program crashes.

Environment

• Tesseract Version: 3.04.01
• Commit Number: the standard package in Ubuntu, package version 3.04.01-4, commit unknown
• Platform: Linux ubuntu

1 In History, select multiple captures
2 Execute SHIFT+F10, Copy, FIlename
3 Inspect clipboard

Expected: multiple filenames
Observed: one filename - from focussed capture

Workaround: ??

cvNet = cv.dnn.readNetFromTensorflow('ctpn.pb', 'protobuf.pbtxt')
cv2.error: OpenCV(4.1.1) C:\projects\opencv-python\opencv\modules\dnn\src\tensorflow\tf_io.cpp:54: error: (-2:Unspecified error) FAILED: ReadProtoFromTextFile(param_file, param). Failed to parse GraphDef file: protobuf.pbtxt in function 'cv::dnn::ReadTFNetParamsFromTextFileOrDie'

Does anyone have any idea how I can solve this pr

I think we should add a paper which is named "Detecting Text in Natural Scenes with
Stroke Width Transform",although,it is very early,lots of classical papers mention it.
address:https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/201020CVPR20TextDetection.pdf

I noticed that you used image height param format as the font size.
https://github.com/Belval/TextRecognitionDataGenerator/blob/33d8985521645280e102987e773bf1e424a045df/TextRecognitionDataGenerator/computer_text_generator.py#L14
In my test, image_font = ImageFont.truetype(font=font_size=500), no error was reported, but it was time consuming.
So I am confused, why set format, font_size