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Reading text from images with either Tesseract or Darknet/YOLO 

Stephane Charette
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Some example C++ code showing how to read text from images. Shows both Tesseract and Darknet/YOLO, and which type of images works for both methods.
- github.com/stephanecharette/t...
- / discord

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25 фев 2022

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Комментарии : 10   
@andreluizeng
@andreluizeng Год назад
nice project, I passed through the same issue when working with OCR, tessaract just helps on a plain black and white texts, for images, you I did the same as you did, training the NN for each letter, and worked pretty well, I had to reconstruct the text since I was reading vehicle license plates, the test video is on my channel. Cheers
@consolemodding1015
@consolemodding1015 Год назад
I wish I had realized the gold the channel held here back when I watched this video
@MonteLogic
@MonteLogic 2 года назад
No dark mode? You must have the eyes of God.
@kevinjoythomas6528
@kevinjoythomas6528 2 месяца назад
Really great project but i wanted to know if there was two lines of text in the sign what would you do. please help
@StephaneCharette
@StephaneCharette 2 месяца назад
Look at the Y coordinate as well as the X.
@_faez
@_faez Год назад
Great video ! Can we do the same thing on windows (since you did it on Linux). Can you explain how you build your model to recognize the different stuffs (signs, street name, etc..) ? Thank you
@StephaneCharette
@StephaneCharette Год назад
See my other videos where I explain how to train neural networks.
@Sebyi
@Sebyi 6 месяцев назад
Hello! How did you manage to include Tesseract in your C++ project?
@StephaneCharette
@StephaneCharette 6 месяцев назад
That's extremely simple. See my blog post here for example: www.ccoderun.ca/programming/2022-03-26_tesseract_image_quality/
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