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hello everyone and welcome to my another tutorial text recognition with tensorflow and CTC Network so if you came to the store you should know that extracting text of different size shapes and orientations for images is a fundamental problem in many contexts as especially in augmented reality systems e-commerce and context moderation on social media platforms to solve this problem we need to extract drugs from images very accurately so there are two most popular methods that we could use to extract text from images first one is we can localize text and images using Tech detectors or segmentators and then extract localizer text and thats way more straightforward way and there is another way we can train a model that achieves both the tactile and and recognition with a single model and thats a hard way its hardcore so in this tutorial I will focus only a word extraction part from the whole OCR pipeline because if I would like to cover everything it might take hours of covering it and
