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Text Extraction-EasyOCR  | Discount Coupon for Udemy Course
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Text Extraction-EasyOCR | Discount Coupon for Udemy Course

$14.99 $19.9925% off
Price expires 1 year ago

Optical Character Recognition | Discount Coupon for Udemy Course

(5 ratings)
3404 students
Created by:
Last updated 10/2022Course Language EnglishCourse Caption English [Auto]Course Length 01:19:47 to be exact 4787 seconds!Number of Lectures 21
This course includes:
  • 1.5 hours hours of on-demand video
  • 11 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion
  • 1 additional resources

Hello future developers, welcome to the course on text extraction using the power of computers, thus Optical Character Recognition( OCR).Do you want to extract text from an image for personal or commercial purposes without having to pay for expensive software or online services? This course is for you if you answered, Yes because, you will learn to build your very own OCR program in python.With EasyOCR, the power of artificial intelligence is just a python code away(a few lines of code).EasyOCR, comes with great methods that will help us extract text from images as easily as making pie without the need for sophisticated technologies.EasyOCR comes with options to other use the Graphical Processing Unit (GPU) of their computer or coders can use the normal Central Processing Unit (CPU) of their computers to extract images from images fed to the code.In this course, we will use easyOCR, a python package that can help us to extract texts from images with just a few lines of code.We will learn to use some computer vision methods from openCV to help us overlay text on our images, kinda tagging our text based on a region/ bounding box for which a particular text is located on an image.Who this course is for:Python developersBeginnersText MinersEducators

Course Content:

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2 Lectures | 00:18
2 Lectures | 13:32
2 Lectures | 06:09
2 Lectures | 08:35
2 Lectures | 05:22
3 Lectures | 17:49
2 Lectures | 04:22
2 Lectures | 08:36
2 Lectures | 08:12
2 Lectures | 06:49
(5 course ratings)






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