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Avis et commentaires pour d'étudiants pour Real-time OCR and Text Detection with Tensorflow, OpenCV and Tesseract par Coursera Project Network

4.1
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42 évaluations
4 avis

À propos du cours

In this 1-hour long project-based course, you will learn how to collect and label images and use them to train a Tensorflow CNN (convolutional neural network) model to recognize relevant areas of (typeface) text in any image, video frame or frame from webcam video. You will learn how to extract image segments that your detector has identified as containing text and enhance them using various image filters from the OpenCV module. Then you will learn how to pass the result image to Google's open-source OCR (Optical Character Recognition) software using the pytesseract python library and read the text to whatever form of output you like. All of this will be done on Windows, but can be accomplished with very little alteration on Linux as well. We will be using the IDLE development environment to write a single script to scan our video, webcam input, or array of images for text and read that text into our output. Tensorflow, the Tensorflow Object Detection API, Tesseract, the pytesseract library, labelImg for image annotation, OpenCV, and all other required software has already been installed for you in your Rhyme desktop. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 4 sur 4 Avis pour Real-time OCR and Text Detection with Tensorflow, OpenCV and Tesseract

par Seelam S

Jul 23, 2020

good practical project!

par JAYANTH B A

Aug 01, 2020

Nice explanation

par Kamlesh C

Jul 23, 2020

Thanks

par Santanu G

Aug 02, 2020

The course is very poorly organised. The instructor is ambiguous, just starts the course with typing off a script without bothering to state why he as doing so and forr which part of the Project the starting script is important or relevant.

He talks about a image_samples folder in my "virtual desktop" but there is no such folder to be found at all! I have attached a screenshot of what is visible in the discussion forum. This has been a wastage of time and money for me! I do not expect such standards from Coursera. This is verging on fraud. Please verify the QUALITY of your products before you start charging money to people!