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學生對 Coursera Project Network 提供的 Real-time OCR and Text Detection with Tensorflow, OpenCV and Tesseract 的評價和反饋

137 個評分
28 條評論


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....

26 - Real-time OCR and Text Detection with Tensorflow, OpenCV and Tesseract 的 29 個評論(共 29 個)

創建者 Vitor A R


The cloud environment has a problem. It keeps changing from "split screen view" to "only instructors screen mode". Because it keeps changing automatically, you have to stop coding, pause the video and click on the button next to the Fit one. Then, after some seconds, It automatically changes and you have to do everything again (to stop coding, pause the video and click on the button). Nobody answers in the project forum, and the support answered: "After further verification of your screenshots and our platform, we confirmed it is not a glitch. That is the normal format for the Guided Project."

It looks like there is no staff taking care of the Project. This Guided Project should be deleted form Coursera's platform.

創建者 Prateek J


Too fast, explanation is too vague and the guy seems to assume that we are already too well versed with this subject. Even though he is assuming one should know Python, he is also automatically assuming we know tensorflow entirely.

Not recommended

創建者 Hieu N T


Really disappointed, worst $10 spend ever!

I really expect the guides to be more insightful and informative than some useless scripts.

About what this course cover: less than free youtube videos content.

創建者 Rubén G R


N​o access to source code.

V​ideos too short.

J​ust comment a few lines of code.