Real-time OCR and Text Detection with Tensorflow, OpenCV and Tesseract

3.9
92 個評分
提供方
Coursera Project Network
5,266 人已註冊
在此指導項目中,您將:

Train Tensorflow to recognize a Region of Interest (ROI) in an image or frame of a video.

Extract and enhance relevant image segments with OpenCV .

Use Tesseract to extract, export text data for use in real-time.

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

TensorflowDeep Learning in PythonObject DetectionOptical Character RecognitionComputer Vision

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Set up a new Real Time Text Detection script

  2. Collect and Label Images for recognition of Region of Interest (ROI)

  3. Train Tensorflow to recognize Region of Interest (ROI)

  4. Capture webcam video stream, frames from a video file, or a static image

  5. Extract and enhance relevant image segments with OpenCV

  6. Use Tesseract to extract, export text data for use

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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常見問題

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