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

3.9
별점
94개의 평가
제공자:
Coursera Project Network
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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
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

TensorflowDeep Learning in PythonObject DetectionOptical Character RecognitionComputer Vision

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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