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OpenCV 3 Computer Vision with Python Cookbook

You're reading from   OpenCV 3 Computer Vision with Python Cookbook Leverage the power of OpenCV 3 and Python to build computer vision applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788474443
Length 306 pages
Edition 1st Edition
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Authors (2):
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Aleksandr Rybnikov Aleksandr Rybnikov
Author Profile Icon Aleksandr Rybnikov
Aleksandr Rybnikov
Aleksei Spizhevoi Aleksei Spizhevoi
Author Profile Icon Aleksei Spizhevoi
Aleksei Spizhevoi
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Toc

Table of Contents (11) Chapters Close

Preface 1. I/O and GUI FREE CHAPTER 2. Matrices, Colors, and Filters 3. Contours and Segmentation 4. Object Detection and Machine Learning 5. Deep Learning 6. Linear Algebra 7. Detectors and Descriptors 8. Image and Video Processing 9. Multiple View Geometry 10. Other Books You May Enjoy

Object Detection and Machine Learning

In this chapter, we will cover the following recipes:

  • Obtaining an object mask using the GrabCut algorithm
  • Finding edges using the Canny algorithm
  • Detecting lines and circles using the Hough transform
  • Finding objects via template matching
  • The real-time median-flow object tracker
  • Tracking objects using different algorithms via the tracking API
  • Computing the dense optical flow between two frames
  • Detecting chessboard and circle grid patterns
  • A simple pedestrian detector using the SVM model
  • Optical character recognition using different machine learning models
  • Detecting faces using Haar/LBP cascades
  • Detecting AruCo patterns for AR applications
  • Detecting text in natural scenes
  • The QR code detector and recognizer
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