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 ...

Get OpenCV 3 Computer Vision with Python Cookbook now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.