Computer Vision Masterclass

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Computer Vision Masterclass


Learn how to detect faces from images and videos using Python, OpenCV and Dlib!

What you’ll learn

  • Understand the basic intuition about Cascade and HOG classifiers to detect faces
  • Implement face detection using OpenCV and Dlib library
  • Learn how to detect other objects using OpenCV, such as cars, clocks, eyes, and full body of people
  • Compare the results of three face detectors: Haarcascade, HOG (Histogram of Oriented Gradients) and CNN (Convolutional Neural Networks)
  • Detect faces using images and the webcam

Requirements

  • Basic Python programming

Who this course is for:

  • Beginners who are starting to learn Computer Vision
  • Undergraduate students who are studying subjects related to Artificial Intelligence
  • People who want to solve their own problems using Computer Vision
  • Students who want to work in companies developing Computer Vision projects
  • People who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solve
  • Anyone interested in Artificial Intelligence or Computer Vision
  • Data scientists who want to grow their portfolio
  • Professionals who want to understand how to apply Computer Vision to real projects

 

 




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