Computer Vision Masterclass
Learn how to detect faces from images and videos using Python, OpenCV and Dlib!
What you’ll learn
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Understand the basic intuition about Cascade and HOG classifiers to detect faces
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Implement face detection using OpenCV and Dlib library
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Learn how to detect other objects using OpenCV, such as cars, clocks, eyes, and full body of people
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Compare the results of three face detectors: Haarcascade, HOG (Histogram of Oriented Gradients) and CNN (Convolutional Neural Networks)
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Detect faces using images and the webcam
Requirements
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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
