Face Recognition with OpenCV with Python | Part 6 | Final Part



In this video on OpenCV Python Tutorial For Beginners, we are going to see How we can do Face Recognition using Haar Feature based Cascade Classifiers. Using OpenCV and Python, you can recognize faces in minutes. Python Face Recognition in a Few Lines of Code
About Arpit:
LinkedIn – https://www.linkedin.com/in/arpitdhamija/ By the end of the tutorial, you will be able to build a lane-detection algorithm fuelled entirely by Computer Vision.
OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python.
it is Open Source and free. opencv is easy to use and install. Starting with an overview of what the course will be covering, we move on to discussing morphological operations and practically learn how they work on images. We will then learn contrast enhancement using equalization and contrast limiting. Finally we will learn 3 methods to subtract the background from the video and implement them using OpenCV. At the end of this course, you will have a firm grasp of Computer Vision techniques using OpenCV libraries. This course will be your gateway to the world of data science. Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. resources:
https://docs.opencv.org/4.0.0/d7/d8b/tutorial_py_face_detection.html #ProgrammingKnowledge #ComputerVision #OpenCV
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Face Recognition with OpenCV with Python | Part 6 | Final Part

Face Recognition with OpenCV with Python | Part 6 | Final Part

 

 

 

 

 

 

 

 

 

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