OpenCV Python Tutorial For Beginners 27 – Template matching using OpenCV in Python



In this video on OpenCV Python Tutorial For Beginners, I am going to show How to do Template Matching using OpenCV Python. Template Matching is a method for searching and finding the location of a template image in a larger image. OpenCV comes with a function cv.matchTemplate() for this purpose. Gist of code I used in this video (Template matching using OpenCV in Python Tutorial ) – https://gist.github.com/pknowledge/eada42b1db043f4cc6a16e66bc6d1bbc 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. #ProgrammingKnowledge #ComputerVision #OpenCV
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OpenCV Python Tutorial For Beginners 27 – Template matching using OpenCV in Python

OpenCV Python Tutorial For Beginners 27 – Template matching using OpenCV in Python

 

 

 

 

 

 

 

 

 

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