How Self Driving Cars MATCH CONTOURS to identify Traffic Signs | Match Contours Python OpenCV

This video titled "How Self Driving Cars MATCH CONTOURS to identify Traffic Signs | Match Contours Python OpenCV" explains the concept of Contour Matching which is used by Self Driving Cars to identify Traffic Signs. This concept is heavily used in Computer Vision and Image Processing to check if a particular image is present in the set of images or not. Contour matching is an important problem in computer vision with a variety of applications, including model-based recognition to decide whether a model curve and an image curve are the same and even in Self Driving Cars. This is the next video in the Python OpenCV Crash Course. Later on, in the upcoming videos, we will see how can we build face detection, object detection types of Computer Vision Projects.
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#ContourMatching #OpenCVTutorial #ComputerVisionProjects

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What is the most common application of Computer Vision in today's world?

[@kartikkarande2614]

image recognition
sir

[@aditimondal3995]

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