Open CV is an open source library for image processing and computer vision techniques. It is built upon highly optimized C++ Back-end. We could even work on it using Java and Python. It is used in edge applications. It offers built in computer vision techniques or handeling image processing.
Open CV is used in:
1. Capturing and Reading frames / images from a Video Stream
2. Resizing an image to as per requirements
3. Changing color from one stream to another
4. It offers various computer vision techniques such as Canny Edge Detection which is used to extract edges from an image. It provides support to various other extensions thereby promoting functions such as Face Detection.
Some of the useful CV Functions are as follows:
1. cv2.VideoCapture(): It is used for reading or processing frames from the video
2. cv2.resize(): It is used to resize the image as per the requirement or particular constraints
3. cv2.cvtColor(): It is used to change the colour format to BGR as Open Vino by default accepts RGB Format
4. cv2.rectangle(): It is used to draw the bounding boxes onto an output image
5. cv2.imwrite(): It is used for saving down an particular image
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