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OpenCV Introduction

OpenCV Image Read & Write

OpenCV Image Channels

OpenCV Color Conversion

OpenCV Rotation & Crop

OpenCV Text & Shape

OpenCV Video

OpenCV Arithmetics Operation

OpenCV Thresholding

OpenCV Blur & Blending

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Introduction of opencv

What is OpenCV?

OpenCV is a very powerful python library. OpenCV is used for image processing. Suppose you want to create any shape or text on the image then you will use OpenCV. To change the color format of the image, we can use OpenCV. To read image and video, or record video or capture image, we can use OpenCV. If you want to draw anything on a video or image then you can use OpenCV. You can perform crop, blur, blending, rotation, thresholding, object detection, etc on image or video using OpenCV.

If you want to work with images using python for any cases like machine learning, deep learning, etc, then you must need OpenCV. So learning OpenCV is very important. In data science, we work with images. So a data scientist should learn OpenCV.

How to download and install OpenCV?

To install OpenCV in anaconda ,
1. at first open the anaconda powershell or terminal and run the given command.
Command:
pip install OpenCV.

To install OpenCV in jupyter notebook ,
1. at first open the jupyter notebooks and run the given command.
Command:
!pip install OpenCV.

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