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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
OpenCV Edge Detection
OpenCV Contours
OpenCV Hough Transformation Lines
OpenCV Moments & Convexhull
OpenCV Morphological Transformation
OpenCV Template Matching
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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.
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.