Summary Computer Vision with OpenCV in Python

Computer Vision with OpenCV in
Python – Complete Study Notes
Introduction
Computer Vision is a field of artificial intelligence that enables machines to interpret and
understand visual information from the world, such as images and videos.

It is widely used in applications like face recognition, object detection, medical imaging, and
autonomous vehicles.

In Python, OpenCV is one of the most popular libraries used for computer vision tasks.


Definition
Computer Vision refers to techniques that allow computers to analyze and extract
meaningful information from images and videos.

It combines image processing, machine learning, and deep learning methods to understand
visual data.


OpenCV Overview
OpenCV (Open Source Computer Vision Library) is an open-source library used for real-
time computer vision applications.

It supports image processing, video capture, object detection, and more.

It can be installed using pip: pip install opencv-python.


Reading and Displaying Images
Images can be loaded using cv2.imread() and displayed using cv2.imshow().

Example Code:

import cv2

img = cv2.imread('image.jpg')

cv2.imshow('Image', img)

cv2.waitKey(0)

cv2.destroyAllWindows()