OpenCV- Computer Vision using Python | By Govind Sharma
OpenCV (Open Source Computer Vision Library) is a powerful library for computer vision and image processing in Python. Here's a brief overview of how to use OpenCV in Python:
Install the OpenCV library using pip:
pip install opencv-python
import cv2
Load an image into your Python code using the cv2.imread() function:
img = cv2.imread('image.jpg')
Display the image in a window using the cv2.imshow() function:
cv2.imshow('image', img)
cv2.waitKey(0)
This code will display the image in a window titled 'image'. The cv2.waitKey(0) function waits for a key press before closing the window.
Apply image processing functions to the image using OpenCV functions. For example, you can convert the image to grayscale using the cv2.cvtColor() function:
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
Save the processed image to a file using the cv2.imwrite() function:
cv2.imwrite('gray_image.jpg', gray_img)
Here's the complete code for using OpenCV in Python to load, display, and process an image:
import cv2
img = cv2.imread('image.jpg')
cv2.imshow('image', img)
cv2.waitKey(0)
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imwrite('gray_image.jpg', gray_img)
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