Python OpenCV Draw on Image
Python3
# Python3 program to draw rectangle # shape on solid image import numpy as np import cv2 # Creating a black image with 3 # channels RGB and unsigned int datatype img = np.zeros(( 400 , 400 , 3 ), dtype = "uint8" ) # Creating rectangle cv2.rectangle(img, ( 30 , 30 ), ( 300 , 200 ), ( 0 , 255 , 0 ), 5 ) cv2.imshow( 'dark' , img) # Allows us to see image # until closed forcefully cv2.waitKey( 0 ) cv2.destroyAllWindows() |
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Getting Started with Python OpenCV
Computer Vision is one of the techniques from which we can understand images and videos and can extract information from them. It is a subset of artificial intelligence that collects information from digital images or videos.
Python OpenCV is the most popular computer vision library. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human. When it is integrated with various libraries, such as NumPy, python is capable of processing the OpenCV array structure for analysis.
In this article, we will discuss Python OpenCV in detail along with some common operations like resizing, cropping, reading, saving images, etc with the help of good examples.