Prerequisite : Basics of OpenCV
In this article we’ll try to open an image by using OpenCV (Open Source Computer Vision). Some external libraries such as numpy and matplotlib will also be used to get our task done.
Inorder to do this, some external libraries are required to install :
pip install opencv-python pip install numpy pip install matplotlib
Input Image :
Example #1 (Using Numpy) :
# Python code to reading an image using OpenCV import numpy as np import cv2 # You can give path to the # image as first argument img = cv2.imread('cc.jpg', 0) # will show the image in a window cv2.imshow('image', img) k = cv2.waitKey(0) & 0xFF # wait for ESC key to exit if k == 27: cv2.destroyAllWindows() # wait for 's' key to save and exit elif k == ord('s'): cv2.imwrite('messigray.png',img) cv2.destroyAllWindows() |
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Example #2 (Using Matplotlib):
# Python code to reading an image using OpenCV import cv2 import numpy as np import matplotlib.pyplot as plt img = cv2.imread('photo.jpg', cv2.IMREAD_GRAYSCALE) cv2.imshow('image', img) cv2.waitKey(0) cv2.destoryAllWindows() |
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Output :
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