The task mentioned above states that to read an image file and loads its pixels data as a NumPy array ,which can then be displayed .
Here in this task we learn about certain points that are :
- Image processing : How to load images in various formats .
- Image Manipulation : Understand pixel data stored as arrays for operations like filtering and transformations.
- Efficient Image Handling : Learning OpenCV for fast image processing data.
openCV In Python for cv2.imread()
Code :
import cv2 image = cv2.imread('path_to_your_image.jpg') if image is not None: cv2.imshow('Loaded Image', image) cv2.waitKey(0) cv2.destroyAllWindows() else: print('Error: Image not found or cannot be loaded.')
Explanation :
The code mentioned by me explains the following things that are
• import cv2: Imports the OpenCV library to work with images.
• image = cv2.imread(‘path_to_your_image.jpg’): Reads the image file from the given path.
• if image is not None: Checks if the image was successfully loaded.
• cv2.imshow(‘Loaded Image’, image): Opens a window and displays the image.
• cv2.waitKey(0): Keeps the window open until any key is pressed.
• cv2.destroyAllWindows(): Closes the image window.
• else: print(‘Error: Image not found or cannot be loaded.’): Prints an error message if the image wasn’t found or failed to load.
this can be explain with output example.
Output :
suppose we have to find image at certain location lets take image of me onkar.jpg for this code:
image = cv2.imread('onkar .jpg')
if it finds onkar.jpg in right location then program will show image else it will print error or not found .
The more resources we can refer to get knowledge are :
https://www.geeksforgeeks.org/python-opencv-cv2-imread-method/
https://www.tutorialspoint.com/opencv_python/opencv_python_reading_image.htm
These are certain things that I want to share thank you ….