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| Topics Covered in OpenCV assignment help | Price (USD) | Turnaround Time |
|---|---|---|
| Image Processing | $50 | 2-3 days |
| Object Detection | $60 | 3-4 days |
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- OpenCV assignment help
- Visualizing Images Using OpenCV in python
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OpenCV assignment help
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Visualizing Images Using OpenCV in python
import cv2
# Load an image from disk
image_path = 'path_to_your_image.jpg'
image = cv2.imread(image_path)
# Check if image loading was successful
if image is not None:
# Display the loaded image
cv2.imshow('Loaded Image', image)
cv2.waitKey(0) # Wait for any key press to close the window
cv2.destroyAllWindows() # Close all OpenCV windows
else:
print(f"Failed to load image from {image_path}")
In this example:
- Replace 'path_to_your_image.jpg' with the actual path to an image file on your system.
- cv2.imread() is used to load the image into a NumPy array.
- cv2.imshow() displays the image in a window titled 'Loaded Image'.
- cv2.waitKey(0) waits indefinitely for a key press (0 indicates indefinite wait), and cv2.destroyAllWindows() closes all OpenCV windows when any key is pressed.
This example showcases a fundamental operation in image processing using OpenCV, which is often a key topic in OpenCV assignments.
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