CV2 Python
CV2 Python:
OpenCV (Open Source Computer Vision) is a popular computer vision library in Python. It provides various functions and tools for image and video processing, including image manipulation, object detection, feature extraction, and more. To use OpenCV in Python, you need to install the library first.
You can install it using pip:
pip install opencv-python
Once you have installed OpenCV, you can import the library into your Python script and start using its functionalities. Here’s an example that demonstrates some basic image processing operations using OpenCV:
import cv2
# Read an image
image = cv2.imread('image.jpg')
# Display the image
cv2.imshow('Image', image)
cv2.waitKey(0)
# Convert the image to grayscale
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Display the grayscale image
cv2.imshow('Grayscale Image', gray_image)
cv2.waitKey(0)
# Save the grayscale image
cv2.imwrite('gray_image.jpg', gray_image)
# Close all windows
cv2.destroyAllWindows()
In the above example, we first read an image using cv2.imread(), display it using cv2.imshow(), and wait for a key press using cv2.waitKey(). Then, we convert the image to grayscale using cv2.cvtColor() and display the grayscale image. Finally, we save the grayscale image using cv2.imwrite() and close all open windows using cv2.destroyAllWindows().
This is just a simple example, and OpenCV offers a wide range of functionalities for advanced computer vision tasks. You can refer to the OpenCV documentation for more detailed information on the available functions and their usage.
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