Скачать или смотреть python opencv crop image

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In this tutorial, we will explore how to crop images using the OpenCV library in Python. OpenCV is a powerful computer vision library that provides various functions for image processing and computer vision tasks. Cropping an image involves selecting a specific region of interest (ROI) and extracting that portion from the original image.
Before you start, make sure you have Python installed on your machine. You'll also need to install the OpenCV library. You can install it using the following command:
Let's create a simple Python script that demonstrates how to crop an image using OpenCV:
Import OpenCV: Import the OpenCV library using the import cv2 statement.
Define the crop_image Function: This function takes the path to an image (image_path) and the coordinates/dimensions of the region to be cropped (x, y, width, height).
Read the Image: Use cv2.imread to read the original image.
Crop the Image: Use NumPy array slicing to crop the image based on the specified coordinates and dimensions.
Display the Images: Use cv2.imshow to display the original and cropped images side by side. cv2.waitKey(0) is used to wait for a key press, and cv2.destroyAllWindows() closes the image windows.
Save the Cropped Image: Save the cropped image using cv2.imwrite to a new file (cropped_image.jpg in this example).
Run the Script: In the _main_ block, specify the path to your image and the coordinates/dimensions of the region to crop. Run the script, and it will display and save the cropped image.
Congratulations! You have successfully learned how to crop images using OpenCV in Python. Feel free to modify the script according to your needs and integrate it into your computer vision projects.
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