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06.Image translation

Image translation

Image translation1. Implementation principle2. Implementation effect3. Implementation code

1. Implementation principle

Use cv2.warpAffine() function to perform affine transformation (translation, rotation, scaling and shearing) on the image.

2. Implementation effect


cd ~/opencv


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python3 06.image_translate.py

Note: Select the image and press q to exit the program!

3. Implementation code


x
import cv2
import numpy as np
def translate_image(input_path, output_path, tx, ty):
    image = cv2.imread(input_path)
    if image is None:
        print("Error: Unable to open image file.")
        return
    M = np.float32([[1, 0, tx], [0, 1, ty]])
    shifted_image = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))
    if cv2.imwrite(output_path, shifted_image):
        print(f"Image saved to {output_path}")
        cv2.imshow('Image Preview', cv2.imread(output_path))
        cv2.waitKey(0)
        cv2.destroyAllWindows()
    else:
        print("Error: Unable to save image file.")
translate_image('/home/jetson/opencv/images/yahboom_logo.png', \
                '/home/jetson/opencv/images/yahboom_logo_translate.png', \
                50, 50)

Image cropping

Image mirroring