When attempting to paste an overlay onto a background in Python, an Opencv assert error occurs because of an attempt to enlarge the size of the overlay.

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This error occurs because the size of the overlay is larger than the size of the background. When trying to enlarge the overlay to fit the background size, the assertion fails because it requires more memory than is available.

To fix this error, you can resize the overlay to match the size of the background using the resize() function in OpenCV. Here is an example of how to do this:

import cv2

# Load background and overlay images
background = cv2.imread("background.jpg")
overlay = cv2.imread("overlay.png")

# Resize overlay to match background size
overlay = cv2.resize(overlay, (background.shape[1], background.shape[0]))

# Add the overlay to the background
result = cv2.addWeighted(background, 1, overlay, 0.5, 0)

# Show the result
cv2.imshow("Result", result)
cv2.waitKey(0)
cv2.destroyAllWindows()

In this example, the overlay image is resized to match the size of the background using the shape() function to get the height and width of the background. The resize() function is then used to resize the overlay image to match the background size.

With the overlay resized, it can be added to the background image using the addWeighted() function in OpenCV. The resulting image is then displayed using imshow() and a waitKey() function is used to keep the window open until the user closes it. Finally, the window is destroyed using the destroyAllWindows() function.