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    To fill contours in an image using OpenCV in Python, you can use the cv2.drawContours or cv2.fillPoly functions. These functions allow you to fill the area bounded by one or more polygons.

    Example using cv2.drawContours

    import cv2
    import numpy as np

    # Create a black image
    img = np.zeros((200, 200), dtype=np.uint8)

    # Define a contour (a square in this case)
    contour = np.array([[50, 50], [50, 150], [150, 150], [150, 50]])

    # Draw and fill the contour
    cv2.drawContours(img, [contour], -1, (255), thickness=cv2.FILLED)

    # Display the image
    cv2.imshow("Filled Contour", img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    Example using cv2.fillPoly

    import cv2
    import numpy as np

    # Create a black image
    img = np.zeros((200, 200), dtype=np.uint8)

    # Define a contour (a square in this case)
    contour = np.array([[50, 50], [50, 150], [150, 150], [150, 50]])

    # Fill the contour
    cv2.fillPoly(img, [contour], (255))

    # Display the image
    cv2.imshow("Filled Contour", img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    Note: The cv2.drawContours function with thickness=cv2.FILLED and the cv2.fillPoly function both effectively fill the contours.

    These methods are efficient and work well for filling closed contours in binary images. If you need to fill holes within contours, consider using flood fill techniques.

    Continue reading
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