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def warp_image(image, src_points, dst_size):
    dst_points = np.array([[0, 0], [dst_size[0] - 1, 0], [dst_size[0] - 1, dst_size[1] - 1], [0, dst_size[1] - 1]], dtype=np.float32)
    M = cv2.getPerspectiveTransform(src_points, dst_points)
    warped_image = cv2.warpPerspective(image, M, dst_size, flags=cv2.INTER_CUBIC)
    return warped_image

def find_corners(points):
    # Sort points based on their x-coordinates
    points.sort(key=lambda p: p[0])

    # Split the sorted points into two groups: leftmost and rightmost
    leftmost = points[:2]
    rightmost = points[2:]

    # Sort the leftmost and rightmost points based on their y-coordinates
    leftmost.sort(key=lambda p: p[1])
    rightmost.sort(key=lambda p: p[1])

    # Return the corners in the order: top-left, top-right, bottom-right, bottom-left
    return [leftmost[0], rightmost[0], rightmost[1], leftmost[1]]