def resize_to_target()

in utils/image_io.py [0:0]

• 22 lines of code
• 7 McCabe index (conditional complexity)

def resize_to_target(image, max_size, align=1, suppress_messages=False):
    if not suppress_messages:
        print("Original size: %d x %d" % (image.shape[1], image.shape[0]))

    H, W = image.shape[:2]
    long_side = float(max(W, H))
    scale = min(1.0, max_size / long_side)
    resized_height = int(H * scale)
    resized_width = int(W * scale)
    if resized_width % align != 0:
        resized_width = align * round(resized_width / align)
        if not suppress_messages:
            print("Rounding width to closest multiple of %d." % align)
    if resized_height % align != 0:
        resized_height = align * round(resized_height / align)
        if not suppress_messages:
            print("Rounding height to closest multiple of %d." % align)

    if not suppress_messages:
        print("Resized: %d x %d" % (resized_width, resized_height))
    image = cv2.resize(
        image, (resized_width, resized_height), interpolation=cv2.INTER_AREA
    )
    return image