def cutout()

in data.py [0:0]

• 27 lines of code
• 4 McCabe index (conditional complexity)

def cutout(mask_color=(0, 0, 0)):
    mask_size_half = FLAGS.cutout_mask_size // 2
    offset = 1 if FLAGS.cutout_mask_size % 2 == 0 else 0

    def _cutout(image):
        image = np.asarray(image).copy()

        if np.random.random() > FLAGS.cutout_prob:
            return image

        h, w = image.shape[:2]

        if FLAGS.cutout_inside:
            cxmin, cxmax = mask_size_half, w + offset - mask_size_half
            cymin, cymax = mask_size_half, h + offset - mask_size_half
        else:
            cxmin, cxmax = 0, w + offset
            cymin, cymax = 0, h + offset

        cx = np.random.randint(cxmin, cxmax)
        cy = np.random.randint(cymin, cymax)
        xmin = cx - mask_size_half
        ymin = cy - mask_size_half
        xmax = xmin + FLAGS.cutout_mask_size
        ymax = ymin + FLAGS.cutout_mask_size
        xmin = max(0, xmin)
        ymin = max(0, ymin)
        xmax = min(w, xmax)
        ymax = min(h, ymax)
        image[:, ymin:ymax, xmin:xmax] = np.array(mask_color)[:, None, None]
        return image

    return _cutout