def mask_and_add_image(
      min_y_, min_x_, max_y_, max_x_, mask, content_tensor, image_):
    """Applies mask to bbox region in image then adds content_tensor to it."""
    mask = tf.pad(mask,
                  [[min_y_, (image_height - 1) - max_y_],
                   [min_x_, (image_width - 1) - max_x_],
                   [0, 0]], constant_values=1)
    content_tensor = tf.pad(content_tensor,
                            [[min_y_, (image_height - 1) - max_y_],
                             [min_x_, (image_width - 1) - max_x_],
                             [0, 0]], constant_values=0)
    return image_ * mask + content_tensor
Applies mask to bbox region in image then adds content_tensor to it.
inference_api/src/main/object_detection/utils/autoaugment_utils.py