def _clip_bbox(min_y, min_x, max_y, max_x):
    'Clip bounding box coordinates between 0 and 1.\n\n  Args:\n    min_y: Normalized bbox coordinate of type float between 0 and 1.\n    min_x: Normalized bbox coordinate of type float between 0 and 1.\n    max_y: Normalized bbox coordinate of type float between 0 and 1.\n    max_x: Normalized bbox coordinate of type float between 0 and 1.\n\n  Returns:\n    Clipped coordinate values between 0 and 1.\n  '
    min_y = tf.clip_by_value(min_y, 0.0, 1.0)
    min_x = tf.clip_by_value(min_x, 0.0, 1.0)
    max_y = tf.clip_by_value(max_y, 0.0, 1.0)
    max_x = tf.clip_by_value(max_x, 0.0, 1.0)
    return (min_y, min_x, max_y, max_x)
Clip bounding box coordinates between 0 and 1.

Args:
  min_y: Normalized bbox coordinate of type float between 0 and 1.
  min_x: Normalized bbox coordinate of type float between 0 and 1.
  max_y: Normalized bbox coordinate of type float between 0 and 1.
  max_x: Normalized bbox coordinate of type float between 0 and 1.

Returns:
  Clipped coordinate values between 0 and 1.
def _clip_bbox(min_y, min_x, max_y, max_x):
    'Clip bounding box coordinates between 0 and 1.\n\n  Args:\n    min_y: Normalized bbox coordinate of type float between 0 and 1.\n    min_x: Normalized bbox coordinate of type float between 0 and 1.\n    max_y: Normalized bbox coordinate of type float between 0 and 1.\n    max_x: Normalized bbox coordinate of type float between 0 and 1.\n\n  Returns:\n    Clipped coordinate values between 0 and 1.\n  '
    min_y = tf.clip_by_value(min_y, 0.0, 1.0)
    min_x = tf.clip_by_value(min_x, 0.0, 1.0)
    max_y = tf.clip_by_value(max_y, 0.0, 1.0)
    max_x = tf.clip_by_value(max_x, 0.0, 1.0)
    return (min_y, min_x, max_y, max_x)