keypoint_ops.py 文件源码

def to_absolute_coordinates(keypoints, height, width,
                            check_range=True, scope=None):
  """Converts normalized keypoint coordinates to absolute pixel coordinates.

  This function raises an assertion failed error when the maximum keypoint
  coordinate value is larger than 1.01 (in which case coordinates are already
  absolute).

  Args:
    keypoints: A tensor of shape [num_instances, num_keypoints, 2]
    height: Maximum value for y coordinate of absolute keypoint coordinates.
    width: Maximum value for x coordinate of absolute keypoint coordinates.
    check_range: If True, checks if the coordinates are normalized or not.
    scope: name scope.

  Returns:
    tensor of shape [num_instances, num_keypoints, 2] with absolute coordinates
    in terms of the image size.

  """
  with tf.name_scope(scope, 'ToAbsoluteCoordinates'):
    height = tf.cast(height, tf.float32)
    width = tf.cast(width, tf.float32)

    # Ensure range of input keypoints is correct.
    if check_range:
      max_val = tf.reduce_max(keypoints)
      max_assert = tf.Assert(tf.greater_equal(1.01, max_val),
                             ['maximum keypoint coordinate value is larger '
                              'than 1.01: ', max_val])
      with tf.control_dependencies([max_assert]):
        width = tf.identity(width)

    return scale(keypoints, height, width)