tensorflow/models · error · ValueError

Can only use image and boxes input for DeepMaskRCNNModel, Fo

Error message

Can only use image and boxes input for DeepMaskRCNNModel, Found {}

What it means

Error "Can only use image and boxes input for DeepMaskRCNNModel, Found {}" thrown in tensorflow/models.

Source

Thrown at official/projects/deepmac_maskrcnn/serving/detection.py:93

  @tf.function
  def inference_for_tflite_image_and_boxes(
      self, images: tf.Tensor, boxes: tf.Tensor) -> Mapping[str, tf.Tensor]:
    """A tf-function for serve_image_and_boxes.

    Args:
      images: A [batch_size, height, width, channels] float tensor.
      boxes: A [batch_size, num_boxes, 4] float tensor containing boxes
        normalized to the input image.

    Returns:
      result: A dict containing:
        'detection_masks': A [batch_size, num_boxes, mask_height, mask_width]
          float tensor containing per-pixel mask probabilities.
    """

    if not isinstance(self.model, maskrcnn_model.DeepMaskRCNNModel):
      raise ValueError(
          ('Can only use image and boxes input for DeepMaskRCNNModel, '
           'Found {}'.format(type(self.model))))

    return self.serve_image_and_boxes(images, boxes)

  def serve_image_and_boxes(self, images: tf.Tensor, boxes: tf.Tensor):
    """Function used to export a model that consumes and image and boxes.

    The model predicts the class-agnostic masks at the given box locations.

    Args:
      images: A [batch_size, height, width, channels] float tensor.
      boxes: A [batch_size, num_boxes, 4] float tensor containing boxes
        normalized to the input image.

    Returns:
      result: A dict containing:
        'detection_masks': A [batch_size, num_boxes, mask_height, mask_width]

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/deepmac_maskrcnn/serving/detection.py:93 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/81bca46f3c3942f1. Report an issue: GitHub.