tensorflow/models · error · NotImplementedError

Not implemented!

Error message

Not implemented!

What it means

Error "Not implemented!" thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/dataloader/maskrcnn_parser.py:302

        'anchor_boxes': input_anchor.multilevel_boxes,
        'image_info': image_info,
        'rpn_score_targets': rpn_score_targets,
        'rpn_box_targets': rpn_box_targets,
    }
    inputs['gt_boxes'] = input_utils.pad_to_fixed_size(boxes,
                                                       self._max_num_instances,
                                                       -1)
    inputs['gt_classes'] = input_utils.pad_to_fixed_size(
        classes, self._max_num_instances, -1)
    if self._include_mask:
      inputs['gt_masks'] = input_utils.pad_to_fixed_size(
          masks, self._max_num_instances, -1)

    return inputs, labels

  def _parse_eval_data(self, data):
    """Parses data for evaluation."""
    raise NotImplementedError('Not implemented!')

  def _parse_predict_data(self, data):
    """Parses data for prediction.

    Args:
      data: the decoded tensor dictionary from TfExampleDecoder.

    Returns:
      A dictionary of {'images': image, 'labels': labels} where
        image: image tensor that is preproessed to have normalized value and
          dimension [output_size[0], output_size[1], 3]
        labels: a dictionary of tensors used for training. The following
          describes {key: value} pairs in the dictionary.
          source_ids: Source image id. Default value -1 if the source id is
            empty in the groundtruth annotation.
          image_info: a 2D `Tensor` that encodes the information of the image
            and the applied preprocessing. It is in the format of
            [[original_height, original_width], [scaled_height, scaled_width],

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/dataloader/maskrcnn_parser.py:302 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/4b26f0a7e2fddb6f. Report an issue: GitHub.