tensorflow/models · error · ValueError

segmentation_groundtruth_padded_size ([height, width]) needs

Error message

segmentation_groundtruth_padded_size ([height, width]) needs to bespecified when segmentation_resize_eval_groundtruth is False.

What it means

Error "segmentation_groundtruth_padded_size ([height, width]) needs to bespecified when segmentation_resize_eval_groundtruth is False." thrown in tensorflow/models.

Source

Thrown at official/projects/maskconver/dataloaders/panoptic_maskrcnn_input.py:193

        anchor_size=anchor_size,
        rpn_match_threshold=rpn_match_threshold,
        rpn_unmatched_threshold=rpn_unmatched_threshold,
        rpn_batch_size_per_im=rpn_batch_size_per_im,
        rpn_fg_fraction=rpn_fg_fraction,
        aug_rand_hflip=False,
        aug_scale_min=aug_scale_min,
        aug_scale_max=aug_scale_max,
        skip_crowd_during_training=skip_crowd_during_training,
        max_num_instances=max_num_instances,
        include_mask=True,
        mask_crop_size=mask_crop_size,
        dtype=dtype)

    self.aug_rand_hflip = aug_rand_hflip
    self._segmentation_resize_eval_groundtruth = segmentation_resize_eval_groundtruth
    if (not segmentation_resize_eval_groundtruth) and (
        segmentation_groundtruth_padded_size is None):
      raise ValueError(
          'segmentation_groundtruth_padded_size ([height, width]) needs to be'
          'specified when segmentation_resize_eval_groundtruth is False.')
    self._segmentation_groundtruth_padded_size = segmentation_groundtruth_padded_size
    self._segmentation_ignore_label = segmentation_ignore_label
    self._panoptic_ignore_label = panoptic_ignore_label
    self._include_panoptic_masks = include_panoptic_masks
    self.level = level
    self._num_panoptic_categories = num_panoptic_categories
    self._num_thing_categories = num_thing_categories
    self._gaussian_iou = gaussian_iou
    self._max_num_stuff_centers = max_num_stuff_centers

    if aug_type and aug_type.type:
      if aug_type.type == 'autoaug':
        self._augmenter = augment.AutoAugment(
            augmentation_name=aug_type.autoaug.augmentation_name,
            cutout_const=aug_type.autoaug.cutout_const,
            translate_const=aug_type.autoaug.translate_const)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/maskconver/dataloaders/panoptic_maskrcnn_input.py:193 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/81a67d00242518e8. Report an issue: GitHub.