tensorflow/models · error · ValueError

groundtruth_padded_size ([height, width]) needs to bespecifi

Error message

groundtruth_padded_size ([height, width]) needs to bespecified when resize_eval_groundtruth is False.

What it means

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

Source

Thrown at official/vision/dataloaders/segmentation_input.py:117

      aug_scale_min: `float`, the minimum scale applied to `output_size` for
        data augmentation during training.
      aug_scale_max: `float`, the maximum scale applied to `output_size` for
        data augmentation during training.
      dtype: `str`, data type. One of {`bfloat16`, `float32`, `float16`}.
      image_feature: the config for the image input (usually RGB). Defaults to
        the config for a 3-channel image with key = `image/encoded` and ImageNet
        dataset mean/stddev.
      additional_dense_features: `list` of DenseFeatureConfig for additional
        dense features.
      centered_crop: If `centered_crop` is set to True, then resized crop (if
        smaller than padded size) is place in the center of the image. Default
        behaviour is to place it at left top corner.
    """
    self._output_size = output_size
    self._crop_size = crop_size
    self._resize_eval_groundtruth = resize_eval_groundtruth
    if (not resize_eval_groundtruth) and (groundtruth_padded_size is None):
      raise ValueError(
          'groundtruth_padded_size ([height, width]) needs to be'
          'specified when resize_eval_groundtruth is False.'
      )
    self._gt_is_matting_map = gt_is_matting_map
    self._groundtruth_padded_size = groundtruth_padded_size
    self._ignore_label = ignore_label
    self._preserve_aspect_ratio = preserve_aspect_ratio

    # Data augmentation.
    self._aug_rand_hflip = aug_rand_hflip
    self._aug_scale_min = aug_scale_min
    self._aug_scale_max = aug_scale_max

    # dtype.
    self._dtype = dtype

    self._image_feature = image_feature
    self._additional_dense_features = additional_dense_features

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/vision/dataloaders/segmentation_input.py:117 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/ba14cd032481c092. Report an issue: GitHub.