tensorflow/models · error · ValueError

Image_shape should not be None for evaluation.

Error message

Image_shape should not be None for evaluation.

What it means

Error "Image_shape should not be None for evaluation." thrown in tensorflow/models.

Source

Thrown at official/projects/pointpillars/modeling/models.py:88

      generate_detections: bool = False) -> Mapping[str, Any]:
    if not raw_attributes:
      raise ValueError('PointPillars model needs attribute heads.')
    # Clap heading to [-pi, pi]
    if 'heading' in raw_attributes:
      raw_attributes['heading'] = utils.clip_heading(raw_attributes['heading'])

    outputs = {
        'cls_outputs': raw_scores,
        'box_outputs': raw_boxes,
        'attribute_outputs': raw_attributes,
    }
    # Cast raw prediction to float32 for loss calculation.
    outputs = tf.nest.map_structure(lambda x: tf.cast(x, tf.float32), outputs)
    if not generate_detections:
      return outputs

    if image_shape is None:
      raise ValueError('Image_shape should not be None for evaluation.')
    if anchor_boxes is None:
      # Generate anchors if needed.
      anchor_boxes = utils.generate_anchors(
          self._min_level,
          self._max_level,
          self._image_size,
          self._anchor_sizes,
      )
      for l in anchor_boxes:
        anchor_boxes[l] = tf.tile(
            tf.expand_dims(anchor_boxes[l], axis=0),
            [tf.shape(image_shape)[0], 1, 1, 1])

    # Generate detected boxes.
    if not self._detection_generator.get_config()['apply_nms']:
      raise ValueError('An NMS algorithm is required for detection generator')
    detections = self._detection_generator(raw_boxes, raw_scores,
                                           anchor_boxes, image_shape,

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/pointpillars/modeling/models.py:88 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/b2c746b021c605ab. Report an issue: GitHub.