tensorflow/models · error · ValueError

Entity ID overflow: {entity_id}. Currently only entity_id<65

Error message

Entity ID overflow: {entity_id}. Currently only entity_id<65536 are supported.

What it means

Error "Entity ID overflow: {entity_id}. Currently only entity_id<65536 are supported." thrown in tensorflow/models.

Source

Thrown at official/projects/unified_detector/data_conversion/utils.py:112

      `annotation_to_entities`.
    image_shape: The shape of the input image.
  Returns:
    A (H, W, 3) entity id mask of the same height/width as the image. Each pixel
    (i, j, :) encodes the entity id of one pixel. Only word entities are
    rendered. 0 for non-text pixels; word entity ids start from 1.
  """
  instance_mask = np.zeros(image_shape, dtype=np.uint8)
  for i, entity in enumerate(entities):
    # only draw word masks
    if entity['type'] != 1:
      continue
    vertices = np.array(entity['vertices'])
    # the pixel value is actually 1 + position in entities
    entity_id = i + 1
    if entity_id >= 65536:
      # As entity_id is encoded in the last two channels, it should be less than
      # 256**2=65536.
      raise ValueError(
          (f'Entity ID overflow: {entity_id}. Currently only entity_id<65536 '
           'are supported.'))

    # use the last two channels to encode the entity id.
    color = [0, entity_id // 256, entity_id % 256]
    instance_mask = cv2.fillPoly(instance_mask,
                                 [np.round(vertices).astype('int32')], color)
  return instance_mask


def convert_to_tfe(img_file_name: str,
                   annotation: Dict[str, Any]) -> tf.train.Example:
  """Convert the annotation dict into a TFExample."""

  img = cv2.imread(img_file_name)
  img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
  h, w, c = img.shape
  encoded_img = encode_image(img)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/unified_detector/data_conversion/utils.py:112 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/f907ea33d07ee3bf. Report an issue: GitHub.