tensorflow/models · error · ValueError

Image should be 3D tensor

Error message

Image should be 3D tensor

What it means

Error "Image should be 3D tensor" thrown in tensorflow/models.

Source

Thrown at official/projects/centernet/ops/preprocess_ops.py:271

      padding. By default pads zeros.

  Returns:
    Note that the position of the resized_image_shape changes based on whether
    masks are present.
    resized_image: A 3D tensor of shape [new_height, new_width, channels],
      where the image has been resized (with bilinear interpolation) so that
      min(new_height, new_width) == min_dimension or
      max(new_height, new_width) == max_dimension.
    resized_masks: If masks is not None, also outputs masks. A 3D tensor of
      shape [num_instances, new_height, new_width].
    resized_image_shape: A 1D tensor of shape [3] containing shape of the
      resized image.

  Raises:
    ValueError: if the image is not a 3D tensor.
  """
  if len(image.get_shape()) != 3:
    raise ValueError('Image should be 3D tensor')

  def _resize_landscape_image(image):
    # resize a landscape image
    return tf.image.resize(
        image, tf.stack([min_dimension, max_dimension]), method=method,
        preserve_aspect_ratio=True)

  def _resize_portrait_image(image):
    # resize a portrait image
    return tf.image.resize(
        image, tf.stack([max_dimension, min_dimension]), method=method,
        preserve_aspect_ratio=True)

  with tf.name_scope('ResizeToRange'):
    if image.get_shape().is_fully_defined():
      if image.get_shape()[0] < image.get_shape()[1]:
        new_image = _resize_landscape_image(image)
      else:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/centernet/ops/preprocess_ops.py:271 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/dc4510c87a8de8bd. Report an issue: GitHub.