tensorflow/models · error · ValueError

Number of channels must be equal to the length of per-channe

Error message

Number of channels must be equal to the length of per-channel pad value.

What it means

Error "Number of channels must be equal to the length of per-channel pad value." thrown in tensorflow/models.

Source

Thrown at official/projects/centernet/ops/preprocess_ops.py:302

  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:
        new_image = _resize_portrait_image(image)
      new_size = tf.constant(new_image.get_shape().as_list())
    else:
      new_image = tf.cond(
          tf.less(tf.shape(image)[0], tf.shape(image)[1]),
          lambda: _resize_landscape_image(image),
          lambda: _resize_portrait_image(image))
      new_size = tf.shape(new_image)

    if pad_to_max_dimension:
      channels = tf.unstack(new_image, axis=2)
      if len(channels) != len(per_channel_pad_value):
        raise ValueError('Number of channels must be equal to the length of '
                         'per-channel pad value.')
      new_image = tf.stack(
          [
              tf.pad(  # pylint: disable=g-complex-comprehension
                  channels[i], [[0, max_dimension - new_size[0]],
                                [0, max_dimension - new_size[1]]],
                  constant_values=per_channel_pad_value[i])
              for i in range(len(channels))
          ],
          axis=2)
      new_image.set_shape([max_dimension, max_dimension, len(channels)])

    result = [new_image, new_size]
    if masks is not None:
      new_masks = tf.expand_dims(masks, 3)
      new_masks = tf.image.resize(
          new_masks,
          new_size[:-1],

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/centernet/ops/preprocess_ops.py:302 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/c9f5b65a145b3c75. Report an issue: GitHub.