tensorflow/models · error · ValueError

encoded_boxes_lrtb.shape[-1] is {:d}, but must be 4.

Error message

encoded_boxes_lrtb.shape[-1] is {:d}, but must be 4.

What it means

Error "encoded_boxes_lrtb.shape[-1] is {:d}, but must be 4." thrown in tensorflow/models.

Source

Thrown at official/legacy/detection/utils/box_utils.py:478

def decode_boxes_lrtb(encoded_boxes_lrtb, anchors, weights=None):
  """Decode boxes.

  Args:
    encoded_boxes_lrtb: a tensor whose last dimension is 4 representing the
      coordinates of encoded boxes in left, right, top, bottom order.
    anchors: a tensor whose shape is the same as, or `broadcastable` to `boxes`,
      representing the coordinates of anchors in ymin, xmin, ymax, xmax order.
    weights: None or a list of four float numbers used to scale coordinates.

  Returns:
    decoded_boxes_lrtb: a tensor whose shape is the same as `boxes` representing
      the decoded box targets in lrtb (=left,right,top,bottom) format. The box
      decoded box coordinates represent the left, right, top, and bottom
      distances from an anchor location to the four borders of the matched
      groundtruth bounding box.
  """
  if encoded_boxes_lrtb.shape[-1] != 4:
    raise ValueError(
        'encoded_boxes_lrtb.shape[-1] is {:d}, but must be 4.'
        .format(encoded_boxes_lrtb.shape[-1]))

  with tf.name_scope('decode_boxes_lrtb'):
    encoded_boxes_lrtb = tf.cast(encoded_boxes_lrtb, dtype=anchors.dtype)
    left = encoded_boxes_lrtb[..., 0:1]
    right = encoded_boxes_lrtb[..., 1:2]
    top = encoded_boxes_lrtb[..., 2:3]
    bottom = encoded_boxes_lrtb[..., 3:4]
    if weights:
      left /= weights[0]
      right /= weights[1]
      top /= weights[2]
      bottom /= weights[3]

    anchor_ymin = anchors[..., 0:1]
    anchor_xmin = anchors[..., 1:2]
    anchor_ymax = anchors[..., 2:3]

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/legacy/detection/utils/box_utils.py:478 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/4605223f2a91faf7. Report an issue: GitHub.