tensorflow/models · error · ValueError

Last dimension of boxes must be 4 but is {:d}

Error message

Last dimension of boxes must be 4 but is {:d}

What it means

Error "Last dimension of boxes must be 4 but is {:d}" thrown in tensorflow/models.

Source

Thrown at official/vision/ops/box_ops.py:67

  return new_boxes


def yxyx_to_cycxhw(boxes):
  """Converts box corner coordinates to center plus height and width terms.

  Args:
    boxes: a `Tensor` with last dimension of 4, representing the coordinates of
      boxes in ymin, xmin, ymax, xmax order.

  Returns:
    boxes: a `Tensor` with the same shape as the inputted boxes, in the format
      of cy, cx, height, width.

  Raises:
    ValueError: if the last dimension of boxes is not 4.
  """
  if boxes.shape[-1] != 4:
    raise ValueError('Last dimension of boxes must be 4 but is {:d}'.format(
        boxes.shape[-1]))

  boxes_ycenter = (boxes[..., 0] + boxes[..., 2]) / 2
  boxes_xcenter = (boxes[..., 1] + boxes[..., 3]) / 2
  boxes_height = boxes[..., 2] - boxes[..., 0]
  boxes_width = boxes[..., 3] - boxes[..., 1]

  new_boxes = tf.stack(
      [boxes_ycenter, boxes_xcenter, boxes_height, boxes_width], axis=-1)
  return new_boxes


def cycxhw_to_yxyx(boxes):
  """Converts box center coordinates plus height and width terms to corner.

  Args:
    boxes: a numpy array whose last dimension is 4 representing the coordinates
      of boxes in cy, cx, height, width order.

View on GitHub (pinned to e006f5f0d5)

Solutions

1. Pass boxes whose last dimension is 4.
2. Decode or trim the box tensor to 4 coordinates per box.

When it happens

Trigger: Thrown at official/vision/ops/box_ops.py:67 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/6da5d9006e65a409. Report an issue: GitHub.