tensorflow/models · error · ValueError
pool_boxes must be a BoxList
Error message
pool_boxes must be a BoxList
What it means
Error "pool_boxes must be a BoxList" thrown in tensorflow/models.
Source
Thrown at official/vision/utils/object_detection/box_list_ops.py:894
nms_iou_thresh: (float scalar) iou threshold for non max suppression (NMS).
nms_max_detections: (int scalar) maximum output size for NMS.
voting_iou_thresh: (float scalar) iou threshold for box voting.
Returns:
BoxList of refined boxes.
Raises:
ValueError: if
a) nms_iou_thresh or voting_iou_thresh is not in [0, 1].
b) pool_boxes is not a BoxList.
c) pool_boxes does not have a scores and classes field.
"""
if not 0.0 <= nms_iou_thresh <= 1.0:
raise ValueError('nms_iou_thresh must be between 0 and 1')
if not 0.0 <= voting_iou_thresh <= 1.0:
raise ValueError('voting_iou_thresh must be between 0 and 1')
if not isinstance(pool_boxes, box_list.BoxList):
raise ValueError('pool_boxes must be a BoxList')
if not pool_boxes.has_field('scores'):
raise ValueError('pool_boxes must have a \'scores\' field')
if not pool_boxes.has_field('classes'):
raise ValueError('pool_boxes must have a \'classes\' field')
refined_boxes = []
for i in range(num_classes):
boxes_class = filter_field_value_equals(pool_boxes, 'classes', i)
refined_boxes_class = refine_boxes(boxes_class, nms_iou_thresh,
nms_max_detections, voting_iou_thresh)
refined_boxes.append(refined_boxes_class)
return sort_by_field(concatenate(refined_boxes), 'scores')
def refine_boxes(pool_boxes,
nms_iou_thresh,
nms_max_detections,
voting_iou_thresh=0.5):View on GitHub (pinned to e006f5f0d5)
Solutions
- Pass pool_boxes as a BoxList instance.
- Wrap your boxes in box_list.BoxList(boxes) first.
When it happens
Trigger: Thrown at official/vision/utils/object_detection/box_list_ops.py:894 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/738fab6ca7102869.
Report an issue: GitHub.