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# Copyright (c) OpenMMLab. All rights reserved.
from .bbox_overlaps import bbox_overlaps
from .cityscapes_utils import evaluateImgLists
from .class_names import (cityscapes_classes, coco_classes,
coco_panoptic_classes, dataset_aliases, get_classes,
imagenet_det_classes, imagenet_vid_classes,
objects365v1_classes, objects365v2_classes,
oid_challenge_classes, oid_v6_classes, voc_classes)
from .mean_ap import average_precision, eval_map, print_map_summary
from .panoptic_utils import (INSTANCE_OFFSET, pq_compute_multi_core,
pq_compute_single_core)
from .recall import (eval_recalls, plot_iou_recall, plot_num_recall,
print_recall_summary)
from .ytvis import YTVIS
from .ytviseval import YTVISeval
__all__ = [
'voc_classes', 'imagenet_det_classes', 'imagenet_vid_classes',
'coco_classes', 'cityscapes_classes', 'dataset_aliases', 'get_classes',
'average_precision', 'eval_map', 'print_map_summary', 'eval_recalls',
'print_recall_summary', 'plot_num_recall', 'plot_iou_recall',
'oid_v6_classes', 'oid_challenge_classes', 'INSTANCE_OFFSET',
'pq_compute_single_core', 'pq_compute_multi_core', 'bbox_overlaps',
'objects365v1_classes', 'objects365v2_classes', 'coco_panoptic_classes',
'evaluateImgLists', 'YTVIS', 'YTVISeval'
]
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