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Types & classes24 in github.com/ChenhongyiYang/QueryDet-PyTorch

↓ 3 callersClassGPUTimeEvaluator
utils/time_evaluator.py:9
↓ 3 callersClassMergedSyncBatchNorm
In PyTorch<=1.5, ``nn.SyncBatchNorm`` has incorrect gradient when the batch size on each worker is different. (e.g., when scale augmentat
utils/merged_sync_bn.py:27
↓ 2 callersClassCOCOEvaluatorFPN
utils/coco_eval_fpn.py:62
↓ 2 callersClassJsonEvaluator
utils/json_evaluator.py:17
↓ 2 callersClassLoopMatcher
utils/loop_matcher.py:6
↓ 2 callersClassMapper
A callable which takes a dataset dict in Detectron2 Dataset format, and map it into a format used by the model. This is the default call
visdrone/mapper.py:19
↓ 1 callersClassAnchorGeneratorWithCenter
utils/anchor_gen.py:11
↓ 1 callersClassJson2Txt
visdrone/json_to_txt.py:9
↓ 1 callersClassRetinaNetHead
The head used in RetinaNet for object classification and box regression. It has two subnets for the two tasks, with a common structure but se
models/retinanet/retinanet.py:432
↓ 1 callersClassSoftNMSer
utils/soft_nms.py:139
↓ 1 callersClassTrainer
train_tools/visdrone_infer.py:51
↓ 1 callersClassTrainer
train_tools/visdrone_train.py:63
↓ 1 callersClassTrainer
train_tools/coco_infer.py:56
↓ 1 callersClassTrainer
train_tools/coco_train.py:59
↓ 1 callersClassValMapper
COCO validation mapper, with annotations
utils/val_mapper_with_ann.py:14
ClassAllReduce
utils/merged_sync_bn.py:13
ClassCheckpointFunction
utils/gradient_checkpoint.py:55
ClassHead_3x3
models/querydet/det_head.py:91
ClassHead_3x3_MergeBN
models/querydet/det_head.py:266
ClassQueryInfer
models/querydet/qinfer.py:24
ClassRetinaNetHead_3x3
models/querydet/det_head.py:27
ClassRetinaNetHead_3x3_MergeBN
models/querydet/det_head.py:132
ClassRetinaNetQueryDet
Implement Our QueryDet
models/querydet/detector.py:69
ClassRetinaNet_D2
Implement RetinaNet in :paper:`RetinaNet`.
models/retinanet/retinanet.py:71