Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/ChenhongyiYang/QueryDet-PyTorch
/ types & classes
Types & classes
24 in github.com/ChenhongyiYang/QueryDet-PyTorch
⨍
Functions
164
◇
Types & classes
24
↓ 3 callers
Class
GPUTimeEvaluator
utils/time_evaluator.py:9
↓ 3 callers
Class
MergedSyncBatchNorm
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 callers
Class
COCOEvaluatorFPN
utils/coco_eval_fpn.py:62
↓ 2 callers
Class
JsonEvaluator
utils/json_evaluator.py:17
↓ 2 callers
Class
LoopMatcher
utils/loop_matcher.py:6
↓ 2 callers
Class
Mapper
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 callers
Class
AnchorGeneratorWithCenter
utils/anchor_gen.py:11
↓ 1 callers
Class
Json2Txt
visdrone/json_to_txt.py:9
↓ 1 callers
Class
RetinaNetHead
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 callers
Class
SoftNMSer
utils/soft_nms.py:139
↓ 1 callers
Class
Trainer
train_tools/visdrone_infer.py:51
↓ 1 callers
Class
Trainer
train_tools/visdrone_train.py:63
↓ 1 callers
Class
Trainer
train_tools/coco_infer.py:56
↓ 1 callers
Class
Trainer
train_tools/coco_train.py:59
↓ 1 callers
Class
ValMapper
COCO validation mapper, with annotations
utils/val_mapper_with_ann.py:14
Class
AllReduce
utils/merged_sync_bn.py:13
Class
CheckpointFunction
utils/gradient_checkpoint.py:55
Class
Head_3x3
models/querydet/det_head.py:91
Class
Head_3x3_MergeBN
models/querydet/det_head.py:266
Class
QueryInfer
models/querydet/qinfer.py:24
Class
RetinaNetHead_3x3
models/querydet/det_head.py:27
Class
RetinaNetHead_3x3_MergeBN
models/querydet/det_head.py:132
Class
RetinaNetQueryDet
Implement Our QueryDet
models/querydet/detector.py:69
Class
RetinaNet_D2
Implement RetinaNet in :paper:`RetinaNet`.
models/retinanet/retinanet.py:71