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Types & classes68 in github.com/STVIR/pysot

⨍ Functions 342◇ Types & classes 68
↓ 5 callersClassModelBuilder
pysot/models/model_builder.py:18
↓ 4 callersClassAverageMeter
Computes and stores the average and current value
pysot/utils/average_meter.py:24
↓ 4 callersClassCOCO
training_dataset/coco/pycocotools/coco.py:75
↓ 4 callersClassOPEBenchmark
Args: result_path: result path of your tracker should the same format like VOT
toolkit/evaluation/ope_benchmark.py:7
↓ 3 callersClassResNet
pysot/models/backbone/resnet_atrous.py:113
↓ 2 callersClassAdjustLayer
pysot/models/neck/neck.py:11
↓ 2 callersClassAnchors
This class generate anchors.
pysot/utils/anchor.py:15
↓ 2 callersClassAugmentation
pysot/datasets/augmentation.py:15
↓ 2 callersClassDepthwiseXCorr
pysot/models/head/rpn.py:54
↓ 2 callersClassFilter
pysot/utils/log_helper.py:25
↓ 2 callersClassInvertedResidual
pysot/models/backbone/mobile_v2.py:26
↓ 2 callersClassLaSOTDataset
Args: name: dataset name, should be 'OTB100', 'CVPR13', 'OTB50' dataset_root: dataset root load_img: wether to load all i
toolkit/datasets/lasot.py:57
↓ 2 callersClassMeter
pysot/utils/average_meter.py:9
↓ 2 callersClassNFSDataset
Args: name: dataset name, should be "NFS30" or "NFS240" dataset_root, dataset root dir
toolkit/datasets/nfs.py:52
↓ 2 callersClassOTBDataset
Args: name: dataset name, should be 'OTB100', 'CVPR13', 'OTB50' dataset_root: dataset root load_img: wether to load all i
toolkit/datasets/otb.py:78
↓ 2 callersClassUAVDataset
Args: name: dataset name, should be 'UAV123', 'UAV20L' dataset_root: dataset root load_img: wether to load all imgs
toolkit/datasets/uav.py:27
↓ 2 callersClassVOTDataset
Args: name: dataset name, should be 'VOT2018', 'VOT2016', 'VOT2019' dataset_root: dataset root load_img: wether to load a
toolkit/datasets/vot.py:91
↓ 2 callersClassVOTLTDataset
Args: name: dataset name, 'VOT2018-LT' dataset_root: dataset root load_img: wether to load all imgs
toolkit/datasets/vot.py:176
↓ 1 callersClassAccuracyRobustnessBenchmark
Args: dataset: burnin:
toolkit/evaluation/ar_benchmark.py:12
↓ 1 callersClassAlexNet
pysot/models/backbone/alexnet.py:41
↓ 1 callersClassAlexNetLegacy
pysot/models/backbone/alexnet.py:9
↓ 1 callersClassAnchorTarget
pysot/datasets/anchor_target.py:15
↓ 1 callersClassDepthwiseRPN
pysot/models/head/rpn.py:83
↓ 1 callersClassDistModule
pysot/utils/distributed.py:31
↓ 1 callersClassEAOBenchmark
Args: dataset:
toolkit/evaluation/eao_benchmark.py:9
↓ 1 callersClassF1Benchmark
toolkit/evaluation/f1_benchmark.py:10
↓ 1 callersClassGOT10kDataset
Args: name: dataset name, should be "NFS30" or "NFS240" dataset_root, dataset root dir
toolkit/datasets/got10k.py:50
↓ 1 callersClassGOT10kVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/got10k.py:10
↓ 1 callersClassLaSOTVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/lasot.py:11
↓ 1 callersClassLogOnce
pysot/utils/log_helper.py:132
↓ 1 callersClassMobileNetV2
pysot/models/backbone/mobile_v2.py:60
↓ 1 callersClassNFSVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/nfs.py:12
↓ 1 callersClassNet
pysot/utils/lr_scheduler.py:159
↓ 1 callersClassOTBVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/otb.py:13
↓ 1 callersClassParams
Params for coco evaluation api
training_dataset/coco/pycocotools/cocoeval.py:499
↓ 1 callersClassSubDataset
pysot/datasets/dataset.py:30
↓ 1 callersClassTrackingNetDataset
Args: name: dataset name, should be "NFS30" or "NFS240" dataset_root, dataset root dir
toolkit/datasets/trackingnet.py:51
↓ 1 callersClassTrackingNetVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/trackingnet.py:11
↓ 1 callersClassTrkDataset
pysot/datasets/dataset.py:141
↓ 1 callersClassUAVVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/uav.py:10
↓ 1 callersClassVOTLTVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/vot.py:125
↓ 1 callersClassVOTVideo
Args: name: video name root: dataset root video_dir: video directory init_rect: init rectangle img_names:
toolkit/datasets/vot.py:13
↓ 1 callersClassWarmUPScheduler
pysot/utils/lr_scheduler.py:115
ClassAdjustAllLayer
pysot/models/neck/neck.py:29
ClassBaseTracker
Base tracker of single objec tracking
pysot/tracker/base_tracker.py:15
ClassBasicBlock
pysot/models/backbone/resnet_atrous.py:16
ClassBottleneck
pysot/models/backbone/resnet_atrous.py:62
ClassCOCOeval
training_dataset/coco/pycocotools/cocoeval.py:10
ClassCosStepScheduler
pysot/utils/lr_scheduler.py:99
ClassDataset
toolkit/datasets/dataset.py:3
ClassDatasetFactory
toolkit/datasets/__init__.py:9
ClassDummy
pysot/utils/log_helper.py:33
ClassLRScheduler
pysot/utils/lr_scheduler.py:16
ClassLinearStepScheduler
pysot/utils/lr_scheduler.py:90
ClassLogScheduler
pysot/utils/lr_scheduler.py:35
ClassMaskCorr
pysot/models/head/mask.py:15
ClassMultiRPN
pysot/models/head/rpn.py:95
ClassMultiStepScheduler
pysot/utils/lr_scheduler.py:64
ClassRPN
pysot/models/head/rpn.py:15
ClassRefine
pysot/models/head/mask.py:30
ClassSiamMaskTracker
pysot/tracker/siammask_tracker.py:16
ClassSiamRPNLTTracker
pysot/tracker/siamrpnlt_tracker.py:14
ClassSiamRPNTracker
pysot/tracker/siamrpn_tracker.py:16
ClassSiameseTracker
pysot/tracker/base_tracker.py:37
ClassStepScheduler
pysot/utils/lr_scheduler.py:48
ClassUPChannelRPN
pysot/models/head/rpn.py:22
ClassVOT
Base class for Python VOT integration
vot_iter/vot.py:25
ClassVideo
toolkit/datasets/video.py:9