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Functions122 in github.com/BravoLu/OpenVehicleReID

⨍ Functions 122◇ Types & classes 42
↓ 12 callersMethodwrite
(self, msg)
utils/logging.py:28
↓ 11 callersMethod_load_json
(self, json_file)
dataset/base.py:15
↓ 6 callersMethodload
(self)
dataset/veri776.py:18
↓ 5 callersMethodfinish
(self)
utils/progress/progress/__init__.py:64
↓ 5 callersMethodnext
(self, n=1)
utils/progress/progress/__init__.py:67
↓ 5 callersFunctionsleep
()
utils/progress/test_progress.py:16
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
models/baseline.py:66
↓ 4 callersMethodflush
(self)
utils/logging.py:34
↓ 4 callersMethoditer
(self, it)
utils/progress/progress/__init__.py:75
↓ 4 callersMethodloadImage
(self)
visualization/visualize.py:145
↓ 4 callersMethodwrite
(self, s)
utils/progress/progress/helpers.py:37
↓ 3 callersMethodevaluate
(self, epoch, stats=None)
trainers/base.py:114
↓ 3 callersFunctionmkdir_if_missing
(dir_path)
utils/osutils.py:9
↓ 3 callersMethodpairwise_distance
x = torch.cat([features[q[-1]].unsqueeze(0) for q in self.query], dim=0) y = torch.cat([features[g[-1]].unsqueeze(0) for g in self.
evaluators/base.py:125
↓ 3 callersFunctionregister
(absdir, subdir, output, pattern = re.compile(r'([-\d]+)_c(\d)'), reset=True)
dataset/gen_market1501.py:6
↓ 2 callersMethod__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, degenerated_to_sgd=True)
utils/radam.py:7
↓ 2 callersMethod__init__
(self, message=None, **kwargs)
utils/progress/progress/helpers.py:25
↓ 2 callersMethod__init__
(self, last_stride=2, block=Bottleneck, layers=[3, 4, 6, 3])
models/baseline.py:52
↓ 2 callersMethod__setstate__
(self, state)
utils/radam.py:25
↓ 2 callersMethodcalculate_mAP_CMC
(self, distmat)
evaluators/base.py:146
↓ 2 callersMethodclose
(self)
utils/logging.py:40
↓ 2 callersMethodextract_features
Return: features: dicts of {'fname': feature} labels: dicts of {'fname': label}
evaluators/base.py:101
↓ 2 callersFunctionget_dataloader
(cfg, root ,quick_check=False)
dataset/dataloader.py:111
↓ 2 callersMethodload
(self)
dataset/base.py:12
↓ 2 callersFunctionsave_checkpoint
(state, is_best, fpath='checkpoint.pth')
utils/osutils.py:35
↓ 2 callersMethodstep
(self, closure=None)
utils/radam.py:28
↓ 2 callersMethodupdate
(self)
utils/progress/progress/__init__.py:58
↓ 2 callersMethodwriteln
(self, line)
utils/progress/progress/helpers.py:65
↓ 1 callersMethodCMC
(self, distmat, query_ids, gallery_ids, query_cams, gallery_cams, topk=100)
evaluators/base.py:186
↓ 1 callersMethodEuclidean_Distance
(self, x1, x2)
loss/triplet.py:34
↓ 1 callersMethod_ImageNet_pretrained
(self, param_dict=model_zoo.load_url(model_urls['resnet50']))
models/baseline.py:97
↓ 1 callersMethod__init__
(self, *args, **kwargs)
utils/progress/progress/__init__.py:31
↓ 1 callersMethodclearln
(self)
utils/progress/progress/helpers.py:61
↓ 1 callersMethodfinish
(self)
utils/progress/progress/helpers.py:45
↓ 1 callersMethodget_lr
(self)
utils/optim.py:34
↓ 1 callersMethodgoto
(self, index)
utils/progress/progress/__init__.py:112
↓ 1 callersMethodload
The VehicleID dataset is a little bit different from other dataset (e.g. VeRi776, VeRi-Wild). It randomly takes one image per vehicle
dataset/vehicleid.py:29
↓ 1 callersMethodload
(self)
dataset/veri_wild.py:26
↓ 1 callersFunctionload_pickle
(path)
visualization/visualize.py:35
↓ 1 callersFunctionmake_optimizer
(cfg, model, num_gpus=1)
utils/optim.py:50
↓ 1 callersMethodmean_ap
(self, distmat, query_ids, gallery_ids, query_cams, gallery_cams)
evaluators/base.py:165
↓ 1 callersFunctionnum_per_id
()
visualization/visualize.py:40
↓ 1 callersFunctionparse_args
()
main.py:14
↓ 1 callersFunctionparse_config
(args)
utils/osutils.py:16
↓ 1 callersFunctionparse_test_xml
()
dataset/gen_veri776.py:44
↓ 1 callersFunctionparse_train_xml
()
dataset/gen_veri776.py:15
↓ 1 callersMethodrank_list_visualization
(self, save_file)
evaluators/base.py:74
↓ 1 callersFunctionre_ranking
(probFea, galFea, k1,k2,lambda_value, MemorySave = False, Minibatch = 2000)
utils/re_ranking.py:29
↓ 1 callersFunctionset_random_seed
(seed)
main.py:34
↓ 1 callersFunctiontest
(args, cfg)
main.py:48
↓ 1 callersFunctiontrain
(args, cfg)
main.py:40
↓ 1 callersMethodtrain
(self)
trainers/base.py:59
↓ 1 callersMethodupdate
(self, val, n=1)
utils/meters.py:17
↓ 1 callersMethodupdate_avg
(self, n, dt)
utils/progress/progress/__init__.py:53
Method__call__
(self, img)
dataset/dataloader.py:24
Method__del__
(self)
utils/logging.py:19
Method__enter__
(self)
utils/logging.py:22
Method__exit__
(self, *args)
utils/logging.py:25
Method__getitem__
(self, key)
utils/progress/progress/__init__.py:40
Method__getitem__
if self.training: imgpath, vid, _, model, color = self.dataset[index] img = Image.open(imgpath).convert('RGB')
dataset/preprocessor.py:14
Method__init__
(self)
utils/meters.py:5
Method__init__
( self, optimizer, milestones, gamma=0.1, warmup_factor=1.0 / 3,
utils/optim.py:6
Method__init__
(self, cfg)
utils/logging.py:9
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, degenerated_to_sgd=True)
utils/radam.py:98
Method__init__
(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, warmup = 0)
utils/radam.py:175
Method__init__
(self, *args, **kwargs)
utils/progress/progress/__init__.py:85
Method__init__
(self, message=None, **kwargs)
utils/progress/progress/helpers.py:53
Method__init__
(self, *args, **kwargs)
utils/progress/progress/helpers.py:85
Method__init__
(self, master)
visualization/visualize.py:52
Method__init__
(self, dataset, training=True, transform=None)
dataset/preprocessor.py:5
Method__init__
(self, root="/home/share/zhihui/VehicleID_V1.0/", test_size='large')
dataset/vehicleid.py:22
Method__init__
(self, root='')
dataset/base.py:7
Method__init__
(self,probability=0.5,sl=0.02,sh=0.4,r1=0.3,mean=(0.4914,0.4822,0.4465))
dataset/dataloader.py:18
Method__init__
(self, dataset, batch_size, num_instances)
dataset/dataloader.py:58
Method__init__
(self, root, test_size='large')
dataset/veri_wild.py:18
Method__init__
(self, cfg, model, dataset)
trainers/base.py:19
Method__init__
(self, cfg, model, dataset)
evaluators/base.py:16
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
models/baseline.py:16
Method__init__
(self, num_classes, last_stride=1, pretrained=True)
models/baseline.py:116
Method__init__
(self, margin=1.2)
loss/triplet.py:7
Method__iter__
(self)
dataset/dataloader.py:79
Method__len__
(self)
dataset/preprocessor.py:11
Method__len__
(self)
dataset/dataloader.py:108
Method__repr__
(self)
dataset/base.py:20
Method__setstate__
(self, state)
utils/radam.py:113
Method__setstate__
(self, state)
utils/radam.py:189
Method_sigint_handler
(self, signum, frame)
utils/progress/progress/helpers.py:89
Methodelapsed
(self)
utils/progress/progress/__init__.py:46
Methodelapsed_td
(self)
utils/progress/progress/__init__.py:50
Methodeta
(self)
utils/progress/progress/__init__.py:90
Methodeta_td
(self)
utils/progress/progress/__init__.py:94
Methodevaluate
(self)
evaluators/base.py:37
Methodfinish
(self)
utils/progress/progress/helpers.py:71
Methodforward
(self, x)
models/baseline.py:29
Methodforward
(self, x)
models/baseline.py:84
Methodforward
(self, x)
models/baseline.py:141
Methodforward
(self, inputs, targets)
loss/triplet.py:12
MethodgotoPrb
(self)
visualization/visualize.py:252
Methoditer
(self, it)
utils/progress/progress/__init__.py:116
Methodload
(self)
dataset/market1501.py:6
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