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Functions118 in github.com/Yu-Wu/DukeMTMC-VideoReID

⨍ Functions 118◇ Types & classes 24
↓ 5 callersFunctionmkdir_if_missing
(dir_path)
reid/utils/osutils.py:6
↓ 5 callersMethodupdate
(self, val, n=1)
reid/utils/meters.py:19
↓ 4 callersMethod_check_integrity
(self)
reid/utils/data/dataset.py:83
↓ 4 callersMethodload
(self, verbose=True)
reid/utils/data/dataset.py:39
↓ 4 callersFunctionwrite_json
(obj, fpath)
reid/utils/serialization.py:18
↓ 3 callersFunction_pluck
(identities, indices, relabel=False)
reid/utils/data/dataset.py:9
↓ 3 callersFunctionextract_features
(model, data_loader, print_freq=1, metric=None)
reid/evaluators.py:15
↓ 3 callersMethodget_dataloader
(self, dataset, training=False)
baseline.py:48
↓ 3 callersFunctionto_torch
(ndarray)
reid/utils/__init__.py:15
↓ 3 callersMethodtransform
(self, X)
reid/dist_metric.py:22
↓ 2 callersMethod_get_single_item
(self, index)
reid/utils/data/preprocessor.py:28
↓ 2 callersMethod_get_single_item
(self, key)
reid/feature_extraction/database.py:24
↓ 2 callersFunctionaccuracy
(output, target, topk=(1,))
reid/evaluation_metrics/classification.py:6
↓ 2 callersMethodclose
(self)
reid/utils/logging.py:36
↓ 2 callersFunctionread_json
(fpath)
reid/utils/serialization.py:12
↓ 2 callersFunctionto_numpy
(tensor)
reid/utils/__init__.py:6
↓ 1 callersMethod__init__
(self, input_feature_size, num_classes, embeding_fea_size=1024, dropout=0.5)
reid/models/end2end.py:18
↓ 1 callersMethod__init__
(self, lut, momentum=0.5)
reid/loss/oim.py:9
↓ 1 callersMethod_forward
(self, inputs, targets)
reid/trainers.py:74
↓ 1 callersMethod_parse_data
(self, inputs)
reid/trainers.py:71
↓ 1 callersFunction_unique_sample
(ids_dict, num)
reid/evaluation_metrics/ranking.py:13
↓ 1 callersFunctionaverage_precision_score
(y_true, y_score, average="macro", sample_weight=None)
reid/evaluation_metrics/ranking.py:21
↓ 1 callersMethodbackward
(self, grad_outputs)
reid/loss/oim.py:19
↓ 1 callersMethodclose
(self)
reid/feature_extraction/database.py:50
↓ 1 callersFunctioncmc
(distmat, query_ids=None, gallery_ids=None, query_cams=None, gallery_cams=None, topk=100, sepa
reid/evaluation_metrics/ranking.py:32
↓ 1 callersFunctioncreate
Create a dataset instance. Parameters ---------- name : str The dataset name. Can be one of 'viper', 'cuhk01', 'cuhk03',
reid/datasets/__init__.py:18
↓ 1 callersMethoddownload
(self)
reid/datasets/dukemtmc_videoReID.py:24
↓ 1 callersMethoddownload
(self)
reid/datasets/mars.py:24
↓ 1 callersMethodevaluate
(self, query, gallery)
baseline.py:132
↓ 1 callersMethodevaluate
(self, data_loader, query, gallery, metric=None)
reid/evaluators.py:113
↓ 1 callersFunctionevaluate_all
(distmat, query=None, gallery=None, query_ids=None, gallery_ids=None, query_
reid/evaluators.py:63
↓ 1 callersFunctionextract_cnn_feature
(model, inputs, modules=None)
reid/feature_extraction/cnn.py:9
↓ 1 callersMethodfit
(self, X, y=None)
reid/metric_learning/kissme.py:33
↓ 1 callersFunctionget_metric
(algorithm, *args, **kwargs)
reid/metric_learning/__init__.py:22
↓ 1 callersFunctionload_checkpoint
(fpath)
reid/utils/serialization.py:31
↓ 1 callersFunctionmain
(args)
run.py:20
↓ 1 callersFunctionmean_ap
(distmat, query_ids=None, gallery_ids=None, query_cams=None, gallery_cams=None)
reid/evaluation_metrics/ranking.py:96
↓ 1 callersFunctionoim
(inputs, targets, lut, momentum=0.5)
reid/loss/oim.py:30
↓ 1 callersFunctionpairwise_distance
(features, query=None, gallery=None, metric=None)
reid/evaluators.py:38
↓ 1 callersMethodreset_params
(self)
reid/models/resnet.py:114
↓ 1 callersFunctionresnet50
(**kwargs)
reid/models/resnet.py:137
↓ 1 callersMethodtrain
create model and dataloader
baseline.py:82
↓ 1 callersMethodtransform
(self, X=None)
reid/metric_learning/euclidean.py:18
↓ 1 callersFunctionvalidate_cov_matrix
(M)
reid/metric_learning/kissme.py:7
Method__call__
(self, img)
reid/utils/data/transforms.py:12
Method__call__
(self, img)
reid/utils/data/transforms.py:25
Method__del__
(self)
reid/utils/logging.py:16
Method__delitem__
(self, key)
reid/feature_extraction/database.py:38
Method__enter__
(self)
reid/utils/logging.py:19
Method__enter__
(self)
reid/feature_extraction/database.py:13
Method__exit__
(self, *args)
reid/utils/logging.py:22
Method__exit__
(self, exc_type, exc_val, exc_tb)
reid/feature_extraction/database.py:16
Method__getitem__
(self, indices)
reid/utils/data/preprocessor.py:23
Method__getitem__
(self, keys)
reid/feature_extraction/database.py:19
Method__init__
(self, model_name, batch_size, num_classes, data_dir, save_path, dropout=0.5, max_frames=900)
baseline.py:20
Method__init__
(self, model, criterion)
reid/trainers.py:13
Method__init__
(self, algorithm='euclidean', *args, **kwargs)
reid/dist_metric.py:10
Method__init__
(self, model)
reid/evaluators.py:109
Method__init__
(self)
reid/utils/meters.py:7
Method__init__
(self, fpath=None)
reid/utils/logging.py:9
Method__init__
(self, dataset, root=None, transform=None, num_samples=16, is_training=True, max_frames = 900)
reid/utils/data/preprocessor.py:11
Method__init__
(self, height, width, interpolation=Image.BILINEAR)
reid/utils/data/transforms.py:7
Method__init__
(self, height, width, interpolation=Image.BILINEAR)
reid/utils/data/transforms.py:20
Method__init__
(self, root, split_id=0)
reid/utils/data/dataset.py:26
Method__init__
(self, data_source, num_instances=1)
reid/utils/data/sampler.py:12
Method__init__
(self, *args, **kwargs)
reid/feature_extraction/database.py:9
Method__init__
(self, root, split_id=0, num_val=100, download=True)
reid/datasets/dukemtmc_videoReID.py:10
Method__init__
(self, root, split_id=0, num_val=100, download=True)
reid/datasets/mars.py:10
Method__init__
(self, pretrained=True, dropout=0, num_classes=0)
reid/models/end2end.py:56
Method__init__
(self, depth, pretrained=True, cut_at_pooling=False, num_features=0, norm=False, dropout=0, n
reid/models/resnet.py:22
Method__init__
(self, margin=0)
reid/loss/triplet.py:9
Method__init__
(self, num_features, num_classes, scalar=1.0, momentum=0.5, weight=None, size_average=True)
reid/loss/oim.py:35
Method__init__
(self, clusters, margin=0,)
reid/loss/tri_clu_loss.py:10
Method__init__
(self)
reid/metric_learning/euclidean.py:8
Method__init__
(self)
reid/metric_learning/kissme.py:27
Method__iter__
(self)
reid/utils/data/sampler.py:24
Method__iter__
(self)
reid/feature_extraction/database.py:44
Method__len__
(self)
reid/utils/data/preprocessor.py:20
Method__len__
(self)
reid/utils/data/sampler.py:21
Method__len__
(self)
reid/feature_extraction/database.py:41
Method__setitem__
(self, key, value)
reid/feature_extraction/database.py:27
Function_binary_average_precision
(y_true, y_score, sample_weight=None)
reid/evaluation_metrics/ranking.py:23
Method_forward
(self, inputs, targets)
reid/trainers.py:85
Method_parse_data
(self, inputs)
reid/trainers.py:79
Methodadjust_lr
(epoch, step_size)
baseline.py:108
Functioncopy_state_dict
(state_dict, model, strip=None)
reid/utils/serialization.py:40
Functioncreate
Create a model instance. Parameters ---------- name : str Model name. Can be one of 'inception', 'resnet18', 'resnet34',
reid/models/__init__.py:16
Methodfit
(self, X)
reid/metric_learning/euclidean.py:14
Methodflush
(self)
reid/utils/logging.py:30
Methodflush
(self)
reid/feature_extraction/database.py:47
Methodforward
(self, inputs)
reid/models/end2end.py:35
Methodforward
(self, x)
reid/models/end2end.py:62
Methodforward
(self, x)
reid/models/resnet.py:78
Methodforward
(self, inputs, targets)
reid/loss/triplet.py:14
Methodforward
(self, inputs, targets)
reid/loss/oim.py:14
Methodforward
(self, inputs, targets)
reid/loss/oim.py:47
Methodforward
(self, inputs, targets)
reid/loss/tri_clu_loss.py:20
Functionfunc
(m, i, o)
reid/feature_extraction/cnn.py:22
Functionget_dataset
(name, root, *args, **kwargs)
reid/datasets/__init__.py:42
Methodget_feature
(self, dataset)
baseline.py:126
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