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Functions117 in github.com/cvlab-yonsei/RRID

⨍ Functions 117◇ Types & classes 24
↓ 13 callersMethodupdate
(self, val, n=1)
reid/utils/meters.py:19
↓ 7 callersMethodload
(self, num_val=0.3, verbose=True)
reid/utils/data/dataset.py:53
↓ 5 callersFunctionaccuracy
(output, target, topk=(1,))
reid/evaluation_metrics/classification.py:6
↓ 5 callersFunctionremove_fc
Remove the fc layer parameters from state_dict.
resnet.py:150
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, dilation=1)
resnet.py:119
↓ 3 callersMethod_check_integrity
(self)
reid/utils/data/dataset.py:101
↓ 3 callersFunction_choose_from
(start, end, excluded_range=None, size=1, replace=False)
reid/utils/data/sampler.py:10
↓ 3 callersFunction_pluck
(identities, indices, relabel=False)
reid/utils/data/dataset.py:8
↓ 3 callersFunctioncmc
(distmat, query_ids=None, gallery_ids=None, query_cams=None, gallery_cams=None, topk=100, sepa
reid/evaluation_metrics/ranking.py:18
↓ 3 callersFunctionmkdir_if_missing
(dir_path)
reid/utils/osutils.py:6
↓ 3 callersFunctionread_json
(fpath)
reid/utils/serialization.py:12
↓ 3 callersFunctionto_numpy
(tensor)
reid/utils/__init__.py:6
↓ 3 callersFunctionto_torch
(ndarray)
reid/utils/__init__.py:15
↓ 2 callersMethod__init__
(self, block, layers, last_conv_stride=2, last_conv_dilation=1)
resnet.py:97
↓ 2 callersMethod_get_single_item
(self, index)
reid/utils/data/preprocessor.py:54
↓ 2 callersMethod_get_single_item
(self, key)
reid/feature_extraction/database.py:24
↓ 2 callersMethod_get_single_item_with_pose
(self, index)
reid/utils/data/preprocessor.py:63
↓ 2 callersMethodclose
(self)
reid/utils/logging.py:36
↓ 2 callersFunctionconv3x3
3x3 convolution with padding
resnet.py:17
↓ 2 callersFunctionevaluate_all
(distmat, query=None, gallery=None, query_ids=None, gallery_ids=None, query_
reid/evaluators.py:101
↓ 2 callersFunctionget_data
(name, split_id, data_dir, height, width, batch_size, workers, combine_trainval, np_ratio)
utils.py:14
↓ 1 callersMethod__init__
(self, data_source, neg_pos_ratio=1)
reid/utils/data/sampler.py:24
↓ 1 callersMethod_forward
(self, inputs, targets)
reid/trainers.py:59
↓ 1 callersMethod_generate_pose_map
(self, landmark, gauss_sigma=5)
reid/utils/data/preprocessor.py:114
↓ 1 callersMethod_load_landmark
(self, path, scale_h, scale_w)
reid/utils/data/preprocessor.py:100
↓ 1 callersMethod_parse_data
(self, inputs)
reid/trainers.py:56
↓ 1 callersFunction_unique_sample
(ids_dict, num)
reid/evaluation_metrics/ranking.py:10
↓ 1 callersFunctionadjust_lr_staircase
(param_groups, base_lrs, ep, decay_at_epochs, factor)
utils.py:67
↓ 1 callersMethodclose
(self)
reid/feature_extraction/database.py:50
↓ 1 callersFunctioncreate
Create a dataset instance. Parameters ---------- name : str The dataset name. Can be one of 'cuhk03', 'market1501',
reid/datasets/__init__.py:21
↓ 1 callersFunctionextract_cnn_feature
(model, inputs, modules=None)
reid/feature_extraction/cnn.py:9
↓ 1 callersFunctionextract_embeddings
(model, features, alpha, query=None, topk_gallery=None, rerank_topk=0, print_freq=500)
reid/evaluators.py:20
↓ 1 callersFunctionextract_features
(model, data_loader, print_freq=1, metric=None)
reid/evaluators.py:46
↓ 1 callersFunctionfind_index
(seq, item)
utils.py:60
↓ 1 callersFunctionmean_ap
(distmat, query_ids=None, gallery_ids=None, query_cams=None, gallery_cams=None)
reid/evaluation_metrics/ranking.py:82
↓ 1 callersFunctionpairwise_distance
(features, query=None, gallery=None, metric=None)
reid/evaluators.py:76
↓ 1 callersMethodreset_params
(self)
reid/models/resnet.py:90
↓ 1 callersFunctionresnet50
Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
resnet.py:186
↓ 1 callersMethodtrain
(self, epoch, data_loader, optimizer, base_lr=0.1, print_freq=1)
reid/trainers.py:19
Method__call__
(self, img)
reid/utils/data/transforms.py:15
Method__call__
(self, img)
reid/utils/data/transforms.py:28
Method__call__
(self, img)
reid/utils/data/transforms.py:59
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:43
Method__getitem__
(self, keys)
reid/feature_extraction/database.py:19
Method__init__
(self, margin=0, size_average=True)
triplet.py:15
Method__init__
( self, last_conv_stride=1, last_conv_dilation=1, num_stripes=6, local
Relation_final_ver_last_multi_scale_large_losses.py:10
Method__init__
(self, inplanes, planes, stride=1, downsample=None, dilation=1)
resnet.py:27
Method__init__
(self, inplanes, planes, stride=1, downsample=None, dilation=1)
resnet.py:59
Method__init__
(self, model, criterion, num_classes=0, num_instances=4)
reid/trainers.py:12
Method__init__
(self, base_model, embed_model, embed_dist_fn=None)
reid/evaluators.py:183
Method__init__
(self)
reid/utils/meters.py:7
Method__init__
(self, fpath=None)
reid/utils/logging.py:9
Method__init__
(self, dataset, root=None, with_pose=False, pose_root=None, pid_imgs=None, height=256, width=128, pose_aug='no
reid/utils/data/preprocessor.py:12
Method__init__
(self, height, width, interpolation=Image.BILINEAR)
reid/utils/data/transforms.py:10
Method__init__
(self, height, width, interpolation=Image.BILINEAR)
reid/utils/data/transforms.py:23
Method__init__
(self, sl=0.02, sh=0.2, asratio=0.3, p=0.5)
reid/utils/data/transforms.py:53
Method__init__
(self, root, split_id=0)
reid/utils/data/dataset.py:33
Method__init__
(self, data_source, batch_image=4)
reid/utils/data/sampler.py:61
Method__init__
(self, *args, **kwargs)
reid/feature_extraction/database.py:9
Method__init__
(self, root, split_id=0, num_val=100)
reid/datasets/cuhk03.py:13
Method__init__
(self, root, split_id=0, num_val=100)
reid/datasets/market1501.py:11
Method__init__
(self, root, split_id=0, num_val=100)
reid/datasets/dukemtmc.py:11
Method__init__
(self, base_model, embed_model)
reid/models/multi_branch.py:7
Method__init__
(self, nonlinearity='square', use_batch_norm=False, use_classifier=False, num_features=0, num
reid/models/embedding.py:8
Method__init__
(self, depth, pretrained=True, cut_at_pooling=False, num_features=0, norm=False, dropout=0, n
reid/models/resnet.py:22
Method__iter__
(self)
reid/utils/data/sampler.py:39
Method__iter__
(self)
reid/utils/data/sampler.py:76
Method__iter__
(self)
reid/feature_extraction/database.py:44
Method__len__
(self)
reid/utils/data/preprocessor.py:40
Method__len__
(self)
reid/utils/data/dataset.py:42
Method__len__
(self)
reid/utils/data/sampler.py:56
Method__len__
(self)
reid/utils/data/sampler.py:88
Method__len__
(self)
reid/feature_extraction/database.py:41
Method__setitem__
(self, key, value)
reid/feature_extraction/database.py:27
Method_forward
(self, inputs, targets)
reid/trainers.py:69
Method_mask_max
(input_tensor, mask, axis=None, keepdims=False)
triplet.py:27
Method_mask_min
(input_tensor, mask, axis=None, keepdims=False)
triplet.py:32
Method_parse_data
(self, inputs)
reid/trainers.py:63
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:19
Methodevaluate
(self, data_loader, query, gallery, alpha=0, cache_file=None, rerank_topk=75, second_stage=Tr
reid/evaluators.py:189
Methodflush
(self)
reid/utils/logging.py:30
Methodflush
(self)
reid/feature_extraction/database.py:47
Methodforward
(self, input, target)
triplet.py:20
Methodforward
(self, x)
Relation_final_ver_last_multi_scale_large_losses.py:266
Methodforward
(self, x)
resnet.py:37
Methodforward
(self, x)
resnet.py:72
Methodforward
(self, x)
resnet.py:136
Methodforward
(self, x1, x2)
reid/models/multi_branch.py:12
Methodforward
(self, x1, x2)
reid/models/embedding.py:26
Methodforward
(self, x)
reid/models/resnet.py:65
Functionfunc
(m, i, o)
reid/feature_extraction/cnn.py:22
Functionget_dataset
(name, root, *args, **kwargs)
reid/datasets/__init__.py:45
Methodimages_dir
(self)
reid/utils/data/dataset.py:46
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