MCPcopy Create free account

hub / github.com/LouieYang/MCL / types & classes

Types & classes62 in github.com/LouieYang/MCL

↓ 17 callersClassAttrDict
configs/collections.py:11
↓ 11 callersClassAverageMeter
Computes and stores the average and current value
engines/utils.py:30
↓ 10 callersClassMELMask
modules/query/mel_utils.py:10
↓ 8 callersClassSimilarity
modules/query/similarity.py:8
↓ 3 callersClassRegistry
A helper class for managing registering modules, it extends a dictionary and provides a register functions. Eg. creeting a registry:
modules/utils.py:83
↓ 2 callersClassCategoriesSampler
dataloader/samplers.py:5
↓ 2 callersClassGradualWarmupScheduler
Gradually warm-up(increasing) learning rate in optimizer. Proposed in 'Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'. Args:
engines/utils.py:51
↓ 2 callersClassPreDataset
dataloader/pretrain_datasets.py:11
↓ 2 callersClassResNet
modules/encoder/resnet.py:127
↓ 1 callersClassAddMarginProduct
r"""Implement of large margin cosine distance: : Args: in_features: size of each input sample out_features: size of each output sa
modules/query/negative_cosine.py:8
↓ 1 callersClassBaseDataset
dataloader/base_datasets.py:15
↓ 1 callersClassDistributedSampler
Sampler that restricts data loading to a subset of the dataset. It is especially useful in conjunction with :class:`torch.nn.parallel.Distribu
dataloader/distributed_sampler.py:10
↓ 1 callersClassDropBlock
modules/encoder/resnet.py:7
↓ 1 callersClassFSLQuery
modules/fsl_query.py:8
↓ 1 callersClassGridDataset
dataloader/grid_datasets.py:14
↓ 1 callersClassRelationHead
modules/query/relationnet.py:7
↓ 1 callersClassRelationHead
modules/query/relationmel.py:9
↓ 1 callersClassSoftmaxMargin
r"""Implement of softmax with margin: Args: in_features: size of each input sample out_features: size of each output sample
modules/query/negative_softmax.py:8
↓ 1 callersClassUnrepeatedDataset
dataloader/unrepeated_datasets.py:15
↓ 1 callersClassWide_ResNet
modules/encoder/wrn28.py:46
↓ 1 callersClassdistLinear
modules/query/linearplus.py:10
ClassBasePretrainer
modules/pretrainer/base.py:10
ClassBasicBlock
modules/encoder/resnet.py:72
ClassCTX
modules/query/ctx.py:8
ClassDMN4
modules/query/dmn4.py:11
ClassDN4
modules/query/dn4.py:11
ClassDSN
modules/query/dsn.py:8
ClassDSNMEL
modules/query/dsnmel.py:11
ClassDeepEMD
modules/query/deepemd.py:17
ClassDistributedEvaluator
engines/distributed_evaluator.py:17
ClassDistributedPretrainer
engines/distributed_pretrainer.py:21
ClassDistributedTrainer
engines/distributed_trainer.py:25
ClassFRN
modules/query/frn.py:8
ClassFourLayer_64F
docstring for ClassName
modules/encoder/fourlayer_64F.py:8
ClassFourLayer_64F_4x
docstring for ClassName
modules/encoder/fourlayer_64F_4x.py:8
ClassLabelSpreading
modules/query/ls.py:11
ClassLinear
modules/query/linear.py:9
ClassLinearMEL
modules/query/linearmel.py:12
ClassLinearMELPlus
modules/query/linearplusmel.py:12
ClassLinearPlus
modules/query/linearplus.py:35
ClassMEL
modules/query/mel.py:11
ClassMN4
modules/query/mn4.py:11
ClassMatchingMEL
modules/query/matchingmel.py:11
ClassMatchingNet
modules/query/matchingnet.py:9
ClassMetaOptMEL
modules/query/metaoptmel.py:11
ClassMetaOptNet
modules/query/metaoptnet.py:15
ClassNegativeCosine
modules/query/negative_cosine.py:41
ClassNegativeCosineMEL
modules/query/negative_cosine_mel.py:12
ClassNegativeSoftmax
modules/query/negative_softmax.py:39
ClassNegativeSoftmaxMEL
modules/query/negative_softmax_mel.py:12
ClassPretrainFRN
modules/pretrainer/frn.py:10
ClassPretrainLinear
modules/pretrainer/linear.py:10
ClassPretrainer
engines/pretrainer.py:20
ClassProtoMEL
modules/query/protomel.py:11
ClassProtoNet
modules/query/protonet.py:9
ClassR2D2
modules/query/r2d2.py:8
ClassR2D2MEL
modules/query/r2d2mel.py:11
ClassRelationMEL
modules/query/relationmel.py:32
ClassRelationNet
modules/query/relationnet.py:30
Classevaluator
engines/evaluator.py:15
Classtrainer
engines/trainer.py:20
Classwide_basic
modules/encoder/wrn28.py:24