Functions — github.com/Hawkeye-FineGrained/Hawkeye

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Functions503 in github.com/Hawkeye-FineGrained/Hawkeye

⨍ Functions 503◇ Types & classes 105

Method__init__

( self, features: nn.Module, num_classes: int = 1000, init_wei

model/backbone/vgg.py:27

Method__init__

( self, inplanes: int, planes: int, stride: int = 1,

model/backbone/resnet.py:43

Method__init__

( self, inplanes: int, planes: int, stride: int = 1,

model/backbone/resnet.py:98

Method__init__

(self, channels, ratio)

model/methods/OSME.py:9

Method__init__

(self, config)

model/methods/OSME.py:49

Method__init__

(self, in_channels, num_parts)

model/methods/Interp_Parts.py:27

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/Interp_Parts.py:142

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/Interp_Parts.py:182

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/Interp_Parts.py:215

Method__init__

(self, in_planes, out_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True,

model/methods/APCNN.py:75

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/APCNN.py:102

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/APCNN.py:134

Method__init__

Feature Pyramid Attention :type channels: int

model/methods/APCNN.py:171

Method__init__

(self, B2_size, B3_size, B4_size, B5_size, feature_size=256)

model/methods/APCNN.py:205

Method__init__

(self, channel_size=256)

model/methods/APCNN.py:239

Method__init__

(self, out_channels)

model/methods/APCNN.py:274

Method__init__

(self, out_channels)

model/methods/APCNN.py:286

Method__init__

(self)

model/methods/APCNN.py:299

Method__init__

(self, config)

model/methods/PeerLearningNet.py:11

Method__init__

(self, config)

model/methods/APINet.py:11

Method__init__

(self, input_dim1, input_dim2, output_dim, sum_pool=True, rand_h_1=None, rand_s_1=None, rand_

model/methods/CBCNN.py:68

Method__init__

(self, size, offset=None)

model/methods/S3N.py:26

Method__init__

(self, init_value=1e-3)

model/methods/S3N.py:107

Method__init__

(self, channel, reduction=16)

model/methods/CrossX.py:30

Method__init__

(self, channel, reduction=16, nparts=1)

model/methods/CrossX.py:48

Method__init__

(self, inplanes, planes, stride=1, downsample=None, meflag=False, nparts=1, reduction=1)

model/methods/CrossX.py:76

Method__init__

(self)

model/methods/BCNN.py:10

Method__init__

(self, in_channel=2048, spatial_size=(7, 7))

model/methods/CIN.py:14

Method__init__

(self, in_channel=2048, num_classes=200)

model/methods/CIN.py:67

Method__init__

(self, iter_num=3, is_sqrt=True, is_vec=True, input_dim=2048, dimension_reduction=None)

model/methods/MPNCOV.py:57

Method__init__

(self, config)

model/methods/DCL.py:10

Method__init__

(self, index: int, num_classes: int, args

model/methods/ProtoTree/leaf.py:10

Method__init__

(self, index: int)

model/methods/ProtoTree/node.py:6

Method__init__

(self, config)

model/methods/ProtoTree/ProtoTreeNet.py:14

Method__init__

(self, index: int, l: Node, r: Node, args

model/methods/ProtoTree/branch.py:9

Method__init__

(self, args)

model/methods/ProtoTree/prototree.py:23

Method__init__

Create a new L2Conv2D layer :param num_prototypes: The number of prototypes in the layer :param num_features: The number of c

model/methods/ProtoTree/l2conv.py:11

Method__init__

(self)

model/methods/NTS_Net/NTSNet.py:64

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/NTS_Net/resnet.py:26

Method__init__

(self, inplanes, planes, stride=1, downsample=None)

model/methods/NTS_Net/resnet.py:58

Method__init__

(self, model, feature_extractor, classifier, target_layers)

model/methods/MGE_CNN/grad_cam.py:8

Method__init__

(self, model, feature_extractor, classifier, target_layers)

model/methods/MGE_CNN/grad_cam.py:35

Method__init__

(self, model, feature_extractor, classifier, target_layer_names)

model/methods/MGE_CNN/grad_cam.py:52

Method__init__

(self, config=None)

model/methods/MGE_CNN/MGE.py:76

Method__init__

(self, config)

model/loss/APINet_loss.py:6

Method__init__

(self, gamma=0, num_parts=1)

model/loss/CrossX_loss.py:8

Method__init__

(self, config)

model/loss/CIN_loss.py:8

Method__init__

(self, config)

model/loss/S3N_loss.py:10

Method__init__

(self, config)

model/loss/DCL_loss.py:6

Method__init__

(self, config)

model/loss/NTS_loss.py:8

Method__init__

(self)

model/loss/MAMC_loss.py:31

Method__init__

(self, config)

model/loss/pair_confusion.py:9

Method__init__

(self, config)

model/loss/InterpParts_loss.py:13

Method__iter__

(self)

dataset/sampler.py:21

Method__len__

(self)

dataset/dataset.py:63

Method__len__

(self)

dataset/dataset_DCL.py:34

Method__len__

(self)

dataset/sampler.py:37

Method__repr__

(self)

dataset/transforms.py:142

Method__repr__

(self)

dataset/transforms.py:233

Method__repr__

(self)

dataset/transforms.py:256

Method__repr__

(self)

model/methods/Interp_Parts.py:125

Method_assign_depths

(node, d)

model/methods/ProtoTree/prototree.py:224

Function_emergency_save

(self)

train.py:21

Method_init_tree_recursive

(i: int, d: int)

model/methods/ProtoTree/prototree.py:275

Function_mean_filter

(input)

model/methods/S3N.py:51

Method_set_parents_recursively

(node: Node)

model/methods/ProtoTree/prototree.py:295

Methodbackward

(ctx, grad_peak_list, grad_output)

model/methods/S3N.py:93

Methodbackward

(ctx, grad_output)

model/methods/MPNCOV.py:122

Methodbackward

(ctx, grad_output)

model/methods/MPNCOV.py:221

Methodbatch_training

(self, data)

Examples/PeerLearning.py:72

Methodbatch_training

(self, data)

Examples/Baseline.py:38

Examples/APINet.py:58

Methodbatch_training

(self, data)

Examples/ProtoTreeNet.py:103

Methodbatch_training

(self, data)

Examples/MGE_CNN.py:37

Examples/OSMENet.py:57

Methodbatch_training

(self, data)

Examples/CrossX.py:42

Examples/NTSNet.py:33

Methodbatch_training

(self, data)

Examples/InterpPartsNet.py:72

Examples/PeerLearning.py:94

Methodbatch_validate

(self, data)

Examples/Baseline.py:55

Examples/APINet.py:79

Methodbatch_validate

(self, data)

Examples/ProtoTreeNet.py:143

Methodbatch_validate

(self, data)

Examples/MGE_CNN.py:57

Examples/OSMENet.py:74

Methodbatch_validate

(self, data)

Examples/CrossX.py:64

Methodbatch_validate

(self, data)

Examples/NTSNet.py:50

Methodbatch_validate

(self, data)

Examples/InterpPartsNet.py:89

model/methods/ProtoTree/leaf.py:94

Methodbranches

(self)

model/methods/ProtoTree/node.py:30

Methodbranches

(self)

model/methods/ProtoTree/branch.py:96

Methodbranches

(self)

model/methods/ProtoTree/prototree.py:233

Functionbuild_config_from_dict

(_dict)

utils/utils.py:95

Functioncollate_fn4backbone

(batch)

dataset/dataset_DCL.py:167

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