Functions — github.com/Hawkeye-FineGrained/Hawkeye

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Functions503 in github.com/Hawkeye-FineGrained/Hawkeye

⨍ Functions 503◇ Types & classes 105

↓ 1 callersMethodget_dataloader

(self, config)

train.py:200

↓ 1 callersMethodget_dataloader

(self, config)

test.py:93

↓ 1 callersMethodget_dataset

(self, config)

train.py:191

↓ 1 callersMethodget_dataset

(self, config)

test.py:89

↓ 1 callersMethodget_gradients

(self)

model/methods/MGE_CNN/grad_cam.py:40

↓ 1 callersMethodget_inat_resnet50_weight

(self, pretrain)

model/methods/ProtoTree/ProtoTreeNet.py:41

↓ 1 callersMethodget_logger

(self)

train.py:116

↓ 1 callersMethodget_logger

(self)

test.py:45

↓ 1 callersFunctionget_merge_bbox

(dets, inds)

model/methods/APCNN.py:27

↓ 1 callersMethodget_model

Build and load model in config

train.py:158

↓ 1 callersMethodget_model

Build and load model in config

test.py:65

↓ 1 callersMethodget_model_module

get `model` in single-gpu mode or `model.module` in multi-gpu mode.

train.py:230

↓ 1 callersMethodget_optimizer

(self, config)

train.py:214

↓ 1 callersMethodget_pairs

(self, embeddings, labels)

model/methods/APINet.py:76

↓ 1 callersMethodget_performance_meters

(self)

train.py:134

↓ 1 callersMethodget_performance_meters

(self)

test.py:55

↓ 1 callersMethodget_roi_crop_feat

ROI guided refinement: ROI guided Zoom-in & ROI guided Dropblock

model/methods/APCNN.py:478

↓ 1 callersMethodget_scheduler

(self, config)

train.py:217

↓ 1 callersMethodget_transformer

(self, config)

test.py:78

↓ 1 callersMethodget_transformers

(self, config)

train.py:171

↓ 1 callersMethodinit_args

(self, args)

model/methods/ProtoTree/prototree.py:60

↓ 1 callersMethodload_checkpoint

(self, path)

train.py:389

↓ 1 callersFunctionmakeGaussian

(size, fwhm=3, center=None)

model/methods/S3N.py:12

↓ 1 callersFunctionmake_layers

(cfg: List[Union[str, int]], batch_norm: bool = False)

model/backbone/vgg.py:56

↓ 1 callersFunctionmin_pool2d

(xs, **kwargs)

model/methods/ProtoTree/prototree.py:14

↓ 1 callersFunctionpdist

(vectors)

model/methods/APINet.py:116

↓ 1 callersFunctionpeak_stimulation

(input, return_aggregation=True, win_size=3, peak_filter=None)

model/methods/S3N.py:101

↓ 1 callersMethodpil_loader

(self, imgpath)

dataset/dataset_DCL.py:79

↓ 1 callersFunctionrandom_sample

(img_names, labels)

dataset/dataset_DCL.py:100

↓ 1 callersMethodreport

(self)

test.py:139

↓ 1 callersMethodreset_parameters

(self, init_weight=None, init_smooth_factor=None)

model/methods/Interp_Parts.py:36

↓ 1 callersFunctionresnet50

Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

model/methods/APCNN.py:602

↓ 1 callersFunctionresnet50

(pretrained=True, **kwargs)

model/methods/CrossX.py:257

↓ 1 callersFunctionresnet50

Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

model/methods/NTS_Net/resnet.py:179

↓ 1 callersFunctionset_random_seed

(seed)

utils/utils.py:102

↓ 1 callersMethodsize

(self)

model/methods/ProtoTree/branch.py:88

↓ 1 callersMethodtest

(self)

test.py:117

↓ 1 callersFunctionunfreeze

(m)

model/utils.py:42

↓ 1 callersFunctionupdate_prior_dist

Update the samples of prior distribution due to the change of batchsize. Args ---------- batch_size: int Current batch size.

model/loss/InterpParts_loss.py:62

↓ 1 callersMethodvalidate

model/methods/APCNN.py:621

FunctionCovpoolLayer

(var)

model/methods/MPNCOV.py:233

FunctionCrossX

(config)

model/methods/CrossX.py:265

FunctionEntropicConfusion

(features)

model/loss/pair_confusion.py:33

FunctionIP_ResNet101

(config)

model/methods/Interp_Parts.py:18

FunctionIP_ResNet50

(config)

model/methods/Interp_Parts.py:10

FunctionMGE_CNN

(config)

model/methods/MGE_CNN/MGE.py:244

FunctionPeerLearningLoss

peer learning loss Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. [ICCV 2021] :param logits_1: shape of (N,

model/loss/peer_learning_loss.py:5

FunctionResNet101

(config)

model/backbone/resnet.py:410

FunctionResNet50

(config)

model/backbone/resnet.py:404

FunctionSqrtmLayer

(var, iterN)

model/methods/MPNCOV.py:237

FunctionTriuvecLayer

(var)

model/methods/MPNCOV.py:241

Method__call__

(self, img)

dataset/transforms.py:48

Method__call__

(self, img)

dataset/transforms.py:72

Method__call__

(self, img)

dataset/transforms.py:253

Method__call__

(self, batch)

dataset/collate_fn.py:16

Method__call__

(self, x)

model/methods/MGE_CNN/grad_cam.py:18

Method__call__

(self, x)

model/methods/MGE_CNN/grad_cam.py:43

Method__call__

(self, input, index = None)

model/methods/MGE_CNN/grad_cam.py:65

Method__call__

(self, output, target)

model/loss/APINet_loss.py:12

Method__call__

(self, outputs, target)

model/loss/CrossX_loss.py:44

Method__call__

(self, output, target)

model/loss/CIN_loss.py:26

Method__call__

(self, output, target, loss_weight=None, weight=None, size_average=True, ignore_index=-100, r

model/loss/S3N_loss.py:13

Method__call__

(self, outputs, labels, labels_swap, swap_law)

model/loss/DCL_loss.py:16

Method__call__

(self, outputs, targets)

model/loss/NTS_loss.py:16

Method__call__

(self, output, target)

model/loss/InterpParts_loss.py:24

Args: index (int): Index Returns: dict { img, label }: dict of img and label.

dataset/dataset.py:36

Method__getitem__

(self, item)

dataset/dataset_DCL.py:37

(self, higher_is_better=True)

(self, *args, **kwargs)

utils/repository.py:7

Method__init__

( self, crop_size, mean=(0.485, 0.456, 0.406), std=(0.229, 0.224, 0.225),

dataset/transforms.py:15

Method__init__

( self, crop_size, resize_size=256, mean=(0.485, 0.456, 0.406), std=(0

dataset/transforms.py:53

Method__init__

(self, num_classes: int, p: float = 0.5, alpha: float = 1.0, inplace: bool = False)

dataset/transforms.py:88

Method__init__

(self, num_classes: int, p: float = 0.5, alpha: float = 1.0, inplace: bool = False)

dataset/transforms.py:165

Method__init__

(self, root, meta_path, transform=None, return_id=False, loader=default_loader)

dataset/dataset.py:24

Method__init__

(self, num_classes)

dataset/collate_fn.py:9

Method__init__

(self, root, meta_path, transforms=None, swap_size=[7, 7], mode='train', cls_2=True, cls_2xmul=False)

dataset/dataset_DCL.py:12

Method__init__

(self, dataset, n_classes, n_samples)

dataset/sampler.py:7

Method__init__

(self)

Examples/PeerLearning.py:17

Method__init__

(self)

Examples/Baseline.py:9

Examples/APINet.py:14

Method__init__

(self)

Examples/ProtoTreeNet.py:13

Examples/MGE_CNN.py:12

Examples/OSMENet.py:15

Method__init__

(self)

Examples/CrossX.py:13

Method__init__

(self)

Examples/PairConfusion.py:11

Examples/NTSNet.py:12

Method__init__

(self)

Examples/InterpPartsNet.py:14

Method__init__

(self)

Examples/DCL.py:15

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