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Functions190 in github.com/SLDGroup/EMCAD

⨍ Functions 190◇ Types & classes 54

↓ 13 callersMethodresize

(self, img, gt)

utils/dataloader.py:114

↓ 11 callersMethod__init__

(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)

lib/pvtv2.py:13

↓ 6 callersMethod__init__

(self, in_channels, out_channels=None, ratio=16, activation='relu')

lib/decoders.py:256

↓ 6 callersFunctionact_layer

(act, inplace=False, neg_slope=0.2, n_prelu=1)

lib/decoders.py:48

↓ 5 callersFunctionstructure_loss

(pred, mask, w=1)

train_polyp.py:20

↓ 4 callersFunctionMSCBLayer

create a series of multi-scale convolution blocks.

lib/decoders.py:178

↓ 4 callersMethod_make_layer

(self, block, planes, blocks, stride=1)

lib/resnet.py:141

↓ 4 callersFunction_pad

(x, crop_size)

utils/misc.py:155

↓ 3 callersMethod__init__

(self, optimizer, curr_iter, max_iter, lr_decay)

utils/misc.py:101

↓ 3 callersFunctionget_loader

(image_root, gt_root, batchsize, trainsize, shuffle=False, num_workers=4, pin_memory=True, augmentation=False,

utils/dataloader_polyp.py:97

↓ 3 callersMethodstep

(self)

utils/misc.py:110

↓ 2 callersMethod__init__

(self, block, layers, num_classes=1000,deep_base=False,stem_width=32)

lib/resnet.py:105

↓ 2 callersMethod_pad

(self, img, mask)

utils/joint_transforms.py:163

↓ 2 callersMethod_pad

(self, img, mask)

utils/joint_transforms.py:208

↓ 2 callersFunctionchannel_shuffle

(x, groups)

lib/decoders.py:67

↓ 2 callersFunctionconv3x3

3x3 convolution with padding

lib/resnet.py:26

↓ 2 callersFunctionhorizontal_flip

(image)

utils/utils.py:276

↓ 2 callersMethodupdate

(self, val, n=1)

utils/utils.py:61

↓ 2 callersFunctionvertical_flip

(image)

utils/utils.py:280

↓ 1 callersMethod__init__

(self, num=40)

utils/utils.py:50

↓ 1 callersMethod_dice_loss

(self, score, target)

utils/utils.py:115

↓ 1 callersFunction_fast_hist

(label_pred, label_true, num_classes)

utils/misc.py:60

↓ 1 callersMethod_one_hot_encoder

(self, input_tensor)

utils/utils.py:107

↓ 1 callersFunctionadjust_lr

(optimizer, init_lr, epoch, decay_rate=0.1, decay_epoch=30)

utils/utils.py:44

↓ 1 callersMethodbinary_loader

(self, path)

utils/dataloader.py:89

↓ 1 callersMethodbinary_loader

(self, path)

utils/dataloader.py:170

↓ 1 callersFunctioncal_params_flops

(model, size, logger)

utils/utils.py:300

↓ 1 callersFunctioncalculate_dice_percase

(pred, gt)

utils/utils.py:154

↓ 1 callersFunctioncalculate_metric_percase

(pred, gt)

utils/utils.py:140

↓ 1 callersFunctionclip_gradient

For calibrating misalignment gradient via cliping gradient technique :param optimizer: :param grad_clip: :return:

utils/utils.py:32

↓ 1 callersFunctiondice_coefficient

(predicted, labels)

train_polyp.py:32

↓ 1 callersFunctiondice_coefficient

(predicted, labels)

test_polyp.py:16

↓ 1 callersMethodfilter_files

(self)

utils/dataloader.py:71

↓ 1 callersMethodfilter_files

(self)

utils/dataloader_polyp.py:49

↓ 1 callersMethodforward_features

(self, x)

lib/pvtv2.py:313

↓ 1 callersFunctiongcd

(a, b)

lib/decoders.py:10

↓ 1 callersFunctionget_binary_metrics

(pred, gt)

test_polyp.py:36

↓ 1 callersFunctioninference

(args, model, test_save_path=None)

test_synapse.py:69

↓ 1 callersFunctioninference

(args, model, best_performance)

trainer.py:22

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:99

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:156

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:210

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:243

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:277

↓ 1 callersMethodinit_weights

(self, scheme='')

lib/decoders.py:304

↓ 1 callersFunctioniou

(predicted, labels)

train_polyp.py:42

↓ 1 callersFunctioniou

(predicted, labels)

test_polyp.py:26

↓ 1 callersFunctionpowerset

Returns all the subsets of this set. This is a generator.

utils/utils.py:20

↓ 1 callersFunctionrandom_rot_flip

(image, label)

utils/dataset_ACDC.py:13

↓ 1 callersFunctionrandom_rot_flip

(image, label)

utils/dataset_synapse.py:12

↓ 1 callersFunctionrandom_rotate

(image, label)

utils/dataset_ACDC.py:23

↓ 1 callersFunctionrandom_rotate

(image, label)

utils/dataset_synapse.py:22

↓ 1 callersMethodreset

(self)

utils/misc.py:87

↓ 1 callersMethodreset

(self)

utils/utils.py:54

↓ 1 callersFunctionresnet101

Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

lib/resnet.py:227

↓ 1 callersFunctionresnet152

Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

lib/resnet.py:239

↓ 1 callersFunctionresnet18

Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

lib/resnet.py:182

↓ 1 callersFunctionresnet34

Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet

lib/resnet.py:194

↓ 1 callersFunctionresnet50

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

lib/resnet.py:214

↓ 1 callersMethodrgb_loader

(self, path)

utils/dataloader.py:84

↓ 1 callersMethodrgb_loader

(self, path)

utils/dataloader.py:165

↓ 1 callersMethodshow

(self)

utils/utils.py:68

↓ 1 callersFunctiontest

(model, path, dataset, opt)

train_polyp.py:52

↓ 1 callersFunctiontest

(model, path, dataset, opt, save_base=None)

test_polyp.py:56

↓ 1 callersFunctiontest_single_volume

(image, label, net, classes, patch_size=[256, 256], test_save_path=None, case=None, z_spacing=1, class_names=N

utils/utils.py:165

↓ 1 callersFunctiontif2png

Usage: formatting `tif/tiff` files to `jpg/png` files :param _src_path: :param _dst_path: :return:

utils/format_conversion.py:8

↓ 1 callersFunctiontrain

(train_loader, model, optimizer, epoch, opt, model_name)

train_polyp.py:107

↓ 1 callersFunctionval_single_volume

(image, label, net, classes, patch_size=[256, 256], test_save_path=None, case=None, z_spacing=1)

utils/utils.py:239

FunctionCalParams

Usage: Calculate Params and FLOPs via [THOP](https://github.com/Lyken17/pytorch-OpCounter) Necessarity: from thop import

utils/utils.py:71

Method__call__

(self, sample)

utils/dataset_ACDC.py:34

Method__call__

(self, sample)

utils/dataset_synapse.py:33

Method__call__

(self, img)

utils/transforms.py:10

Method__call__

(self, tensor)

utils/transforms.py:21

Method__call__

(self, img)

utils/transforms.py:28

Method__call__

(self, img)

utils/transforms.py:37

Method__call__

(self, img)

utils/transforms.py:42

Method__call__

(self, img)

utils/transforms.py:48

Method__call__

(self, img, mask)

utils/joint_transforms.py:13

Method__call__

(self, img, mask)

utils/joint_transforms.py:28

Method__call__

(self, img, mask)

utils/joint_transforms.py:53

Method__call__

(self, img, mask)

utils/joint_transforms.py:63

Method__call__

(self, img, mask)

utils/joint_transforms.py:73

Method__call__

(self, img, mask)

utils/joint_transforms.py:82

Method__call__

(self, img, mask)

utils/joint_transforms.py:101

Method__call__

(self, img, mask)

utils/joint_transforms.py:135

Method__call__

(self, img, mask)

utils/joint_transforms.py:146

Method__call__

(self, img, mask)

utils/joint_transforms.py:171

Method__call__

(self, img, mask)

utils/joint_transforms.py:216

Method__getitem__

(self, idx)

utils/dataset_ACDC.py:61

Method__getitem__

(self, idx)

utils/dataset_synapse.py:61

Method__getitem__

(self, index)

utils/dataloader.py:54

Method__getitem__

(self, index)

utils/dataloader_polyp.py:57

Method__init__

(self, output_size)

utils/dataset_ACDC.py:31

Method__init__

(self, base_dir, list_dir, split, transform=None)

utils/dataset_ACDC.py:52

Method__init__

(self, output_size)

utils/dataset_synapse.py:30

Method__init__

(self, base_dir, list_dir, split, nclass=9, transform=None)

utils/dataset_synapse.py:51

Method__init__

(self, weight=None, size_average=True, ignore_index=255)

utils/misc.py:42

Method__init__

(self, gamma=2, weight=None, size_average=True, ignore_index=255)

(self, regular_filter, cuda=True)

utils/misc.py:117

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