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Functions130 in github.com/AiEson/CrossMatch

⨍ Functions 130◇ Types & classes 30
↓ 9 callersFunctiondice_loss
(score, target, ignore=None)
LA/code/utils/losses.py:8
↓ 6 callersMethod__init__
( self, n_channels=3, n_classes=2, n_filters=16, normalization="none",
LA/code/networks/vnet.py:173
↓ 6 callersMethod__init__
(self, in_chns, class_num)
ACDC/model/unet.py:169
↓ 6 callersMethodupdate
(self, val, num=1)
ACDC/util/utils.py:141
↓ 5 callersMethoddecoder
(self, features, no_drop=False)
LA/code/networks/vnet.py:275
↓ 3 callersFunctioncalculate_metric_percase
(pred, gt)
ACDC/test.py:26
↓ 3 callersFunctionsparse_init_weight
(model)
ACDC/model/unet.py:10
↓ 2 callersMethod__init__
(self, reduction)
ACDC/util/utils.py:69
↓ 2 callersFunctionblur
(img, p=0.5)
ACDC/dataset/transform.py:25
↓ 2 callersFunctioncount_params
(model)
ACDC/util/utils.py:32
↓ 2 callersMethodencoder
(self, input)
LA/code/networks/vnet.py:253
↓ 2 callersFunctionget_pascal_labels
Load the mapping that associates pascal classes with label colors Returns: np.ndarray with dimensions (21, 3)
LA/code/dataloaders/utils.py:51
↓ 2 callersFunctiongrouper
Collect data into fixed-length chunks or blocks
LA/code/dataloaders/la_heart.py:360
↓ 2 callersFunctioninit_log
(name, level=logging.INFO)
ACDC/util/utils.py:161
↓ 2 callersFunctionobtain_cutmix_box
( img_size=(112, 112, 80), p=0.5, size_min=0.02, size_max=0.4, ratio_1=0.3, ratio_2=1
LA/code/dataloaders/la_heart.py:14
↓ 2 callersFunctionobtain_cutmix_box
(img_size, p=0.5, size_min=0.02, size_max=0.4, ratio_1=0.3, ratio_2=1/0.3)
ACDC/dataset/transform.py:32
↓ 2 callersFunctionsetup_distributed
AdaHessian Optimizer Lifted from https://github.com/BIGBALLON/distribuuuu/blob/master/distribuuuu/utils.py Originally licensed MIT, Copyright
ACDC/util/dist_helper.py:8
↓ 2 callersFunctiontest_all_case
( net, image_list, num_classes, patch_size=(112, 112, 80), stride_xy=18, stride_z=4,
LA/code/test_util.py:14
↓ 1 callersFunctionInference
()
ACDC/test.py:75
↓ 1 callersMethod_dice_loss
(self, score, target, ignore)
ACDC/util/utils.py:98
↓ 1 callersMethod_one_hot_encoder
(self, input_tensor)
ACDC/util/utils.py:90
↓ 1 callersFunctioncalculate_metric_percase
(pred, gt)
LA/code/test_util.py:196
↓ 1 callersFunctiondecode_segmap
Decode segmentation class labels into a color image Args: label_mask (np.ndarray): an (M,N) array of integer values denoting the
LA/code/dataloaders/utils.py:109
↓ 1 callersFunctiondice_coeff
(input: Tensor, target: Tensor, reduce_batch_first: bool = False, epsilon=1e-6)
ACDC/util/soft_dice_loss.py:5
↓ 1 callersFunctiondice_loss1
(score, target)
LA/code/utils/losses.py:19
↓ 1 callersFunctionget_cityscapes_labels
()
LA/code/dataloaders/utils.py:24
↓ 1 callersMethodget_thresh_global
(self)
ACDC/util/thresh_helper.py:49
↓ 1 callersFunctioninfinite_shuffles
()
LA/code/dataloaders/la_heart.py:353
↓ 1 callersFunctioniterate_eternally
(indices)
LA/code/dataloaders/la_heart.py:352
↓ 1 callersFunctioniterate_once
(iterable)
LA/code/dataloaders/la_heart.py:348
↓ 1 callersFunctionmain
()
ACDC/supervised.py:33
↓ 1 callersFunctionmain
()
ACDC/train_cross_match.py:47
↓ 1 callersMethodnew_drop_rate
(self, loss_fp, loss_x)
ACDC/util/thresh_helper.py:58
↓ 1 callersMethodnew_global_mask_pooling
(self, pred, ignore_mask=None)
ACDC/util/thresh_helper.py:12
↓ 1 callersFunctionrandom_rot_flip
(img, mask)
ACDC/dataset/transform.py:8
↓ 1 callersFunctionrandom_rotate
(img, mask)
ACDC/dataset/transform.py:18
↓ 1 callersMethodreset
(self)
ACDC/util/utils.py:132
↓ 1 callersFunctiontest_calculate_metric
(epoch_num="best_model")
LA/code/test.py:37
↓ 1 callersFunctiontest_single_case
(net, image, stride_xy, stride_z, patch_size, num_classes=1)
LA/code/test_util.py:82
↓ 1 callersFunctiontest_single_volume
(case, net, test_save_path)
ACDC/test.py:36
↓ 1 callersMethodthresh_update
(self, pred, ignore_mask=None, update_g=False)
ACDC/util/thresh_helper.py:41
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:125
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:181
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:248
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:265
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:282
Method__call__
(self, sample)
LA/code/dataloaders/la_heart.py:296
Method__getitem__
(self, idx)
LA/code/dataloaders/la_heart.py:83
Method__getitem__
(self, item)
ACDC/dataset/acdc.py:35
Method__init__
(self, gamma=2, alpha=None, size_average=True)
LA/code/utils/losses.py:122
Method__init__
(self, n_stages, n_filters_in, n_filters_out, normalization="none")
LA/code/networks/vnet.py:19
Method__init__
(self, n_stages, n_filters_in, n_filters_out, normalization="none")
LA/code/networks/vnet.py:48
Method__init__
(self, n_filters_in, n_filters_out, stride=2, normalization="none")
LA/code/networks/vnet.py:81
Method__init__
(self, n_filters_in, n_filters_out, stride=2, normalization="none")
LA/code/networks/vnet.py:112
Method__init__
(self, n_filters_in, n_filters_out, stride=2, normalization="none")
LA/code/networks/vnet.py:147
Method__init__
(self, p=0.5, type="dropout")
LA/code/networks/vnet.py:332
Method__init__
( self, base_dir=None, mode="train", num=None, transform=None, id_path=None )
LA/code/dataloaders/la_heart.py:53
Method__init__
(self, output_size)
LA/code/dataloaders/la_heart.py:122
Method__init__
(self, output_size, with_sdf=False)
LA/code/dataloaders/la_heart.py:177
Method__init__
(self, mu=0, sigma=0.1)
LA/code/dataloaders/la_heart.py:261
Method__init__
(self, num_classes)
LA/code/dataloaders/la_heart.py:279
Method__init__
( self, primary_indices, secondary_indices, batch_size, secondary_batch_size )
LA/code/dataloaders/la_heart.py:322
Method__init__
(self, name, root, mode, size=None, id_path=None, nsample=None)
ACDC/dataset/acdc.py:19
Method__init__
(self, in_channels, out_channels, dropout_p)
ACDC/model/unet.py:23
Method__init__
(self, in_channels, out_channels, dropout_p)
ACDC/model/unet.py:42
Method__init__
( self, in_channels1, in_channels2, out_channels, dropout_p, bilinear=True )
ACDC/model/unet.py:55
Method__init__
(self, params)
ACDC/model/unet.py:78
Method__init__
(self, params)
ACDC/model/unet.py:103
Method__init__
(self, p=0.5)
ACDC/model/unet.py:145
Method__init__
(self, temp: float)
ACDC/util/utils.py:37
Method__init__
(self, n_classes)
ACDC/util/utils.py:86
Method__init__
(self, length=0)
ACDC/util/utils.py:128
Method__init__
(self, nclass, momentum, thresh_init=0.85)
ACDC/util/thresh_helper.py:6
Method__init__
(self, init_rate=0.0, momentum=0.99)
ACDC/util/thresh_helper.py:54
Method__iter__
(self)
LA/code/dataloaders/la_heart.py:333
Method__len__
(self)
LA/code/networks/vnet.py:353
Method__len__
(self)
LA/code/dataloaders/la_heart.py:80
Method__len__
(self)
LA/code/dataloaders/la_heart.py:344
Method__len__
(self)
ACDC/dataset/acdc.py:73
Method__len__
(self)
ACDC/model/unet.py:154
Functioncal_dice
(prediction, label, num=2)
LA/code/test_util.py:178
Functioncal_dice
(prediction, label, num=2)
LA/code/utils/metrics.py:13
Functioncalculate_metric_percase
(pred, gt)
LA/code/utils/metrics.py:31
Functioncosine_rampdown
Cosine rampdown from https://arxiv.org/abs/1608.03983
LA/code/utils/ramps.py:38
Functioncross_entropy2d
( logit, target, ignore_index=255, weight=None, size_average=True, batch_average=True )
LA/code/dataloaders/utils.py:154
Functiondecode_seg_map_sequence
(label_masks, dataset="pascal")
LA/code/dataloaders/utils.py:100
Functiondice
(input, target, ignore_index=None)
LA/code/utils/metrics.py:40
Functiondice_loss
(input: Tensor, target: Tensor, multiclass: bool = False)
ACDC/util/soft_dice_loss.py:36
Methoddrop_rate_update
(self, loss_fp, loss_x, scale_factor=2.0)
ACDC/util/thresh_helper.py:72
Functionencode_segmap
Encode segmentation label images as pascal classes Args: mask (np.ndarray): raw segmentation label image of dimension (M, N, 3),
LA/code/dataloaders/utils.py:83
Functionentropy_loss
(p, C=2)
LA/code/utils/losses.py:30
Functionentropy_loss_map
(p, C=2)
LA/code/utils/losses.py:58
Functionentropy_map
(p)
LA/code/utils/losses.py:165
Functionentropy_minmization
(p)
LA/code/utils/losses.py:158
Methodforward
(self, input, target)
LA/code/utils/losses.py:132
Methodforward
(self, x)
LA/code/networks/vnet.py:42
Methodforward
(self, x)
LA/code/networks/vnet.py:74
Methodforward
(self, x)
LA/code/networks/vnet.py:106
Methodforward
(self, x)
LA/code/networks/vnet.py:141
Methodforward
(self, x)
LA/code/networks/vnet.py:167
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