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Functions575 in github.com/HiLab-git/SSL4MIS

⨍ Functions 575◇ Types & classes 123

(self, x, max_indices, output_size)

code/networks/enet.py:433

code/networks/enet.py:569

code/networks/unet_3D_dv_semi.py:73

(self, map, image)

code/networks/discriminator.py:28

(self, map, feature)

code/networks/discriminator.py:79

code/networks/utils.py:16

code/networks/utils.py:29

code/networks/utils.py:43

code/networks/utils.py:57

code/networks/utils.py:90

code/networks/utils.py:120

code/networks/utils.py:152

code/networks/utils.py:184

code/networks/utils.py:210

(self, inputs1, inputs2)

code/networks/utils.py:229

(self, inputs1, inputs2)

code/networks/utils.py:252

(self, inputs1, inputs2)

code/networks/utils.py:271

code/networks/utils.py:293

(self, inputs1, inputs2)

code/networks/utils.py:320

code/networks/utils.py:341

code/networks/utils.py:367

code/networks/utils.py:392

code/networks/utils.py:439

code/networks/utils.py:461

code/networks/networks_other.py:346

code/networks/networks_other.py:391

code/networks/networks_other.py:417

code/networks/networks_other.py:473

code/networks/networks_other.py:525

code/networks/neural_network.py:66

(self, x, skip=None)

code/networks/efficientunet.py:54

(self, *features)

code/networks/efficientunet.py:127

Sequentially pass `x` trough model`s encoder, decoder and heads

code/networks/efficientunet.py:209

:param x: (b, c, t, h, w) :param g: (b, g_d) :return:

code/networks/grid_attention_layer.py:74

:param x: (b, c, t, h, w) :param g: (b, g_d) :return:

code/networks/grid_attention_layer.py:284

code/networks/attention.py:63

code/networks/attention.py:88

code/networks/attention.py:104

code/networks/attention.py:109

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:19

Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_windows, Wh*Ww, Wh

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:115

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:244

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:325

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:367

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:395

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:464

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:537

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:580

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:788

code/networks/vnet.py:29

code/networks/vnet.py:61

code/networks/vnet.py:89

code/networks/vnet.py:116

code/networks/vnet.py:140

(self, input, turnoff_drop=False)

code/networks/vnet.py:231

code/networks/nnunet.py:82

code/networks/nnunet.py:90

code/networks/nnunet.py:160

code/networks/nnunet.py:181

code/networks/nnunet.py:413

code/networks/pnet.py:35

code/networks/pnet.py:57

code/networks/pnet.py:78

code/networks/pnet.py:113

code/networks/efficient_encoder.py:83

code/networks/attention_unet.py:68

(self, input, gating_signal)

code/networks/attention_unet.py:132

code/networks/VoxResNet.py:21

code/networks/VoxResNet.py:40

code/networks/VoxResNet.py:60

code/networks/VoxResNet.py:73

code/networks/VoxResNet.py:103

code/networks/vision_transformer.py:48

Functiongenerate_param_report

(logfile, param)

code/dataloaders/utils.py:116

Functionget_default_cta

code/augmentations/__init__.py:19

Functionget_dice

code/dataloaders/utils.py:173

Functionget_encoder

(name, in_channels=3, depth=5, weights=None)

code/networks/encoder_tool.py:200

Methodget_input_array

(self, m, i, o)

code/networks/utils.py:414

Functionget_iou

(pred, gt, n_classes=21)

code/dataloaders/utils.py:145

Functionget_mc_dice

(pred, gt, num=2)

code/dataloaders/utils.py:186

Functionget_n_parameters

code/networks/networks_other.py:196

Methodget_output_array

(self, m, i, o)

code/networks/utils.py:423

Functionget_scheduler

(optimizer, opt)

code/networks/networks_other.py:95

Functionidentity

code/augmentations/ctaugment.py:197

code/augmentations/ctaugment.py:143

Functionkaiming_normal_init_weight

code/train_cross_pseudo_supervision_2D.py:66

Functionkaiming_normal_init_weight

code/train_cross_teaching_between_cnn_transformer_2D.py:110

Functionkaiming_normal_init_weight

code/train_fixmatch_cta.py:75

Functionkaiming_normal_init_weight

code/train_regularized_dropout_2D.py:66

Functionkaiming_normal_init_weight

code/train_fixmatch_standard_augs.py:71

Functionkaiming_normal_init_weight

code/networks/unet.py:12

Functionlambda_rule

code/networks/networks_other.py:98

Functionlearning_rate_decay

(optimizer, t, lr_0)

code/utils/util.py:183

Functionlinear_rampup

code/utils/ramps.py:29

Functionload_ddp_to_nddp

code/utils/util.py:247

Functionload_model

Loads model and return it without DataParallel table.

code/utils/util.py:20

Functionlr_poly

(base_lr, iter_, max_iter=100, power=0.9)

code/dataloaders/utils.py:141

Methodno_weight_decay

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:738

Methodno_weight_decay_keywords

code/networks/swin_transformer_unet_skip_expand_decoder_sys.py:742

code/dataloaders/brats_proprecessing.py:94

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