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Functions973 in github.com/YtongXie/UniMiSS-code

↓ 1 callersMethodtruncate
(self, CT)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:46
↓ 1 callersMethodtruncate
(self, CT)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:127
↓ 1 callersMethodupdate
(self, **kwargs)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:268
↓ 1 callersMethodupdate_center
Update center used for teacher output.
UniMiSS/main.py:492
↓ 1 callersMethodupdate_center
Update center used for teacher output.
UniMiSSPlus/main_UniMissPlus.py:535
↓ 1 callersMethodupdate_eval_criterion_MA
If self.all_val_eval_metrics is unused (len=0) then we fall back to using -self.all_val_losses for the MA to determine early stopping
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:518
↓ 1 callersMethodupdate_eval_criterion_MA
If self.all_val_eval_metrics is unused (len=0) then we fall back to using -self.all_val_losses for the MA to determine early stopping
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:518
↓ 1 callersMethodupdate_train_loss_MA
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:610
↓ 1 callersMethodupdate_train_loss_MA
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:610
↓ 1 callersFunctionval_mode_cls
(valloader, model)
UniMiSS/Downstream/RICORD/train.py:88
↓ 1 callersFunctionval_mode_cls
(valloader, model)
UniMiSSPlus/Downstream/3D/RICORD/train.py:88
↓ 1 callersFunctionval_mode_seg
(valloader, model, path, epoch)
UniMiSSPlus/Downstream/2D/Seg/main.py:81
↓ 1 callersMethodvalidate
We need to wrap this because we need to enforce self.network.do_ds = False for prediction
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /TrainerV2_BCV.py:162
↓ 1 callersMethodvalidate
We need to wrap this because we need to enforce self.network.do_ds = False for prediction
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/TrainerV2_BCV.py:161
↓ 1 callersMethodverify_attributes
(self, attrs)
UniMiSSPlus/pycuda_drr/pydrr/KernelModule.py:27
↓ 1 callersMethodverify_texture_attributes
(self, attrs)
UniMiSSPlus/pycuda_drr/pydrr/KernelModule.py:35
FunctionHU2Myu
convert CT images represented in HU to linear attenuation coefficient :param HU_images: images in HU :param myu_water: linear att
UniMiSSPlus/pycuda_drr/pydrr/utils.py:44
FunctionMiTplus
(norm_cfg2D='IN2', norm_cfg3D='IN3', activation_cfg='LeakyReLU', img_size2D=224, img_size3D=[1
UniMiSSPlus/MiTplus.py:1041
MethodSDD
(self)
UniMiSSPlus/pycuda_drr/pydrr/GeometryContext.py:27
MethodSOD
(self)
UniMiSSPlus/pycuda_drr/pydrr/GeometryContext.py:18
Method__call__
(self, img)
UniMiSSPlus/utils.py:27
Method__call__
(self, img)
UniMiSSPlus/utils.py:46
Method__call__
(self, img)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:28
Method__call__
(self, img)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:47
Method__call__
(self, img)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:28
Method__call__
(self, img)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:47
Method__enter__
(self)
UniMiSSPlus/pycuda_drr/pydrr/utils.py:11
Method__exit__
(self, type, value, traceback)
UniMiSSPlus/pycuda_drr/pydrr/utils.py:14
Method__getattr__
(self, attr)
UniMiSS/utils.py:212
Method__getattr__
(self, attr)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:212
Method__getattr__
(self, attr)
UniMiSSPlus/utils.py:274
Method__getattr__
(self, attr)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:275
Method__getattr__
(self, attr)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:275
Method__getattr__
(self, attr)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:212
Method__getitem__
(self, index)
UniMiSS/data_loader3D.py:138
Method__getitem__
(self, index)
UniMiSS/data_loader2D.py:42
Method__getitem__
(self, index)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:76
Method__getitem__
(self, index)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:142
Method__getitem__
(self, index)
UniMiSSPlus/data_loader2D.py:44
Method__getitem__
(self, index)
UniMiSSPlus/data_loader3D2D.py:185
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/2D/Cls/dataset/my_datasets.py:43
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/2D/Cls/dataset/my_datasets.py:76
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/2D/Seg/dataset/my_datasets.py:66
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/2D/Seg/dataset/my_datasets.py:156
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:76
Method__getitem__
(self, index)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:142
Method__init__
(self, window_size=20, fmt=None)
UniMiSS/utils.py:116
Method__init__
(self, delimiter="\t")
UniMiSS/utils.py:201
Method__init__
(self, backbone, head)
UniMiSS/utils.py:535
Method__init__
(self, root, list_path, crop_size_3D=(64, 256, 256), data_type='3D_Modal')
UniMiSS/data_loader3D.py:15
Method__init__
(self, root, list_path, crop_size_2D=(256, 256), data_type='2D_Modal')
UniMiSS/data_loader2D.py:12
Method__init__
(self, out_dim, ncrops, warmup_teacher_temp, teacher_temp, warmup_teacher_temp_epochs, nepoch
UniMiSS/main.py:449
Method__init__
(self, in_channels, out_channels, kernel_size, stride=(1,1,1), padding=(0,0,0), dilation=(1,1,1), groups=1, bi
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:12
Method__init__
(self, in_channels, out_channels, norm_cfg, activation_cfg, kernel_size, stride=(1, 1, 1), pa
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:54
Method__init__
(self, in_channels, out_channels, norm_cfg, activation_cfg, kernel_size, stride=(1, 1, 1), pa
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:73
Method__init__
(self, drop_prob=None)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:117
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:145
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:191
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:215
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[48, 192, 192], in_chans=1, num_classe
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:234
Method__init__
(self, window_size=20, fmt=None)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:116
Method__init__
(self, delimiter="\t")
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:201
Method__init__
(self, backbone, head)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:535
Method__init__
(self, in_channels, out_channels, kernel_size, stride=(1,1,1), padding=(0,0,0), dilation=(1,1,1), groups=1, bi
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:17
Method__init__
(self, in_channels, out_channels, norm_cfg, activation_cfg, kernel_size, stride=(1, 1, 1), pa
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:58
Method__init__
(self, drop_prob=None)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:87
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:115
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:161
Method__init__
(self, img_size=[16, 96, 96], patch_size=[16, 16, 16], in_chans=1, embed_dim=768)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:184
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[48, 192, 192], num_classes=None, in_c
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:202
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=None, num_classes=None, in_chans=1,
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:349
Method__init__
(self)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:49
Method__init__
(self, plans_file, fold, output_folder=None, dataset_directory=None, batch_dice=True, stage=None,
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainerCascadeFullRes.py:37
Method__init__
(self, plans_file, fold, norm_cfg, activation_cfg, epochs, pre_train, pre_path, output_folder=None, dataset_di
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /TrainerV2_BCV.py:25
Method__init__
(self, plans_file, fold, output_folder=None, dataset_directory=None, batch_dice=True, stage=None,
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainerV2_CascadeFullRes.py:41
Method__init__
A generic class that can train almost any neural network (RNNs excluded). It provides basic functionality such as the training loop,
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:43
Method__init__
:param deterministic: :param fold: can be either [0 ... 5) for cross-validation, 'all' to train on all available training data or
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainer.py:49
Method__init__
(self, drop_prob=None)
UniMiSS/Downstream/RICORD/nets/utils.py:94
Method__init__
(self, in_channels, out_channels, kernel_size, stride=(1,1,1), padding=(0,0,0), dilation=(1,1,1), groups=1, bi
UniMiSS/Downstream/RICORD/nets/utils.py:104
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=(1, 1, 1),padding=(0, 0, 0),dilation
UniMiSS/Downstream/RICORD/nets/utils.py:122
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSS/Downstream/RICORD/nets/utils.py:154
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[16, 96, 96], patch_s
UniMiSS/Downstream/RICORD/nets/utils.py:204
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSS/Downstream/RICORD/nets/utils.py:224
Method__init__
(self, num_classes=2, norm_cfg3D='BN3', activation_cfg='ReLU', weight_std=False, img_size3D=[16, 96, 96], in_c
UniMiSS/Downstream/RICORD/nets/MiT.py:14
Method__init__
(self, root, list_path, crop_size_3D=(64, 64, 64), max_iters=None)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:15
Method__init__
(self, root, list_path, crop_size_3D=(64, 64, 64))
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:100
Method__init__
(self, drop_prob=None)
UniMiSS/models/MiT_encoder.py:26
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1,
UniMiSS/models/MiT_encoder.py:54
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSS/models/MiT_encoder.py:115
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=224, patch_size=16, in_chans=3,
UniMiSS/models/MiT_encoder.py:139
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[16, 96, 96], patch_s
UniMiSS/models/MiT_encoder.py:161
Method__init__
(self, norm_cfg2D='BN2', norm_cfg3D='BN3', activation_cfg='ReLU', weight_std=False, img_size2D=224,
UniMiSS/models/MiT_encoder.py:182
Method__init__
(self, drop_prob=None)
UniMiSS/models/MiT.py:26
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1,
UniMiSS/models/MiT.py:54
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSS/models/MiT.py:115
Method__init__
(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768)
UniMiSS/models/MiT.py:139
Method__init__
(self, img_size=[16, 96, 96], patch_size=[16, 16, 16], in_chans=1, embed_dim=768)
UniMiSS/models/MiT.py:159
Method__init__
(self, norm_cfg2D='BN2', norm_cfg3D='BN3', activation_cfg='ReLU', weight_std=False, img_size2
UniMiSS/models/MiT.py:177
Method__init__
(self, in_dim, out_dim, use_bn=False, norm_last_layer=True, nlayers=3, hidden_dim=2048, bottl
UniMiSS/models/MiT.py:518
Method__init__
(self, in_channels, out_channels, kernel_size, stride=(1, 1), padding=(0, 0), dilation=(1, 1), groups=1, bias=
UniMiSS/models/Pacth_embeds.py:19
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