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Functions973 in github.com/YtongXie/UniMiSS-code

⨍ Functions 973◇ Types & classes 173
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=1,padding=0,dilation=1,bias=False,we
UniMiSS/models/Pacth_embeds.py:76
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=(1, 1, 1),padding=(0, 0, 0),dilation
UniMiSS/models/Pacth_embeds.py:91
Method__init__
(self, out_dim, ncrops, warmup_teacher_temp, teacher_temp, warmup_teacher_temp_epochs, nepoch
UniMiSSPlus/main_UniMissPlus.py:492
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=1,padding=0,dilation=1,bias=False)
UniMiSSPlus/MiTplus.py:10
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=(1, 1, 1),padding=(0, 0, 0),dilation
UniMiSSPlus/MiTplus.py:23
Method__init__
(self, drop_prob=None)
UniMiSSPlus/MiTplus.py:81
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1,
UniMiSSPlus/MiTplus.py:109
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/MiTplus.py:180
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=224, patch_size=16, in_chans=3, embed_d
UniMiSSPlus/MiTplus.py:204
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSSPlus/MiTplus.py:231
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=224, patch_size=16, in_chans=3, embed_dim=768, is_proj1=
UniMiSSPlus/MiTplus.py:259
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSSPlus/MiTplus.py:286
Method__init__
(self, norm_cfg2D='BN2', norm_cfg3D='BN3', activation_cfg='ReLU', img_size2D=224, img_size3D=
UniMiSSPlus/MiTplus.py:314
Method__init__
(self, norm_cfg2D='BN2', norm_cfg3D='BN3', activation_cfg='ReLU', img_size2D=224, img_size3D=
UniMiSSPlus/MiTplus.py:686
Method__init__
(self, in_dim, out_dim, use_bn=False, norm_last_layer=True, nlayers=3, hidden_dim=2048, bottl
UniMiSSPlus/MiTplus.py:1056
Method__init__
(self, p=0.5, radius_min=0.1, radius_max=2.)
UniMiSSPlus/utils.py:22
Method__init__
(self, p)
UniMiSSPlus/utils.py:43
Method__init__
(self, window_size=20, fmt=None)
UniMiSSPlus/utils.py:178
Method__init__
(self, delimiter="\t")
UniMiSSPlus/utils.py:263
Method__init__
(self, backbone, head)
UniMiSSPlus/utils.py:664
Method__init__
(self, backbone, head)
UniMiSSPlus/utils.py:700
Method__init__
(self, root, list_path, max_iters=None, crop_size_2D=(256, 256), data_type='2D_Modal', local_crops_number=2)
UniMiSSPlus/data_loader2D.py:7
Method__init__
(self, root, list_path, crop_size_2D=(256, 256), crop_size_3D=(64, 256, 256), data_type='3D2D_Modal')
UniMiSSPlus/data_loader3D2D.py:15
Method__init__
(self, module, func_name, attrs)
UniMiSSPlus/pycuda_drr/pydrr/Kernel.py:5
Method__init__
(self)
UniMiSSPlus/pycuda_drr/pydrr/GeometryContext.py:5
Method__init__
(self, gpu_object, spacing, bridge)
UniMiSSPlus/pycuda_drr/pydrr/GpuVolumeContext.py:5
Method__init__
(self, source, info)
UniMiSSPlus/pycuda_drr/pydrr/KernelModule.py:9
Method__init__
(self, target_detector, step_size_mm = 1, *, cpu=None)
UniMiSSPlus/pycuda_drr/pydrr/Projector.py:13
Method__init__
(self, volume, spacing = (1,1,1), *, cpu=None, gpu=None)
UniMiSSPlus/pycuda_drr/pydrr/VolumeContext.py:7
Method__init__
(self, name=None)
UniMiSSPlus/pycuda_drr/pydrr/utils.py:8
Method__init__
(self, default_kernel, *kernel_codes)
UniMiSSPlus/pycuda_drr/pydrr/KernelManager.py:11
Method__init__
(self, image_size, pixel_spacing, image=None, *, cpu=None)
UniMiSSPlus/pycuda_drr/pydrr/Detector.py:8
Method__init__
(self, root_path, list_path, max_iters=None)
UniMiSSPlus/Downstream/2D/Cls/dataset/my_datasets.py:19
Method__init__
(self, root_path, list_path)
UniMiSSPlus/Downstream/2D/Cls/dataset/my_datasets.py:54
Method__init__
(self, p=0.5, radius_min=0.1, radius_max=2.)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:23
Method__init__
(self, p)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:44
Method__init__
(self, window_size=20, fmt=None)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:179
Method__init__
(self, delimiter="\t")
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:264
Method__init__
(self, backbone, head)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:553
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=1,padding=0,dilation=1,bias=False)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:10
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:64
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:92
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:144
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=224, patch_size=16, in_chans=3, embed_d
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:168
Method__init__
(self, norm_cfg2D='BN2', activation_cfg='ReLU', img_size2D=224, num_classes=0, embed_dims=[64, 192, 384, 384],
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:194
Method__init__
(self, root_path, list_path, crop_size=(224, 224), max_iters=None)
UniMiSSPlus/Downstream/2D/Seg/dataset/my_datasets.py:19
Method__init__
(self, root_path, list_path, crop_size=(224, 224))
UniMiSSPlus/Downstream/2D/Seg/dataset/my_datasets.py:132
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=1,padding=0,dilation=1,bias=False)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:12
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:66
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:94
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:146
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=224, patch_size=16, in_chans=3, embed_dim=768, is_proj1=
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:169
Method__init__
(self, norm_cfg2D='BN2', activation_cfg='ReLU', img_size2D=224, num_classes=None, embed_dims=
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:193
Method__init__
(self, p=0.5, radius_min=0.1, radius_max=2.)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:23
Method__init__
(self, p)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:44
Method__init__
(self, window_size=20, fmt=None)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:179
Method__init__
(self, delimiter="\t")
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:264
Method__init__
(self, backbone, head)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:553
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=1,padding=0,dilation=1,bias=False)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:8
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:62
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:90
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:142
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=224, patch_size=16, in_chans=3, embed_d
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:166
Method__init__
(self, norm_cfg2D='BN2', activation_cfg='ReLU', weight_std=False, img_size2D=224, embed_dims=
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:192
Method__init__
(self, plans_file, fold, output_folder=None, dataset_directory=None, batch_dice=True, stage=None,
UniMiSSPlus/Downstream/3D/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
UniMiSSPlus/Downstream/3D/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,
UniMiSSPlus/Downstream/3D/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,
UniMiSSPlus/Downstream/3D/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
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainer.py:49
Method__init__
(self, in_channels, out_channels, norm_cfg, activation_cfg, kernel_size, stride=(1, 1, 1), pa
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:52
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:71
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:99
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:151
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:175
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:205
Method__init__
(self, norm_cfg3D='BN3', activation_cfg='ReLU', img_size3D=[16, 96, 96], in_channels=1, embe
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:231
Method__init__
(self, norm_cfg3D='BN3', activation_cfg='ReLU',img_size3D=[48, 192, 192], num_classes=None, e
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:393
Method__init__
(self, norm3D='BN3', act='ReLU', img_size3D=[48, 192, 192], num_classes=None, pretrain=False, pretrain_path=No
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:564
Method__init__
(self, window_size=20, fmt=None)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:116
Method__init__
(self, delimiter="\t")
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:201
Method__init__
(self, backbone, head)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:535
Method__init__
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:49
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:56
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:84
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:131
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=(1, 1, 1),padding=(0, 0, 0),dilation
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:152
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', img_size=[16, 96, 96], patch_size=[16, 16, 16],
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:168
Method__init__
(self, in_chans=1, num_classes=2, norm_cfg3D='BN3', activation_cfg='ReLU', img_size3D=[16, 96, 96], embed_dims
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:195
Method__init__
(self, drop_prob=None)
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:96
Method__init__
(self, in_channels, out_channels, kernel_size, stride=(1,1,1), padding=(0,0,0), dilation=(1,1,1), groups=1, bi
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:106
Method__init__
(self,in_channels,out_channels,norm_cfg,activation_cfg,kernel_size,stride=(1, 1, 1),padding=(0, 0, 0),dilation
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:124
Method__init__
(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0., proj_drop=0., sr_ratio=1)
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:156
Method__init__
(self, norm_cfg='BN', activation_cfg='ReLU', weight_std=False, img_size=[16, 96, 96], patch_s
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:206
Method__init__
(self, dim, num_heads, mlp_ratio=4., qkv_bias=False, qk_scale=None, drop=0., attn_drop=0., dr
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:226
Method__init__
(self, root, list_path, crop_size_3D=(64, 64, 64), max_iters=None)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:15
Method__init__
(self, root, list_path, crop_size_3D=(64, 64, 64))
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:100
Method__len__
(self)
UniMiSS/data_loader3D.py:42
Method__len__
(self)
UniMiSS/data_loader2D.py:39
Method__len__
(self)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:43
Method__len__
(self)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:124
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