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Functions973 in github.com/YtongXie/UniMiSS-code

⨍ Functions 973◇ Types & classes 173
↓ 1 callersMethod__init__
(self, params, lr=0, weight_decay=0, momentum=0.9, eta=0.001, weight_decay_filter=None, lars_
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:489
↓ 1 callersMethod__init__
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:29
↓ 1 callersMethod_internal_predict_3D_2Dconv
(self, x: np.ndarray, min_size: Tuple[int, int], do_mirroring: bool, mirro
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:733
↓ 1 callersMethod_internal_predict_3D_2Dconv
(self, x: np.ndarray, min_size: Tuple[int, int], do_mirroring: bool, mirro
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:733
↓ 1 callersMethod_internal_predict_3D_2Dconv_tiled
(self, x: np.ndarray, patch_size: Tuple[int, int], do_mirroring: bool,
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:783
↓ 1 callersMethod_internal_predict_3D_2Dconv_tiled
(self, x: np.ndarray, patch_size: Tuple[int, int], do_mirroring: bool,
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:783
↓ 1 callersMethod_internal_predict_3D_3Dconv
This one does fully convolutional inference. No sliding window
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:463
↓ 1 callersMethod_internal_predict_3D_3Dconv
This one does fully convolutional inference. No sliding window
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:463
↓ 1 callersMethod_internal_predict_3D_3Dconv_tiled
(self, x: np.ndarray, step_size: float, do_mirroring: bool, mirror_axes: tuple,
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /neural_network.py:291
↓ 1 callersMethod_internal_predict_3D_3Dconv_tiled
(self, x: np.ndarray, step_size: float, do_mirroring: bool, mirror_axes: tuple,
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/neural_network.py:291
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSS/utils.py:444
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:444
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSS/Downstream/RICORD/nets/utils.py:7
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSSPlus/utils.py:573
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:462
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:462
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:444
↓ 1 callersFunction_no_grad_trunc_normal_
(tensor, mean, std, a, b)
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:9
↓ 1 callersFunctionadjust_learning_rate
(optimizer, all_STEPS, i_iter)
UniMiSSPlus/Downstream/2D/Cls/main.py:74
↓ 1 callersFunctionadjust_learning_rate
(optimizer, i_iter)
UniMiSSPlus/Downstream/2D/Seg/main.py:75
↓ 1 callersFunctioncla_evaluate
(label, binary_score, pro_score)
UniMiSS/Downstream/RICORD/train.py:79
↓ 1 callersFunctioncla_evaluate
(label, binary_score, pro_score)
UniMiSS/Downstream/RICORD/test.py:45
↓ 1 callersFunctioncla_evaluate
(label, binary_score, pro_score)
UniMiSSPlus/Downstream/2D/Cls/main.py:79
↓ 1 callersFunctioncla_evaluate
(label, binary_score, pro_score)
UniMiSSPlus/Downstream/3D/RICORD/train.py:79
↓ 1 callersFunctioncla_evaluate
(label, binary_score, pro_score)
UniMiSSPlus/Downstream/3D/RICORD/test.py:45
↓ 1 callersFunctionconv3x3
3x3 convolution with padding
UniMiSS/models/Pacth_embeds.py:35
↓ 1 callersFunctionconv3x3x3
3x3x3 convolution with padding
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:26
↓ 1 callersFunctionconv3x3x3
3x3x3 convolution with padding
UniMiSS/Downstream/RICORD/nets/utils.py:113
↓ 1 callersFunctionconv3x3x3
3x3x3 convolution with padding
UniMiSS/models/Pacth_embeds.py:28
↓ 1 callersFunctionconv3x3x3
3x3x3 convolution with padding
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:115
↓ 1 callersFunctionconvertRot3x3ToRPY
(R_Nx3x3, is_radians=False, eps=np.finfo(float).eps)
UniMiSSPlus/pycuda_drr/pydrr/utils.py:237
↓ 1 callersFunctionconvertTransRotTo4x4
(transrot_Nx6, is_radians=False)
UniMiSSPlus/pycuda_drr/pydrr/utils.py:166
↓ 1 callersMethodcrop_scale0
(self, image)
UniMiSS/data_loader3D.py:55
↓ 1 callersMethodcrop_scale0
(self, image)
UniMiSSPlus/data_loader3D2D.py:59
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT_encoder.py:102
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /MiT.py:72
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSS/Downstream/RICORD/nets/utils.py:79
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSS/models/MiT_encoder.py:11
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSS/models/MiT.py:11
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/MiTplus.py:66
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/2D/Cls/net/MiTPlus_encoder.py:49
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus.py:51
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/2D/Seg/net/MiTPlus_encoder.py:47
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/MiTPlus.py:40
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/3D/RICORD/nets/MiTPlus.py:41
↓ 1 callersFunctiondrop_path
(x, drop_prob: float = 0., training: bool = False)
UniMiSSPlus/Downstream/3D/RICORD/nets/utils.py:81
↓ 1 callersMethodfind_lr
stolen and adapted from here: https://sgugger.github.io/how-do-you-find-a-good-learning-rate.html :param num_iters: :param in
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:677
↓ 1 callersMethodfind_lr
stolen and adapted from here: https://sgugger.github.io/how-do-you-find-a-good-learning-rate.html :param num_iters: :param in
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:677
↓ 1 callersMethodfinish_online_evaluation
Can be implemented, does not have to :return:
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /network_trainer.py:666
↓ 1 callersMethodfinish_online_evaluation
Can be implemented, does not have to :return:
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/network_trainer.py:666
↓ 1 callersMethodforward2D
(self, x, modal_type)
UniMiSS/models/MiT_encoder.py:423
↓ 1 callersMethodforward2D
(self, inputs, modal_type)
UniMiSS/models/MiT.py:385
↓ 1 callersMethodforward2D
(self, x, modal_type)
UniMiSSPlus/MiTplus.py:551
↓ 1 callersMethodforward2D
(self, inputs, modal_type)
UniMiSSPlus/MiTplus.py:916
↓ 1 callersMethodforward3D
(self, x, modal_type)
UniMiSS/models/MiT_encoder.py:481
↓ 1 callersMethodforward3D
(self, inputs, modal_type)
UniMiSS/models/MiT.py:432
↓ 1 callersMethodforward3D
(self, x, modal_type)
UniMiSSPlus/MiTplus.py:611
↓ 1 callersMethodforward3D
(self, inputs, modal_type)
UniMiSSPlus/MiTplus.py:966
↓ 1 callersFunctionget_args_parser
()
UniMiSS/main.py:25
↓ 1 callersFunctionget_args_parser
()
UniMiSSPlus/main_UniMissPlus.py:24
↓ 1 callersMethodget_basic_generators
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainerCascadeFullRes.py:74
↓ 1 callersMethodget_basic_generators
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainerV2_CascadeFullRes.py:74
↓ 1 callersMethodget_basic_generators
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainerCascadeFullRes.py:74
↓ 1 callersMethodget_basic_generators
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainerV2_CascadeFullRes.py:74
↓ 1 callersMethodget_cpu_array
(cls, array)
UniMiSSPlus/pycuda_drr/pydrr/ext/CupyContextBridge.py:13
↓ 1 callersFunctionget_default_configuration
(outname, network, task, network_trainer, plans_identifier=default_plans_identifier,
UniMiSS/Downstream/BCV/MiTnnu/run /default_configuration.py:19
↓ 1 callersFunctionget_default_configuration
(outname, network, task, network_trainer, plans_identifier=default_plans_identifier,
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/run/default_configuration.py:19
↓ 1 callersMethodget_function
(self, name)
UniMiSSPlus/pycuda_drr/pydrr/KernelModule.py:20
↓ 1 callersMethodget_pointer
(cls, array)
UniMiSSPlus/pycuda_drr/pydrr/ext/CupyContextBridge.py:5
↓ 1 callersFunctionget_rank
()
UniMiSS/utils.py:380
↓ 1 callersFunctionget_rank
()
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:380
↓ 1 callersFunctionget_rank
()
UniMiSSPlus/utils.py:498
↓ 1 callersFunctionget_rank
()
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:387
↓ 1 callersFunctionget_rank
()
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:387
↓ 1 callersFunctionget_rank
()
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:380
↓ 1 callersMethodget_shape
(cls, array)
UniMiSSPlus/pycuda_drr/pydrr/ext/CupyContextBridge.py:9
↓ 1 callersFunctionget_train_transform2D_global0
(crop_size)
UniMiSS/data_loader2D.py:56
↓ 1 callersFunctionget_train_transform2D_global0
(crop_size)
UniMiSSPlus/data_loader2D.py:61
↓ 1 callersFunctionget_train_transform2D_global0
(crop_size)
UniMiSSPlus/data_loader3D2D.py:256
↓ 1 callersFunctionget_train_transform2D_global1
(crop_size)
UniMiSS/data_loader2D.py:70
↓ 1 callersFunctionget_train_transform2D_global1
(crop_size)
UniMiSSPlus/data_loader2D.py:75
↓ 1 callersFunctionget_train_transform2D_global1
(crop_size)
UniMiSSPlus/data_loader3D2D.py:270
↓ 1 callersFunctionget_train_transform2D_local
(crop_size)
UniMiSSPlus/data_loader2D.py:89
↓ 1 callersFunctionget_train_transform3D
(patch_size)
UniMiSS/Downstream/RICORD/dataset/mydataset3D.py:158
↓ 1 callersFunctionget_train_transform3D
(patch_size)
UniMiSSPlus/Downstream/3D/RICORD/dataset/mydataset3D.py:158
↓ 1 callersFunctionget_train_transform3D_global0
()
UniMiSS/data_loader3D.py:170
↓ 1 callersFunctionget_train_transform3D_global0
()
UniMiSSPlus/data_loader3D2D.py:228
↓ 1 callersFunctionget_train_transform3D_global1
()
UniMiSS/data_loader3D.py:184
↓ 1 callersFunctionget_train_transform3D_global1
()
UniMiSSPlus/data_loader3D2D.py:242
↓ 1 callersFunctionget_world_size
()
UniMiSS/utils.py:374
↓ 1 callersFunctionget_world_size
()
UniMiSS/Downstream/BCV/MiTnnu/network_architecture /utils.py:374
↓ 1 callersFunctionget_world_size
()
UniMiSSPlus/utils.py:492
↓ 1 callersFunctionget_world_size
()
UniMiSSPlus/Downstream/2D/Cls/net/utils.py:381
↓ 1 callersFunctionget_world_size
()
UniMiSSPlus/Downstream/2D/Seg/net/utils.py:381
↓ 1 callersFunctionget_world_size
()
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/network_architecture/utils.py:374
↓ 1 callersFunctioninitialize
()
UniMiSSPlus/pycuda_drr/pydrr/KernelManager.py:24
↓ 1 callersMethodinitialize_network
This is specific to the U-Net and must be adapted for other network architectures :return:
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainer.py:234
↓ 1 callersMethodinitialize_network
This is specific to the U-Net and must be adapted for other network architectures :return:
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainer.py:234
↓ 1 callersMethodinitialize_optimizer_and_scheduler
(self)
UniMiSS/Downstream/BCV/MiTnnu/training/network_training /nnUNetTrainer.py:267
↓ 1 callersMethodinitialize_optimizer_and_scheduler
(self)
UniMiSSPlus/Downstream/3D/BCV/MiTnnu/training/network_training/nnUNetTrainer.py:267
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