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Functions65 in github.com/HuCaoFighting/Swin-Unet

⨍ Functions 65◇ Types & classes 15
↓ 10 callersMethod__init__
(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:27
↓ 3 callersMethodflops
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:466
↓ 2 callersFunctionchain
(lst: list[list])
make_dataset_txt.py:28
↓ 2 callersFunctionget_config
Get a yacs CfgNode object with default values.
config.py:222
↓ 2 callersFunctionwindow_partition
Args: x: (B, H, W, C) window_size (int): window size Returns: windows: (num_windows*B, window_size, window_size, C)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:45
↓ 1 callersMethod_dice_loss
(self, score, target)
utils.py:22
↓ 1 callersMethod_one_hot_encoder
(self, input_tensor)
utils.py:14
↓ 1 callersFunction_update_config_from_file
(config, cfg_file)
config.py:175
↓ 1 callersFunctioncalculate_metric_percase
(pred, gt)
utils.py:48
↓ 1 callersMethodforward_features
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:727
↓ 1 callersMethodforward_up_features
(self, x, x_downsample)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:743
↓ 1 callersFunctioninference
(args, model, test_save_path=None)
test.py:72
↓ 1 callersMethodload_from
(self, config)
networks/vision_transformer.py:53
↓ 1 callersFunctionnpz_csv
()
make_dataset_txt.py:35
↓ 1 callersFunctionrandom_rot_flip
(image, label)
datasets/dataset_synapse.py:12
↓ 1 callersFunctionrandom_rotate
(image, label)
datasets/dataset_synapse.py:22
↓ 1 callersFunctiontest_single_volume
(image, label, net, classes, patch_size=[256, 256], test_save_path=None, case=None, z_spacing=1)
utils.py:61
↓ 1 callersFunctiontrainer_synapse
(args, model, snapshot_path)
trainer.py:18
↓ 1 callersMethodup_x4
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:756
↓ 1 callersFunctionupdate_config
(config, args)
config.py:190
↓ 1 callersFunctionwindow_reverse
Args: windows: (num_windows*B, window_size, window_size, C) window_size (int): Window size H (int): Height of image
networks/swin_transformer_unet_skip_expand_decoder_sys.py:60
Method__call__
(self, sample)
datasets/dataset_synapse.py:33
Method__getitem__
(self, idx)
datasets/dataset_synapse.py:60
Method__init__
(self, n_classes)
utils.py:10
Method__init__
(self, dim, hidden_dim, num_experts)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:9
Method__init__
(self, dim, window_size, num_heads, qkv_bias=True, qk_scale=None, attn_drop=0., proj_drop=0.)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:91
Method__init__
(self, dim, input_resolution, num_heads, window_size=7, shift_size=0, mlp_ratio=4., qkv_bias=
networks/swin_transformer_unet_skip_expand_decoder_sys.py:194
Method__init__
(self, input_resolution, dim, norm_layer=nn.LayerNorm)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:312
Method__init__
(self, input_resolution, dim, dim_scale=2, norm_layer=nn.LayerNorm)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:353
Method__init__
(self, input_resolution, dim, dim_scale=4, norm_layer=nn.LayerNorm)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:378
Method__init__
(self, dim, input_resolution, depth, num_heads, window_size, mlp_ratio=4., qkv_bias=True, qk_
networks/swin_transformer_unet_skip_expand_decoder_sys.py:425
Method__init__
(self, dim, input_resolution, depth, num_heads, window_size, mlp_ratio=4., qkv_bias=True, qk_
networks/swin_transformer_unet_skip_expand_decoder_sys.py:495
Method__init__
(self, img_size=224, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:545
Method__init__
(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000, embed_dim=96, depths=[2, 2,
networks/swin_transformer_unet_skip_expand_decoder_sys.py:608
Method__init__
(self, config, img_size=224, num_classes=21843, zero_head=False, vis=False)
networks/vision_transformer.py:24
Method__init__
(self, output_size)
datasets/dataset_synapse.py:30
Method__init__
(self, base_dir, list_dir, split, transform=None)
datasets/dataset_synapse.py:51
Method__len__
(self)
datasets/dataset_synapse.py:57
Method_init_weights
(self, m)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:709
Methodextra_repr
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:158
Methodextra_repr
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:284
Methodextra_repr
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:342
Methodextra_repr
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:463
Methodflops
(self, N)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:161
Methodflops
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:288
Methodflops
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:345
Methodflops
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:574
Methodflops
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:776
Methodforward
(self, inputs, target, weight=None, softmax=False)
utils.py:32
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:17
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:36
Methodforward
Args: x: input features with shape of (num_windows*B, N, C) mask: (0/-inf) mask with shape of (num_windows, Wh*Ww, Wh
networks/swin_transformer_unet_skip_expand_decoder_sys.py:125
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:245
Methodforward
x: B, H*W, C
networks/swin_transformer_unet_skip_expand_decoder_sys.py:319
Methodforward
x: B, H*W, C
networks/swin_transformer_unet_skip_expand_decoder_sys.py:360
Methodforward
x: B, H*W, C
networks/swin_transformer_unet_skip_expand_decoder_sys.py:387
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:453
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:523
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:564
Methodforward
(self, x)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:769
Methodforward
(self, x)
networks/vision_transformer.py:47
Methodno_weight_decay
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:719
Methodno_weight_decay_keywords
(self)
networks/swin_transformer_unet_skip_expand_decoder_sys.py:723
Functionprocess_file
(config, split_path, filepath, file_samples)
make_dataset_txt.py:88
Functionworker_init_fn
(worker_id)
trainer.py:36