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Functions506 in github.com/dek924/PerX2CT

⨍ Functions 506◇ Types & classes 129
Method__init__
(self, batch_size, train=None, validation=None, test=None, wrap=False, num_workers=None)
main.py:149
Method__init__
(self, batch_size, train=None, validation=None, test=None, wrap=False, num_workers=None)
main.py:193
Method__init__
(self, resume, now, logdir, ckptdir, cfgdir, config, lightning_config)
main.py:207
Method__init__
Args: save_epoch_frequency: how often to save in epochs prefix: add a prefix to the name, only used if
main.py:255
Method__init__
(self, root, is_print=True)
utils/logger/TestLogger.py:28
Method__init__
(self, save_root, log_file='log.log', is_print=True)
utils/logger/TestLogger.py:41
Method__init__
(self, params)
x2ct_nerf/modules/INREncoderZoomAxisInAlign.py:18
Method__init__
(self, params)
x2ct_nerf/modules/INRGLEncoderZoomAxisInAlign.py:20
Method__init__
(self, **kwargs)
x2ct_nerf/modules/nerf/nerf_helpers.py:6
Method__init__
x2ct_nerf/modules/nerf/model.py:17
Method__init__
(self)
x2ct_nerf/modules/diffusionmodules/model.py:40
Method__init__
(self, in_channels, with_conv)
x2ct_nerf/modules/diffusionmodules/model.py:49
Method__init__
(self, in_channels, with_conv)
x2ct_nerf/modules/diffusionmodules/model.py:67
Method__init__
(self, *, in_channels, out_channels=None, conv_shortcut=False, dropout, temb_channels=512)
x2ct_nerf/modules/diffusionmodules/model.py:89
Method__init__
(self, *, in_channels, out_channels=None, conv_shortcut=False, dropout, temb_channels=512, sk
x2ct_nerf/modules/diffusionmodules/model.py:151
Method__init__
(self, in_channels)
x2ct_nerf/modules/diffusionmodules/model.py:230
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:430
Method__init__
(self)
x2ct_nerf/modules/diffusionmodules/model.py:525
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:533
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:655
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:777
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:919
Method__init__
(self, *, ch, out_ch, ch_mult=(1, 2, 4, 8), num_res_blocks, attn_resolutions, dropout=0.0, re
x2ct_nerf/modules/diffusionmodules/model.py:1089
Method__init__
(self, in_channels, out_channels, *args, **kwargs)
x2ct_nerf/modules/diffusionmodules/model.py:1242
Method__init__
(self, in_channels, out_channels, ch, num_res_blocks, resolution, ch_mult=(2, 2), dropout=0.0
x2ct_nerf/modules/diffusionmodules/model.py:1278
Method__init__
(self)
x2ct_nerf/modules/discriminator/base.py:9
Method__init__
(self, output_channels)
x2ct_nerf/modules/discriminator/base.py:15
Method__init__
(self, in_channels, out_channels, with_r=False, **kwargs)
x2ct_nerf/modules/discriminator/base.py:75
Method__init__
(self, inplanes, planes, kernel_size=3, stride=1, downsample=False, groups=1)
x2ct_nerf/modules/discriminator/base.py:89
Method__init__
(self)
x2ct_nerf/modules/discriminator/model.py:6
Method__init__
x2ct_nerf/modules/inr/model_global.py:13
Method__init__
x2ct_nerf/modules/inr/model.py:13
Method__init__
(self, perceptual_weight=1.0, ct_min_max=[0, 2500])
x2ct_nerf/modules/losses/evaluation.py:8
Method__init__
(self, disc_start, codebook_weight=1.0, pixelloss_weight=1.0, disc_num_layers=3, disc_in_chan
x2ct_nerf/modules/losses/vqperceptual.py:35
Method__init__
(self, disc_start, codebook_weight=1.0, pixelloss_weight=1.0, disc_num_layers=3, disc_in_chan
x2ct_nerf/modules/losses/vqperceptual.py:144
Method__init__
(self, disc_start, fade_steps=10000, disc_factor=1.0, nll_factor=1.0, percep
x2ct_nerf/modules/losses/perceptual.py:43
Method__init__
(self)
x2ct_nerf/modules/losses/lpips.py:58
Method__init__
(self, chn_in, chn_out=1, use_dropout=False)
x2ct_nerf/modules/losses/lpips.py:69
Method__init__
(self, requires_grad=False, pretrained=True)
x2ct_nerf/modules/losses/lpips.py:77
Method__init__
(self, cfg)
x2ct_nerf/modules/image_encoder/resnet.py:39
Method__init__
(self, cfg)
x2ct_nerf/modules/image_encoder/resnet.py:134
Method__init__
(self, pretrained=True, in_channels=3, out_channels=1, latent_dim=128, input_img_size=320, **kwargs)
x2ct_nerf/modules/image_encoder/resnet.py:256
Method__init__
(self, cfg)
x2ct_nerf/modules/image_encoder/resnet_global.py:6
Method__init__
(self, transforms)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:17
Method__init__
(self, transforms)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:27
Method__init__
(self, index)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:57
Method__init__
(self, size=(256,256))
x2ct_nerf/preprocessing/X2CT_transform_3d.py:82
Method__init__
(self, size=(3,256,256))
x2ct_nerf/preprocessing/X2CT_transform_3d.py:116
Method__init__
(self, index, probability=0.5)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:134
Method__init__
(self, loc)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:173
Method__init__
:param min: :param max: :param round_v: decrease calculating time
x2ct_nerf/preprocessing/X2CT_transform_3d.py:200
Method__init__
(self, min, max)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:225
Method__init__
(self, mean, std)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:244
Method__init__
(self, min=0, max=255)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:262
Method__init__
(self, aim_num)
x2ct_nerf/preprocessing/X2CT_transform_3d.py:278
Method__init__
(self, size, training_images_list_file, dataset_class, opt)
x2ct_nerf/data/LIDC.py:19
Method__init__
(self, size, test_images_list_file, dataset_class, opt)
x2ct_nerf/data/LIDC.py:29
Method__init__
(self, paths, opt: dict, size=None, labels=None, num_ctslice_per_item=1)
x2ct_nerf/data/base.py:15
Method__init__
(self, ddconfig, lossconfig, n_embed, embe
x2ct_nerf/models/zoom_aegan.py:13
Method__init__
(self, lossconfig, ckpt_path=None, ignore_keys=[],
x2ct_nerf/models/base.py:15
Method__init__
(self, ddconfig, lossconfig, n_embed, embe
x2ct_nerf/models/aegan.py:213
Method__init__
(self, ddconfig, lossconfig, n_embed, embe
x2ct_nerf/models/aegan.py:357
Method__init__
(self, ddconfig, lossconfig, n_embed, embe
x2ct_nerf/models/aegan.py:530
Method__init__
(self, ddconfig, lossconfig, n_embed, embe
x2ct_nerf/models/aegan.py:673
Method__init__
(self, warm_up_steps, lr_min, lr_max, lr_start, max_decay_steps, verbosity_interval=0)
taming/lr_scheduler.py:8
Method__init__
(self, cause, keys=None, visited=None)
taming/util.py:48
Method__init__
(self)
taming/modules/util.py:96
Method__init__
(self, n_classes, quantize_interface=True)
taming/modules/util.py:105
Method__init__
(self, sos_token, quantize_interface=True)
taming/modules/util.py:119
Method__init__
(self, in_channels, with_conv)
taming/modules/diffusionmodules/model.py:39
Method__init__
(self, in_channels, with_conv)
taming/modules/diffusionmodules/model.py:57
Method__init__
(self, *, in_channels, out_channels=None, conv_shortcut=False, dropout, temb_channels=512)
taming/modules/diffusionmodules/model.py:79
Method__init__
(self, in_channels)
taming/modules/diffusionmodules/model.py:141
Method__init__
(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, attn_resolutions, dropout=0.0, resam
taming/modules/diffusionmodules/model.py:343
Method__init__
(self, **ignorekwargs)
taming/modules/diffusionmodules/model.py:438
Method__init__
(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, attn_resolutions, dropout=0.0, resam
taming/modules/diffusionmodules/model.py:444
Method__init__
(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks, attn_resolutions, dropout=0.0, resam
taming/modules/diffusionmodules/model.py:548
Method__init__
(self, in_channels, out_channels, *args, **kwargs)
taming/modules/diffusionmodules/model.py:702
Method__init__
(self, in_channels, out_channels, ch, num_res_blocks, resolution, ch_mult=(2,2), dropout=0.0)
taming/modules/diffusionmodules/model.py:738
Method__init__
Construct a PatchGAN discriminator Parameters: input_nc (int) -- the number of channels in input images ndf (int)
taming/modules/discriminator/model.py:21
Method__init__
(self, n_e, e_dim, beta)
taming/modules/vqvae/quantize.py:25
Method__init__
(self, num_hiddens, embedding_dim, n_embed, straight_through=True, kl_weight=5e-4, temp_init=
taming/modules/vqvae/quantize.py:117
Method__init__
(self, n_e, e_dim, beta, remap=None, unknown_index="random", sane_index_shape=False, legacy=T
taming/modules/vqvae/quantize.py:223
Method__init__
(self, n_embed, embedding_dim, beta, decay=0.99, eps=1e-5, remap=None, unknown_index="random")
taming/modules/vqvae/quantize.py:364
Method__init__
(self, n_embed, down_factor)
taming/modules/misc/coord.py:4
Method__init__
(self, vocab_size, block_size, **kwargs)
taming/modules/transformer/mingpt.py:28
Method__init__
(self, config)
taming/modules/transformer/mingpt.py:49
Method__init__
(self, config)
taming/modules/transformer/mingpt.py:100
Method__init__
(self, add_value=1)
taming/modules/transformer/mingpt.py:217
Method__init__
(self, vocab_size, block_size, in_channels, n_layer=12, n_head=8, n_embd=256, embd_pdrop=0.,
taming/modules/transformer/mingpt.py:227
Method__init__
(self, ncluster=512, nc=3, niter=10)
taming/modules/transformer/mingpt.py:357
Method__init__
(self, *args, **kwargs)
taming/modules/transformer/permuter.py:7
Method__init__
(self)
taming/modules/transformer/permuter.py:14
Method__init__
(self, H, W)
taming/modules/transformer/permuter.py:22
Method__init__
(self, H, W)
taming/modules/transformer/permuter.py:82
Method__init__
(self, H, W)
taming/modules/transformer/permuter.py:142
Method__init__
(self, H, W)
taming/modules/transformer/permuter.py:203
Method__init__
(self, H, W)
taming/modules/transformer/permuter.py:218
Method__init__
(self, disc_start, codebook_weight=1.0, pixelloss_weight=1.0, disc_num_layers=3, disc_in_chan
taming/modules/losses/vqperceptual.py:35
Method__init__
(self)
taming/modules/losses/lpips.py:58
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