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Functions1,098 in github.com/YZY-stack/DF40

⨍ Functions 1,098◇ Types & classes 200
↓ 1 callersFunctiontriangular_affine_matrices
Calculate the affine transformation matrix for each triangle (x,y) vertex from dst_points to src_points :param vertices: array of trip
DeepfakeBench_DF40/training/dataset/utils/faceswap.py:76
↓ 1 callersFunctiontriangular_affine_matrices
Calculate the affine transformation matrix for each triangle (x,y) vertex from dst_points to src_points :param vertices: array of trip
DeepfakeBench_DF40/training/detectors/utils/faceswap.py:76
↓ 1 callersFunctionvalid_idx
(idx, h)
DeepfakeBench_DF40/training/networks/time_transformer.py:136
↓ 1 callersFunctionwarp_by_params
(params, img, can_warp, can_transform, can_flip, border_replicate, cv2_inter=cv2.INTER_CUBIC)
DeepfakeBench_DF40/training/dataset/utils/warp.py:67
↓ 1 callersFunctionwarp_image_2d
(im, M, dshape)
DeepfakeBench_DF40/training/dataset/utils/faceswap.py:130
↓ 1 callersFunctionwarp_image_2d
(im, M, dshape)
DeepfakeBench_DF40/training/detectors/utils/faceswap.py:130
↓ 1 callersFunctionwarp_mask
(mask, std)
DeepfakeBench_DF40/training/dataset/utils/warp.py:108
FunctionAlphaBlend
(foreground, background, alpha)
DeepfakeBench_DF40/training/dataset/utils/faceswap_utils_sladd.py:4
FunctionAlphaBlend
(foreground, background, alpha)
DeepfakeBench_DF40/training/dataset/utils/faceswap_utils.py:4
FunctionAlphaBlend
(foreground, background, alpha)
DeepfakeBench_DF40/training/detectors/utils/faceswap_utils.py:4
FunctionIR_152
Constructs a ir-152 model.
DeepfakeBench_DF40/training/networks/adaface.py:368
FunctionIR_200
Constructs a ir-200 model.
DeepfakeBench_DF40/training/networks/adaface.py:376
FunctionIR_SE_101
Constructs a ir_se-101 model.
DeepfakeBench_DF40/training/networks/adaface.py:392
FunctionIR_SE_152
Constructs a ir_se-152 model.
DeepfakeBench_DF40/training/networks/adaface.py:400
FunctionIR_SE_200
Constructs a ir_se-200 model.
DeepfakeBench_DF40/training/networks/adaface.py:408
Method__call__
(self,img,landmark=None,sri_image=None)
DeepfakeBench_DF40/training/dataset/sbi_api.py:144
Method__getitem__
Returns the data point at the given index. Args: index (int): The index of the data point. Returns:
DeepfakeBench_DF40/training/dataset/abstract_dataset.py:446
Method__getitem__
(self, index)
DeepfakeBench_DF40/training/dataset/sbi_dataset.py:38
Method__getitem__
(self, index, norm=True)
DeepfakeBench_DF40/training/dataset/pair_dataset.py:24
Method__getitem__
(self, key)
DeepfakeBench_DF40/training/metrics/registry.py:14
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_ddpm.py:683
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_sd_lora.py:538
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_kandinsky_decoder_lora.py:485
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_kandinsky_prior_lora.py:476
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_sdxl_lora.py:805
Method__getitem__
(self, idx)
EFS_finetune_code/diffusion_based/train_scripts/train_pixart_lora.py:614
Method__init__
(self, rank)
DeepfakeBench_DF40/training/logger.py:6
Method__init__
(self, params, base_optimizer, rho=0.05, **kwargs)
DeepfakeBench_DF40/training/optimizor/SAM.py:24
Method__init__
(self, optimizer, n_epoch, start_decay, last_epoch=-1)
DeepfakeBench_DF40/training/optimizor/LinearLR.py:6
Method__init__
(self, in_channels, out_channels, kernel_size=1, stride=1, padding=0, dilation=1, bias=False)
DeepfakeBench_DF40/training/networks/xception.py:30
Method__init__
Constructor Args: xception_config: configuration file with the dict format
DeepfakeBench_DF40/training/networks/xception.py:111
Method__init__
(self, fn)
DeepfakeBench_DF40/training/networks/time_transformer.py:11
Method__init__
(self, dim, fn)
DeepfakeBench_DF40/training/networks/time_transformer.py:18
Method__init__
(self, dim, hidden_dim, dropout = 0.)
DeepfakeBench_DF40/training/networks/time_transformer.py:26
Method__init__
(self, dim, heads = 8, dim_head = 64, dropout = 0.)
DeepfakeBench_DF40/training/networks/time_transformer.py:39
Method__init__
(self, dim, depth, heads, dim_head, mlp_dim, dropout = 0.)
DeepfakeBench_DF40/training/networks/time_transformer.py:77
Method__init__
(self)
DeepfakeBench_DF40/training/networks/time_transformer.py:148
Method__init__
(self, *, image_size, patch_size, num_patches, num_classes, dim, depth, heads, mlp_dim, pool = 'cls', channels
DeepfakeBench_DF40/training/networks/time_transformer.py:169
Method__init__
(self,num_patches, num_classes, dim, depth, heads, mlp_dim, pool = 'cls', dim_head = 64, dropout = 0., emb_dro
DeepfakeBench_DF40/training/networks/time_transformer.py:220
Method__init__
config: (dict) configurations for the model load_param: (False | True | Path(str)) False Do not read; True
DeepfakeBench_DF40/training/networks/base_backbone.py:9
Method__init__
(self, resnet_config)
DeepfakeBench_DF40/training/networks/resnet34.py:22
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)
DeepfakeBench_DF40/training/networks/iresnet.py:34
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DeepfakeBench_DF40/training/networks/cls_hrnet.py:78
Method__init__
(self, num_branches, blocks, num_blocks, num_inchannels, num_channels, fuse_method, multi_sc
DeepfakeBench_DF40/training/networks/cls_hrnet.py:117
Method__init__
(self, cfg)
DeepfakeBench_DF40/training/networks/cls_hrnet.py:266
Method__init__
(self, mesoInception4_config)
DeepfakeBench_DF40/training/networks/mesonet.py:89
Method__init__
(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)
DeepfakeBench_DF40/training/networks/iresnet_iid.py:32
Method__init__
(self, c_in, c_out, ks, stride=1, padding=0, dilation=1, bias=False)
DeepfakeBench_DF40/training/networks/xception_ffd.py:9
Method__init__
(self, c_in)
DeepfakeBench_DF40/training/networks/xception_ffd.py:71
Method__init__
(self, c_in, templates)
DeepfakeBench_DF40/training/networks/xception_ffd.py:82
Method__init__
(self, templates)
DeepfakeBench_DF40/training/networks/xception_ffd.py:102
Method__init__
(self, maptype, templates, num_classes=1000)
DeepfakeBench_DF40/training/networks/xception_ffd.py:129
Method__init__
(self, maptype='None', templates=None, num_classes=2, load_pretrain=True)
DeepfakeBench_DF40/training/networks/xception_ffd.py:240
Method__init__
(self, losses, weights, verbose=False)
DeepfakeBench_DF40/training/networks/vgg.py:23
Method__init__
(self, p, reduction='mean', eps=1e-8)
DeepfakeBench_DF40/training/networks/vgg.py:60
Method__init__
(self, model='vgg16', layer=8, shift=0, reduction='mean')
DeepfakeBench_DF40/training/networks/vgg.py:111
Method__init__
(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)
DeepfakeBench_DF40/training/networks/adaface.py:59
Method__init__
(self, in_c)
DeepfakeBench_DF40/training/networks/adaface.py:73
Method__init__
(self, channels, reduction)
DeepfakeBench_DF40/training/networks/adaface.py:116
Method__init__
(self, in_channel, depth, stride)
DeepfakeBench_DF40/training/networks/adaface.py:145
Method__init__
(self, in_channel, depth, stride)
DeepfakeBench_DF40/training/networks/adaface.py:171
Method__init__
(self, in_channel, depth, stride)
DeepfakeBench_DF40/training/networks/adaface.py:199
Method__init__
(self, in_channel, depth, stride)
DeepfakeBench_DF40/training/networks/adaface.py:205
Method__init__
Args: input_size: input_size of backbone num_layers: num_layers of backbone mode: support ir or irse
DeepfakeBench_DF40/training/networks/adaface.py:268
Method__init__
(self, in_channels, out_channels, kernel_size=1, stride=1, padding=0, dilation=1, bias=False)
DeepfakeBench_DF40/training/networks/xception_sladd.py:31
Method__init__
(self, c_in)
DeepfakeBench_DF40/training/networks/xception_sladd.py:46
Method__init__
Constructor Args: num_classes: number of classes
DeepfakeBench_DF40/training/networks/xception_sladd.py:119
Method__init__
(self, efficientnetb4_config)
DeepfakeBench_DF40/training/networks/efficientnetb4.py:19
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DeepfakeBench_DF40/training/networks/resnet.py:63
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DeepfakeBench_DF40/training/networks/resnet.py:95
Method__init__
(self, inplanes, planes, stride=1, downsample=None, use_se=True)
DeepfakeBench_DF40/training/networks/resnet.py:128
Method__init__
(self, inplanes, planes, stride=1, downsample=None, use_se=True)
DeepfakeBench_DF40/training/networks/resnet.py:166
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
DeepfakeBench_DF40/training/networks/resnet.py:212
Method__init__
(self, channel, reduction=16)
DeepfakeBench_DF40/training/networks/resnet.py:250
Method__init__
(self, block, layers, use_se=True, inc=3)
DeepfakeBench_DF40/training/networks/resnet.py:268
Method__init__
(self, block, layers, basedim=32, inc=1)
DeepfakeBench_DF40/training/networks/resnet.py:353
Method__init__
(self,phase='train',image_size=256)
DeepfakeBench_DF40/training/dataset/sbi_api.py:132
Method__init__
Initializes the dataset object. Args: config (dict): A dictionary containing configuration parameters. mode (str): A
DeepfakeBench_DF40/training/dataset/abstract_dataset.py:47
Method__init__
(self, config=None, mode='train')
DeepfakeBench_DF40/training/dataset/sbi_dataset.py:25
Method__init__
(self, always_apply=False, p=0.5)
DeepfakeBench_DF40/training/dataset/albu.py:46
Method__init__
(self, min_max_height, w2h_ratio=[0.7, 1.3], always_apply=False, p=0.5)
DeepfakeBench_DF40/training/dataset/albu.py:60
Method__init__
(self, config=None, mode='train')
DeepfakeBench_DF40/training/dataset/pair_dataset.py:16
Method__init__
(self, landmarks, face, channels=4)
DeepfakeBench_DF40/training/dataset/library/DeepFakeMask.py:47
Method__init__
(self)
DeepfakeBench_DF40/training/dataset/library/bi_online_generation.py:109
Method__init__
(self)
DeepfakeBench_DF40/training/dataset/utils/image_ae.py:13
Method__init__
(self, width)
DeepfakeBench_DF40/training/dataset/utils/image_ae.py:21
Method__init__
(self, latent_dim=256)
DeepfakeBench_DF40/training/dataset/utils/image_ae.py:33
Method__init__
(self, latent_dim, output_dim=3)
DeepfakeBench_DF40/training/dataset/utils/image_ae.py:71
Method__init__
(self, landmarks, face, channels=4, idx = 0)
DeepfakeBench_DF40/training/dataset/utils/DeepFakeMask.py:123
Method__init__
(self)
DeepfakeBench_DF40/training/dataset/utils/bi_online_generation_yzy.py:174
Method__init__
(self)
DeepfakeBench_DF40/training/dataset/utils/bi_online_generation.py:157
Method__init__
(self)
DeepfakeBench_DF40/training/metrics/base_metrics_class.py:62
Method__init__
(self)
DeepfakeBench_DF40/training/metrics/base_metrics_class.py:153
Method__init__
(self)
DeepfakeBench_DF40/training/metrics/base_metrics_class.py:192
Method__init__
(self)
DeepfakeBench_DF40/training/metrics/registry.py:2
Method__init__
(self, channels, kernel_size, sigma=0.1, dim=2)
DeepfakeBench_DF40/training/lib/component/gaussian_ops.py:24
Method__init__
(self, in_planes, ratio=8)
DeepfakeBench_DF40/training/lib/component/attention.py:9
Method__init__
(self, kernel_size=7)
DeepfakeBench_DF40/training/lib/component/attention.py:31
Method__init__
(self, in_dim, activation=None, ratio=8, cross_value=True)
DeepfakeBench_DF40/training/lib/component/attention.py:104
Method__init__
(self, in_dim, activation=None, size=16, ratio=8, ret_att=False)
DeepfakeBench_DF40/training/lib/component/attention.py:160
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