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Functions1,100 in github.com/OpenTalker/StyleHEAT

⨍ Functions 1,100◇ Types & classes 196

(self, image_list, model_3dmm)

data/inference_dataset.py:15

(self, video_list, model_3dmm, if_align=False, cross_id=False, image_list=None, resize=256)

data/inference_dataset.py:62

(self, opt, is_inference)

data/vox_dataset.py:25

(self, file_name: str = None, file_mode: str = "w", should_flush: bool = True)

dnnlib/util.py:59

( self, opt, net_G, net_G_ema, opt_G, sch_G, train_dat

trainers/base_trainer.py:34

( self, opt, net_G, net_G_ema, opt_G, sch_G, train_dat

trainers/video_styleheat_trainer.py:20

( self, opt, net_G, net_G_ema, opt_G, sch_G, train_dat

trainers/video_warper_trainer.py:21

(self, in_channel, depth, stride)

models/e4e/helpers.py:77

(self, in_channel, depth, stride)

models/e4e/helpers.py:99

(self, in_c, out_c, spatial)

models/e4e/e4e.py:33

(self, num_layers, mode='ir', stylegan_size=1024)

models/e4e/e4e.py:57

(self, in_channels, out_channels, kernel_size,

models/styleheat/calibration_net.py:55

(self, in_channels, out_channels)

models/styleheat/calibration_net.py:112

( self, out_size, input_channel, num_style_feat=512, channel_multiplie

models/styleheat/calibration_net.py:129

( self, input_nc, descriptor_nc, layer, base_nc, max_nc,

models/styleheat/calibration_net.py:242

(self, n_out, affine=True)

models/styleheat/base_function.py:9

(self, image_nc, pose_nc, ngf, img_f, encoder_layers, decoder_layers, nonlinearity, use_spect)

models/styleheat/base_function.py:29

(self, image_nc, pose_nc, ngf, img_f, layers, nonlinearity=nn.LeakyReLU(), use_spect=False)

models/styleheat/base_function.py:40

(self, pose_nc, ngf, img_f, encoder_layers, decoder_layers, skip_connect=True, nonlinearity=n

models/styleheat/base_function.py:64

(self, input_nc, output_nc, feature_nc, nonlinearity=nn.LeakyReLU(), use_spect=False)

models/styleheat/base_function.py:93

(self, input_nc, output_nc, hidden_nc, feature_nc, use_transpose=True, nonlinearity=nn.LeakyReLU(),

models/styleheat/base_function.py:112

(self, norm_nc, feature_nc)

models/styleheat/base_function.py:161

(self, image_nc, ngf, img_f, layers, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(),

models/styleheat/base_function.py:196

(self, image_nc, feature_nc, ngf, img_f, layers, num_block, norm_layer=nn.BatchNorm2d, nonlin

models/styleheat/base_function.py:221

(self, image_nc, feature_nc, ngf, img_f, layers, num_block, norm_layer=nn.BatchNorm2d, nonlin

models/styleheat/base_function.py:256

(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False)

models/styleheat/base_function.py:295

(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False)

models/styleheat/base_function.py:311

(self, input_nc, output_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spect=False)

models/styleheat/base_function.py:329

(self, num_block, input_nc, feature_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(),

models/styleheat/base_function.py:344

(self, input_nc, feature_nc, norm_layer=nn.BatchNorm2d, nonlinearity=nn.LeakyReLU(), use_spec

models/styleheat/base_function.py:380

(self, input_nc, output_nc, use_spect=False, tanh_or_sigmoid='tanh')

models/styleheat/base_function.py:404

models/styleheat/warper.py:13

models/styleheat/warper.py:50

( self, image_nc, descriptor_nc, base_nc, max_nc, encoder_laye

models/styleheat/warper.py:109

(self, opt, path_dic)

models/styleheat/styleheat.py:16

models/hfgi/hfgi.py:21

models/hfgi/editing.py:27

(self, opts=None)

models/hfgi/backbone.py:50

models/stylegan2/model.py:12

(self, kernel, factor=2)

models/stylegan2/model.py:31

(self, kernel, factor=2)

models/stylegan2/model.py:52

( self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True )

models/stylegan2/model.py:92

( self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None )

models/stylegan2/model.py:130

(self, negative_slope=0.2)

models/stylegan2/model.py:167

( self, in_channel, out_channel, kernel_size, style_dim, demod

models/stylegan2/model.py:179

models/stylegan2/model.py:278

(self, channel, size=4)

models/stylegan2/model.py:293

( self, in_channel, out_channel, kernel_size, style_dim, upsam

models/stylegan2/model.py:306

(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:343

( self, size, style_dim, n_mlp, channel_multiplier=2, blur_ker

models/stylegan2/model.py:365

( self, in_channel, out_channel, kernel_size, downsample=False,

models/stylegan2/model.py:584

(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:633

(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:654

(self, channel, negative_slope=0.2, scale=2 ** 0.5)

models/stylegan2/op/fused_act.py:73

loss/gan_loss.py:13

loss/iterative_inversion_loss.py:12

(self, network, layer_name_mapping, layers)

loss/perceptual.py:180

(self, n_channels_list)

loss/lpips.py:36

loss/lpips.py:49

loss/lpips.py:79

loss/lpips.py:90

(self, net_type: str = 'alex', version: str = '0.1')

loss/lpips.py:131

Reset the class; indicates the class hasn't been initailized

third_part/Deep3DFaceRecon_pytorch/options/base_options.py:19

third_part/Deep3DFaceRecon_pytorch/models/bfm.py:20

(self, bfm_folder='./checkpoints/BFM', recenter=True, camera

third_part/Deep3DFaceRecon_pytorch/models/bfm.py:27

Initialize the BaseModel class. Parameters: opt (Option class)-- stores all the experiment flags; needs to be a subclass of BaseO

third_part/Deep3DFaceRecon_pytorch/models/base_model.py:22

(self, recog_net, input_size=112)

third_part/Deep3DFaceRecon_pytorch/models/losses.py:14

(self, net_recon, use_last_fc=False, init_path=None)

third_part/Deep3DFaceRecon_pytorch/models/networks.py:71

(self, net_recog, pretrained_path=None, input_size=112)

third_part/Deep3DFaceRecon_pytorch/models/networks.py:108

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

third_part/Deep3DFaceRecon_pytorch/models/networks.py:160

( self, inplanes: int, planes: int, stride: int = 1, downsample: Optio

third_part/Deep3DFaceRecon_pytorch/models/networks.py:215

Initialize this model class. Parameters: opt -- training/test options A few things can be done here. - (required

third_part/Deep3DFaceRecon_pytorch/models/template_model.py:42

Initialize this model class. Parameters: opt -- training/test options A few things can be done here. - (required

third_part/Deep3DFaceRecon_pytorch/models/facerecon_model.py:73

(self, prefix, data_shape, batch_size=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/eval_ijbc.py:55

(self, root, lines, align=True)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/onnx_ijbc.py:29

(self, model_path, cpu=False)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/onnx_helper.py:16

(self, generator, local_rank, max_prefetch=6)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/dataset.py:14

(self, root_dir, local_rank)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/dataset.py:72

(self, local_rank)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/dataset.py:111

(self, s=64.0, m=0.5)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/losses.py:30

rank: int Unique process(GPU) ID from 0 to world_size - 1. local_rank: int Unique process(GPU) ID within the

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/partial_fc.py:20

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/iresnet.py:30

(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/iresnet2060.py:34

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/mobilefacenet.py:17

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/mobilefacenet.py:30

(self, in_c, out_c, residual=False, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/mobilefacenet.py:42

(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1), padding=(1, 1))

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/mobilefacenet.py:64

(self, fp16=False, num_features=512)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/backbones/mobilefacenet.py:89

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_logging.py:10

(self, master_tensor: torch.Tensor)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_amp.py:19

(self, init_scale, max_scale: float, growth_interval=100)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_amp.py:33

(self, frequent, rank, val_targets, rec_prefix, image_size=(112, 112))

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_callbacks.py:13

(self, frequent, rank, total_step, batch_size, world_size, writer=None)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_callbacks.py:52

(self, rank, output="./")

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/utils/utils_callbacks.py:106

(self, n_splits=2, shuffle=False)

third_part/Deep3DFaceRecon_pytorch/models/arcface_torch/eval/verification.py:42

(self, dim, num, w, mu, cov, cov_det, cov_inv)

third_part/Deep3DFaceRecon_pytorch/util/skin_mask.py:10

Initialize the HTML classes Parameters: web_dir (str) -- a directory that stores the webpage. HTML file will be created at <web_d

third_part/Deep3DFaceRecon_pytorch/util/html.py:14

(self, rasterize_fov, znear=0.1, zfar=10, ras

third_part/Deep3DFaceRecon_pytorch/util/nvdiffrast.py:22

Initialize the Visualizer class Parameters: opt -- stores all the experiment flags; needs to be a subclass of BaseOptions

third_part/Deep3DFaceRecon_pytorch/util/visualizer.py:50

Initialize the Visualizer class Parameters: opt -- stores all the experiment flags; needs to be a subclass of BaseOptions

third_part/Deep3DFaceRecon_pytorch/util/visualizer.py:151

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