Functions — github.com/Time-Travel-Rephotography/Time-Travel-Rephotography.github.io

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Functions204 in github.com/Time-Travel-Rephotography/Time-Travel-Rephotography.github.io

⨍ Functions 204◇ Types & classes 60

Method__init__

(self)

tools/initialize.py:33

Method__init__

(self, args: Namespace)

tools/initialize.py:106

Method__init__

(self)

utils/projector_arguments.py:18

Method__init__

( self, generator: torch.nn, noise_ramp: float = 0.75, noise_strength: float = 0.05,

utils/optimize.py:58

Method__init__

:param predictor_model_path: path to shape_predictor_68_face_landmarks.dat file

utils/ffhq_dataset/landmarks_detector.py:6

Method__init__

:param DNN: "TF" or "CAFFE" predictor_model_path: path to shape_predictor_68_face_landmarks.dat file

utils/ffhq_dataset/landmarks_detector.py:30

Method__init__

(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, degenerated_to_sgd=True)

optim/radam.py:103

Method__init__

(self, params, lr=1e-3, betas=(0.9, 0.999), eps=1e-8, weight_decay=0, warmup=0)

optim/radam.py:181

Method__init__

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

op/fused_act.py:74

Method__init__

(self, channels, kernel_size, sigma, dim=2)

models/gaussian_smoothing.py:21

(self, spectral_sensitivity: str = 'b')

models/degrade.py:50

Method__init__

(self, input_size: int, output_size: int, channels: int)

models/degrade.py:73

Method__init__

( self, in_channels: int, size: int, latent_size: int = 512, activation: str = 'leaky_

(self, in_channels: int, out_channels: int, activation: str = 'relu')

models/resnet.py:33

Method__init__

( self, in_channels: int, out_channels: int, expansion: int = 1, downsampling: int = 1

models/resnet.py:55

Method__init__

( self, in_channels: int, out_channels: int, bias: bool = False, *args, **kwargs )

models/resnet.py:87

Method__init__

(self, sibling: torch.Tensor, args: Namespace, size: int = 256)

losses/joint_loss.py:62

Method__init__

(self, sibling: torch.Tensor, args: Namespace, size: int = 256)

losses/joint_loss.py:79

Method__init__

( self, init_rgbs, scale_rgb: bool = False )

losses/color_transfer_loss.py:37

Method__init__

target: target image

losses/reconstruction.py:87

Method__init__

(self, resize=False)

losses/perceptual_loss.py:14

Method__init__

(self, weight_path: str = "checkpoint/vgg_face_dag.pt", resize: bool = False)

losses/perceptual_loss.py:54

Functionadd_arguments

(parser: ArgumentParser)

models/encoder.py:9

Methodadd_arguments

(cls, parser: ArgumentParser)

tools/initialize.py:50

Methodadd_arguments

(parser: ArgumentParser)

utils/optimize.py:33

Methodadd_arguments

(parser: ArgumentParser)

models/degrade.py:17

Methodadd_arguments

(parser: ArgumentParser)

losses/joint_loss.py:33

Methodadd_arguments

(parser: ArgumentParser)

losses/reconstruction.py:18

Methodbackward

(ctx, gradgrad_input, gradgrad_bias)

(ctx, gradgrad_input)

op/upfirdn2d.py:62

Functioncos_loss

(fi, ft)

losses/perceptual_loss.py:9

Functioncreate_model

(args)

models/encoder.py:14

Methodcreate_parameters

(latent_coarse)

utils/optimize.py:106

Functiondevice

(gpu_id=0)

utils/torch_helpers.py:5

Functionencode_color

(imgs: torch.Tensor, args: Namespace)

tools/initialize.py:89

Methodexpanded_channels

(self, image, noise=None)

(self, input, style, noise=None)

model.py:336

Methodforward

(self, input, style, skip=None)

model.py:355

Methodforward

( self, styles, return_latents=False, inject_index=None, truncation=1,

(self, imgs: torch.Tensor)

tools/initialize.py:149

Methodforward

(ctx, grad_output, out, negative_slope, scale)

op/fused_act.py:21

Methodforward

(ctx, input, bias, negative_slope, scale)

( ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size )

op/upfirdn2d.py:20

Methodforward

(ctx, input, kernel, up, down, pad)

op/upfirdn2d.py:89

Methodforward

Apply gaussian filter to input. Arguments: input (torch.Tensor): Input to apply gaussian filter on. stride fo

models/gaussian_smoothing.py:63

Methodforward

(self, x: torch.Tensor)

models/degrade.py:39

Methodforward

(self, rgb: torch.Tensor)

models/degrade.py:60

Methodforward

(self, im: torch.Tensor)

models/degrade.py:91

Methodforward

(self, img: torch.Tensor, downsample: nn.Module = None)

models/degrade.py:111

models/vggface.py:110

(self, img: torch.Tensor)

losses/joint_loss.py:70

Methodforward

(self, img: torch.Tensor)

losses/joint_loss.py:84

Methodforward

(self, noises: Iterable[torch.Tensor])

losses/regularize_noise.py:8

Methodforward

(self, rgbs: List[torch.Tensor], level: int = None)

losses/color_transfer_loss.py:49

Methodforward

img: it should be the degraded version of the generated image

losses/reconstruction.py:69

Methodforward

img: it should be the degraded version of the generated image

losses/reconstruction.py:112

Methodforward

(self, input, target, max_layer=4, cos_dist: bool = False)

losses/perceptual_loss.py:30

Methodforward

(self, input, target, max_layer: int = 4, cos_dist: bool = False)

losses/perceptual_loss.py:65

Methodforward

(self, input, target, eps=1e-8, use_vggface: bool = True, use_vgg=True, max_vgg_layer=4)

losses/perceptual_loss.py:104

Functionfused_bias_act

op/fused_bias_act.cpp:11

Methodget_landmarks

(self, image)

utils/ffhq_dataset/landmarks_detector.py:63

Methodget_latent

(self, input)

model.py:488

Functionget_optimizer_class

(optimizer_name)

optim/__init__.py:13

Functionload_matching_state_dict

(model: nn.Module, state_dict)

utils/torch_helpers.py:11

Methodshould_apply_shortcut

(self)

models/resnet.py:50

Methodshould_apply_shortcut

tools/initialize.py:59

Methodto_string

(args: Namespace)

utils/projector_arguments.py:67

losses/joint_loss.py:46

Methodto_string

(args: Namespace)

losses/reconstruction.py:24

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