Functions — github.com/XingangPan/DragGAN

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Functions1,199 in github.com/XingangPan/DragGAN

⨍ Functions 1,199◇ Types & classes 212↳ Endpoints 11

↓ 1 callersFunctionmain

( ctx: click.Context, raw_img_dir: str, raw_seg_dir: str, outdir: str)

stylegan_human/bg_white.py:40

↓ 1 callersFunctionmain

( ctx: click.Context, face_network: str, body_network: str, face_seed: int,

stylegan_human/insetgan.py:347

↓ 1 callersFunctionmain

( ctx: click.Context, ckpt_path: str, attr_name: str, truncation: float, gen_video: bool,

stylegan_human/edit.py:55

↓ 1 callersFunctionmain

Train a GAN using the techniques described in the paper "Training Generative Adversarial Networks with Limited Data". Examples: \b #

stylegan_human/training_scripts/sg2/train.py:458

↓ 1 callersFunctionmain

Train a GAN using the techniques described in the paper "Alias-Free Generative Adversarial Networks". Examples: \b # Train StyleGAN3

stylegan_human/training_scripts/sg3/train.py:170

↓ 1 callersFunctionmain

Main function to download files from URLs in a config file.

scripts/download_model.py:57

↓ 1 callersFunctionmake_cache_dir_path

(*paths: str)

stylegan_human/dnnlib/util.py:125

↓ 1 callersFunctionmake_cache_dir_path

(*paths: str)

dnnlib/util.py:124

↓ 1 callersFunctionmake_dataset

(dir)

stylegan_human/utils/data_utils.py:28

↓ 1 callersFunctionmake_latent_interp_animation

(G, code1, code2, img1, img2, num_interps, noise_mode, save_mid_image, truncation_psi,device, outdir,fps)

stylegan_human/interpolation.py:65

↓ 1 callersFunctionmake_transform

(translate: Tuple[float,float], angle: float)

gen_images.py:57

↓ 1 callersMethodmaximize

(self)

gui_utils/glfw_window.py:109

↓ 1 callersMethodmodel

(self)

stylegan_human/PP_HumanSeg/deploy/infer.py:50

↓ 1 callersFunctionmodulated_conv2d

( x, # Input tensor: [batch_size, in_channels, in_height, in_width] w,

stylegan_human/training/networks_stylegan3.py:26

↓ 1 callersFunctionmodulated_conv2d

( x, # Input tensor: [batch_size, in_channels, in_height, in_width] w,

stylegan_human/training_scripts/sg3/training/networks_stylegan3.py:27

↓ 1 callersFunctionmodulated_conv2d

( x, # Input tensor: [batch_size, in_channels, in_height, in_width] w,

training/networks_stylegan3.py:26

↓ 1 callersFunctionnan_to_num

(input, nan=0.0, posinf=None, neginf=None, *, out=None)

torch_utils/misc.py:49

↓ 1 callersMethodnum

r"""Returns the number of scalars that were accumulated for the given statistic between the last two calls to `update()`, or zero if n

torch_utils/training_stats.py:180

↓ 1 callersMethodnum

r"""Returns the number of scalars that were accumulated for the given statistic between the last two calls to `update()`, or zero if n

stylegan_human/torch_utils/training_stats.py:182

↓ 1 callersFunctionnumpy_to_tensor

(x)

stylegan_human/utils/util.py:73

↓ 1 callersFunctionpersistent_class

r"""Class decorator that extends a given class to save its source code when pickled. Example: from torch_utils import persistence

torch_utils/persistence.py:35

↓ 1 callersFunctionpersistent_class

r"""Class decorator that extends a given class to save its source code when pickled. Example: from torch_utils import persistence

stylegan_human/torch_utils/persistence.py:37

↓ 1 callersMethodpop_drag_and_drop_paths

(self)

gui_utils/glfw_window.py:147

↓ 1 callersMethodpreprocess

(self, img)

stylegan_human/PP_HumanSeg/deploy/infer.py:89

↓ 1 callersMethodprint_error

(self, error)

visualizer_drag.py:78

↓ 1 callersFunctionrecurse

(obj)

torch_utils/persistence.py:236

↓ 1 callersFunctionreport

r"""Broadcasts the given set of scalars to all interested instances of `Collector`, across device and process boundaries. This function is ex

torch_utils/training_stats.py:56

↓ 1 callersFunctionreport

r"""Broadcasts the given set of scalars to all interested instances of `Collector`, across device and process boundaries. This function is ex

stylegan_human/torch_utils/training_stats.py:58

↓ 1 callersMethodreset_optimizer_state

Reset internal state of the underlying optimizer.

stylegan_human/dnnlib/tflib/optimizer.py:268

↓ 1 callersFunctionrotate2d

(theta, **kwargs)

stylegan_human/training/augment.py:88

↓ 1 callersFunctionrotate2d

(theta, **kwargs)

training/augment.py:88

↓ 1 callersFunctionrotate3d

(v, theta, **kwargs)

stylegan_human/training/augment.py:95

↓ 1 callersFunctionrotate3d

(v, theta, **kwargs)

training/augment.py:95

↓ 1 callersFunctionrun

(args)

stylegan_human/alignment.py:101

↓ 1 callersFunctionrun_PTI

(run_name='', use_wandb=False, use_multi_id_training=False)

stylegan_human/run_pti.py:16

↓ 1 callersFunctionscale3d

(sx, sy, sz, **kwargs)

stylegan_human/training/augment.py:80

↓ 1 callersFunctionscale3d

(sx, sy, sz, **kwargs)

training/augment.py:80

↓ 1 callersMethodset_args

(self, **args)

visualizer_drag.py:281

↓ 1 callersMethodset_encoder

(self)

stylegan_human/pti/pti_models/e4e/psp.py:29

↓ 1 callersMethodset_font_size

(self, target)

gui_utils/imgui_window.py:68

↓ 1 callersMethodset_points

(self, points)

viz/drag_widget.py:70

↓ 1 callersFunctionset_vars

Set the values of given tf.Variables. Equivalent to the following, but more efficient and does not bloat the tf graph: tflib.run([tf.assign(v

stylegan_human/dnnlib/tflib/tfutil.py:196

↓ 1 callersMethodset_vsync

(self, vsync)

gui_utils/glfw_window.py:118

↓ 1 callersFunctionsetup_snapshot_image_grid

(training_set, random_seed=0)

stylegan_human/training/training_loop.py:31

↓ 1 callersFunctionsetup_snapshot_image_grid

(training_set, random_seed=0)

training/training_loop.py:31

↓ 1 callersFunctionsetup_training_loop_kwargs

( # General options (not included in desc). gpus = None, # Number of GPUs: <int>, default = 1 gp

stylegan_human/training_scripts/sg2/train.py:35

↓ 1 callersMethodshould_close

(self)

gui_utils/glfw_window.py:127

↓ 1 callersMethodskip_frames

(self, num)

gui_utils/glfw_window.py:133

↓ 1 callersMethodspace_regulizer_loss

(self, new_G, w_batch, use_wandb)

stylegan_human/pti/training/coaches/localitly_regulizer.py:61

↓ 1 callersMethodstd

r"""Returns the standard deviation of the scalars that were accumulated for the given statistic between the last two calls to `update(

torch_utils/training_stats.py:198

↓ 1 callersFunctionstyle_mixing_video

(network_pkl: str, src_seed: List[int], # Seed of the source image style

stylegan_human/stylemixing_video.py:49

↓ 1 callersFunctionsubprocess_fn

(rank, args, temp_dir)

stylegan_human/training_scripts/sg2/train.py:378

↓ 1 callersFunctionsubprocess_fn

(rank, c, temp_dir)

stylegan_human/training_scripts/sg3/train.py:29

↓ 1 callersFunctiontensor_to_numpy

(x)

stylegan_human/utils/util.py:66

↓ 1 callersMethodto_device

(self, buf)

viz/renderer.py:187

↓ 1 callersMethodtrain

(self)

stylegan_human/pti/training/coaches/single_id_coach.py:16

↓ 1 callersFunctiontranslate3d

(tx, ty, tz, **kwargs)

stylegan_human/training/augment.py:65

↓ 1 callersFunctiontranslate3d

(tx, ty, tz, **kwargs)

training/augment.py:65

↓ 1 callersMethodundo_loss_scaling

Undo the effect of dynamic loss scaling for the given expression.

stylegan_human/dnnlib/tflib/optimizer.py:284

↓ 1 callersMethodupdate_lr

(self, lr)

viz/renderer.py:265

↓ 1 callersFunctionupfirdn2d_native

( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 )

stylegan_human/torch_utils/op_edit/upfirdn2d.py:161

↓ 1 callersFunctionupfirdn2d_native

( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 )

stylegan_human/pti/pti_models/e4e/stylegan2/op/upfirdn2d.py:19

↓ 1 callersFunctionupfirdn_2d

r"""Pad, upsample, FIR filter, and downsample a batch of 2D images. Accepts a batch of 2D images of the shape `[majorDim, inH, inW, minorDim]`

stylegan_human/dnnlib/tflib/ops/upfirdn_2d.py:21

↓ 1 callersMethodvariables

(self)

stylegan_human/dnnlib/tflib/optimizer.py:303

FunctionIR_101

Constructs a ir-101 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:57

FunctionIR_152

Constructs a ir-152 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:63

FunctionIR_50

Constructs a ir-50 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:51

FunctionIR_SE_101

Constructs a ir_se-101 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:75

FunctionIR_SE_152

Constructs a ir_se-152 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:81

FunctionIR_SE_50

Constructs a ir_se-50 model.

stylegan_human/pti/pti_models/e4e/encoders/model_irse.py:69

Method__call__

(self, oriImg)

stylegan_human/openpose/src/body.py:23

Method__call__

(self, show=True)

viz/latent_widget.py:31

Method__call__

(self, show=True)

viz/drag_widget.py:91

Method__call__

(self, show=True)

viz/pickle_widget.py:72

Method__call__

(self, show=True)

viz/capture_widget.py:53

Method__del__

(self)

stylegan_human/training/dataset.py:78

Method__del__

(self)

stylegan_human/training_scripts/sg2/training/dataset.py:84

Method__del__

(self)

stylegan_human/training_scripts/sg3/training/dataset.py:87

Method__del__

(self)

training/dataset.py:78

Method__del__

(self)

gui_utils/glfw_window.py:53

Method__del__

(self)

gui_utils/gl_utils.py:167

Method__del__

(self)

gui_utils/gl_utils.py:284

Method__delattr__

(self, name: str)

stylegan_human/dnnlib/util.py:53

stylegan_human/torch_utils/misc.py:72

(self, exc_type: Any, exc_value: Any, traceback: Any)

stylegan_human/dnnlib/util.py:76

Method__exit__

(self, exc_type: Any, exc_value: Any, traceback: Any)

dnnlib/util.py:75

Method__getattr__

(self, name: str)

stylegan_human/dnnlib/util.py:44

r"""Convenience getter. `collector[name]` is a synonym for `collector.mean(name)`.

torch_utils/training_stats.py:226

Method__getitem__

(self, index)

stylegan_human/utils/ImagesDataset.py:20

Method__getitem__

r"""Convenience getter. `collector[name]` is a synonym for `collector.mean(name)`.

stylegan_human/torch_utils/training_stats.py:228

Method__getitem__

(self, idx)

stylegan_human/training/dataset.py:87

Method__getitem__

(self, idx)

stylegan_human/training_scripts/sg2/training/dataset.py:93

Method__getitem__

(self, idx)

stylegan_human/training_scripts/sg3/training/dataset.py:96

Method__getitem__

(self, idx)

training/dataset.py:87

Method__getstate__

(self)

stylegan_human/training/dataset.py:209

Method__getstate__

Pickle export.

stylegan_human/dnnlib/tflib/network.py:257

Method__getstate__

(self)

stylegan_human/training_scripts/sg2/training/dataset.py:227

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