Code
Hub
Workspaces
Following
Trending
Connect
MCP
copy
Create free account
hub
/
github.com/SizheAn/PanoHead
/ types & classes
Types & classes
69 in github.com/SizheAn/PanoHead
⨍
Functions
563
◇
Types & classes
69
↳
Endpoints
14
↓ 9 callers
Class
FullyConnectedLayer
training/networks_stylegan2.py:96
↓ 8 callers
Class
Conv2dLayer
training/networks_stylegan2.py:135
↓ 8 callers
Class
MappingNetwork
training/networks_stylegan2.py:193
↓ 8 callers
Class
SynthesisBlock
training/networks_stylegan2.py:369
↓ 7 callers
Class
DiscriminatorBlock
training/networks_stylegan2.py:561
↓ 6 callers
Class
DiscriminatorEpilogue
training/networks_stylegan2.py:679
↓ 6 callers
Class
TriPlaneGenerator
training/triplane.py:17
↓ 4 callers
Class
FullyConnectedLayer
training/networks_stylegan3.py:71
↓ 4 callers
Class
SynthesisLayer
training/networks_stylegan2.py:280
↓ 3 callers
Class
FeatureStats
metrics/metric_utils.py:75
↓ 3 callers
Class
SynthesisBlockNoUp
training/superresolution.py:158
↓ 3 callers
Class
ToRGBLayer
training/networks_stylegan2.py:344
↓ 2 callers
Class
ProgressMonitor
metrics/metric_utils.py:155
↓ 2 callers
Class
SynthesisNetwork
training/networks_stylegan2.py:473
↓ 1 callers
Class
ImageFolderDataset
training/dataset.py:161
↓ 1 callers
Class
ImportanceRenderer
training/volumetric_rendering/renderer.py:94
↓ 1 callers
Class
MappingNetwork
training/networks_stylegan3.py:111
↓ 1 callers
Class
MinibatchStdLayer
training/networks_stylegan2.py:650
↓ 1 callers
Class
MipRayMarcher2
training/volumetric_rendering/ray_marcher.py:22
↓ 1 callers
Class
OSGDecoder
training/triplane.py:165
↓ 1 callers
Class
PPLSampler
metrics/perceptual_path_length.py:37
↓ 1 callers
Class
RaySampler
training/volumetric_rendering/ray_sampler.py:18
↓ 1 callers
Class
SynthesisInput
training/networks_stylegan3.py:171
↓ 1 callers
Class
SynthesisLayer
training/networks_stylegan3.py:255
↓ 1 callers
Class
SynthesisNetwork
training/networks_stylegan3.py:401
↓ 1 callers
Class
_GlfwRenderer
gui_utils/imgui_window.py:97
↓ 1 callers
Class
_LegacyUnpickler
legacy.py:67
Class
AugmentPipe
training/augment.py:124
Class
BiasActCuda
torch_utils/ops/bias_act.py:144
Class
BiasActCudaGrad
torch_utils/ops/bias_act.py:177
Class
CameraLabeledDataset
training/dataset.py:245
Class
Collector
r"""Collects the scalars broadcasted by `report()` and `report0()` and computes their long-term averages (mean and standard deviation) over us
torch_utils/training_stats.py:115
Class
Conv2d
torch_utils/ops/conv2d_gradfix.py:107
Class
Conv2dGradWeight
torch_utils/ops/conv2d_gradfix.py:155
Class
Dataset
training/dataset.py:23
Class
Decorator
torch_utils/persistence.py:101
Class
Discriminator
training/networks_stylegan2.py:740
Class
DualDiscriminator
training/dual_discriminator.py:100
Class
DummyDualDiscriminator
training/dual_discriminator.py:172
Class
EasyDict
Convenience class that behaves like a dict but allows access with the attribute syntax.
dnnlib/util.py:42
Class
FilteredLReluCuda
torch_utils/ops/filtered_lrelu.py:180
Class
Framebuffer
gui_utils/gl_utils.py:222
Class
GaussianCameraPoseSampler
Samples pitch and yaw from a Gaussian distribution and returns a camera pose. Camera is specified as looking at the origin. If horizontal
camera_utils.py:22
Class
Generator
training/networks_stylegan3.py:492
Class
Generator
training/networks_stylegan2.py:533
Class
GlfwWindow
gui_utils/glfw_window.py:18
Class
ImguiWindow
gui_utils/imgui_window.py:21
Class
InfiniteSampler
torch_utils/misc.py:113
Class
Logger
Redirect stderr to stdout, optionally print stdout to a file, and optionally force flushing on both stdout and the file.
dnnlib/util.py:58
Class
LookAtPoseSampler
Same as GaussianCameraPoseSampler, except the camera is specified as looking at 'lookat_position', a 3-vector. Example: For a camera
camera_utils.py:58
Class
Loss
training/loss.py:17
Class
MaskDualDiscriminator
training/dual_discriminator.py:246
Class
MaskDualDiscriminatorV2
training/dual_discriminator.py:348
Class
MaskLabeledDataset
training/dataset.py:301
Class
MetricOptions
metrics/metric_utils.py:26
Class
SingleDiscriminator
training/dual_discriminator.py:14
Class
StyleGAN2Loss
training/loss.py:23
Class
SuperresolutionHybrid2X
training/superresolution.py:94
Class
SuperresolutionHybrid4X
training/superresolution.py:62
Class
SuperresolutionHybrid8X
training/superresolution.py:29
Class
SuperresolutionHybrid8XDC
training/superresolution.py:264
Class
SuperresolutionHybridDeepfp32
training/superresolution.py:127
Class
Texture
gui_utils/gl_utils.py:130
Class
UniformCameraPoseSampler
Same as GaussianCameraPoseSampler, except the pose is sampled from a uniform distribution with range +-[horizontal/vertical]_stddev. Exa
camera_utils.py:88
Class
Upfirdn2dCuda
torch_utils/ops/upfirdn2d.py:233
Class
_FusedMultiplyAdd
torch_utils/ops/fma.py:22
Class
_GridSample2dBackward
torch_utils/ops/grid_sample_gradfix.py:57
Class
_GridSample2dForward
torch_utils/ops/grid_sample_gradfix.py:40
Class
_TFNetworkStub
legacy.py:64