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hub / github.com/SizheAn/PanoHead / types & classes

Types & classes69 in github.com/SizheAn/PanoHead

↓ 9 callersClassFullyConnectedLayer
training/networks_stylegan2.py:96
↓ 8 callersClassConv2dLayer
training/networks_stylegan2.py:135
↓ 8 callersClassMappingNetwork
training/networks_stylegan2.py:193
↓ 8 callersClassSynthesisBlock
training/networks_stylegan2.py:369
↓ 7 callersClassDiscriminatorBlock
training/networks_stylegan2.py:561
↓ 6 callersClassDiscriminatorEpilogue
training/networks_stylegan2.py:679
↓ 6 callersClassTriPlaneGenerator
training/triplane.py:17
↓ 4 callersClassFullyConnectedLayer
training/networks_stylegan3.py:71
↓ 4 callersClassSynthesisLayer
training/networks_stylegan2.py:280
↓ 3 callersClassFeatureStats
metrics/metric_utils.py:75
↓ 3 callersClassSynthesisBlockNoUp
training/superresolution.py:158
↓ 3 callersClassToRGBLayer
training/networks_stylegan2.py:344
↓ 2 callersClassProgressMonitor
metrics/metric_utils.py:155
↓ 2 callersClassSynthesisNetwork
training/networks_stylegan2.py:473
↓ 1 callersClassImageFolderDataset
training/dataset.py:161
↓ 1 callersClassImportanceRenderer
training/volumetric_rendering/renderer.py:94
↓ 1 callersClassMappingNetwork
training/networks_stylegan3.py:111
↓ 1 callersClassMinibatchStdLayer
training/networks_stylegan2.py:650
↓ 1 callersClassMipRayMarcher2
training/volumetric_rendering/ray_marcher.py:22
↓ 1 callersClassOSGDecoder
training/triplane.py:165
↓ 1 callersClassPPLSampler
metrics/perceptual_path_length.py:37
↓ 1 callersClassRaySampler
training/volumetric_rendering/ray_sampler.py:18
↓ 1 callersClassSynthesisInput
training/networks_stylegan3.py:171
↓ 1 callersClassSynthesisLayer
training/networks_stylegan3.py:255
↓ 1 callersClassSynthesisNetwork
training/networks_stylegan3.py:401
↓ 1 callersClass_GlfwRenderer
gui_utils/imgui_window.py:97
↓ 1 callersClass_LegacyUnpickler
legacy.py:67
ClassAugmentPipe
training/augment.py:124
ClassBiasActCuda
torch_utils/ops/bias_act.py:144
ClassBiasActCudaGrad
torch_utils/ops/bias_act.py:177
ClassCameraLabeledDataset
training/dataset.py:245
ClassCollector
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
ClassConv2d
torch_utils/ops/conv2d_gradfix.py:107
ClassConv2dGradWeight
torch_utils/ops/conv2d_gradfix.py:155
ClassDataset
training/dataset.py:23
ClassDecorator
torch_utils/persistence.py:101
ClassDiscriminator
training/networks_stylegan2.py:740
ClassDualDiscriminator
training/dual_discriminator.py:100
ClassDummyDualDiscriminator
training/dual_discriminator.py:172
ClassEasyDict
Convenience class that behaves like a dict but allows access with the attribute syntax.
dnnlib/util.py:42
ClassFilteredLReluCuda
torch_utils/ops/filtered_lrelu.py:180
ClassFramebuffer
gui_utils/gl_utils.py:222
ClassGaussianCameraPoseSampler
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
ClassGenerator
training/networks_stylegan3.py:492
ClassGenerator
training/networks_stylegan2.py:533
ClassGlfwWindow
gui_utils/glfw_window.py:18
ClassImguiWindow
gui_utils/imgui_window.py:21
ClassInfiniteSampler
torch_utils/misc.py:113
ClassLogger
Redirect stderr to stdout, optionally print stdout to a file, and optionally force flushing on both stdout and the file.
dnnlib/util.py:58
ClassLookAtPoseSampler
Same as GaussianCameraPoseSampler, except the camera is specified as looking at 'lookat_position', a 3-vector. Example: For a camera
camera_utils.py:58
ClassLoss
training/loss.py:17
ClassMaskDualDiscriminator
training/dual_discriminator.py:246
ClassMaskDualDiscriminatorV2
training/dual_discriminator.py:348
ClassMaskLabeledDataset
training/dataset.py:301
ClassMetricOptions
metrics/metric_utils.py:26
ClassSingleDiscriminator
training/dual_discriminator.py:14
ClassStyleGAN2Loss
training/loss.py:23
ClassSuperresolutionHybrid2X
training/superresolution.py:94
ClassSuperresolutionHybrid4X
training/superresolution.py:62
ClassSuperresolutionHybrid8X
training/superresolution.py:29
ClassSuperresolutionHybrid8XDC
training/superresolution.py:264
ClassSuperresolutionHybridDeepfp32
training/superresolution.py:127
ClassTexture
gui_utils/gl_utils.py:130
ClassUniformCameraPoseSampler
Same as GaussianCameraPoseSampler, except the pose is sampled from a uniform distribution with range +-[horizontal/vertical]_stddev. Exa
camera_utils.py:88
ClassUpfirdn2dCuda
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