Types & classes — github.com/APRIL-ZJU/Gaussian-LIC

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Types & classes61 in github.com/APRIL-ZJU/Gaussian-LIC

⨍ Functions 231◇ Types & classes 61

↓ 9 callersClassPropertyInfo

src/tinyply.h:53

↓ 4 callersClassV2Net

ckpt/SPNet/src/networks.py:6

↓ 3 callersClassBuffer

src/tinyply.h:75

↓ 3 callersClassLPIPS

r"""Creates a criterion that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: net_type (str): the network type

src/lpips/lpipsPyTorch/modules/lpips.py:8

↓ 3 callersClassLayerNorm

LayerNorm that supports two data formats: channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last

ckpt/SPNet/src/custom_blocks.py:6

↓ 2 callersClassCNBlock

ckpt/SPNet/src/custom_blocks.py:71

↓ 2 callersClassNormLayer

ckpt/SPNet/src/custom_blocks.py:31

↓ 2 callersClassPlyElement

src/tinyply.h:111

↓ 2 callersClassPlyProperty

src/tinyply.h:98

↓ 2 callersClassdelete_array

src/tinyply.h:78

↓ 1 callersClassAlexNet

src/lpips/lpipsPyTorch/modules/networks.py:79

↓ 1 callersClassConfigs

ckpt/SPNet/config.py:4

↓ 1 callersClassDataReader

ckpt/SPNet/test_utils.py:24

↓ 1 callersClassDecoder

ckpt/SPNet/src/modules.py:51

↓ 1 callersClassEncoder

ckpt/SPNet/src/modules.py:6

↓ 1 callersClassGRN

GRN (Global Response Normalization) layer

ckpt/SPNet/src/custom_blocks.py:95

↓ 1 callersClassGradient2D

ckpt/SPNet/src/losses.py:7

↓ 1 callersClassLinLayers

src/lpips/lpipsPyTorch/modules/networks.py:23

↓ 1 callersClassRGBDHDataset

ckpt/SPNet/src/data_tools.py:201

↓ 1 callersClassRandomDepthScaling

ckpt/SPNet/src/data_tools.py:72

↓ 1 callersClassRandomResizedCropRGBD

ckpt/SPNet/src/data_tools.py:39

↓ 1 callersClassSPNet

ckpt/SPNet/src/src_main.py:22

↓ 1 callersClassSqueezeNet

src/lpips/lpipsPyTorch/modules/networks.py:68

↓ 1 callersClassStandardizeData

ckpt/SPNet/src/utils.py:11

↓ 1 callersClassTransformUtils

ckpt/SPNet/src/data_tools.py:93

↓ 1 callersClassVGG16

src/lpips/lpipsPyTorch/modules/networks.py:90

↓ 1 callersClassWeightedDataLoss

ckpt/SPNet/src/losses.py:23

↓ 1 callersClassWeightedMSGradLoss

ckpt/SPNet/src/losses.py:39

src/lpips/lpipsPyTorch/modules/networks.py:36

ClassBinningState

src/rasterizer/cuda_rasterizer/rasterizer_impl.h:71

src/camera.h:33

ckpt/SPNet/src/utils.py:60

src/gaussian.h:52

ClassDepthCompleter

src/depth_completer.h:26

src/mapping.h:137

ClassFusedSSIMMap

src/loss_utils.h:135

ClassGaussianModel

src/gaussian.h:113

ClassGaussianModel

src/rasterizer/renderer.h:28

ClassGaussianRasterizationSettings

src/rasterizer/rasterizer.h:27

ClassGaussianRasterizer

src/rasterizer/rasterizer.h:96

ClassGaussianRasterizerFunction

src/rasterizer/rasterizer.h:75

ClassGeometryState

src/rasterizer/cuda_rasterizer/rasterizer_impl.h:36

ClassImageState

src/rasterizer/cuda_rasterizer/rasterizer_impl.h:53

ClassInferDeleter

src/depth_completer.h:39

src/depth_completer.h:44

src/mapping.h:54

ClassParsingHelper

src/tinyply.h:247

ClassPixelPosition

src/gaussian.cpp:41

src/tinyply.h:90

ClassPlyDataCursor

src/tinyply.h:241

src/tinyply.h:120

ClassPlyFile::PlyFileImpl

src/tinyply.h:239

ClassPlyFileImpl

src/tinyply.h:122

ClassPropertyLookup

src/tinyply.h:254

ClassRasterizer

src/rasterizer/cuda_rasterizer/rasterizer.h:26

ClassSampleState

src/rasterizer/cuda_rasterizer/rasterizer_impl.h:87

src/simple-knn/simple_knn.h:15

ClassSparseGaussianAdam

src/optim_utils.h:69

ClassSparseGaussianAdamOptions

src/optim_utils.h:34

src/optim_utils.h:26

src/tinyply.h:40