Functions — github.com/APRIL-ZJU/Gaussian-LIC

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Functions231 in github.com/APRIL-ZJU/Gaussian-LIC

⨍ Functions 231◇ Types & classes 61

MethodGaussianModel

src/gaussian.cpp:239

MethodGaussianRasterizationSettings

src/rasterizer/rasterizer.h:29

MethodGaussianRasterizer

src/rasterizer/rasterizer.h:99

FunctionGetBool

src/yaml_utils.h:65

FunctionGetString

src/yaml_utils.h:54

FunctionGetValue

src/yaml_utils.h:27

FunctionGetValues

src/yaml_utils.h:39

src/mapping.h:57

MethodPlyElement

src/tinyply.h:114

MethodPlyElement

src/tinyply.h:316

src/tinyply.h:964

MethodPlyProperty

src/tinyply.h:101

MethodPlyProperty

src/tinyply.h:301

MethodPropertyInfo

src/tinyply.h:55

src/eigen_utils.h:108

FunctionSkewSymmetric

src/eigen_utils.h:80

MethodSparseGaussianAdam

src/optim_utils.h:72

MethodSparseGaussianAdamOptions

src/optim_utils.h:37

Method__getitem__

ckpt/SPNet/src/data_tools.py:262

(self, n_channels_list: Sequence[int])

src/lpips/lpipsPyTorch/modules/networks.py:24

src/lpips/lpipsPyTorch/modules/networks.py:37

src/lpips/lpipsPyTorch/modules/networks.py:69

src/lpips/lpipsPyTorch/modules/networks.py:80

(self, net_type: str = 'alex', version: str = '0.1')

src/lpips/lpipsPyTorch/modules/lpips.py:17

(self, gpus_num, model_type="Large")

ckpt/SPNet/config.py:5

ckpt/SPNet/test_utils.py:25

(self, cf, rank)

ckpt/SPNet/src/src_main.py:23

ckpt/SPNet/src/utils.py:12

(self, normalized_shape, eps=1e-6, affine=True)

ckpt/SPNet/src/custom_blocks.py:15

(self, normalized_shape, norm_type)

ckpt/SPNet/src/custom_blocks.py:32

(self, dim: int, norm_type: str, dp_rate: float)

ckpt/SPNet/src/custom_blocks.py:72

ckpt/SPNet/src/losses.py:24

( self, k: int = 4, sobel: bool = True, )

ckpt/SPNet/src/losses.py:40

(self, out_chans=1, dims=[96, 192, 384, 768], norm_type="CNX")

ckpt/SPNet/src/modules.py:52

(self, dims, depths, dp_rate, norm_type)

ckpt/SPNet/src/networks.py:7

ckpt/SPNet/src/data_tools.py:73

ckpt/SPNet/src/data_tools.py:94

ckpt/SPNet/src/data_tools.py:256

Method__masked_mean_robust_standardization__

(depth, mask, eps=1e-6)

ckpt/SPNet/src/utils.py:17

Method_init_weights

ckpt/SPNet/src/networks.py:14

MethodallocateBuffers

src/depth_completer.cpp:100

src/rasterizer/rasterizer.cpp:103

Methodcustom_step

src/optim_utils.h:102

FunctioncvGpuMat2TorchTensor_Float32

src/tensor_utils.h:113

Functiondeleter

src/tensor_utils.h:30

FunctiondepthCallback

src/mapping.cpp:65

Functiondnormvdv

src/rasterizer/cuda_rasterizer/auxiliary.h:119

Functiondnormvdz

src/rasterizer/cuda_rasterizer/auxiliary.h:111

Functionendian_swap

src/tinyply.h:197

Functionendian_swap<int16_t, int16_t>

src/tinyply.h:211

Functionendian_swap<int32_t, int32_t>

src/tinyply.h:212

Functionendian_swap<int64_t, int64_t>

src/tinyply.h:213

Functionendian_swap<uint16_t, uint16_t>

src/tinyply.h:198

Functionendian_swap<uint32_t, float>

src/tinyply.h:214

Functionendian_swap<uint32_t, uint32_t>

src/tinyply.h:199

Functionendian_swap<uint64_t, double>

src/tinyply.h:215

Functionendian_swap<uint64_t, uint64_t>

src/tinyply.h:200

Functionendian_swap_buffer

src/tinyply.h:329

(self, x: torch.Tensor)

src/lpips/lpipsPyTorch/modules/networks.py:55

(self, x: torch.Tensor, y: torch.Tensor)

src/lpips/lpipsPyTorch/modules/lpips.py:30

(self, depth, gt, mask_hole)

ckpt/SPNet/src/utils.py:28

ckpt/SPNet/src/custom_blocks.py:23

ckpt/SPNet/src/custom_blocks.py:55

ckpt/SPNet/src/custom_blocks.py:87

ckpt/SPNet/src/custom_blocks.py:105

(self, x: Tensor)

ckpt/SPNet/src/losses.py:17

(self, output: Tensor, target: Tensor, hole: Tensor)

ckpt/SPNet/src/losses.py:31

(self, output: Tensor, target: Tensor, hole_target: Tensor)

ckpt/SPNet/src/losses.py:66

ckpt/SPNet/src/modules.py:42

ckpt/SPNet/src/modules.py:73

(self, rgb, raw, hole_raw)

ckpt/SPNet/src/networks.py:19

Args: img (PIL Image or Tensor): Image to be cropped and resized. Returns: PIL Image or Tensor: Randoml

ckpt/SPNet/src/data_tools.py:40

Args: depth (Tensor): depth map to be scaled and shifted. Returns: Tensor: scaled and shifted depth.

ckpt/SPNet/src/data_tools.py:77

MethodgetCovariance

src/gaussian.cpp:306

MethodgetExposure

src/gaussian.cpp:336

FunctiongetRect

src/rasterizer/cuda_rasterizer/auxiliary.h:46

FunctiongetTransBetween

src/eigen_utils.h:65

Methodget_elements

src/tinyply.h:969

src/optim_utils.h:58

src/tinyply.h:971

FunctionimageCallback

src/mapping.cpp:58

Functionin_frustum

src/rasterizer/cuda_rasterizer/auxiliary.h:149

MethodinitEngine

src/depth_completer.cpp:74

Methodis_binary_file

src/tinyply.h:972

src/depth_completer.cpp:24

r"""Function that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: x, y (torch.Tensor): the input tensors to co

src/lpips/lpipsPyTorch/__init__.py:6

src/mapping.cpp:232

Methodmake_property_lookup_table

The `userData` table is an easy data structure for capturing what data the user would like out of the ply file, but an inner-loop hash lookup is non-i

src/tinyply.h:359

Functionmapping

src/mapping.cpp:153

Functionmax_contrib_power_rect_gaussian_float

src/rasterizer/cuda_rasterizer/forward.h:39

Functionndc2Pix

src/rasterizer/cuda_rasterizer/auxiliary.h:41

src/rasterizer/cuda_rasterizer/rasterizer_impl.h:29

Methodoperator()

src/depth_completer.cpp:33

Methodoperator()

src/tinyply.h:78

Methodparse_data

src/tinyply.h:821

Methodparse_header

src/tinyply.h:387

Functionply_cast_ascii

src/tinyply.h:338

Functionply_read_ascii

src/tinyply.h:321

FunctionpointCallback

src/mapping.cpp:43

FunctionposeCallback

src/mapping.cpp:51

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