Functions — github.com/cuiziteng/Aleth-NeRF

CodeHub MCPcopy Create free account

hub / github.com/cuiziteng/Aleth-NeRF / functions

Functions605 in github.com/cuiziteng/Aleth-NeRF

⨍ Functions 605◇ Types & classes 78

src/data/sampler.py:200

src/data/sampler.py:258

src/model/plenoxel/sparse_grid.py:1246

Method__setstate__

src/model/dvgo/masked_adam.py:36

Generate object to pass to C++

src/model/plenoxel/dataclass.py:55

Generate object to pass to C++

src/model/plenoxel/dataclass.py:76

Generate object to pass to C++

src/model/plenoxel/dataclass.py:125

Functionadam_upd

lib/dvgo/adam_upd.cpp:36

Functionadam_upd

lib/dvgo/cuda/adam_upd.cpp:36

Functionadam_upd_with_perlr

lib/dvgo/adam_upd.cpp:64

Functionadam_upd_with_perlr

lib/dvgo/cuda/adam_upd.cpp:64

Functionalpha2weight

lib/dvgo/render_utils.cpp:142

Functionalpha2weight

lib/dvgo/cuda/render_utils.cpp:142

Functionalpha2weight_backward

lib/dvgo/render_utils.cpp:151

Functionalpha2weight_backward

lib/dvgo/cuda/render_utils.cpp:151

Methodalter_gather_cat_conceil

(self, outputs, key, image_sizes)

src/model/interface.py:49

(ctx, grad_out_density, grad_out_sh)

src/model/plenoxel/autograd.py:45

(ctx, grad_out)

src/model/plenoxel/autograd.py:168

(ctx, grad_back)

src/model/dvgo/dvgo.py:592

(ctx, grad_weights, grad_last)

src/model/dvgo/dvgo.py:621

Methodbasis_type_name

src/model/plenoxel/sparse_grid.py:1237

lib/plenoxel/include/data_spec.hpp:28

lib/plenoxel/include/data_spec.hpp:58

lib/plenoxel/include/data_spec.hpp:92

lib/plenoxel/include/data_spec.hpp:103

src/model/plenoxel/model.py:312

src/model/aleth_nerf/helper.py:33

src/model/aleth_nerf_exp/helper.py:33

Methodcompute_bbox_by_cam_frustrm_bounded

src/model/dvgo/model.py:303

Methodcompute_bbox_by_cam_frustrm_unbounded

src/model/dvgo/model.py:321

Functioncompute_weighted_mae

Compute weighted mean angular error, assuming normals are unit length.

src/model/refnerf/ref_utils.py:43

Methodconfigure_optimizers

src/model/nerf/model.py:259

Methodconfigure_optimizers

src/model/mipnerf/model.py:266

Methodconfigure_optimizers

src/model/plenoxel/model.py:306

Methodconfigure_optimizers

src/model/refnerf/model.py:383

Methodconfigure_optimizers

src/model/nerfpp/model.py:303

Methodconfigure_optimizers

src/model/aleth_nerf/model.py:360

Methodconfigure_optimizers

src/model/aleth_nerf_exp/model.py:353

Methodconfigure_optimizers

src/model/dvgo/model.py:401

Functionconical_frustum_to_gaussian

(d, t0, t1, radius)

src/model/mipnerf/helper.py:213

Functionconical_frustum_to_gaussian

(d, t0, t1, radius)

src/model/refnerf/helper.py:217

Functioncreate_grid

(type, **kwargs)

src/model/dvgo/grid.py:23

Functioncreate_optimizer_or_freeze_model

(model, cfg_train, global_step)

src/model/dvgo/utils.py:25

Functioncross_broadcast

Cross broadcasting for 2 tensors :param x: torch.Tensor :param y: torch.Tensor, should have the same ndim as x :return: tuple of cro

src/model/plenoxel/utils.py:500

Functioncubemap_build_query

Compute the points on the cubemap for bilinear slinear_simple interpolates per-face, while linear also interpolates across edges (this is

src/model/plenoxel/utils.py:250

Functioncubemap_sample

Perform bilinear sampling on a cubemap given a query from cubemap_build_query :param cubemap: torch.Tensor float (6, face_reso,

src/model/plenoxel/utils.py:363

Functioncumdist_thres

lib/dvgo/ub360_utils.cpp:15

Functioncumdist_thres

lib/dvgo/cuda/ub360_utils.cpp:15

src/model/plenoxel/dataclass.py:114

src/model/plenoxel/dataclass.py:118

Functioncylinder_to_gaussian

(d, t0, t1, radius)

src/model/mipnerf/helper.py:230

Functioncylinder_to_gaussian

(d, t0, t1, radius)

src/model/refnerf/helper.py:234

Get the number of channels in the data, including color + density (similar to svox 1)

src/model/plenoxel/sparse_grid.py:213

Methoddensity_total_variation_add_grad

(self, weight, dense_mode)

src/model/dvgo/dcvgo.py:285

Methoddensity_total_variation_add_grad

(self, weight, dense_mode)

src/model/dvgo/dmpigo.py:298

Functiondir_enc_fn

Function returning directional encoding (DE).

src/model/refnerf/ref_utils.py:186

Functiondir_to_cubemap_coord

Convert a direction on a sphere (not necessarily normalized) :param xyz: direction (not necessarily normalized) :param face_reso: int, r

src/model/plenoxel/utils.py:215

Functioneval_sg_at_dirs

Evaluate spherical Gaussian functions at unit directions using learnable SG basis, without taking linear combination Works with torch

src/model/plenoxel/utils.py:473

Functioneval_sh_bases

Evaluate spherical harmonics bases at unit directions, without taking linear combination. At each point, the final result may the be

src/model/plenoxel/utils.py:126

Methodextra_repr

src/model/dvgo/grid.py:93

Methodextra_repr

src/model/dvgo/grid.py:259

Methodextra_repr

src/model/dvgo/grid.py:434

(self, x, condition)

src/model/nerf/model.py:84

(self, rays, randomized, white_bkgd, near, far)

src/model/nerf/model.py:137

(self, x, condition)

src/model/mipnerf/model.py:85

(self, rays, randomized, white_bkgd, near, far)

src/model/mipnerf/model.py:143

(self, points: torch.Tensor, use_kernel: bool = True)

src/model/plenoxel/sparse_grid.py:329

( ctx, data_density: torch.Tensor, data_sh: torch.Tensor, grid, points

src/model/plenoxel/autograd.py:29

( ctx, data_density: torch.Tensor, data_sh: torch.Tensor, data_basis: torch.Te

src/model/plenoxel/autograd.py:68

( ctx, data: torch.Tensor, links: torch.Tensor, start_dim: int, end_di

src/model/plenoxel/autograd.py:136

(self, samples, viewdirs)

src/model/refnerf/model.py:129

(self, rays, randomized, white_bkgd, near, far)

src/model/refnerf/model.py:246

(self, x, condition)

src/model/nerfpp/model.py:82

(self, rays, randomized, white_bkgd, near, far)

src/model/nerfpp/model.py:140

(self, x, condition)

src/model/aleth_nerf/model.py:102

(self, rays, randomized, white_bkgd, near, far, mode)

src/model/aleth_nerf/model.py:174

(self, low, high)

src/model/aleth_nerf/helper.py:63

src/model/aleth_nerf/helper.py:87

src/model/aleth_nerf/helper.py:98

(self, x, condition)

src/model/aleth_nerf_exp/model.py:102

(self, rays, randomized, white_bkgd, near, far, mode)

src/model/aleth_nerf_exp/model.py:173

(self, low, high)

src/model/aleth_nerf_exp/helper.py:63

src/model/aleth_nerf_exp/helper.py:87

src/model/aleth_nerf_exp/helper.py:98

Volume rendering @rays_o: [N, 3] the starting point of the N shooting rays. @rays_d: [N, 3] the shooting direction of the N rays.

src/model/dvgo/dcvgo.py:340

(ctx, w, s, n_max, ray_id)

src/model/dvgo/dcvgo.py:495

xyz: global coordinates to query

src/model/dvgo/grid.py:48

xyz: global coordinates to query

src/model/dvgo/grid.py:123

Skip know freespace @xyz: [..., 3] the xyz in global coordinate.

src/model/dvgo/grid.py:417

Volume rendering @rays_o: [N, 3] the starting point of the N shooting rays. @rays_d: [N, 3] the shooting direction of the N rays.

src/model/dvgo/dvgo.py:433

alpha = 1 - exp(-softplus(density + shift) * interval) = 1 - exp(-log(1 + exp(density + shift)) * interval) = 1 -

src/model/dvgo/dvgo.py:546

(ctx, density, shift, interval)

src/model/dvgo/dvgo.py:581

(ctx, alpha, ray_id, N)

src/model/dvgo/dvgo.py:608

Volume rendering @rays_o: [N, 3] the starting point of the N shooting rays. @rays_d: [N, 3] the shooting direction of the N rays.

src/model/dvgo/dmpigo.py:351

src/model/plenoxel/dataclass.py:106

src/model/plenoxel/dataclass.py:110

Functiongen_morton

(D, device, dtype=torch.long)

src/model/plenoxel/utils.py:83

Functiongenerate_basis

Generates a 3D basis by tesselating a geometric polyhedron. Args: base_shape: string, the name of the starting polyhedron, must be either

src/model/refnerf/helper.py:322

Functiongenerate_dir_enc_fn

Generate directional encoding (DE) function. Args: deg_view: number of spherical harmonics degrees to use. Returns: A functi

src/model/refnerf/ref_utils.py:175

Functiongenerate_ellipse_path

Generate an elliptical render path based on the given poses.

src/data/pose_utils.py:75

← previous next →301–400 of 605, ranked by callers