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github.com/chih-hao-lin/urbanir
/ types & classes
Types & classes
27 in github.com/chih-hao-lin/urbanir
⨍
Functions
237
◇
Types & classes
27
↓ 6 callers
Class
NGP
models/networks.py:13
↓ 3 callers
Class
SunLight
models/shading.py:269
↓ 2 callers
Class
FrameEmbedding
utils.py:105
↓ 2 callers
Class
Image
datasets/colmap_utils.py:48
↓ 2 callers
Class
tntDataset
datasets/tnt.py:19
↓ 1 callers
Class
ExponentialAnnealingWeight
losses.py:63
↓ 1 callers
Class
KittiDataset
datasets/kitti360.py:15
↓ 1 callers
Class
NeRFLoss
losses.py:74
↓ 1 callers
Class
NeRFSystem
train.py:57
↓ 1 callers
Class
NightLight
models/shading.py:74
↓ 1 callers
Class
SpotLight
models/shading.py:127
↓ 1 callers
Class
SunSkyModel
models/shading.py:40
↓ 1 callers
Class
implicit_mask
models/implicit_mask.py:6
Class
BaseDataset
Define length and sampling method
datasets/base.py:5
Class
ColmapDataset
datasets/colmap.py:47
Class
DistortionLoss
Distortion loss proposed in Mip-NeRF 360 (https://arxiv.org/pdf/2111.12077.pdf) Implementation is based on DVGO-v2 (https://arxiv.org/pdf/220
losses.py:35
Class
RayAABBIntersector
Computes the intersections of rays and axis-aligned voxels. Inputs: rays_o: (N_rays, 3) ray origins rays_d: (N_rays, 3) ray
models/custom_functions.py:9
Class
RayMarcher
March the rays to get sample point positions and directions. Inputs: rays_o: (N_rays, 3) ray origins rays_d: (N_rays, 3) nor
models/custom_functions.py:56
Class
RaySphereIntersector
Computes the intersections of rays and spheres. Inputs: rays_o: (N_rays, 3) ray origins rays_d: (N_rays, 3) ray directions
models/custom_functions.py:33
Class
ReLU
models/custom_functions.py:253
Class
RefLoss
models/custom_functions.py:205
Class
TruncExp
models/custom_functions.py:240
Class
TruncTanh
models/custom_functions.py:271
Class
VolumeRenderer
Volume rendering with different number of samples per ray Used in training only Inputs: sigmas: (N) rgbs: (N, 3)
models/custom_functions.py:117
Class
VolumeRendererVisibility
Calculate visibility as transmittance by volume rendering Used in training only Inputs: sigmas: (N) rgbs: (N, 3)
models/custom_functions.py:165
Class
WaymoDataset
datasets/waymo.py:17
Class
global_var
models/global_var.py:5