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Types & classes27 in github.com/chih-hao-lin/urbanir

↓ 6 callersClassNGP
models/networks.py:13
↓ 3 callersClassSunLight
models/shading.py:269
↓ 2 callersClassFrameEmbedding
utils.py:105
↓ 2 callersClassImage
datasets/colmap_utils.py:48
↓ 2 callersClasstntDataset
datasets/tnt.py:19
↓ 1 callersClassExponentialAnnealingWeight
losses.py:63
↓ 1 callersClassKittiDataset
datasets/kitti360.py:15
↓ 1 callersClassNeRFLoss
losses.py:74
↓ 1 callersClassNeRFSystem
train.py:57
↓ 1 callersClassNightLight
models/shading.py:74
↓ 1 callersClassSpotLight
models/shading.py:127
↓ 1 callersClassSunSkyModel
models/shading.py:40
↓ 1 callersClassimplicit_mask
models/implicit_mask.py:6
ClassBaseDataset
Define length and sampling method
datasets/base.py:5
ClassColmapDataset
datasets/colmap.py:47
ClassDistortionLoss
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
ClassRayAABBIntersector
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
ClassRayMarcher
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
ClassRaySphereIntersector
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
ClassReLU
models/custom_functions.py:253
ClassRefLoss
models/custom_functions.py:205
ClassTruncExp
models/custom_functions.py:240
ClassTruncTanh
models/custom_functions.py:271
ClassVolumeRenderer
Volume rendering with different number of samples per ray Used in training only Inputs: sigmas: (N) rgbs: (N, 3)
models/custom_functions.py:117
ClassVolumeRendererVisibility
Calculate visibility as transmittance by volume rendering Used in training only Inputs: sigmas: (N) rgbs: (N, 3)
models/custom_functions.py:165
ClassWaymoDataset
datasets/waymo.py:17
Classglobal_var
models/global_var.py:5