GitLab

* add pre-computed transmittance_

* add prefix_trans to all render  functions

* Fixed traversal with far_plane

* test added for traversal with near and far planes

* More correct test

* black formatting for test

* Per-ray min-max distances in sampling

* Test for sampling with min/max distances added

* black formatting

* Fixed traversal with far_plane

* test added for traversal with near and far planes

* More correct test

* black formatting for test

* opencv_lens_undistortion

* fix k4 bug for undistortion, support fisheye

* support k3 k4 k5 k6

* fix _opencv_len_distortion; format

* naming: len->lens

* update workflow; fix Literal

* fix format

* fix typo

* fix workflow for cu102

* update workflow; fix Literal

* fix format

* fix typo

* update workflow; fix Literal

* fix format

* update workflow

* tiny fix

* format

* format

* fix workflow

* fix workflow

* update cuda env file

* update workflow

* tiny fix

* format

* format

* fix workflow

* fix workflow

* update workflow

* tiny fix

* format

* format

* fix workflow

* update workflow

* tiny fix

* format

* format

* missing docs for the 4 dropin examples

* fix docs

* profiling in coding.rst

update the doc

* importance_sampling with test

* package importance_sampling

* compute_intervals tested and packaged

* compute_intervals_v2

* bicycle is failing

* fix cut in compute_intervals_v2, test pass for rendering

* hacky way to get opaque_bkgd work

* reorg ING

* PackedRaySegmentsSpec

* chunk_ids -> ray_ids

* binary -> occupied

* test_traverse_grid_basic checked

* fix traverse_grid with step size, checked

* support max_step_size, not verified

* _cuda and cuda; upgrade ray_marching

* inclusive scan

* test_exclusive_sum but seems to have numeric error

* inclusive_sum_backward verified

* exclusive sum backward

* merge fwd and bwd for scan

* inclusive & exclusive prod verified

* support normal scan with torch funcs

* rendering and tests

* a bit clean up

* importance_sampling verified

* stratified for importance_sampling

* importance_sampling in pdf.py

* RaySegmentsSp...

* Fix train_mlp_nerf

* Fix black and isort

* multres grid

* prop

* benchmark with prop and occ

* benchmark blender with weight_decay

* docs

* bump version

* move torch data transfer into dataloader

* Update README

* use args.data_root

* Remove redundant check

* Fix isort

* Fix black

* Fix the link to train_mlp_nerf

* Fix the link