GitLab

* 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

* RaySegmentsSpec in data_specs; fix various bugs

* verified with _proposal_packed.py

* importance sampling support batch input/output. need to verify

* prop script with batch samples

* try to use cumsum  instead of cumprod

* searchsorted

* benchmarking prop

* ray_aabb_intersect untested

* update prop benchmark numbers

* minor fixes

* batched ray_aabb_intersect

* ray_aabb_intersect and traverse with grid(s)

* tiny optimize for traverse_grids kernels

* traverse_grids return intervals and samples

* cub not verified

* cleanup

* propnet and occgrid as estimators

* training print iters 10k

* prop is good now

* benchmark in google sheet.

* really cleanup: scan.py and test

* pack.py and test

* rendering and test

* data_specs.py and pdf.py docs

* data_specs.py and pdf.py docs

* init and headers

* grid.py and test for it

* occ grid docs

* generated docs

* example docs for pack and scan function.

* doc fix for volrend.py

* doc fix for pdf.py

* fix doc for rendering function

* docs

* propnet docs

* update scripts

* docs: index.rst

* methodology docs

* docs for examples

* mlp nerf script

* update t-nerf script

* rename dnerf to tnerf

* misc update

* bug fix: pdf_loss with test

* minor fix

* update readme with submodules

* fix format

* update gitingore file

* fix doc failure. teaser png to jpg

* docs in examples/

* 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

* update readme install, bump 0.3.4

* add package data

* fix

* update readme install, bump 0.3.4

* add package data

pre-built wheels 

restore working 0.2.1 version, since .so will not exist on Windows
Co-authored-by: mchen001_comcast <Michael_Chen@cable.comcast.com>

fix for #112

fixed a hang bug where t_target has inf value ( ray is parralel to plane ?)
t_target should be larger that far anyway

* Reduce conversion. Assume that ray_indices should always be long and pack_info always int

* Remove some more casting

* More casting fixes

* Remove unecessary long casting

* Fix changes in precision at python level, ray_pdf_query test is already broken since it was reverted

* Support long when rendering transmittance

* Support long

* Woops