* inerted a new model configuration instant-ngp-bounded
* added more remarks and small fixes
* went back to old near plane
* added the oprtion to get a file as well as directory in nerfstudio data parser
* pretify prev commit
* review fixes
* more clear explanation in README.md
* reverted readme changes
* fixed merge bug
* review changes. update config.data docs support for json files inputs
Co-authored-by: dror <you@example.com>
* launch_eval_blender.sh: fix script
- add shebang
- add -s option to launch a single job per GPU
- last GPU was ignored
- kill all subprocesses when script is terminated
* launch_train_blender.sh: fix script
- add -s option to launch a single job per GPU
- add -v option to use tensorboard instead of wandb
- set nerfacto options according to https://github.com/nerfstudio-project/nerfstudio/issues/806#issuecomment-1284327844
- use a single timestamp for all training jobs
- last GPU was ignored
- kill all subprocesses when script is terminated
- print the eval script command-line
* launch_eval_blender.sh: fix script
* Update benchmarking.md
* launch_train_blender.sh: add -s to eval command-line
* Update launch_train_blender.sh
* Update benchmarking.md
* testing; need to merge
* fixing wrong base file in models/base
* pushed input parser into datasets class to abstract away fetching data in dataloader
* slight name chage and all
* nits
* added dataparser
* added licnese
* starting docs for pipelines
* working on an example
* clearing output
* starting to implement config changes and add documentation
* wip: removed cicular imports; porting basic config into python; todo: get python setups workin
* circular imports again
* wip: pausing at dataloader sort of working
* break for today
* running vanilla
* wip need to get all the config docs working
* laptop about to die
* instant ngp working
* added all configs for all methods; not tested yet: [mipnerf360, nerfw, semantic_nerf]
* unpacking later
* done with pylinting
* mostly done. just need to do docs and one test
* added import order to docs
* fixing near/far plane and other config things
* making loggers also instantiable via configs
* docs
* lint
* making --help work with dcargs
* moving configs back into flat
* convert list to tuples; fixed post init function with mutable params
* lint
* made run_eval and benchmarking scripts compatible with new config/dcargs
* lint
* added option to load configs from presaved config
Co-authored-by: evonneng <evonne_ng@berkeley.edu>
* added beta_min to nerfw, which I think is needed
* added camera interpolation path and restructured run_eval code
* adding to gitignore
* addressing github comments. mostly documentation
* fixing nerfw dataset for test cases
* renaming dataloader to data. adding some dataloader classes
* restructuring configs
* fixed instant ngp tcnn direction rescaling
* working through test cases
* black and lint and tests
* some initial cuda code as I learn. using git to save progress.
* first cuda kernel for ray sampling that mostly works
* cleaning up code. working on lr. structs for scene bounds aabb
* added scene bounds collider code
* updated setup
* setup
* setup
* black
* including some files
* exporting env variable
* new file
* git workflows
* github actions
* github actions
* github actions
* removing env var
