* 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
* 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>
