* misc cuda improvements. added cone angle as param
* wandb as default. better organization for experiments
* turn off tensorboard
* disable eval when using viewer
* remove comment
* launch.json
* export button working
* view changes
* adding copy to clipboard feature
* camera choice dropdown
* going to add script saving next
* copy paste working. need to add aspect ratio
* aspect overlay kind of working
* lint
* aspect ratio fixed. version specified
* merge
* openrelay back
* 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>
* Model class done, pipeline class still needs more visualization stuffs
* Renaming the BaseDataContainer to DataloaderOutputs and adding documentation
* Pushing more documentation, removing some trivial functions
* Updating dict typing
* Removing config dicts for collider
* Passing tests
* Pushing shell new dataloader
* Saving work, need to fix NGP model's get_loss_dict and Pipeline
* V1 of the ngp pipeline should be done. Need train script and debugging
* Updating with latest instant-ngp code
* Syntax updates from latest ngp graph code
* Linter, removing unneeded code in new NGP graph code
* Style
* Should be good now. Linter is happy and the code is verbatum current instant-ngp
* Everything done except novel view testing code
* Fixing some nitpicks
* Debugging dataloader
* merged master
* WOP. integrating pipeline with configs and notebook demo
* removing model folder
* a lot of name changing from Graph to Model
* in progress... changing trainer to use pipeline... broken right now
* pipeline code runs
* switched to val dataset
* makes run_eval.py work
* updated configs for pipeline change
* fixing test_run_train script
* fixing black and linting
* fix docs
* small updates to trainer
Co-authored-by: Jake Austin <jake-austin@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
