* cleaning up requirements.txt and adding versions
* need to update github actions, docs, and make optional dependencies work
* updated documentation
* set directory
* new functorch version
* updated caching
* fixed hash
* 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>
* starting docs for pipelines
* working on an example
* clearing output
* starting to implement config changes and add documentation
* removing diff
* format
* templated pipeline notebook a bit
* black
* might fix the stun server issue
* still debugging webrtc
* another turn server
* working on github actions
* updating actions file
* fixing actions
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* updating viewer
* update docs
* 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>
* initial commit for viewer refactor
* updating name change to nerfactory
* adding headers
* making the rendering fix which broke from a merge
* things are starting to work. removing old commands now
* removed prints
* cleanup
* updating state works now even for nested dictionaries
* updating state in redux. listening for state changes. trying to draw three.js now
* added drawing functionality. need to fix translation of frustums and image planes
* images and frustums drawn correctly
* fixing lint
* github actions
* back to npm
* fixing eslint
* remove package.json from root
* new favicon
* some viewer cleanup
* notebook
* fixed camera drawings speed to avoid redraw
* trying to get Leva to update
* quick fix
* synced config panel
* adding notebook
* fixing output print error
* updated three.js version. only send camera information when it moves
* changing code back to updating camera constantly because packets seem to be lost
* name change
* starting viewer docs
* new workflow
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* homepage
* homepage
* / to ?
* more documentation
* fixed none error
* instant ngp fix
* faster image sending over tcp. instant ngp bin fix. lowest res when moving
* black
* requirements
Contract the scene to a sphere of radius 2. This is the same contraction used in MipNeRF 360.
Add mipnerf 360 graph and config. It currently doesn't contain the other advancements made in the paper (sample proposal network, regularizers)
