* add initial method configs and data manager
* add neus scheduler
* add initial surface model and neus
* add Neus ray sampler
* add sdf field
* move scale/shift calc to math utils
* add debug and fix sdf_dataset typo
* update vscode neus debug
* fix dataset and get initial working version
* add magic number from original repo
* black fixes
* clean up get weights/transmittance from alphas
* clean up typos in sdf datamanager
* type annotations on neus scheduler and remove unused params
* clean up and annotate sdf field along w/ other fixes
* more clean up
* remove unnessary directions norm
* resolve comments
* update neus scheduler to follow refactor
* fix linter errors
* fix some typos
* remove get_weights_from_alpha
* more comment fixes
* more linter error fixes
* clean up and add comments
* more little fixes for types/comments
* more comments
* rename NeuS Scheduler to DelayedScheduler
* rename DelayedScheduler to CosineDecayScheduler
* added volinga model to NeRFStudio
* Removed unused dependencies
* Modified dockerfile to match main
* Corrected typo in core_code_checks.yml
* Corrected typo in core_code_checks.yml
* updated test with Volinga
* Added conversion to NVOL documentation
* [WIP] Refactor documentation and removing Volinga config
* Volinga use existing NerfactoModelConfig
* Added Unreal Engine documentation to extensions
* removed unused field class import
* Updated docs
* Documentation ready
* Update Dockerfile
---------
Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
* fix semseg vis
* semantic configs
* change defaults
* Fix type
* format
* fix imports
* suggested fix for issue 1465
* fix docstring placement; avoid log spam and runtime errors
`nerfstudio\models\semantic_nerfw.py:81: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
self.colormap = torch.tensor(self.semantics.colors).to(self.device)`
* hide semantics output choice, since it kills the viewer
* revert some changes
* caps
* move both image and mask to GPU to avoid runtime error
as suggested in https://github.com/nerfstudio-project/nerfstudio/issues/1465#issuecomment-1441117562
---------
Co-authored-by: machenmusik <machenmusik@users.noreply.github.com>
* Allow black/white background color in Nerfacto
* Use white background in Nerfacto Blender Benchmark
* Fixed unused import
* Updated index for license headers script
* setting tensorf default from wandb to viewer
* adding functionality to adjust model depending on the step of the checkpoint that is loaded
* cleaning code
* bug fix
* fixing style
* fixed an exception bug in case of num_samples is 0
fixed an exception bug when num samples is 0 ,
"IndexError tensors used as indices must be long, byte or bool tensors"
change type to long ( was float32)
* implemented crop box in gui. For now works on instant-ngp-bounded
* fixed import bugs
* update aabb every time and not only on training
* prevent crash when chosing accomulation and crop box
* Checkbox
* max_box is bounded by scevne box in the gui
* implemented altenative intesection to nerfacc
* convert str to bool correctly
* fixed isort bug
* fixed isort bug2
* update viewer version
* remove json bug
* Update UI
* Force black background
* Fix formatting
Co-authored-by: dror <you@example.com>
Co-authored-by: Matt Tancik <tancik@berkeley.edu>
Co-authored-by: Matthew Tancik <mattt4001@gmail.com>
* 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>
* staring normals PR
* code runs but visualization looks bad
* Camera and world coordinate conventions (#889)
* documented coordinate conventions without a figure for now
* another sentence
* update frames docs
* explain intrinsics and extrinsics
* more comments
* fix build
* Start viewer with more accurate speed calculation (#899)
Start viewer with more accurate speed calc
* Minor doc updates (#903)
* fix conflicts
* code runs but visualization looks bad
* normals implemented and vis fixed. still debugging quality
* minor name change
* comment
* fix black
* lint
* predicting normals
* adding detach
* predicted normals
* improved normals prediction performance
* cleaning code
* cleaning code
* cleaning code
* adding type to function param
* fixing tensorf forward func
* reverting tensorf changes
* fix style with tensorf field
* adding normals check to tensorffield
Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
Co-authored-by: terrance <terrance.3512@gmail.com>
* Add D-NeRF temporal distortion and D-NeRF model
This allows for temporal distortion to be enabled on a variety of models through config
parameters, without an explicit model. Temporal distortion and MIP-NeRF are not currently
jointly runnable but can be changed in the future.
* Simplifying changes
* Simplifying changes
Co-authored-by: Matthew Tancik <tancik@berkeley.edu>