* knocking out a couple
* Fix more errors
* Add pyright
* Remove some unnecessary cv2 type ignores, warning on missing imports
(for missing tinycudann)
* Minor annotation fixes
* Update docs
* Drop `None` from temporal distortion output
---------
Co-authored-by: Brent Yi <yibrenth@gmail.com>
* `isort` -> `ruff`
* `pylint` -> `ruff`
* Remove line
* More minor cleanup
* Better documentation for rules we are enabling
* Fix gitignore, run black
* vscode settings
---------
Co-authored-by: Matt Tancik <mattt4001@gmail.com>
* profiling
* set pose_optimizer to None if it's mode is "off"
* radial_and_tangential_undistort in nerfacc
* fix camera distortions
* update to nerfacc 0.5.1. Upgrade instant-ngp model.
* revert nerfacc to 0.5.1
* format
* allows to fall back to the pytorch undistortion
* format
* fix linting
* fix test
* fix test
* fix nerfplayer-ngp
* enable_collider=False for NGP
* nerfplayer verified.
* zero cone_angle for ngp bounded
* fix format
* fix pylint
* 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>
* fix notebook
* samples
* run all cells
* box center
* try saving again
* import order
* cube with different sides
* black
* black
* update metadata
* fix test
Co-authored-by: Katrin Schmid <kabischmid@gmail.com>
Co-authored-by: Matt Tancik <tancik@berkeley.edu>
+ Convert Frustum and RayBundle into TensorDataclasses.
+ Support TensorDataclass fields in TensorDataclasses
+ Support non batched types in TensorDataclass (The are iignored)
