* nerfbusters dataparser
* nerfbuster dataparser and visualization of eval views
* resolved some errors from pyright
* enable ns-process-data to take two videos as input and use one for eval and the other for train
* resolve some pyright issues
* instead of data being a tuple, I added eval_data as another argument
* implemented train eval split for all cases
* implemented train eval split for all cases
* reverting equi changes
* reverting reality capture changes
* raise valueerror
* revert comment
* added split override code back to dataparser
* reverted one change
* using image border now
* adding docs
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Co-authored-by: Ethan Weber <eweb0124@gmail.com>
* `isort` -> `ruff`
* `pylint` -> `ruff`
* Remove line
* More minor cleanup
* Better documentation for rules we are enabling
* Fix gitignore, run black
* vscode settings
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Co-authored-by: Matt Tancik <mattt4001@gmail.com>
* Refactor of image and video dataset conversion
The classes to convert images and video to a NerfStudio
dataset are moved to the main repo and refactor:
* Code duplications are removed
* Import of the class is now done from nerfstudio package instead of
scripts
* Doc formatting nits
* Doc formatting
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Co-authored-by: Brent Yi <yibrenth@gmail.com>
Frederik WarburgandEthan Weber
Milan van Wouden
Brent YiandMatt Tancik
Malcolm MielleandBrent Yi
Jonáš Kulhánek
Paul Wais