Changed the ValueError message when using a camera.xml that contains multiple sensors. Per-frame intrinsics can be defined, the previous message said that they were not supported.
* Fix model loading collate_fn non-static
* Fix serialization
* Add tests to reproduce the error
* Comment the change to let the tests fail
* Finish changes
* Render Omni-directional stereo (360 3D VR)
Adding the omni-directional stereo camera model to render 3D 360 video and images for VR. This includes the camera models for the left and right eyes and additions to the render script to stack the left and right renders for the final render.
I have also updated the documentation on the custom_dataset page to have information on ODS but let me know if there is a better place to put it.
* Updated ODS camera model and render paths
Updates based on suggested code changes including adding a helper function for ODS and improving path creation.
I also added a part where if a user tries to render a video with an output path that doesn't have an extension it will automatically add .mp4 to the end. Otherwise this usually results in an error when there is no file extension when rendering a video.
* Updated formatting for render and cam path scripts
Updated python formatting for render and camera_paths script
* Adding type checking for ODS function and reformatting camera type code
Added the type checking and doc string for the ODS camera rays function and reformatted the cam_type ray if statements.
* started a package to easily swap out tcnn for pytorch
* trains with pytorch and not tcnn
* cleaned up imports
* making it easy to install on mac
* removed/reverted files
* merged main
* reverted changes
* updating config
* starting to add nerfacto to tests
* fixxing default value
* fixed default implementation
* defaults to torch if tcnn and not installed
* update log
* add comment
* resolved pr comments
* fix
* update default
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Co-authored-by: Ethan Weber <ethanweber@eecs-128-32-175-250.dhcp.berkeley.edu>
* add deepfloyd model
* black
* lint
* linting
* cast sds gradient to tensor
* change generator type to optional
* lint
* Type fixes
* add typing to sds
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Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
Co-authored-by: Matt Tancik <mattt4001@gmail.com>
* process additional images
* added on_train_end to base pipeline
* added on_train_end to base pipeline
* remove on_train_end from Base Model and Base Datamanager
* Add new callback type OnTrainEndCallback
* return empty list as default
* add on_train_end to trainingcallbacklocation enum
* make step var into union of int and None
* after train end callback
* Delete unnecessary file
* Delete unnecessary file
* Delete unnecessary file
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Co-authored-by: Matthew Tancik <tancik@berkeley.edu>
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