* 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
* ga
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* ga
* 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
* updated three.js version. only send camera information when it moves
* changing code back to updating camera constantly because packets seem to be lost
* interrupting function during rendering
* small linting fixes
* added logic for interrupting rendering + separted out visualizer logic from trainer
* finish rendering if at minimum
Co-authored-by: Ethan Weber <eweb0124@gmail.com>
* updated three.js version. only send camera information when it moves
* changing code back to updating camera constantly because packets seem to be lost
* interrupting function during rendering
* small linting fixes
* added logic for interrupting rendering + separted out visualizer logic from trainer
Co-authored-by: evonneng <evonne_ng@berkeley.edu>
+ Convert Frustum and RayBundle into TensorDataclasses.
+ Support TensorDataclass fields in TensorDataclasses
+ Support non batched types in TensorDataclass (The are iignored)
* restructuring for webrtc integration
* some webrtc code but not working
* webrtc connects when muted
* the flag is real!
* updating camera in websocket bridge. moved webrtc to existing websocket connection instead of http request. need to change video track
* rudimentary adding real-time imaging
* added free TURN server so code works everywhere
* slow rendering works during training with the viewer
* fix tensor device and update default model save dir
* forgot to include trainer updates
* removing some code that isn't needed
* quick fix to bins. not the most accurate however
* cleaned up code and added some config logic
* black
* adding license
Co-authored-by: evonneng <evonne_ng@berkeley.edu>
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)
