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)
* renaming dataloader to data. adding some dataloader classes
* restructuring configs
* fixed instant ngp tcnn direction rescaling
* working through test cases
* black and lint and tests
* in progress. camera_indices broken
* faster dataloader. starting on pixel sampler logic
* imagesampler and pixelsampler
* lint and black
* continuing merge
* pytest working
* fixed docs
* docs
* minor changes
* some initial cuda code as I learn. using git to save progress.
* first cuda kernel for ray sampling that mostly works
* cleaning up code. working on lr. structs for scene bounds aabb
* added scene bounds collider code
* updated setup
* setup
* setup
* black
* including some files
* exporting env variable
* new file
* git workflows
* github actions
* github actions
* github actions
* removing env var
* initial nerfw code
* nerfw should be implmented correctly now
* semantic nerf in progress. data loader is too slow and not clean right now
* added implementation of semantic nerf
* mend
* abstracted some test logic and actually using test images now
* moved logging from trainer to graph
* fixing dataset path
* refactored instant ngp code to use inheritance
* fixed my run_train
* fixed data path
* fixed data dir