Config restructure (#283)

* starting docs for pipelines

* working on an example

* clearing output

* starting to implement config changes and add documentation

* wip: removed cicular imports; porting basic config into python; todo: get python setups workin

* circular imports again

* wip: pausing at dataloader sort of working

* break for today

* running vanilla

* wip need to get all the config docs working

* laptop about to die

* instant ngp working

* added all configs for all methods; not tested yet: [mipnerf360, nerfw, semantic_nerf]

* unpacking later

* done with pylinting

* mostly done. just need to do docs and one test

* added import order to docs

* fixing near/far plane and other config things

* making loggers also instantiable via configs

* docs

* lint

* making --help work with dcargs

* moving configs back into flat

* convert list to tuples; fixed post init function with mutable params

* lint

* made run_eval and benchmarking scripts compatible with new config/dcargs

* lint

* added option to load configs from presaved config

Co-authored-by: evonneng <evonne_ng@berkeley.edu>

docs/tutorials/quickstart.md

@@ -118,7 +118,7 @@ bash environment/run_tensorboard.sh
 To evaluate the trained NeRF, we provide an evaluation script that allows you to do benchmarking (see our [benchmarking workflow](../tooling/benchmarking.md)) or to render out the scene with a custom trajectory and save the output to a video.
 
 ```bash
-python scripts/run_eval.py --method=traj --traj=spiral --output-filename=output.mp4 --config-name=graph_instant_ngp.yaml trainer.resume_train.load_dir=outputs/blender_lego/instant_ngp/2022-07-07_230905/checkpoints
+python scripts/run_eval.py --method=traj --traj=spiral --output-filename=output.mp4 --config-name=graph_instant_ngp.yaml --checkpoint-dir=outputs/blender_lego/instant_ngp/2022-07-07_230905/checkpoints
 ```
 
 Please note, this quickstart allows you to preform everything in a headless manner. We also provide a web-based visualizer that allows you to easily monitor training or render out trajectories. See our [viewer docs](../tutorials/viewer/viewer_quickstart.md) for more.