* misc cuda improvements. added cone angle as param
* wandb as default. better organization for experiments
* turn off tensorboard
* disable eval when using viewer
* remove comment
* launch.json
* added tensorf, updated requirements for windows
* cleaning up imports
* tensorf changes
* initial working version of tensorf
* added callback for feature upsampling
* modifying tests to match changes
* reverting requirements changes
* reverting unnecessary changes
* reverting unnecessary changes
* no more upsampling on step 0
* removed density field, fixed error msg
* modified callbacks and upsampling, reinitializing optimzer in training loop
* deleting tensorf_field file"
* checkpointing progress on restructuring callbacks
* updated callback logic for before and after train capabilities
* fixing upsampling stepping
* merging
* adding tensorf to config, fixing some bugs with new callback
* changed the way callbacks detected steps argument in callback func
* fixing typing
* adding pylint disable no self use to get_training_callbacks
* fixing config
* changing callback in vanilla nerf to allow for no density field
* cleanup
* removing config yaml
Co-authored-by: Ethan Weber <eweb0124@gmail.com>
* Model class done, pipeline class still needs more visualization stuffs
* Renaming the BaseDataContainer to DataloaderOutputs and adding documentation
* Pushing more documentation, removing some trivial functions
* Updating dict typing
* Removing config dicts for collider
* Passing tests
* Pushing shell new dataloader
* Saving work, need to fix NGP model's get_loss_dict and Pipeline
* V1 of the ngp pipeline should be done. Need train script and debugging
* Updating with latest instant-ngp code
* Syntax updates from latest ngp graph code
* Linter, removing unneeded code in new NGP graph code
* Style
* Should be good now. Linter is happy and the code is verbatum current instant-ngp
* Everything done except novel view testing code
* Fixing some nitpicks
* Debugging dataloader
* merged master
* WOP. integrating pipeline with configs and notebook demo
* removing model folder
* a lot of name changing from Graph to Model
* in progress... changing trainer to use pipeline... broken right now
* pipeline code runs
* switched to val dataset
* makes run_eval.py work
* updated configs for pipeline change
* fixing test_run_train script
* fixing black and linting
* fix docs
* small updates to trainer
Co-authored-by: Jake Austin <jake-austin@berkeley.edu>
Ethan Weber
Jake Austin
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Terrance WangandEthan Weber
