* Add the following fixes to documentation:
* Fix trailing backslash in “Use docker image” section
* Replace escaped backslash with double-escaped backslash (see Sphinx issue: https://github.com/sphinx-doc/sphinx/issues/6730)
* Close backtick in `contributing.md`
* Add “run” to instructions for “Render Video”
* Remove unnecessary “,” in “Render Video”
* Correct “before preceding” to “before proceeding”
* Correct “viewpoinrts” to “viewpoints”
* Add missing “.” in “Process data”
* Specify “bash” for code blocks (for consistency with other blocks in the page)
* Fix code block in `viewer_quickstart.rst` (”Copy to clipboard” widget now works)
* Fix some code formatting issues in `export_geometry.md`
* Correct "harmoincs" to "harmonics" in docs.
* basic support for hloc (includes netvlad, super point, superglue in colmap), just a first test, not ready yet
* add exhaustive match option for hloc
* add command line option to choose the type of feature, matcher,...
* make hloc an optional dependency, update doc, and small bug fixes
* fix missing imports
* fix warnings, pylint,...
* fix overwrite previous commits
* fix import order from isort
* move find_tool_feature_matcher_combination to process_data_utils, add type hints and Args/Returns doc
* error message when no valid combination of sfm tool, feature type, and matcher
Co-authored-by: RandomPrototypes <delmotte_ar@yahoo.fr>
* testing; need to merge
* fixing wrong base file in models/base
* pushed input parser into datasets class to abstract away fetching data in dataloader
* slight name chage and all
* nits
* added dataparser
* added licnese
* cleaning up requirements.txt and adding versions
* need to update github actions, docs, and make optional dependencies work
* updated documentation
* set directory
* new functorch version
* updated caching
* fixed hash
* 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>
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
Mason McGough
matsurenandMatthew Tancik
Martin Piala
RandomPrototypesandRandomPrototypes
Nikhil Mohan
Ethan Weber
evonneng
Jake Austin
Ethan Weber
