Emilien Garreau 813e941de5 Add the OverfitModel ...

Summary:
Introduces the OverfitModel for NeRF-style training with overfitting to one scene.
It is a specific case of GenericModel. It has been disentangle to ease usage.

## General modification

1. Modularize a minimum GenericModel to introduce OverfitModel
2. Introduce OverfitModel and ensure through unit testing that it behaves like GenericModel.

## Modularization

The following methods have been extracted from GenericModel to allow modularity with ManyViewModel:
- get_objective is now a call to weighted_sum_losses
- log_loss_weights
- prepare_inputs

The generic methods have been moved to an utils.py file.

Simplify the code to introduce OverfitModel.

Private methods like chunk_generator are now public and can now be used by ManyViewModel.

Reviewed By: shapovalov

Differential Revision: D43771992

fbshipit-source-id: 6102aeb21c7fdd56aa2ff9cd1dd23fd9fbf26315

2023-03-24 07:27:39 -07:00

..

__init__.py

test runner for experiment.py

2022-05-26 05:33:03 -07:00

experiment.yaml

Add the OverfitModel

2023-03-24 07:27:39 -07:00

test_experiment.py

Add the OverfitModel

2023-03-24 07:27:39 -07:00

test_optimizer_factory.py

allow dots in param_groups

2022-11-07 06:41:40 -08:00

test_visualize.py

visualize_reconstruction fixes

2022-09-07 20:10:07 -07:00

utils.py

visualize_reconstruction fixes

2022-09-07 20:10:07 -07:00