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nerfstudio/configs/vanilla_nerf.yaml
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Ethan Weber 146332cfb6 Refactoring (data loading, semantic-nerf/nerf-w fixes, ...) (#8)
* 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
2022-06-02 14:58:46 -04:00

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YAML

defaults:
- default_setup
- _self_
experiment_name: blender_lego
method_name: vanilla_nerf
graph:
# saving model specifications
model_dir: /tmp/pyrad_models/
steps_per_save: null
steps_per_test: 1000
max_num_iterations: 1000000
# pretrained loading options
resume_train:
load_dir: # pretrained model directory
load_step: # pretrained model's step number
network:
_target_: pyrad.nerf.graph.vanilla_nerf.NeRFGraph
collider_config:
_target_: pyrad.nerf.colliders.NearFarCollider
near_plane: 2.0
far_plane: 6.0
num_coarse_samples: 64
num_importance_samples: 128
loss_coefficients: # loss coefficients
rgb_loss_coarse: 1.0
rgb_loss_fine: 1.0
# optimizer options for network
param_groups:
fields:
optimizer:
_target_: torch.optim.RAdam
lr: 0.0005
scheduler:
_target_: pyrad.nerf.optimizers.ExponentialDecaySchedule
lr_final: 0.000005
max_steps: 1000000