Files
nerfstudio/configs/graph/default_graph.yaml
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YAML

# saving model specifications
model_dir: /tmp/mattport_models/
steps_per_save: null
steps_per_test: 100
max_num_iterations: 1000000
# pretrained loading options
resume_train:
load_dir: # pretrained model directory
load_step: # pretrained model's step number
network:
_target_: mattport.nerf.graph.vanilla_nerf.NeRFGraph
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_: mattport.nerf.optimizers.ExponentialDecaySchedule
lr_final: 0.000005
max_steps: 1000000
cameras:
optimizer:
_target_: torch.optim.SGD
lr: 1e-4
scheduler:
_target_: torch.optim.lr_scheduler.ExponentialLR
gamma: 0.1