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_target: !!python/name:nerfstudio.engine.trainer.Trainer ''
data: null
experiment_name: ''
gradient_accumulation_steps: {}
load_checkpoint: null
load_config: null
load_dir: null
load_scheduler: true
load_step: null
log_gradients: false
logging: !!python/object:nerfstudio.configs.base_config.LoggingConfig
local_writer: !!python/object:nerfstudio.configs.base_config.LocalWriterConfig
_target: !!python/name:nerfstudio.utils.writer.LocalWriter ''
enable: true
max_log_size: 10
stats_to_track: !!python/tuple
- !!python/object/apply:nerfstudio.utils.writer.EventName
- Train Iter (time)
- !!python/object/apply:nerfstudio.utils.writer.EventName
- Train Rays / Sec
- !!python/object/apply:nerfstudio.utils.writer.EventName
- Test PSNR
- !!python/object/apply:nerfstudio.utils.writer.EventName
- Vis Rays / Sec
- !!python/object/apply:nerfstudio.utils.writer.EventName
- Test Rays / Sec
- !!python/object/apply:nerfstudio.utils.writer.EventName
- ETA (time)
max_buffer_size: 20
profiler: basic
relative_log_dir: !!python/object/apply:pathlib.PosixPath []
steps_per_log: 10
machine: !!python/object:nerfstudio.configs.base_config.MachineConfig
device_type: cuda
dist_url: auto
machine_rank: 0
num_devices: 1
num_machines: 1
seed: 42
max_num_iterations: 30000
method_name: splatfacto
mixed_precision: false
optimizers:
bilateral_grid:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: &id001 !!python/name:torch.optim.adam.Adam ''
eps: 1.0e-15
lr: 0.002
max_norm: null
weight_decay: 0
scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
_target: &id002 !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler ''
lr_final: 0.0001
lr_pre_warmup: 0
max_steps: 30000
ramp: cosine
warmup_steps: 1000
camera_opt:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.0001
max_norm: null
weight_decay: 0
scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
_target: *id002
lr_final: 5.0e-07
lr_pre_warmup: 0
max_steps: 30000
ramp: cosine
warmup_steps: 1000
features_dc:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.0025
max_norm: null
weight_decay: 0
scheduler: null
features_rest:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.000125
max_norm: null
weight_decay: 0
scheduler: null
means:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.00016
max_norm: null
weight_decay: 0
scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
_target: *id002
lr_final: 1.6e-06
lr_pre_warmup: 1.0e-08
max_steps: 30000
ramp: cosine
warmup_steps: 0
opacities:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.05
max_norm: null
weight_decay: 0
scheduler: null
quats:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.001
max_norm: null
weight_decay: 0
scheduler: null
scales:
optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
_target: *id001
eps: 1.0e-15
lr: 0.005
max_norm: null
weight_decay: 0
scheduler: null
output_dir: !!python/object/apply:pathlib.PosixPath
- /
- home
- root-desktop
- ULI_DATA
- amazon_clutter
pipeline: !!python/object:nerfstudio.pipelines.base_pipeline.VanillaPipelineConfig
_target: !!python/name:nerfstudio.pipelines.base_pipeline.VanillaPipeline ''
datamanager: !!python/object:nerfstudio.data.datamanagers.full_images_datamanager.FullImageDatamanagerConfig
_target: !!python/name:nerfstudio.data.datamanagers.full_images_datamanager.FullImageDatamanager ''
cache_compressed_images: true
cache_images: cpu
cache_images_type: uint8
camera_res_scale_factor: 1.0
data: null
dataloader_num_workers: 4
dataparser: !!python/object:nerfstudio.data.dataparsers.nerfstudio_dataparser.NerfstudioDataParserConfig
_target: !!python/name:nerfstudio.data.dataparsers.nerfstudio_dataparser.Nerfstudio ''
auto_scale_poses: true
center_method: poses
data: !!python/object/apply:pathlib.PosixPath
- /
- home
- root-desktop
- ULI_DATA
- amazon_clutter
depth_unit_scale_factor: 0.001
downscale_factor: null
eval_interval: 8
eval_mode: fraction
load_3D_points: true
mask_color: null
orientation_method: up
scale_factor: 1.0
scene_scale: 1.0
train_split_fraction: 1.0
eval_num_images_to_sample_from: -1
eval_num_times_to_repeat_images: -1
fps_reset_every: 100
images_on_gpu: false
masks_on_gpu: false
max_thread_workers: null
prefetch_factor: 4
train_cameras_sampling_seed: 42
train_cameras_sampling_strategy: random
model: !!python/object:nerfstudio.models.splatfacto.SplatfactoModelConfig
_target: !!python/name:nerfstudio.models.splatfacto.SplatfactoModel ''
background_color: random
camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig
_target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer ''
mode: SO3xR3
optimizer: null
rot_l2_penalty: 0.001
scheduler: null
trans_l2_penalty: 0.01
collider_params:
far_plane: 6.0
near_plane: 2.0
color_corrected_metrics: false
cull_alpha_thresh: 0.005
cull_scale_thresh: 0.5
cull_screen_size: 0.15
densify_grad_thresh: 0.0006
densify_size_thresh: 0.001
enable_bg_model: false
enable_collider: true
eval_num_rays_per_chunk: 4096
grid_shape: !!python/tuple
- 16
- 16
- 8
loss_coefficients:
rgb_loss_coarse: 1.0
rgb_loss_fine: 1.0
max_gauss_ratio: 10.0
max_gs_num: 1000000
mcmc_opacity_reg: 0.01
mcmc_scale_reg: 0.01
n_split_samples: 2
noise_lr: 500000.0
num_downscales: 0
num_random: 100000
output_depth_during_training: false
prompt: null
random_init: false
random_scale: 5.0
rasterize_mode: antialiased
refine_every: 100
reset_alpha_every: 30
resolution_schedule: 3000
sh_degree: 3
sh_degree_interval: 1000
split_screen_size: 0.05
ssim_lambda: 0.2
stop_screen_size_at: 4000
stop_split_at: 25000
strategy: mcmc
use_absgrad: true
use_bilateral_grid: true
use_scale_regularization: true
warmup_length: 400
project_name: nerfstudio-project
prompt: null
relative_model_dir: !!python/object/apply:pathlib.PosixPath
- nerfstudio_models
save_only_latest_checkpoint: true
start_paused: false
steps_per_eval_all_images: 1000
steps_per_eval_batch: 0
steps_per_eval_image: 100
steps_per_save: 2000
timestamp: ''
use_grad_scaler: false
viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
camera_frustum_scale: 0.1
default_composite_depth: true
image_format: jpeg
jpeg_quality: 75
make_share_url: false
max_num_display_images: 512
num_rays_per_chunk: 32768
quit_on_train_completion: true
relative_log_filename: viewer_log_filename.txt
websocket_host: 0.0.0.0
websocket_port: null
websocket_port_default: 7007
vis: viewer
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