!!python/object:nerfstudio.engine.trainer.TrainerConfig
_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
- ubuntu
- grand_tour_dataset
- 2024-12-09-09-34-43_nerfstudio
- slices
- slice_b664e18f
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_images: gpu
    cache_images_type: uint8
    camera_res_scale_factor: 1.0
    data: null
    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
      - ubuntu
      - grand_tour_dataset
      - 2024-12-09-09-34-43_nerfstudio
      - slices
      - slice_b664e18f
      depth_unit_scale_factor: 1.0
      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_image_indices: !!python/tuple
    - 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
    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: 0.1
    cull_scale_thresh: 0.5
    cull_screen_size: 0.15
    densify_grad_thresh: 0.0008
    densify_size_thresh: 0.01
    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
    n_split_samples: 2
    num_downscales: 2
    num_random: 50000
    output_depth_during_training: true
    prompt: null
    random_init: false
    random_scale: 10.0
    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: 15000
    use_absgrad: true
    use_bilateral_grid: true
    use_scale_regularization: true
    warmup_length: 500
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