configs/ship.yml

!!python/object:genie.genie_trainer.GenieTrainerConfig
_target: !!python/name:genie.genie_trainer.GenieTrainer ''
data: &id004 !!python/object/apply:pathlib.PosixPath
- data
- nerf_synthetic
- ship
denisification_interval: 200
densification_start_step: 1000
densification_stop_step: 8000
experiment_name: ship
freeze_means_step: 15000
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: genie
mixed_precision: false
optimizers:
  fields:
    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
      _target: &id001 !!python/name:torch.optim.adam.Adam ''
      eps: 1.0e-15
      lr: 0.01
      max_norm: null
      weight_decay: 1.0e-06
    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
      _target: &id002 !!python/name:genie.utils.schedulers.ChainedScheduler ''
      gamma: 0.33
      max_steps: 30000
      milestones: &id003 !!python/tuple
      - 0.5
      - 0.75
      - 0.9
  log_covs:
    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
      _target: *id001
      eps: 1.0e-15
      lr: 0.001
      max_norm: null
      weight_decay: 0
    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
      _target: *id002
      gamma: 0.33
      max_steps: 30000
      milestones: *id003
  means:
    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
      _target: *id001
      eps: 1.0e-15
      lr: 1.0e-05
      max_norm: null
      weight_decay: 0
    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
      _target: *id002
      gamma: 0.33
      max_steps: 30000
      milestones: *id003
  quats:
    optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
      _target: *id001
      eps: 1.0e-15
      lr: 0.001
      max_norm: null
      weight_decay: 0
    scheduler: !!python/object:genie.utils.schedulers.ChainedSchedulerConfig
      _target: *id002
      gamma: 0.33
      max_steps: 30000
      milestones: *id003
output_dir: !!python/object/apply:pathlib.PosixPath
- outputs
pipeline: !!python/object:genie.genie_pipeline.GeniePipelineConfig
  _target: !!python/name:genie.genie_pipeline.GeniePipeline ''
  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
    cache_images_type: float32
    camera_optimizer: null
    camera_res_scale_factor: 1.0
    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
    data: *id004
    dataparser: !!python/object:genie.data.dataparsers.GenieBlenderDataParserConfig
      _target: !!python/name:genie.data.dataparsers.GenieBlender ''
      alpha_color: black
      data: !!python/object/apply:pathlib.PosixPath
      - data
      - blender
      - lego
      ply_path: null
      scale_factor: 1.0
    eval_image_indices: !!python/tuple
    - 0
    eval_num_images_to_sample_from: .inf
    eval_num_rays_per_batch: 1024
    eval_num_times_to_repeat_images: .inf
    images_on_gpu: false
    masks_on_gpu: false
    patch_size: 1
    pixel_sampler: !!python/object:nerfstudio.data.pixel_samplers.PixelSamplerConfig
      _target: !!python/name:nerfstudio.data.pixel_samplers.PixelSampler ''
      fisheye_crop_radius: null
      ignore_mask: false
      is_equirectangular: false
      keep_full_image: false
      max_num_iterations: 100
      num_rays_per_batch: 4096
      rejection_sample_mask: false
    train_num_images_to_sample_from: .inf
    train_num_rays_per_batch: 4096
    train_num_times_to_repeat_images: .inf
  max_num_samples_per_ray: 1024
  model: !!python/object:genie.genie_model.GenieModelConfig
    _target: !!python/name:genie.genie_model.GenieModel ''
    alpha_thre: 0.0
    background_color: black
    collider_params: null
    cone_angle: 0.0
    densify: true
    disable_scene_contraction: true
    enable_collider: false
    eval_num_rays_per_chunk: 1024
    far_plane: 6.0
    grid_levels: 1
    grid_resolution: 128
    knn_algorithm: !!python/object:genie.knnx.knn_algorithms.OptixKNNConfig
      _target: !!python/name:genie.knnx.knn_algorithms.OptixKNN ''
      chi_squared_radius: 2.0
      device: cuda
      n_neighbours: 16
    loss_coefficients:
      rgb_loss_coarse: 1.0
      rgb_loss_fine: 1.0
    max_gb: 28
    near_plane: 2.0
    prompt: null
    prune: true
    render_step_size: 0.003
    unfreeze_means: true
    use_gradient_scaling: true
    visualize_gaussians: false
    visualize_occupancy_grid: false
  target_num_samples: 524288
project_name: nerfstudio-project
prompt: null
pruning_interval: 1000
pruning_start_step: 1000
pruning_stop_step: 14000
relative_model_dir: !!python/object/apply:pathlib.PosixPath
- nerfstudio_models
save_only_latest_checkpoint: true
start_paused: false
steps_per_eval_all_images: 25000
steps_per_eval_batch: 500
steps_per_eval_image: 500
steps_per_save: 100
timestamp: final_black
unfreeze_means_step: 500
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: 4096
  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