'pixel_sampler' not defined in exporing point clouds with 'vanilla-nerf' and 'splatfacto'

[dberga]

Upon exporting with vanilla-nerf appears this error

Here is the config.yml:

_target: !!python/name:nerfstudio.engine.trainer.Trainer ''
data: &id002 !!python/object/apply:pathlib.PosixPath
- data
- nerfstudio
- kitchen
experiment_name: kitchen
gradient_accumulation_steps: 1
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: vanilla-nerf
mixed_precision: false
optimizers:
  fields:
    optimizer: !!python/object:nerfstudio.engine.optimizers.RAdamOptimizerConfig
      _target: &id001 !!python/name:torch.optim.radam.RAdam ''
      eps: 1.0e-08
      lr: 0.0005
      max_norm: null
      weight_decay: 0
    scheduler: null
  temporal_distortion:
    optimizer: !!python/object:nerfstudio.engine.optimizers.RAdamOptimizerConfig
      _target: *id001
      eps: 1.0e-08
      lr: 0.0005
      max_norm: null
      weight_decay: 0
    scheduler: null
output_dir: !!python/object/apply:pathlib.PosixPath
- outputs
pipeline: !!python/object:nerfstudio.pipelines.base_pipeline.VanillaPipelineConfig
  _target: !!python/name:nerfstudio.pipelines.base_pipeline.VanillaPipeline ''
  datamanager: !!python/object:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManagerConfig
    _target: !!python/name:nerfstudio.data.datamanagers.base_datamanager.VanillaDataManager ''
    camera_optimizer: !!python/object:nerfstudio.cameras.camera_optimizers.CameraOptimizerConfig
      _target: !!python/name:nerfstudio.cameras.camera_optimizers.CameraOptimizer ''
      mode: 'off'
      optimizer: !!python/object:nerfstudio.engine.optimizers.AdamOptimizerConfig
        _target: !!python/name:torch.optim.adam.Adam ''
        eps: 1.0e-15
        lr: 0.0006
        max_norm: null
        weight_decay: 0
      orientation_noise_std: 0.0
      param_group: camera_opt
      position_noise_std: 0.0
      scheduler: !!python/object:nerfstudio.engine.schedulers.ExponentialDecaySchedulerConfig
        _target: !!python/name:nerfstudio.engine.schedulers.ExponentialDecayScheduler ''
        lr_final: null
        lr_pre_warmup: 1.0e-08
        max_steps: 10000
        ramp: cosine
        warmup_steps: 0
    camera_res_scale_factor: 1.0
    collate_fn: !!python/name:nerfstudio.data.utils.nerfstudio_collate.nerfstudio_collate ''
    data: *id002
    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 []
      depth_unit_scale_factor: 0.001
      downscale_factor: null
      orientation_method: up
      scale_factor: 1.0
      scene_scale: 1.0
      train_split_fraction: 0.9
    eval_image_indices: !!python/tuple
    - 0
    eval_num_images_to_sample_from: -1
    eval_num_rays_per_batch: 1024
    eval_num_times_to_repeat_images: -1
    masks_on_gpu: null
    patch_size: 1
    train_num_images_to_sample_from: -1
    train_num_rays_per_batch: 1024
    train_num_times_to_repeat_images: -1
  model: !!python/object:nerfstudio.models.vanilla_nerf.VanillaModelConfig
    _target: !!python/name:nerfstudio.models.vanilla_nerf.NeRFModel ''
    collider_params:
      far_plane: 6.0
      near_plane: 2.0
    enable_collider: true
    enable_temporal_distortion: false
    eval_num_rays_per_chunk: 4096
    loss_coefficients:
      rgb_loss_coarse: 1.0
      rgb_loss_fine: 1.0
    num_coarse_samples: 64
    num_importance_samples: 128
    prompt: null
    temporal_distortion_params:
      kind: !!python/object/apply:nerfstudio.field_components.temporal_distortions.TemporalDistortionKind
      - dnerf
project_name: nerfstudio-project
prompt: null
relative_model_dir: !!python/object/apply:pathlib.PosixPath
- nerfstudio_models
save_only_latest_checkpoint: true
steps_per_eval_all_images: 25000
steps_per_eval_batch: 500
steps_per_eval_image: 500
steps_per_save: 1000
timestamp: 2023-08-01_170222
use_grad_scaler: false
viewer: !!python/object:nerfstudio.configs.base_config.ViewerConfig
  image_format: jpeg
  jpeg_quality: 90
  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

[dberga]

For splatfacto here it crashes

[jb-ye]

not all models support point cloud exports.