configs/hypersim_real_smoke_resume.yaml

seed: 17
device: auto
dataset:
  name: hypersim
  root: data/hypersim_prepared/train
  image_size: [128, 160]
  context_views: 2
  target_views: 1
  length: 5841
  sample_stride: 5
model:
  mode: fixed
  voxel_resolution: 32
  image_feature_dim: 32
  state_feature_dim: 32
  refinement_blocks: 2
  n_samples: 48
  ray_chunk_size: 4096
training:
  output_dir: outputs/hypersim_real_smoke
  batch_size: 1
  learning_rate: 0.0005
  max_steps: 8
  num_workers: 0
  amp: true
  log_every: 1
  checkpoint_every: 2
  measurements: [rgb, depth, normal, point, visibility]
  resume: outputs/hypersim_real_smoke/checkpoints/step_000002.pt