data:
  class: null
  data_type: psr_full
  input_type: pointcloud
  path: data/shapenet_psr
  num_gt_points: 10000
  num_offset: 7
  pointcloud_n: 3000
  pointcloud_noise: 0.005
model:
  grid_res: 128 # poisson grid resolution
  psr_sigma: 2
  psr_tanh: True
  normal_normalize: False
  predict_normal: True
  predict_offset: True
  c_dim: 32
  s_offset: 0.001
  encoder: local_pool_pointnet
  encoder_kwargs:
    hidden_dim: 32
    plane_type: 'grid'
    grid_resolution: 32
    unet3d: True
    unet3d_kwargs:
      num_levels: 3
      f_maps: 32
      in_channels: 32
      out_channels: 32
  decoder: simple_local
  decoder_kwargs:
    sample_mode: bilinear # bilinear / nearest
    hidden_size: 32
train:
  batch_size: 32
  lr: 5e-4
  out_dir: out/shapenet/noise_005_ours
  w_psr: 1
  model_selection_metric: psr_l2
  print_every: 100
  checkpoint_every: 200
  validate_every: 5000
  backup_every: 10000
  total_epochs: 400000
  visualize_every: 5000
  exp_pcl: True
  exp_mesh: True
  n_workers: 8
  n_workers_val: 0
generation:
  exp_gt: False
  exp_input: True
  psr_resolution: 128
  psr_sigma: 2