base.yaml

expname: default

# device_ids: [1, 0] # multiple gpu
device_ids: [0] # single gpu

data:
  white_bkgd: false
  data_dir: null
  #=========
  N_rays: 1024      # numer of sampled rays in training.
  batch_size: null  # null or leave empty for non-batched version, a integer for batch size
  downscale: 1.     # image resolution downscale factor
  #=========
  near: 0.0
  far: 1.0

model:
  framework: NeRF     # options: [NeRF, SirenNeRF]

  # nerf base
  perturb: 1.
  raw_noise_std: 1.
  N_samples: 128      # number of points sampled for each ray, in volume rendering process.
  N_importance: 0
  net_d: 8
  net_w: 256
  net_skips: [4]
  multires: 10
  multires_views: 4
  use_viewdirs: true  # view dependence of NeRF
  sigma_clamp_mode: relu  # [relu, softplus]
  rayschunk: 131072
  val_rayschunk: 32768
  netchunk: 524288

  use_fine_model: false
  net_d_fine:     # will only be used if set use_fine_model to True.
  net_w_fine:     # will only be used if set use_fine_model to True
  net_skips_fine: # will only be used if set use_fine_model to True

  # nerf-minus-minus
  so3_representation: 'axis-angle'    # options: [quaternion, axis-angle, rotation6D]
  intrinsics_representation: 'square' # options: [square, ratio, exp]
  initial_fov: 53.13  # unit: degree

training:
  log_root_dir: "logs"
  w_img: 1.0
  w_perceptual: 0.  # options: 0. for no perceptual model & loss, >0 to enable
  i_save: 900       # unit: seconds
  i_backup: 50000   # unit: itertation steps

  # learning rate anneal
  step_size_nerf: 10      # unit: epochs
  lr_anneal_nerf: 0.9954
  lr_nerf: 1.0e-3

  step_size_param: 100    # unit: epochs
  lr_anneal_param: 0.9
  lr_param: 1.0e-3

  num_epoch: 10000
  num_epoch_pre: 0  # number of epochs run before refinement

  ckpt_file: null # will be read by python as None
  ckpt_ignore_keys: []     # only change if you want to drop certain keys in the saved checkpionts.
  ckpt_only_use_keys: null # only change if you want to only use certain keys in the saved checkpionts.
  no_reload: false

  novel_view_synthesis: false