# SimCortex segmentation inference config

dataset:
  # Single-dataset mode:
  #   set path to one preprocessed derivative root and keep roots null/empty.
  # Multi-dataset mode:
  #   keep path null and define roots below.
  path: null

  split_file: /path/to/datasets/splits/dataset_split.csv

  # Use "all" to create inputs for downstream InitSurf and deformation stages.
  # Use "test" only for a test-only inference run.
  split_name: all

  session_label: "01"
  space: "MNI152"
  pad_mult: 16

  roots:
    HCP_YA: /path/to/datasets/hcpya-u100/derivatives/sc-preproc
    OASIS1: /path/to/datasets/oasis-1/derivatives/sc-preproc

model:
  in_channels: 1
  out_channels: 9
  features: [16, 32, 64, 128, 128]
  norm: instance
  dropout: 0.10

  ckpt_path: /path/to/seg_best_dice.pt

trainer:
  device: cuda:0
  batch_size: 1
  num_workers: 2
  amp: true

outputs:
  # Single-dataset mode:
  out_root: null

  # Multi-dataset mode:
  out_roots:
    HCP_YA: /path/to/datasets/hcpya-u100/derivatives/sc-seg
    OASIS1: /path/to/datasets/oasis-1/derivatives/sc-seg

  log_dir: /path/to/simcortex-runs/seg/logs_infer

  overwrite: false
  overwrite_dataset_description: false
  tensorboard: true

hydra:
  run:
    dir: ${outputs.log_dir}
  output_subdir: null
  job:
    chdir: false