config.yaml

defaults:
    - _self_
    - train: v001
    - prep: process

exp:
  tag: ""
  fold: 0
  id: ${module}_${plan}${exp.tag}

train:
  mode: "overwrite" # can be either `overwrite` or `resume`
  val_test: True # run testing on validation data to get final training results

host:
  # DO NOT CHANGE THESE
  parent_data: ${oc.env:det_data}
  parent_results: ${oc.env:det_models}

  # base is the folder where the raw data is stored
  data_dir: ${host.parent_data}/${task}
  prep_dir: ${host.parent_data}/${task}
  network_training_output_dir: ${host.parent_results} # kept for historical reasons

  # create intermediate folder for preprocessing steps
  raw_output_dir: ${host.prep_dir}/raw
  splitted_4d_output_dir: ${host.prep_dir}/raw_splitted
  cropped_output_dir: ${host.prep_dir}/raw_cropped
  # preprocessing_output_dir is where the preprocessed data is stored. If you run a training I very strongly recommend
  # this is a SSD!
  preprocessed_output_dir: ${host.parent_data}/${task}/preprocessed

  # network training
  plan_path: ${host.preprocessed_output_dir}/${plan}.pkl