File size: 1,376 Bytes
63929b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | dataset:
# Single-dataset mode:
# Set dataset.path and outputs.pred_root.
# Multi-dataset mode:
# Keep dataset.path: null and use dataset.roots + outputs.pred_roots.
path: null
name: null
split_file: /path/to/datasets/splits/dataset_split.csv
split_name: test
session_label: "01"
space: MNI152
roots:
HCP_YA: /path/to/datasets/hcpya-u100/derivatives/sc-preproc
OASIS1: /path/to/datasets/oasis-1/derivatives/sc-preproc
evaluation:
num_classes: 9
exclude_background: true
eps: 1.0e-6
compute_nsd: true
nsd_tolerance_vox: 1.0
nsd_include_background: false
spacing: [1.0, 1.0, 1.0]
outputs:
# Single-dataset prediction root:
pred_root: null
# Multi-dataset prediction roots produced by seg/inference.py.
pred_roots:
HCP_YA: /path/to/datasets/hcpya-u100/derivatives/sc-seg
OASIS1: /path/to/datasets/oasis-1/derivatives/sc-seg
eval_dir: /path/to/simcortex-runs/seg/exp01_hcpya+oasis1/evals
log_dir: ${outputs.eval_dir}/logs
eval_csv: ${outputs.eval_dir}/seg_eval_test.csv
eval_xlsx: ${outputs.eval_dir}/seg_eval_test.xlsx
failed_csv: ${outputs.eval_dir}/seg_eval_test_failed.csv
summary_csv: ${outputs.eval_dir}/seg_eval_test_summary_by_dataset.csv
summary_json: ${outputs.eval_dir}/seg_eval_test_summary.json
hydra:
run:
dir: ${outputs.log_dir}
output_subdir: null
job:
chdir: false
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