training:
  learning_rate: 5.0e-5
  batch_size: 8
  num_epochs: 50
  patch_size: 256
  scale_jitter_range: [0.8, 1.2]

model:
  fpn:
    enabled: true
    out_channels: 256
    levels: [2, 3, 4]
    norm: "bn"

matching:
  keypoint_threshold: 0.5
  ransac_reproj_threshold: 5.0
  min_inliers: 15
  pyramid_scales: [0.75, 1.0, 1.5]
  inference_window_size: 1024
  inference_stride: 768
  use_fpn: true
  nms:
    enabled: true
    radius: 4
    score_threshold: 0.5

evaluation:
  iou_threshold: 0.5

logging:
  use_tensorboard: true
  log_dir: "runs"
  experiment_name: "baseline"

paths:
  layout_dir: "path/to/layouts"
  save_dir: "path/to/save"
  val_img_dir: "path/to/val/images"
  val_ann_dir: "path/to/val/annotations"
  template_dir: "path/to/templates"
  model_path: "path/to/save/model_final.pth"