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config.yaml

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+# ContourSight - Configuración por Defecto
+# =========================================
+# Precise Mosaic Detector (PMD) Configuration
+
+# Configuración del Modelo
+model:
+  type: "unet"              # Opciones: unet, unet_tiny, yolo
+  in_channels: 3
+  out_channels: 1
+  base_features: 64
+  use_attention: true       # Atención para mejor precisión de contornos
+  
+  # Configuración específica de YOLOv8 (si type = yolo)
+  yolo:
+    model_size: "n"         # n, s, m, l, x
+    pretrained: true
+
+# Configuración de Entrenamiento
+training:
+  epochs: 100
+  batch_size: 8
+  learning_rate: 0.0001
+  weight_decay: 0.0001
+  
+  # Mixed Precision Training (FP16)
+  use_amp: true
+  
+  # Gradient Clipping
+  gradient_clip: 1.0
+  
+  # Learning Rate Scheduler
+  scheduler:
+    type: "cosine"          # Opciones: cosine, step, plateau
+    warmup_epochs: 5
+    min_lr: 0.000001
+  
+  # Early Stopping
+  early_stopping:
+    enabled: true
+    patience: 15
+    min_delta: 0.0001
+
+# Configuración de Pérdidas
+loss:
+  type: "combined"          # Opciones: dice, iou, boundary, focal, combined
+  
+  # Pesos para CombinedLoss
+  weights:
+    dice: 1.0
+    iou: 1.0
+    boundary: 2.0           # Mayor peso para precisión de contornos (λ)
+    focal: 0.5
+  
+  # Parámetros específicos
+  boundary:
+    theta0: 3.0
+    theta: 5.0
+    use_distance_transform: true
+
+# Configuración de Datos
+data:
+  image_size: [512, 512]
+  train_split: 0.8
+  val_split: 0.1
+  test_split: 0.1
+  
+  # Rutas (relativas al directorio raíz del proyecto)
+  train_images: "data/train/images"
+  train_masks: "data/train/masks"
+  val_images: "data/val/images"
+  val_masks: "data/val/masks"
+  
+  # Augmentations
+  augmentation:
+    enabled: true
+    horizontal_flip: 0.5
+    vertical_flip: 0.3
+    rotation: 0.3
+    brightness_contrast: 0.3
+    elastic_transform: 0.2
+
+# Configuración del DataLoader
+dataloader:
+  num_workers: 4
+  pin_memory: true
+  prefetch_factor: 2
+
+# Logging y Checkpoints
+logging:
+  checkpoint_dir: "models/checkpoints"
+  tensorboard_dir: "runs"
+  log_every: 10
+  save_every_epoch: 5
+  wandb:
+    enabled: false
+    project: "contoursight"
+    entity: null
+
+# Métricas objetivo
+targets:
+  contour_accuracy: 98.0    # Objetivo principal: >98%
+  iou: 0.95
+  dice: 0.97
+  boundary_iou: 0.90