# Frigate-Mini Configuration - CPU Only (ONNX)
# 
# This configuration uses ONNX Runtime for CPU-only inference.
# No special hardware required - works on any x86 or ARM system.
#
# Usage:
#   python scripts/frigate_mini.py --config configs/frigate_mini_cpu.yaml

# Global settings
debug: true                           # Enable debug mode
log_level: "info"                     # debug, info, warning, error

# Detector configuration - ONNX CPU Mode
detector:
  type: "pt"                        # Use PYTORCH Runtime (CPU)
  model_path: "models/krg_masuk_yolov9t_best.pt"   # PT model file
  input_size: [640, 640]              # Model input resolution [width, height]
  conf_threshold: 0.25                # Detection confidence threshold
  nms_threshold: 0.45                 # NMS IoU threshold
  
  # ONNX specific settings
  onnx:
    device: "cpu"                     # cpu or cuda
    num_threads: 0                    # CPU threads (0 = auto, uses all cores)
    optimization_level: "all"         # none, basic, extended, all
  
  # No fallback needed for ONNX (it's already the most compatible)
  fallback:
    enabled: false

# Video sources (cameras)
cameras:
  default:
    enabled: true
    source: "input/video.mp4"         # MP4 file path
    fps: 5                            # Processing FPS (adjust based on CPU speed)
    loop: true                        # Loop video playback
    
    detect:
      enabled: true
      width: 1280                     # Processing resolution
      height: 720
      
    objects:
      track:
        - person
        - car
        - dog
        - cat
      filters:
        person:
          min_area: 1000
          min_score: 0.4
        car:
          min_area: 2000
          min_score: 0.35

# Snapshot settings
snapshots:
  enabled: true
  output_dir: "output/snapshots"
  
  trigger:
    objects:
      - person
      - car
    min_score: 0.5
    cooldown: 2.0
    
  format: "jpg"
  quality: 95
  clean: true                         # No annotations on snapshot

# Annotation export
annotations:
  enabled: true
  output_dir: "output/labels"
  format: "yolo"
  pair_with_snapshots: true
  min_score: 0.3

# Debug output
debug_output:
  enabled: true
  output_dir: "output/debug"
  
  object_list:
    enabled: true
    show_confidence: true
    show_class: true
    show_bbox: true
    
  visualization:
    enabled: true
    draw_boxes: true
    draw_labels: true
    save_interval: 10                 # Save every 10 frames
    
  stats:
    show_fps: true
    log_interval: 100

# Class names (COCO)
class_names:
  0: karung