config.yaml

# ROCm Face Tracker Configuration
# Copy this to config.yaml and adjust for your setup

camera:
  # Input camera device (check with: v4l2-ctl --list-devices)
  input_device: "/dev/video0"
  # Cam Link 4K supports up to 4K@30 or 1080p@60
  input_resolution: [1920, 1080]
  fps: 30

output:
  # Virtual camera device (v4l2loopback)
  device: "/dev/video10"
  # Output to OBS
  resolution: [1920, 1080]

tracking:
  # Position smoothing: 0.1 (smooth) to 0.3 (responsive)
  smoothing: 0.15
  
  # Minimum movement (pixels) before tracking updates
  deadzone: 20
  
  # Zoom level: 1.0 = no zoom, 2.0 = half frame, etc.
  zoom_level: 2.5
  
  # Run detection every N frames (higher = less CPU/GPU, more latency)
  detection_interval: 1
  
  # Frames without face before zooming out to full frame
  no_face_timeout: 30
  
  # Adaptive zoom: auto-adjust zoom based on face size
  adaptive_zoom: false
  
  # Velocity prediction: reduce lag during fast movement
  velocity_prediction: false

model:
  # YOLO-Face model weights
  # Options: models/model.pt (fast), yolov11s-face.pt (balanced), yolov11m-face.pt (accurate)
  weights: "models/model.pt"
  
  # Minimum detection confidence (0.0-1.0)
  confidence: 0.5

rocm:
  # Device for inference: "cuda" for GPU, "cpu" for CPU fallback
  device: "cuda"
  
  # These should also be set as environment variables:
  # HSA_OVERRIDE_GFX_VERSION=10.3.0
  # PYTORCH_ROCM_ARCH=gfx1030
  # PYTORCH_HIP_ALLOC_CONF=expandable_segments:True

debug:
  # Show FPS and stats in console
  show_stats: true