# YOLO + SAM2 Video Processing Configuration

input:
  video_path: "/path/to/input/video.mp4"
  
output:
  directory: "/path/to/output/"
  filename: "processed_video.mp4"
  
processing:
  # Duration of each video segment in seconds
  segment_duration: 5
  
  # Scale factor for SAM2 inference (0.5 = half resolution)
  inference_scale: 0.5
  
  # YOLO detection confidence threshold
  yolo_confidence: 0.6
  
  # Which segments to run YOLO detection on
  # Options: "all", [0, 5, 10], or [] for default (all)
  detect_segments: "all"
  
  # VR180 separate eye processing mode (default: false for backward compatibility)
  separate_eye_processing: false
  
  # Enable full greenscreen fallback when no humans detected (only used with separate_eye_processing)
  enable_greenscreen_fallback: true
  
  # Pixel overlap between left/right eyes for blending (optional, default: 0)
  eye_overlap_pixels: 0
  
models:
  # YOLO detection mode: "detection" (bounding boxes) or "segmentation" (direct masks)
  yolo_mode: "segmentation"  # Default: existing behavior, Options: "detection", "segmentation"
  
  # YOLO model paths for different modes
  yolo_detection_model: "models/yolo/yolo11l.pt"      # Regular YOLO for detection mode
  yolo_segmentation_model: "models/yolo/yolo11x-seg.pt"  # Segmentation YOLO for segmentation mode
  
  # SAM2 model configuration
  sam2_checkpoint: "models/sam2/checkpoints/sam2.1_hiera_small.pt"
  sam2_config: "models/sam2/configs/sam2.1/sam2.1_hiera_s.yaml"
  
video:
  # Use NVIDIA hardware encoding (requires NVENC-capable GPU)
  use_nvenc: true
  
  # Output video bitrate
  output_bitrate: "50M"
  
  # Preserve original audio track
  preserve_audio: true
  
  # Force keyframes for better segment boundaries
  force_keyframes: true
  
advanced:
  # Green screen color (RGB values)
  green_color: [0, 255, 0]
  
  # Blue screen color for second object (RGB values)  
  blue_color: [255, 0, 0]
  
  # YOLO human class ID (0 for COCO person class)
  human_class_id: 0
  
  # GPU memory management
  cleanup_intermediate_files: true
  
  # Logging level (DEBUG, INFO, WARNING, ERROR)
  log_level: "INFO"

  # Save debug frames with YOLO detections visualized
  save_yolo_debug_frames: true