# 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"
  
models:
  # YOLO model path - can be pretrained (yolov8n.pt) or custom path
  yolo_model: "yolov8n.pt"
  
  # SAM2 model configuration
  sam2_checkpoint: "../checkpoints/sam2.1_hiera_large.pt"
  sam2_config: "configs/sam2.1/sam2.1_hiera_l.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"