QuickVisionz/.env.example at main · connorodea/QuickVisionz · GitHub

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# Camera
CAMERA_INDEX=0
CAMERA_WIDTH=1280
CAMERA_HEIGHT=720
CAMERA_FPS=30

# YOLO models (relative to project root)
YOLO_DETECT_MODEL=models/yolo11n.pt
YOLO_CLASSIFY_MODEL=models/yolo11n-cls.pt
YOLO_DETECT_CONF=0.5
YOLO_DETECT_IOU=0.45
YOLO_CLASSIFY_CONF=0.6

# Device (cpu for Pi 5, cuda for GPU machines)
DEVICE=cpu

# QuickRefurbz integration
QUICKREFURBZ_API_URL=http://178.156.182.71:3004/api
QUICKREFURBZ_EMAIL=connor@quicklotz.com
QUICKREFURBZ_PASSWORD=
QUICKREFURBZ_DEFAULT_PALLET_ID=P1BBY
QUICKREFURBZ_EMPLOYEE_ID=EMP-001
QUICKREFURBZ_WAREHOUSE_ID=WH-001

# VLM fallback (optional — only needed for barcode/condition fallback)
ANTHROPIC_API_KEY=
OPENAI_API_KEY=
VLM_PROVIDER=anthropic
VLM_MODEL=claude-sonnet-4-5-20250929

# Dashboard
DASHBOARD_HOST=0.0.0.0
DASHBOARD_PORT=8777

# Thermal printer (leave PRINTER_IP empty for auto-discovery on port 9100)
PRINTER_IP=
PRINTER_AUTO_DISCOVER=true
AUTO_PRINT_LABELS=true

# CSV output (leave empty for default: data/ in project root)
CSV_OUTPUT_DIR=

# Pipeline tuning
PROCESS_COOLDOWN_FRAMES=30
MIN_BBOX_AREA=5000