from PIL import Image
import numpy as np

class ThermalService:
    def detect_hotspots(self, image, detection_service, confidence_threshold):
        """Detect overheating in thermal images."""
        # For demo, assume DETR detects 'hotspot' (requires fine-tuning)
        detections = detection_service.detect_objects(image, confidence_threshold)
        # Placeholder: Filter for thermal-specific labels (e.g., 'hotspot')
        thermal_detections = [
            d for d in detections if d["label"] in ["hotspot", "overheating"]
        ]
        return thermal_detections