Create thermal_service.py

services/thermal_service.py

@@ -0,0 +1,13 @@
+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