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Create thermal_service.py
Browse files- thermal_service.py +12 -0
thermal_service.py
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from ultralytics import YOLO
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# Load thermal model
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thermal_model = YOLO("thermal_model.pt") # You must upload your model here
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def detect_thermal_anomalies(image_path):
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results = thermal_model(image_path)
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flagged = []
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for r in results:
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if hasattr(r, 'temperature') and r.temperature > 75:
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flagged.append(r)
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return flagged
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