detector/face.py

from deepface import DeepFace
import os

def verify_faces(img1_path, img2_path, model_name="Facenet", detector_backend="opencv"):
    """
    Compares two face images and returns whether they belong to the same person.
    """
    try:
        if not os.path.exists(img1_path) or not os.path.exists(img2_path):
            raise Exception("Images not found. Please provide valid paths.")
        
        result = DeepFace.verify(
            img1_path, 
            img2_path,
            model_name=model_name,
            detector_backend=detector_backend,
            enforce_detection=True
        )
        
        return {
            "verified": result["verified"],
            "distance": result["distance"],
            "threshold": result["threshold"],
            "model": model_name
        }
        
    except Exception as e:
        return {"error": str(e)}