utils.py

import cv2
import mediapipe as mp
import numpy as np

mp_face_detection = mp.solutions.face_detection

def extract_features(image_path):
    """Extract face shape, skin tone, and size from an image."""
    image = cv2.imread(image_path)
    image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
    
    # Detect face (simplified example)
    with mp_face_detection.FaceDetection(min_detection_confidence=0.5) as face_detector:
        results = face_detector.process(image_rgb)
        if not results.detections:
            return None, None, None
        
        # Mock logic (replace with actual calculations)
        face_shape = "Oval"    # Use landmarks to classify shape
        skin_tone = "Medium"  # Estimate from cheek region
        face_size = "Medium"  # Measure bounding box
        
    return face_shape, skin_tone, face_size