Create utils.py

utils.py

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+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