Trying again|

src/detection/strategies/geometric.py

@@ -31,7 +31,6 @@ class GeometricProcessor(BaseProcessor):
         brightness = np.mean(gray)
         is_low_light = brightness < self.settings['low_light_thresh']
 
-        ptint(f"Lightning: {is_light_low}")
         drowsiness_indicators = {
             "drowsiness_level": "Awake", "lighting": "Good", "details": {}
         }
@@ -84,14 +83,13 @@ class GeometricProcessor(BaseProcessor):
                 levels = self.settings['drowsiness_levels']
                 if score >= levels['very_drowsy_threshold']: drowsiness_indicators['drowsiness_level'] = "Very Drowsy"
                 elif score >= levels['slightly_drowsy_threshold']: drowsiness_indicators['drowsiness_level'] = "Slightly Drowsy"
-
+                
                 drowsiness_indicators['details']['Score'] = score
         else: # is_low_light is True
             drowsiness_indicators["lighting"] = "Low"
         
         # --- Visualization on Video Frame ---
         level = drowsiness_indicators['drowsiness_level']
-        print(level)
         score_val = drowsiness_indicators.get("details", {}).get("Score", 0)
         color = (0, 255, 0) # Green for Awake
         
@@ -105,7 +103,6 @@ class GeometricProcessor(BaseProcessor):
 
         cv2.rectangle(frame, (0, 0), (w, h), color, 10)
         status_text = f"Status: {level} (Score: {score_val:.2f})"
-        print(status_text)
         cv2.putText(frame, status_text, (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 2, cv2.LINE_AA)
 
         return frame, drowsiness_indicators, face_landmarks