haarcascades & comments regarding image resizing

EVM ohne Buffer/main.py

 
     def video(self):
         cap = cv2.VideoCapture(0)
-
+        print("VideoCapture")
         while   len(self.BUFFER) < self.BUFFER_LEN:
             start_time = time.time()
             ret, frame = cap.read()
+            
             frame = cv2.resize(frame, (500, 500))
+            # why resize if we later call a pyramid?
             self.BUFFER.append(frame)
             stop_time = time.time()
             self.FPS_BUFFER.append(stop_time-start_time)

EVM ohne Buffer/preprocessing.py

             for (x, y, w, h) in face_rects:
                 roi_frame = img[y:y + h, x:x + w]
             if roi_frame.size != img.size:
+                
                 roi_frame = cv2.resize(roi_frame, (500, 500))
+                #duplicate resize
                 frame = np.ndarray(shape=roi_frame.shape, dtype="float")
                 frame[:] = roi_frame * (1. / 255)
                 video_frames.append(frame)