diff --git a/examples/facerec_from_webcam_faster.py b/examples/facerec_from_webcam_faster.py
index e4a7bbd47..a22728072 100644
--- a/examples/facerec_from_webcam_faster.py
+++ b/examples/facerec_from_webcam_faster.py
@@ -48,7 +48,8 @@
         small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
 
         # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
-        rgb_small_frame = small_frame[:, :, ::-1]
+        code = cv2.COLOR_BGR2RGB
+        rgb_small_frame = cv2.cvtColor(small_frame, code)
         
         # Find all the faces and face encodings in the current frame of video
         face_locations = face_recognition.face_locations(rgb_small_frame)