diff --git a/utils/datasets.py b/utils/datasets.py
index 941352dd..177fea48 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -124,6 +124,8 @@ class LoadWebcam:  # for inference
         pipe = 0  # local camera
         # pipe = 'rtsp://192.168.1.64/1'  # IP camera
         # pipe = 'rtsp://username:password@192.168.1.64/1'  # IP camera with login
+        pipe = 'rtsp://170.93.143.139/rtplive/470011e600ef003a004ee33696235daa'  # IP traffic camera
+        # pipe = 'http://wmccpinetop.axiscam.net/mjpg/video.mjpg'  # IP golf camera
 
         # https://answers.opencv.org/question/215996/changing-gstreamer-pipeline-to-opencv-in-pythonsolved/
         # pipe = '"rtspsrc location="rtsp://username:password@192.168.1.64/1" latency=10 ! appsink'  # GStreamer
@@ -132,6 +134,7 @@ class LoadWebcam:  # for inference
         # https://stackoverflow.com/questions/54095699/install-gstreamer-support-for-opencv-python-package  # install help
         # pipe = "rtspsrc location=rtsp://root:root@192.168.0.91:554/axis-media/media.amp?videocodec=h264&resolution=3840x2160 protocols=GST_RTSP_LOWER_TRANS_TCP ! rtph264depay ! queue ! vaapih264dec ! videoconvert ! appsink"  # GStreamer
 
+        self.pipe = pipe
         self.cap = cv2.VideoCapture(pipe)  # video capture object
 
     def __iter__(self):
@@ -144,11 +147,23 @@ class LoadWebcam:  # for inference
             cv2.destroyAllWindows()
             raise StopIteration
 
-        # Read image
-        ret_val, img0 = self.cap.read()
+        # Read frame
+        if self.pipe == 0:  # local camera
+            ret_val, img0 = self.cap.read()
+            img0 = cv2.flip(img0, 1)  # flip left-right
+        else:  # IP camera
+            n = 0
+            while True:
+                n += 1
+                self.cap.grab()
+                if n % 30 == 0:  # skip frames
+                    ret_val, img0 = self.cap.retrieve()
+                    if ret_val:
+                        break
+
+        # Print
         assert ret_val, 'Webcam Error'
         img_path = 'webcam_%g.jpg' % self.count
-        img0 = cv2.flip(img0, 1)  # flip left-right
         print('webcam %g: ' % self.count, end='')
 
         # Padded resize