From a31b1489a42511ba06f5db4f9b1b3470be0c3290 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Tue, 10 Sep 2019 21:25:01 +0200
Subject: [PATCH] updates

---
 detect.py         | 1 +
 utils/datasets.py | 4 ++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/detect.py b/detect.py
index df79f625..475a2321 100644
--- a/detect.py
+++ b/detect.py
@@ -48,6 +48,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
     # Set Dataloader
     vid_path, vid_writer = None, None
     if streams:
+        stream_img = True
         torch.backends.cudnn.benchmark = True  # set True to speed up constant image size inference
         dataset = LoadStreams(source, img_size=img_size, half=half)
     elif webcam:
diff --git a/utils/datasets.py b/utils/datasets.py
index 85ce9795..0ceae059 100755
--- a/utils/datasets.py
+++ b/utils/datasets.py
@@ -35,7 +35,7 @@ def exif_size(img):
         elif rotation == 8:  # rotation 90
             s = (s[1], s[0])
     except:
-        None
+        pass
 
     return s
 
@@ -190,7 +190,7 @@ class LoadStreams:  # multiple IP or RTSP cameras
         self.img_size = img_size
         self.half = half  # half precision fp16 images
         with open(path, 'r') as f:
-            sources = f.read().splitlines()
+            sources = [x.strip() for x in f.read().splitlines() if len(x.strip())]
 
         n = len(sources)
         self.imgs = [None] * n