"fatal exception not rethrown"というエラーが出てしまう．

YOLOv3-github
上記のgithubから持ってきたYOLOv3のwebcamera版をUbuntuで実行したところ，
qを押して終了すると，"fatal exception not rethrown"というエラーが出て，abortedしてしまいます．

おそらく下記の，utilのdatasets.pyのThreadに問題があると思うのですが，調べてみても理解できませんでした．
何か解決方法があれば，教えていただきたいです．
よろしくお願いいたします．

追記
~~Windowsのvscodeで実行したところこのエラーは起きませんでした~~．
OpenCVのバージョンをpython -m pip install opencv-pythonで更新してみたり，
vscodeではなく，直接Pythonから実行などを試していたところ
vscodeでqを押して終了すると,そこでプログラムが終了せずに止まってしまうようになりました．
そして，このような状態になってしまってからは"1/1: 0... success (1920x1080 at 30.00 FPS)."の
FPSは0と表示されています．

ターミナルの表示はこのようになっています

Namespace(cfg='cfg/yolov3.cfg', conf_thres=0.3, data='data/coco.data', device='', fourcc='mp4v', half=False, img_size=416, nms_thres=0.5, output='output', source='0', view_img=False, weights='weights/yolov3.weights')
Using CUDA device0 _CudaDeviceProperties(name='Xavier', total_memory=15698MB)

1/1: 0...  success (1920x1080 at 30.00 FPS).

 
QStandardPaths: wrong ownership on runtime directory /run/user/1000, 1000 instead of 0
0: 256x416 1 persons, 1 bottles, Done. (0.075s)
0: 256x416 1 persons, 1 bottles, Done. (0.072s)
0: 256x416 1 persons, 1 bottles, Done. (0.072s)
0: 256x416 1 persons, 1 bottles, Done. (0.072s)
0: 256x416 1 persons, 1 bottles, Done. (0.073s)
0: 256x416 1 persons, 1 bottles, Done. (0.074s)
0: 256x416 1 persons, 1 bottles, Done. (0.072s)
0: 256x416 1 persons, 1 bottles, Done. (0.072s)
0: 256x416 1 persons, 1 bottles, Done. (0.071s)
・
・
・
・
"ここでqを押す”
Done. (21.684s)
FATAL: exception not rethrown
Aborted

Python
1class LoadStreams:  # multiple IP or RTSP cameras
2    def __init__(self, sources='streams.txt', img_size=416, half=False):
3        self.mode = 'images'
4        self.img_size = img_size
5        self.half = half  # half precision fp16 images
6
7        if os.path.isfile(sources):
8            with open(sources, 'r') as f:
9                sources = [x.strip() for x in f.read().splitlines() if len(x.strip())]
10        else:
11            sources = [sources]
12
13        n = len(sources)
14        self.imgs = [None] * n
15        self.sources = sources
16        for i, s in enumerate(sources):
17            # Start the thread to read frames from the video stream
18            print('%g/%g: %s... ' % (i + 1, n, s), end='')
19            cap = cv2.VideoCapture(0 if s == '0' else s)
20            #if s == '0':
21                #cap.set(3,1280)
22                #cap.set(4,720)
23            assert cap.isOpened(), 'Failed to open %s' % s
24            w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
25            h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
26            fps = cap.get(cv2.CAP_PROP_FPS) % 100
27            _, self.imgs[i] = cap.read()  # guarantee first frame
28            thread = Thread(target=self.update, args=([i, cap]), daemon=True)
29            print(' success (%gx%g at %.2f FPS).' % (w, h, fps))
30            thread.start()
31        print('')  # newline
32
33    def update(self, index, cap):
34        # Read next stream frame in a daemon thread
35        while cap.isOpened():
36            _, self.imgs[index] = cap.read()
37        time.sleep(0.030)  # 33.3 FPS to keep buffer empty
38
39    def __iter__(self):
40        self.count = -1
41        return self
42
43    def __next__(self):
44        self.count += 1
45        img0 = self.imgs.copy()
46        if cv2.waitKey(1) == ord('q'):  # q to quit
47            cv2.destroyAllWindows()
48            raise StopIteration
49
50        # Letterbox
51        img = [letterbox(x, new_shape=self.img_size)[0] for x in img0]
52
53        # Stack
54        img = np.stack(img, 0)
55
56        # Normalize RGB
57        img = img[:, :, :, ::-1].transpose(0, 3, 1, 2)  # BGR to RGB
58        img = np.ascontiguousarray(img, dtype=np.float16 if self.half else np.float32)  # uint8 to fp16/fp32
59        img /= 255.0  # 0 - 255 to 0.0 - 1.0
60
61        return self.sources, img, img0, None
62
63    def __len__(self):
64        return 0  # 1E12 frames = 32 streams at 30 FPS for 30 years
65