質問編集履歴
5
windowsエラーの詳細
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@@ -11,6 +11,8 @@
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OpenCVのバージョンをpython -m pip install opencv-pythonで更新してみたり，
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vscodeではなく，直接Pythonから実行などを試していたところ
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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．
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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
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FPSは0と表示されています．
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ターミナルの表示はこのようになっています
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```
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Windowsのエラー追加
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@@ -6,8 +6,11 @@
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何か解決方法があれば，教えていただきたいです．
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よろしくお願いいたします．
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追記
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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．
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~~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~~．
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OpenCVのバージョンをpython -m pip install opencv-pythonで更新してみたり，
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12
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vscodeではなく，直接Pythonから実行などを試していたところ
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13
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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．
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ターミナルの表示はこのようになっています
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```
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3
エラーの追加
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@@ -9,6 +9,34 @@
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**追記
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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．**
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ターミナルの表示はこのようになっています
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```
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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')
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Using CUDA device0 _CudaDeviceProperties(name='Xavier', total_memory=15698MB)
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1/1: 0... success (1920x1080 at 30.00 FPS).
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QStandardPaths: wrong ownership on runtime directory /run/user/1000, 1000 instead of 0
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0: 256x416 1 persons, 1 bottles, Done. (0.075s)
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0: 256x416 1 persons, 1 bottles, Done. (0.072s)
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0: 256x416 1 persons, 1 bottles, Done. (0.072s)
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0: 256x416 1 persons, 1 bottles, Done. (0.072s)
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0: 256x416 1 persons, 1 bottles, Done. (0.073s)
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0: 256x416 1 persons, 1 bottles, Done. (0.074s)
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0: 256x416 1 persons, 1 bottles, Done. (0.072s)
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0: 256x416 1 persons, 1 bottles, Done. (0.072s)
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0: 256x416 1 persons, 1 bottles, Done. (0.071s)
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・
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・
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・
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・
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"ここでqを押す”
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Done. (21.684s)
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FATAL: exception not rethrown
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Aborted
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```
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```Python
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class LoadStreams: # multiple IP or RTSP cameras
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def __init__(self, sources='streams.txt', img_size=416, half=False):
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2
追記
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@@ -6,6 +6,9 @@
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6
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何か解決方法があれば，教えていただきたいです．
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よろしくお願いいたします．
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**追記
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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．**
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```Python
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class LoadStreams: # multiple IP or RTSP cameras
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def __init__(self, sources='streams.txt', img_size=416, half=False):
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1
間違ったcodeの変更
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@@ -7,80 +7,69 @@
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よろしくお願いいたします．
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```Python
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class
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class LoadStreams: # multiple IP or RTSP cameras
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def __init__(self,
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def __init__(self, sources='streams.txt', img_size=416, half=False):
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path = str(Path(path)) # os-agnostic
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files = []
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if os.path.isdir(path):
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files = sorted(glob.glob(os.path.join(path, '*.*')))
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self.mode = 'images'
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files = [path]
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images = [x for x in files if os.path.splitext(x)[-1].lower() in img_formats]
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videos = [x for x in files if os.path.splitext(x)[-1].lower() in vid_formats]
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nI, nV = len(images), len(videos)
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self.img_size = img_size
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self.files = images + videos
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self.nF = nI + nV # number of files
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self.video_flag = [False] * nI + [True] * nV
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self.mode = 'images'
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self.half = half # half precision fp16 images
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if
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if os.path.isfile(sources):
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with open(sources, 'r') as f:
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sources = [x.strip() for x in f.read().splitlines() if len(x.strip())]
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else:
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sources = [sources]
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assert self.nF > 0, 'No images or videos found in ' + path
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n = len(sources)
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self.imgs = [None] * n
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self.sources = sources
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for i, s in enumerate(sources):
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# Start the thread to read frames from the video stream
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print('%g/%g: %s... ' % (i + 1, n, s), end='')
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cap = cv2.VideoCapture(0 if s == '0' else s)
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#if s == '0':
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#cap.set(3,1280)
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#cap.set(4,720)
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assert cap.isOpened(), 'Failed to open %s' % s
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w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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fps = cap.get(cv2.CAP_PROP_FPS) % 100
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_, self.imgs[i] = cap.read() # guarantee first frame
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thread = Thread(target=self.update, args=([i, cap]), daemon=True)
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print(' success (%gx%g at %.2f FPS).' % (w, h, fps))
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thread.start()
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print('') # newline
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def update(self, index, cap):
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# Read next stream frame in a daemon thread
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while cap.isOpened():
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_, self.imgs[index] = cap.read()
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time.sleep(0.030) # 33.3 FPS to keep buffer empty
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def __iter__(self):
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self.count =
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self.count = -1
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return self
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def __next__(self):
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self.count += 1
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img0 = self.imgs.copy()
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if cv2.waitKey(1) == ord('q'): # q to quit
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cv2.destroyAllWindows()
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raise StopIteration
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path = self.files[self.count]
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if self.video_flag[self.count]:
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# Letterbox
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self.mode = 'video'
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ret_val, img0 = self.cap.read()
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if not ret_val:
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self.count += 1
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self.cap.release()
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img = [letterbox(x, new_shape=self.img_size)[0] for x in img0]
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raise StopIteration
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else:
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path = self.files[self.count]
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self.new_video(path)
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ret_val, img0 = self.cap.read()
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# Stack
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img = np.stack(img, 0)
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print('video %g/%g (%g/%g) %s: ' % (self.count + 1, self.nF, self.frame, self.nframes, path), end='')
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else:
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# Read image
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self.count += 1
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img0 = cv2.imread(path) # BGR
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assert img0 is not None, 'Image Not Found ' + path
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print('image %g/%g %s: ' % (self.count, self.nF, path), end='')
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# Padded resize
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img, *_ = letterbox(img0, new_shape=self.img_size)
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# Normalize RGB
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img = img[:, :, ::-1].transpose(
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img = img[:, :, :, ::-1].transpose(0, 3, 1, 2) # BGR to RGB
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img = np.ascontiguousarray(img, dtype=np.float16 if self.half else np.float32) # uint8 to fp16/fp32
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img /= 255.0 # 0 - 255 to 0.0 - 1.0
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# cv2.imwrite(path + '.letterbox.jpg', 255 * img.transpose((1, 2, 0))[:, :, ::-1]) # save letterbox image
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return
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return self.sources, img, img0, None
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def
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def __len__(self):
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self.frame = 0
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self.cap = cv2.VideoCapture(path)
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return 0 # 1E12 frames = 32 streams at 30 FPS for 30 years
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def __len__(self):
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return self.nF # number of files
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```
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