updates
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@ -10,7 +10,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
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img_size = (320, 192) if ONNX_EXPORT else opt.img_size # (320, 192) or (416, 256) or (608, 352) for (height, width)
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out, source, weights, half = opt.output, opt.source, opt.weights, opt.half
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webcam = source == '0' or source.startswith('rtsp') or source.startswith('http')
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streams = source.endswith('streams.txt')
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streams = 'streams' in source and source.endswith('.txt')
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# Initialize
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device = torch_utils.select_device(force_cpu=ONNX_EXPORT)
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@ -47,7 +47,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
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# Set Dataloader
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vid_path, vid_writer = None, None
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if streams:
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stream_img = True
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stream_img = False
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torch.backends.cudnn.benchmark = True # set True to speed up constant image size inference
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dataset = LoadStreams(source, img_size=img_size, half=half)
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elif webcam:
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