updates
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -14,6 +14,7 @@ def detect(save_txt=False, save_img=False, stream_img=False):
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# Initialize
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device = torch_utils.select_device(force_cpu=ONNX_EXPORT)
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torch.backends.cudnn.benchmark = False # set True to speed up constant image size inference
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if os.path.exists(out):
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shutil.rmtree(out) # delete output folder
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os.makedirs(out) # make new output folder
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@ -29,7 +30,6 @@ def detect(save_txt=False, save_img=False, stream_img=False):
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# Fuse Conv2d + BatchNorm2d layers
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# model.fuse()
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# torch.backends.cudnn.benchmark = True # set True to speed up constant image size inference
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# Eval mode
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model.to(device).eval()
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