updates
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -54,14 +54,6 @@ def detect(save_txt=False, save_img=True, stream_img=False):
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else:
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else:
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dataloader = LoadImages(opt.source, img_size=img_size, half=opt.half)
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dataloader = LoadImages(opt.source, img_size=img_size, half=opt.half)
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# Attempt stream_img:
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if stream_img:
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try:
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cv2.imshow('', np.zeros((480, 640, 3)))
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cv2.destroyAllWindows()
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except:
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stream_img = False # Possible SSH connection, do not stream
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# Get classes and colors
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# Get classes and colors
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classes = load_classes(parse_data_cfg(opt.data)['names'])
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classes = load_classes(parse_data_cfg(opt.data)['names'])
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colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(classes))]
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colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(classes))]
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@ -3,7 +3,7 @@
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# New VM
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# New VM
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rm -rf sample_data yolov3 darknet apex coco cocoapi knife knifec
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rm -rf sample_data yolov3 darknet apex coco cocoapi knife knifec
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git clone https://github.com/ultralytics/yolov3
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git clone https://github.com/ultralytics/yolov3
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# git clone https://github.com/AlexeyAB/darknet && cd darknet && make GPU=1 CUDNN=1 CUDNN_HALF=1 OPENCV=1 && wget -c https://pjreddie.com/media/files/darknet53.conv.74 && cd ..
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# git clone https://github.com/AlexeyAB/darknet && cd darknet && make GPU=1 CUDNN=1 CUDNN_HALF=1 OPENCV=0 && wget -c https://pjreddie.com/media/files/darknet53.conv.74 && cd ..
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git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex
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git clone https://github.com/NVIDIA/apex && cd apex && pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" . --user && cd .. && rm -rf apex
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# git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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# git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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sudo conda install -y -c conda-forge scikit-image tensorboard pycocotools
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sudo conda install -y -c conda-forge scikit-image tensorboard pycocotools
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