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Merge branch 'dev_cpp' of https://github.com/fateshelled/YOLOX-ROS into dev_cpp
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README.md

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@@ -71,7 +71,7 @@ If you have NVIDIA Graphics, you can run YOLOX-ROS on GPU.
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- CUDA toolkit (11.0)
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- torch+cuda
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### Step3 : Demo
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### Step : Demo
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Connect your web camera.
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yolox_ros_cpp/yolox_cpp/src/yolox_openvino.cpp

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@@ -48,7 +48,7 @@ namespace yolox_cpp{
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output_name_ = network_.getOutputsInfo().begin()->first;
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// output_info->setPrecision(Precision::FP16);
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output_info->setPrecision(Precision::FP16);
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output_info->setPrecision(Precision::FP32);
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// Step 4. Loading a model to the device
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std::cout << "Loading a model to the device: " << device_name_ << std::endl;

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