Openvino中设置模型加载路径的环境变量

最新推荐文章于 2025-05-13 19:54:35 发布

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最新推荐文章于 2025-05-13 19:54:35 发布

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CC 4.0 BY-SA版权

分类专栏： OpenVino 文章标签： OpenVino

本文链接：https://blog.youkuaiyun.com/sinat_38354963/article/details/94393149

本文介绍了如何在OpenVino中设置模型加载的环境变量，通过编写sh脚本并在.bashrc文件中添加相关指令，确保模型路径正确被系统识别。

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直接上代码：

# Create variables for all models used by the tutorials to make 
#  it easier to reference them with short names

# check for variable set by setupvars.sh in the SDK, need it to find models
: ${InferenceEngine_DIR:?"Must source the setupvars.sh in the SDK to set InferenceEngine_DIR"}

# 4 = 2018 R4
# 5 = 2018 R5
# 6 = 2019 R1

if (echo $INTEL_CVSDK_DIR | grep -q "\.5\."); then
        export INTEL_CVSDK_VER=5
else if (echo $INTEL_CVSDK_DIR | grep -q "openvino"); then
	export INTEL_CVSDK_VER=6
else
        export INTEL_CVSDK_VER=4
fi
fi

if [ $INTEL_CVSDK_VER -ne "6" ]; then
modelDir=$InferenceEngine_DIR/../../intel_models

# Vehicle and License Plates Detection Model
modName=vehicle-license-plate-detection-barrier-0106
export mVLP16=$modelDir/$modName/FP16/$modName.xml
export mVLP32=$modelDir/$modName/FP32/$modName.xml

# Vehicle-only Detection Model used with the batch size exercise
modName=vehicle-detection-adas-0002
export mVDR16=$modelDir/$modName/FP16/$modName.xml
export mVDR32=$modelDir/$modName/FP32/$modName.xml

# Vehicle Attributes Detection Model
modName=vehicle-attributes-recognition-barrier-0039
export mVA16=$modelDir/$modName/FP16/$modName.xml
export mVA32=$modelDir/$modName/FP32/$modName.xml

modName=person-vehicle-bike-detection-crossroad-0078
export vehicle216=$modelDir/$modName/FP16/$modName.xml
export vehicle232=$modelDir/$modName/FP32/$modName.xml

modName=pedestrian-and-vehicle-detector-adas-0001
export pv16=$modelDir/$modName/FP16/$modName.xml
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