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OpenVINO 1.2.0
pts/openvino-1.2.0
- 21 December 2022 -
Update against OpenVINO 2022.3 upstream.
downloads.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.4--> <PhoronixTestSuite> <Downloads> <Package> <URL>http://www.phoronix-test-suite.com/benchmark-files/openvino-2022.3.tar.xz</URL> <MD5>46374f1f4d8e9d5dc4c3b24684f90fa4</MD5> <SHA256>0e4e96c70b0fe37ef48e76dbb55984e14fbe925db9883215c3e0c8860dfcd861</SHA256> <FileName>openvino-2022.3.tar.xz</FileName> <FileSize>142737880</FileSize> </Package> </Downloads> </PhoronixTestSuite>
install.sh
#!/bin/bash mkdir models rm -rf openvino-github tar -xf openvino-2022.3.tar.xz cd openvino-github mkdir build cd build cmake -DCMAKE_BUILD_TYPE=Release -DTREAT_WARNING_AS_ERROR=OFF .. make -j $NUM_CPU_CORES EXIT_STATUS=$? if [ $EXIT_STATUS -ne 0 ]; then echo $EXIT_STATUS > ~/test-exit-status exit 2 fi cd ~/openvino-github/thirdparty/open_model_zoo/tools/model_tools pip3 install --user -r requirements.in python3 downloader.py --name face-detection-0206 -o $HOME/models python3 downloader.py --name age-gender-recognition-retail-0013 -o $HOME/models python3 downloader.py --name person-detection-0106 -o $HOME/models python3 downloader.py --name weld-porosity-detection-0001 -o $HOME/models python3 downloader.py --name vehicle-detection-0202 -o $HOME/models python3 downloader.py --name person-vehicle-bike-detection-2004 -o $HOME/models python3 downloader.py --name machine-translation-nar-en-de-0002 -o $HOME/models echo $? > ~/install-exit-status cd ~ BINDIR=intel64 if [ $OS_ARCH = "aarch64" ] then BINDIR=aarch64 fi echo "#!/bin/bash ./openvino-github/bin/$BINDIR/Release/benchmark_app \$@ > \$LOG_FILE echo \$? > ~/test-exit-status" > openvino chmod +x openvino
results-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.4--> <PhoronixTestSuite> <ResultsParser> <OutputTemplate>[ INFO ] Throughput: #_RESULT_# FPS</OutputTemplate> <ResultScale>FPS</ResultScale> <ResultProportion>HIB</ResultProportion> </ResultsParser> <ResultsParser> <OutputTemplate>[ INFO ] Average: #_RESULT_# ms [ INFO ] Min: #_MIN_RESULT_# ms [ INFO ] Max: #_MAX_RESULT_# ms</OutputTemplate> <ResultScale>ms</ResultScale> <ResultProportion>LIB</ResultProportion> </ResultsParser> </PhoronixTestSuite>
test-definition.xml
<?xml version="1.0"?> <!--Phoronix Test Suite v10.8.4--> <PhoronixTestSuite> <TestInformation> <Title>OpenVINO</Title> <AppVersion>2022.3</AppVersion> <Description>This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models.</Description> <ResultScale>FPS</ResultScale> <Proportion>HIB</Proportion> <TimesToRun>3</TimesToRun> </TestInformation> <TestProfile> <Version>1.2.0</Version> <SupportedPlatforms>Linux</SupportedPlatforms> <SoftwareType>Utility</SoftwareType> <TestType>System</TestType> <License>Free</License> <Status>Verified</Status> <ExternalDependencies>python, build-utilities, cmake</ExternalDependencies> <InstallRequiresInternet>TRUE</InstallRequiresInternet> <EnvironmentSize>3500</EnvironmentSize> <ProjectURL>https://www.openvino.ai/</ProjectURL> <RepositoryURL>https://github.com/openvinotoolkit/openvino</RepositoryURL> <Maintainer>Michael Larabel</Maintainer> <SystemDependencies>usb.h, libusb-1.0/libusb.h, opencv_version, opencv4/opencv2/cvdef.h, python2</SystemDependencies> </TestProfile> <TestSettings> <Option> <DisplayName>Model</DisplayName> <Identifier>model</Identifier> <ArgumentPrefix>-m </ArgumentPrefix> <Menu> <Entry> <Name>Face Detection FP16</Name> <Value>models/intel/face-detection-0206/FP16/face-detection-0206.xml</Value> </Entry> <Entry> <Name>Face Detection FP16-INT8</Name> <Value>models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml</Value> </Entry> <Entry> <Name>Age Gender Recognition Retail 0013 FP16</Name> <Value>models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml</Value> </Entry> <Entry> <Name>Age Gender Recognition Retail 0013 FP16-INT8</Name> <Value>models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml</Value> </Entry> <Entry> <Name>Person Detection FP16</Name> <Value>models/intel/person-detection-0106/FP16/person-detection-0106.xml</Value> </Entry> <Entry> <Name>Person Detection FP32</Name> <Value>models/intel/person-detection-0106/FP32/person-detection-0106.xml</Value> </Entry> <Entry> <Name>Weld Porosity Detection FP16-INT8</Name> <Value>models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml</Value> </Entry> <Entry> <Name>Weld Porosity Detection FP16</Name> <Value>models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml</Value> </Entry> <Entry> <Name>Vehicle Detection FP16-INT8</Name> <Value>models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml</Value> </Entry> <Entry> <Name>Vehicle Detection FP16</Name> <Value>models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml</Value> </Entry> <Entry> <Name>Person Vehicle Bike Detection FP16</Name> <Value>models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml</Value> </Entry> <Entry> <Name>Machine Translation EN To DE FP16</Name> <Value>models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml</Value> </Entry> </Menu> </Option> <Option> <DisplayName>Device</DisplayName> <Identifier>Device</Identifier> <ArgumentPrefix>-d </ArgumentPrefix> <Menu> <Entry> <Name>CPU</Name> <Value>CPU</Value> </Entry> </Menu> </Option> </TestSettings> </PhoronixTestSuite>