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PS C:\Windows\system32> C: >> cd C:\"Program Files (x86)"\IntelSWTools\openvino\deployment_tools\demo >> .\demo_squeezenet_download_convert_run.bat ?d MYRIAD target_precision = FP32 Python 3.6.5 ECHO は です。 PYTHONPATH=C:\Program Files (x86)\IntelSWTools\openvino\python\python3.6; [setupvars.bat] OpenVINO environment initialized INTEL_OPENVINO_DIR is set to C:\Program Files (x86)\IntelSWTools\openvino Python 3.6.5 ECHO は です。 Requirement already satisfied: pyyaml in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages Requirement already satisfied: requests in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages Requirement already satisfied: urllib3<1.23,>=1.21.1 in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages (from requests) Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages (from requests) Requirement already satisfied: idna<2.7,>=2.5 in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages (from requests) Requirement already satisfied: certifi>=2017.4.17 in c:\users\(MYNAME)\appdata\roaming\python\python36\site-packages (f rom requests) You are using pip version 9.0.3, however version 19.1.1 is available. You should consider upgrading via the 'python -m pip install --upgrade pip' command. Download public squeezenet1.1 model Models have been loaded previously. Skip loading model step. Model path: C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\models\FP32\classification\squeezenet\1.1\caffe\ squeezenet1.1.prototxt python "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\tools\model_downloader\downloader.py" --name squee zenet1.1 --output_dir C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\models\FP32 --cache_dir C:\Users\0FR11 7012\Documents\Intel\OpenVINO\openvino_models\ir\cache ###############|| Downloading topologies ||############### ========= Retrieving C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\models\FP32\classification\squeezenet\1 .1\caffe\squeezenet1.1.prototxt from the cache ========= Retrieving C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\models\FP32\classification\squeezenet\1 .1\caffe\squeezenet1.1.caffemodel from the cache ###############|| Post processing ||############### ========= Replacing text in C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\models\FP32\classification\squee zenet\1.1\caffe\squeezenet1.1.prototxt ========= squeezenet1.1 model downloading completed 2 秒待っています。続行するには何かキーを押してください ... Target folder C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\ir\FP32\classification\squeezenet\1.1\caffe al ready exists. Skipping IR generation with Model Optimizer. If you want to convert a model again, remove the entire C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\ir\F P32\classification\squeezenet\1.1\caffe folder. 6 秒待っています。続行するには何かキーを押してください ... ###############|| Generate VS solution for Inference Engine samples using cmake ||############### 2 秒待っています。続行するには何かキーを押してください ... Creating Visual Studio 15 2017 x64 files in C:\Users\(MYNAME)\Documents\Intel\OpenVINO\inference_engine_samples_build.. . -- Selecting Windows SDK version 10.0.17134.0 to target Windows 10.0.15063. -- The C compiler identification is MSVC 19.15.26729.0 -- The CXX compiler identification is MSVC 19.15.26729.0 -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.15.26 726/bin/Hostx86/x64/cl.exe -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.15.26 726/bin/Hostx86/x64/cl.exe -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.15. 26726/bin/Hostx86/x64/cl.exe -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Professional/VC/Tools/MSVC/14.15. 26726/bin/Hostx86/x64/cl.exe -- works -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Detecting CXX compile features -- Detecting CXX compile features - done -- Check size of __int32 -- Check size of __int32 - done -- Found InferenceEngine: C:/Program Files (x86)/IntelSWTools/openvino/deployment_tools/inference_engine/lib/intel64/Rel ease/inference_engine.lib (Required is at least version "1.6") -- Performing Test HAVE_CPUID_INFO -- Performing Test HAVE_CPUID_INFO - Success -- Host CPU features: -- 3DNOW not supported -- 3DNOWEXT not supported -- ABM not supported -- ADX not supported -- AES supported -- AVX supported -- AVX2 supported -- AVX512CD not supported -- AVX512F not supported -- AVX512ER not supported -- AVX512PF not supported -- BMI1 supported -- BMI2 supported -- CLFSH supported -- CMPXCHG16B supported -- CX8 supported -- ERMS supported -- F16C supported -- FMA supported -- FSGSBASE supported -- FXSR supported -- HLE not supported -- INVPCID supported -- LAHF supported -- LZCNT supported -- MMX supported -- MMXEXT not supported -- MONITOR supported -- MOVBE supported -- MSR supported -- OSXSAVE supported -- PCLMULQDQ supported -- POPCNT supported -- PREFETCHWT1 not supported -- RDRAND supported -- RDSEED not supported -- RDTSCP supported -- RTM not supported -- SEP supported -- SHA not supported -- SSE supported -- SSE2 supported -- SSE3 supported -- SSE4.1 supported -- SSE4.2 supported -- SSE4a not supported -- SSSE3 supported -- SYSCALL supported -- TBM not supported -- XOP not supported -- XSAVE supported -- TBB include: C:/Program Files (x86)/IntelSWTools/openvino/deployment_tools/inference_engine/external/tbb/include -- TBB Release lib: C:/Program Files (x86)/IntelSWTools/openvino/deployment_tools/inference_engine/lib/intel64/Release/t bb.lib -- TBB Debug lib: C:/Program Files (x86)/IntelSWTools/openvino/deployment_tools/inference_engine/lib/intel64/Debug/tbb_d ebug.lib -- Looking for pthread.h -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: C:/Users/(MYNAME)/Documents/Intel/OpenVINO/inference_engine_samples_build 0 秒待っています。続行するには何かキーを押してください ... ###############|| Build Inference Engine samples using MS Visual Studio (MSBuild.exe) ||############### 0 秒待っています。続行するには何かキーを押してください ... C:\Program Files (x86)\Microsoft Visual Studio\2017\Professional\MSBuild\15.0\Bin\MSBuild.exe" Samples.sln /p:Configurat ion=Release /t:classification_sample /clp:ErrorsOnly /m .NET Framework 向け Microsoft (R) Build Engine バージョン 15.8.168+ga8fba1ebd7 Copyright (C) Microsoft Corporation.All rights reserved. 6 秒待っています。続行するには何かキーを押してください ... ###############|| Run Inference Engine classification sample ||############### 2 秒待っています。続行するには何かキーを押してください ... 1 個のファイルをコピーしました。 classification_sample.exe -i "C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\demo\\car.png" -m "C:\Users\ (MYNAME)\Documents\Intel\OpenVINO\openvino_models\ir\FP32\classification\squeezenet\1.1\caffe\squeezenet1.1.xml" -d CPU [ INFO ] InferenceEngine: API version ............ 1.6 Build .................. 23780 [ INFO ] Parsing input parameters [ INFO ] Files were added: 1 [ INFO ] C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\demo\\car.png [ INFO ] Loading plugin API version ............ 1.6 Build .................. 23780 Description ....... MKLDNNPlugin [ INFO ] Loading network files: C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\ir\FP32\classification\squeezenet\1.1\caffe\squeezen et1.1.xml C:\Users\(MYNAME)\Documents\Intel\OpenVINO\openvino_models\ir\FP32\classification\squeezenet\1.1\caffe\squeezen et1.1.bin [ INFO ] Preparing input blobs [ WARNING ] Image is resized from (787, 259) to (227, 227) [ INFO ] Batch size is 1 [ INFO ] Preparing output blobs [ INFO ] Loading model to the plugin [ INFO ] Starting inference (1 iterations) [ INFO ] Processing output blobs Top 10 results: Image C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\demo\\car.png classid probability label ------- ----------- ----- 817 0.8363345 sports car, sport car 511 0.0946488 convertible 479 0.0419131 car wheel 751 0.0091071 racer, race car, racing car 436 0.0068161 beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon 656 0.0037564 minivan 586 0.0025741 half track 717 0.0016069 pickup, pickup truck 864 0.0012027 tow truck, tow car, wrecker 581 0.0005882 grille, radiator grille total inference time: 4.7400058 Average running time of one iteration: 4.7400058 ms Throughput: 210.9702049 FPS [ INFO ] Execution successful ###############|| Classification demo completed successfully ||############### 0 秒待っています。続行するには何かキーを押してください ... PS C:\Program Files (x86)\IntelSWTools\openvino\deployment_tools\demo>