[IE Sample Scripts] Change omz tool calls (#7717)
* Change omz tool calls in sample scripts (linux) * Change omz tool calls in sample scripts (windows) * Remove venv creation and /tools/model_optimizer/requirements.txt installation * Remove `open_model_zoo/tools/downloader` from setupvars * Remove `accuracy_checker` from setupvars * Add error if omz tools are not installed * Update scripts/demo/run_sample_benchmark_app.bat Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com> * Add check for all omz tools Co-authored-by: Zlobin Vladimir <vladimir.zlobin@intel.com>
This commit is contained in:
Dmitry Pigasin
GitHub
parent
feb7814a96
commit
e3d5d4520f
@ -6,7 +6,6 @@ setlocal enabledelayedexpansion
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set TARGET=CPU
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set BUILD_FOLDER=%USERPROFILE%\Documents\Intel\OpenVINO
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set VENV_DIR=%USERPROFILE%\Documents\Intel\OpenVINO\venv_openvino
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:: command line arguments parsing
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:input_arguments_loop
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@ -52,6 +51,8 @@ set model_name=squeezenet1.1
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set target_image_path=%ROOT_DIR%car.png
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set omz_tool_error_message=It is required to download and convert a model. Check https://pypi.org/project/openvino-dev/ to install it. Then run the script again.
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if exist "%ROOT_DIR%..\..\setupvars.bat" (
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call "%ROOT_DIR%..\..\setupvars.bat"
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) else (
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@ -90,28 +91,26 @@ if not "%python_ver%"=="okay" (
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goto error
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)
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:: install yaml python modules required for downloader.py
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if exist "%VENV_DIR%" (
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echo.
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echo ###############^|^| Using the existing python virtual environment ^|^|###############
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echo.
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) else (
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echo.
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echo ###############^|^| Creating the python virtual environment ^|^|###############
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echo.
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python -m venv "%VENV_DIR%"
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omz_info_dumper --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_info_dumper was not found. %omz_tool_error_message%
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goto error
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)
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call "%VENV_DIR%\Scripts\activate.bat"
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python -m pip install -U pip
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python -m pip install -r "%ROOT_DIR%..\open_model_zoo\tools\downloader\requirements.in"
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omz_downloader --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_downloader was not found. %omz_tool_error_message%
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goto error
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)
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if ERRORLEVEL 1 GOTO errorHandling
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set downloader_dir=%INTEL_OPENVINO_DIR%\extras\open_model_zoo\tools\downloader
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omz_converter --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_converter was not found. %omz_tool_error_message%
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goto error
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)
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for /F "tokens=* usebackq" %%d in (
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`python "%downloader_dir%\info_dumper.py" --name "%model_name%" ^|
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`omz_info_dumper --name "%model_name%" ^|
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python -c "import sys, json; print(json.load(sys.stdin)[0]['subdirectory'])"`
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) do (
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set model_dir=%%d
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@ -119,9 +118,10 @@ for /F "tokens=* usebackq" %%d in (
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set ir_dir=%irs_path%\%model_dir%\%target_precision%
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echo.
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echo Download public %model_name% model
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echo python "%downloader_dir%\downloader.py" --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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python "%downloader_dir%\downloader.py" --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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echo omz_downloader --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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omz_downloader --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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echo %model_name% model downloading completed
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CALL :delay 7
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@ -134,23 +134,14 @@ if exist "%ir_dir%" (
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GOTO buildSample
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)
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echo.
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echo ###############^|^| Install Model Optimizer prerequisites ^|^|###############
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echo.
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CALL :delay 3
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cd /d "%INTEL_OPENVINO_DIR%\tools\model_optimizer"
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python -m pip install -r requirements.txt
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if ERRORLEVEL 1 GOTO errorHandling
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CALL :delay 7
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echo.
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echo ###############^|^| Run Model Optimizer ^|^|###############
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echo.
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CALL :delay 3
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::set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
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echo python "%downloader_dir%\converter.py" --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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python "%downloader_dir%\converter.py" --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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echo omz_converter --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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omz_converter --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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if ERRORLEVEL 1 GOTO errorHandling
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CALL :delay 7
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@ -6,7 +6,6 @@
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echo -ne "\e[0;33mWARNING: If you get an error when running the sample in the Docker container, you may need to install additional packages. To do this, run the container as root (-u 0) and run install_openvino_dependencies.sh script. If you get a package-independent error, try setting additional parameters using -sample-options.\e[0m\n"
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ROOT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]-$0}" )" && pwd )"
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VENV_DIR="$HOME/venv_openvino"
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. "$ROOT_DIR/utils.sh"
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@ -67,7 +66,8 @@ model_name="squeezenet1.1"
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target_image_path="$ROOT_DIR/car.png"
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run_again="Then run the script again\n\n"
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run_again="Then run the script again.\n\n"
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omz_tool_error_message="It is required to download and convert a model. Check https://pypi.org/project/openvino-dev/ to install it. ${run_again}"
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if [ -e "$ROOT_DIR/../../setupvars.sh" ]; then
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setupvars_path="$ROOT_DIR/../../setupvars.sh"
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@ -111,51 +111,43 @@ if ! command -v $python_binary &>/dev/null; then
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exit 1
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fi
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if [ -e "$VENV_DIR" ]; then
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echo -ne "\n###############|| Using the existing python virtual environment ||###############\n\n"
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else
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echo -ne "\n###############|| Creating the python virtual environment ||###############\n\n"
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"$python_binary" -m venv "$VENV_DIR"
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if ! command -v omz_info_dumper &>/dev/null; then
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echo -ne "\n\nomz_info_dumper was not found. ${omz_tool_error_message}"
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exit 2
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fi
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. "$VENV_DIR/bin/activate"
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python -m pip install -U pip
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python -m pip install -r "$INTEL_OPENVINO_DIR/extras/open_model_zoo/tools/downloader/requirements.in"
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if ! command -v omz_downloader &>/dev/null; then
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echo -ne "\n\nomz_downloader was not found. ${omz_tool_error_message}"
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exit 3
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fi
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if ! command -v omz_converter &>/dev/null; then
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echo -ne "\n\nomz_converter was not found. ${omz_tool_error_message}"
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exit 4
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fi
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# Step 1. Download the Caffe model and the prototxt of the model
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echo -ne "\n###############|| Downloading the Caffe model and the prototxt ||###############\n\n"
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downloader_dir="${INTEL_OPENVINO_DIR}/extras/open_model_zoo/tools/downloader"
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model_dir=$(python "$downloader_dir/info_dumper.py" --name "$model_name" |
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model_dir=$(omz_info_dumper --name "$model_name" |
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python -c 'import sys, json; print(json.load(sys.stdin)[0]["subdirectory"])')
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downloader_path="$downloader_dir/downloader.py"
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print_and_run python "$downloader_path" --name "$model_name" --output_dir "${models_path}" --cache_dir "${models_cache}"
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print_and_run omz_downloader --name "$model_name" --output_dir "${models_path}" --cache_dir "${models_cache}"
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ir_dir="${irs_path}/${model_dir}/${target_precision}"
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if [ ! -e "$ir_dir" ]; then
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# Step 2. Configure Model Optimizer
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echo -ne "\n###############|| Install Model Optimizer dependencies ||###############\n\n"
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cd "${INTEL_OPENVINO_DIR}/tools/model_optimizer"
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python -m pip install -r requirements.txt
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cd "$PWD"
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# Step 3. Convert a model with Model Optimizer
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# Step 2. Convert a model with Model Optimizer
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echo -ne "\n###############|| Convert a model with Model Optimizer ||###############\n\n"
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mo_path="${INTEL_OPENVINO_DIR}/tools/model_optimizer/mo.py"
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export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
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print_and_run python "$downloader_dir/converter.py" --mo "$mo_path" --name "$model_name" -d "$models_path" -o "$irs_path" --precisions "$target_precision"
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print_and_run omz_converter --name "$model_name" -d "$models_path" -o "$irs_path" --precisions "$target_precision"
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else
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echo -ne "\n\nTarget folder ${ir_dir} already exists. Skipping IR generation with Model Optimizer."
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echo -ne "If you want to convert a model again, remove the entire ${ir_dir} folder. ${run_again}"
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fi
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# Step 4. Build samples
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# Step 3. Build samples
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echo -ne "\n###############|| Build Inference Engine samples ||###############\n\n"
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OS_PATH=$(uname -m)
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@ -179,7 +171,7 @@ cmake -DCMAKE_BUILD_TYPE=Release "$samples_path"
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make $NUM_THREADS benchmark_app
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# Step 5. Run samples
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# Step 4. Run samples
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echo -ne "\n###############|| Run Inference Engine benchmark app ||###############\n\n"
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cd "$binaries_dir"
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@ -6,7 +6,6 @@ setlocal enabledelayedexpansion
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set TARGET=CPU
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set BUILD_FOLDER=%USERPROFILE%\Documents\Intel\OpenVINO
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set VENV_DIR=%USERPROFILE%\Documents\Intel\OpenVINO\venv_openvino
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:: command line arguments parsing
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:input_arguments_loop
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@ -48,6 +47,8 @@ set model_name=squeezenet1.1
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set target_image_path=%ROOT_DIR%car.png
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set omz_tool_error_message=It is required to download and convert a model. Check https://pypi.org/project/openvino-dev/ to install it. Then run the script again.
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if exist "%ROOT_DIR%..\..\setupvars.bat" (
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call "%ROOT_DIR%..\..\setupvars.bat"
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) else (
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@ -86,28 +87,26 @@ if not "%python_ver%"=="okay" (
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goto error
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)
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:: install yaml python modules required for downloader.py
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if exist "%VENV_DIR%" (
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echo.
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echo ###############^|^| Using the existing python virtual environment ^|^|###############
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echo.
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) else (
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echo.
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echo ###############^|^| Creating the python virtual environment ^|^|###############
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echo.
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python -m venv "%VENV_DIR%"
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omz_info_dumper --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_info_dumper was not found. %omz_tool_error_message%
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goto error
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)
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call "%VENV_DIR%\Scripts\activate.bat"
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python -m pip install -U pip
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python -m pip install -r "%ROOT_DIR%..\open_model_zoo\tools\downloader\requirements.in"
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omz_downloader --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_downloader was not found. %omz_tool_error_message%
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goto error
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)
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if ERRORLEVEL 1 GOTO errorHandling
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set downloader_dir=%INTEL_OPENVINO_DIR%\extras\open_model_zoo\tools\downloader
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omz_converter --print_all >NUL
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if errorlevel 1 (
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echo Error: omz_converter was not found. %omz_tool_error_message%
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goto error
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)
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for /F "tokens=* usebackq" %%d in (
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`python "%downloader_dir%\info_dumper.py" --name "%model_name%" ^|
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`omz_info_dumper --name "%model_name%" ^|
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python -c "import sys, json; print(json.load(sys.stdin)[0]['subdirectory'])"`
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) do (
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set model_dir=%%d
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@ -115,9 +114,10 @@ for /F "tokens=* usebackq" %%d in (
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set ir_dir=%irs_path%\%model_dir%\%target_precision%
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echo.
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echo Download public %model_name% model
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echo python "%downloader_dir%\downloader.py" --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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python "%downloader_dir%\downloader.py" --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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echo omz_downloader --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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omz_downloader --name "%model_name%" --output_dir "%models_path%" --cache_dir "%models_cache%"
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echo %model_name% model downloading completed
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CALL :delay 7
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@ -130,23 +130,14 @@ if exist "%ir_dir%" (
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GOTO buildSample
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)
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echo.
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echo ###############^|^| Install Model Optimizer prerequisites ^|^|###############
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echo.
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CALL :delay 3
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cd /d "%INTEL_OPENVINO_DIR%\tools\model_optimizer"
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python -m pip install -r requirements.txt
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if ERRORLEVEL 1 GOTO errorHandling
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CALL :delay 7
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echo.
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echo ###############^|^| Run Model Optimizer ^|^|###############
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echo.
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CALL :delay 3
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::set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
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echo python "%downloader_dir%\converter.py" --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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python "%downloader_dir%\converter.py" --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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echo omz_converter --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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omz_converter --mo "%INTEL_OPENVINO_DIR%\tools\model_optimizer\mo.py" --name "%model_name%" -d "%models_path%" -o "%irs_path%" --precisions "%TARGET_PRECISION%"
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if ERRORLEVEL 1 GOTO errorHandling
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CALL :delay 7
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@ -6,7 +6,6 @@
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echo -ne "\e[0;33mWARNING: If you get an error when running the sample in the Docker container, you may need to install additional packages. To do this, run the container as root (-u 0) and run install_openvino_dependencies.sh script. If you get a package-independent error, try setting additional parameters using -sample-options.\e[0m\n"
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ROOT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]-$0}" )" && pwd )"
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VENV_DIR="$HOME/venv_openvino"
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. "$ROOT_DIR/utils.sh"
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@ -63,7 +62,8 @@ model_name="squeezenet1.1"
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target_image_path="$ROOT_DIR/car.png"
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run_again="Then run the script again\n\n"
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run_again="Then run the script again.\n\n"
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omz_tool_error_message="It is required to download and convert a model. Check https://pypi.org/project/openvino-dev/ to install it. ${run_again}"
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if [ -e "$ROOT_DIR/../../setupvars.sh" ]; then
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setupvars_path="$ROOT_DIR/../../setupvars.sh"
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@ -107,51 +107,43 @@ if ! command -v $python_binary &>/dev/null; then
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exit 1
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fi
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if [ -e "$VENV_DIR" ]; then
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echo -ne "\n###############|| Using the existing python virtual environment ||###############\n\n"
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else
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echo -ne "\n###############|| Creating the python virtual environment ||###############\n\n"
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"$python_binary" -m venv "$VENV_DIR"
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if ! command -v omz_info_dumper &>/dev/null; then
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echo -ne "\n\nomz_info_dumper was not found. ${omz_tool_error_message}"
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exit 2
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fi
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. "$VENV_DIR/bin/activate"
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python -m pip install -U pip
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python -m pip install -r "$INTEL_OPENVINO_DIR/extras/open_model_zoo/tools/downloader/requirements.in"
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if ! command -v omz_downloader &>/dev/null; then
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echo -ne "\n\nomz_downloader was not found. ${omz_tool_error_message}"
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exit 3
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fi
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if ! command -v omz_converter &>/dev/null; then
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echo -ne "\n\nomz_converter was not found. ${omz_tool_error_message}"
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exit 4
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fi
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# Step 1. Download the Caffe model and the prototxt of the model
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echo -ne "\n###############|| Downloading the Caffe model and the prototxt ||###############\n\n"
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downloader_dir="${INTEL_OPENVINO_DIR}/extras/open_model_zoo/tools/downloader"
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model_dir=$(python "$downloader_dir/info_dumper.py" --name "$model_name" |
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model_dir=$(omz_info_dumper --name "$model_name" |
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python -c 'import sys, json; print(json.load(sys.stdin)[0]["subdirectory"])')
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downloader_path="$downloader_dir/downloader.py"
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print_and_run python "$downloader_path" --name "$model_name" --output_dir "${models_path}" --cache_dir "${models_cache}"
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print_and_run omz_downloader --name "$model_name" --output_dir "${models_path}" --cache_dir "${models_cache}"
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ir_dir="${irs_path}/${model_dir}/${target_precision}"
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if [ ! -e "$ir_dir" ]; then
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# Step 2. Configure Model Optimizer
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echo -ne "\n###############|| Install Model Optimizer dependencies ||###############\n\n"
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cd "${INTEL_OPENVINO_DIR}/tools/model_optimizer"
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python -m pip install -r requirements.txt
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cd "$PWD"
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# Step 3. Convert a model with Model Optimizer
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# Step 2. Convert a model with Model Optimizer
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echo -ne "\n###############|| Convert a model with Model Optimizer ||###############\n\n"
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mo_path="${INTEL_OPENVINO_DIR}/tools/model_optimizer/mo.py"
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export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
|
||||
print_and_run python "$downloader_dir/converter.py" --mo "$mo_path" --name "$model_name" -d "$models_path" -o "$irs_path" --precisions "$target_precision"
|
||||
print_and_run omz_converter --name "$model_name" -d "$models_path" -o "$irs_path" --precisions "$target_precision"
|
||||
else
|
||||
echo -ne "\n\nTarget folder ${ir_dir} already exists. Skipping IR generation with Model Optimizer."
|
||||
echo -ne "If you want to convert a model again, remove the entire ${ir_dir} folder. ${run_again}"
|
||||
fi
|
||||
|
||||
# Step 4. Build samples
|
||||
# Step 3. Build samples
|
||||
echo -ne "\n###############|| Build Inference Engine samples ||###############\n\n"
|
||||
|
||||
OS_PATH=$(uname -m)
|
||||
@ -175,7 +167,7 @@ cmake -DCMAKE_BUILD_TYPE=Release "$samples_path"
|
||||
|
||||
make $NUM_THREADS classification_sample_async
|
||||
|
||||
# Step 5. Run samples
|
||||
# Step 4. Run sample
|
||||
echo -ne "\n###############|| Run Inference Engine classification sample ||###############\n\n"
|
||||
|
||||
cd "$binaries_dir"
|
||||
|
||||
@ -39,13 +39,6 @@ set PYTHONPATH=%INTEL_OPENVINO_DIR%\tools\model_optimizer;%PYTHONPATH%
|
||||
set "PATH=%INTEL_OPENVINO_DIR%\tools\model_optimizer;%PATH%"
|
||||
)
|
||||
|
||||
|
||||
:: Model Downloader
|
||||
if exist %INTEL_OPENVINO_DIR%\extras\open_model_zoo\tools\downloader (
|
||||
set PYTHONPATH=%INTEL_OPENVINO_DIR%\extras\open_model_zoo\tools\downloader;%PYTHONPATH%
|
||||
set "PATH=%INTEL_OPENVINO_DIR%\extras\open_model_zoo\tools\downloader;%PATH%"
|
||||
)
|
||||
|
||||
:: OpenVINO runtime
|
||||
set "InferenceEngine_DIR=%INTEL_OPENVINO_DIR%\runtime\cmake"
|
||||
set "ngraph_DIR=%INTEL_OPENVINO_DIR%\runtime\cmake"
|
||||
@ -117,10 +110,6 @@ if not "%bitness%"=="64" (
|
||||
|
||||
set PYTHONPATH=%INTEL_OPENVINO_DIR%\python\python%pyversion_major%.%pyversion_minor%;%INTEL_OPENVINO_DIR%\python\python3;%PYTHONPATH%
|
||||
|
||||
if exist %INTEL_OPENVINO_DIR%\tools\accuracy_checker (
|
||||
set PYTHONPATH=%INTEL_OPENVINO_DIR%\tools\accuracy_checker;%PYTHONPATH%
|
||||
)
|
||||
|
||||
if exist %INTEL_OPENVINO_DIR%\tools\post_training_optimization_toolkit (
|
||||
set PYTHONPATH=%INTEL_OPENVINO_DIR%\tools\post_training_optimization_toolkit;%PYTHONPATH%
|
||||
)
|
||||
|
||||
@ -75,17 +75,6 @@ fi
|
||||
export PATH="$INTEL_OPENVINO_DIR/tools/model_optimizer${PATH:+:$PATH}"
|
||||
export PYTHONPATH="$INTEL_OPENVINO_DIR/tools/model_optimizer${PYTHONPATH:+:$PYTHONPATH}"
|
||||
|
||||
|
||||
|
||||
if [ -e "$INTEL_OPENVINO_DIR/extras/open_model_zoo/tools/downloader" ]; then
|
||||
export PYTHONPATH="$INTEL_OPENVINO_DIR/extras/open_model_zoo/tools/downloader:$PYTHONPATH"
|
||||
export PATH="$INTEL_OPENVINO_DIR/extras/open_model_zoo/tools/downloader:$PATH"
|
||||
fi
|
||||
|
||||
if [ -e "$INTEL_OPENVINO_DIR/tools/accuracy_checker" ]; then
|
||||
export PYTHONPATH="$INTEL_OPENVINO_DIR/tools/accuracy_checker:$PYTHONPATH"
|
||||
fi
|
||||
|
||||
if [ -e "$INTEL_OPENVINO_DIR/tools/post_training_optimization_toolkit" ]; then
|
||||
export PYTHONPATH="$INTEL_OPENVINO_DIR/tools/post_training_optimization_toolkit:$PYTHONPATH"
|
||||
fi
|
||||
|
||||
Loading…
Reference in New Issue
Block a user