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cmd.txt
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ο»ΏLaunch CMD with Administrator
cd C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer
python mo.py --input_model C:\Users\openvn\Desktop\model\shanghaia.caffemodel
cd C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\install_prerequisites
cd C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\demo
demo_squeezenet_download_convert_run.sh
### Message 1 - resolved by cmd launched with Administrator
Microsoft Windows [Version 10.0.17763.1935]
(c) 2018 Microsoft Corporation. All rights reserved.
C:\Windows\system32>python mo.py --input_model C:\Users\openvn\Desktop\model\shanghaia.caffemodel
python: can't open file 'mo.py': [Errno 2] No such file or directory
C:\Windows\system32>cd C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer
C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer>python mo.py --input_model C:\Users\openvn\Desktop\model\shanghaia.caffemodel
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\openvn\Desktop\model\shanghaia.caffemodel
- Path for generated IR: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.
- IR output name: shanghaia
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: None
- Reverse input channels: False
Caffe specific parameters:
- Path to Python Caffe* parser generated from caffe.proto: mo\front\caffe\proto
- Enable resnet optimization: True
- Path to the Input prototxt: C:\Users\openvn\Desktop\model\shanghaia.prototxt
- Path to CustomLayersMapping.xml: extensions\front\caffe\CustomLayersMapping.xml
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 2021.2.0-1877-176bdf51370-releases/2021/2
Please expect that Model Optimizer conversion might be slow. You are currently using Python protobuf library implementation.
However you can use the C++ protobuf implementation that is supplied with the OpenVINO toolkitor build protobuf library from sources.
Navigate to "install_prerequisites" folder and run: python -m easy_install protobuf-3.5.1-py($your_python_version)-win-amd64.egg
set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
For more information please refer to Model Optimizer FAQ, question #80. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=80#question-80)
[ SUCCESS ] Generated IR version 10 model.
[ SUCCESS ] XML file: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.\shanghaia.xml
[ SUCCESS ] BIN file: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.\shanghaia.bin
[ SUCCESS ] Total execution time: 64.19 seconds.
It's been a while, check for a new version of Intel(R) Distribution of OpenVINO(TM) toolkit here https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/choose-download.html?cid=other&source=Prod&campid=ww_2021_bu_IOTG&content=upg_pro&medium=organic_uid_agjj or on the GitHub*
C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer>python mo.py --input_model C:\Users\openvn\Desktop\model\shanghaib.caffemodel
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\openvn\Desktop\model\shanghaib.caffemodel
- Path for generated IR: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.
- IR output name: shanghaib
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: None
- Reverse input channels: False
Caffe specific parameters:
- Path to Python Caffe* parser generated from caffe.proto: mo\front\caffe\proto
- Enable resnet optimization: True
- Path to the Input prototxt: C:\Users\openvn\Desktop\model\shanghaib.prototxt
- Path to CustomLayersMapping.xml: extensions\front\caffe\CustomLayersMapping.xml
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 2021.2.0-1877-176bdf51370-releases/2021/2
Please expect that Model Optimizer conversion might be slow. You are currently using Python protobuf library implementation.
However you can use the C++ protobuf implementation that is supplied with the OpenVINO toolkitor build protobuf library from sources.
Navigate to "install_prerequisites" folder and run: python -m easy_install protobuf-3.5.1-py($your_python_version)-win-amd64.egg
set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp
For more information please refer to Model Optimizer FAQ, question #80. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=80#question-80)
[ SUCCESS ] Generated IR version 10 model.
[ SUCCESS ] XML file: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.\shanghaib.xml
[ SUCCESS ] BIN file: C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer\.\shanghaib.bin
[ SUCCESS ] Total execution time: 64.53 seconds.
It's been a while, check for a new version of Intel(R) Distribution of OpenVINO(TM) toolkit here https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/choose-download.html?cid=other&source=Prod&campid=ww_2021_bu_IOTG&content=upg_pro&medium=organic_uid_agjj or on the GitHub*
C:\Program Files (x86)\Intel\openvino_2021.2.185\deployment_tools\model_optimizer>
### Message 2 (error) - resolved by degrade to 2021.2
[ WARNING ] Failed to import Inference Engine Python API in: PYTHONPATH
[ WARNING ] [WinError 2] The system cannot find the file specified: 'C:\\Program Files (x86)\\Intel\\openvino_2021.3.394\\python\\python3.8\\openvino\\libs'
[ WARNING ] Failed to import Inference Engine Python API in: C:\Program Files (x86)\Intel\openvino_2021.3.394\python\python3.8
[ WARNING ] [WinError 2] The system cannot find the file specified: 'C:\\Program Files (x86)\\Intel\\openvino_2021.3.394\\python\\python3.8\\openvino\\libs'
[ WARNING ] Failed to import Inference Engine Python API in: C:\Program Files (x86)\Intel\openvino_2021.3.394\python\python3.8
[ WARNING ] [WinError 2] The system cannot find the file specified: 'C:\\Program Files (x86)\\Intel\\openvino_2021.3.394\\python\\python3.8\\openvino\\libs'
Name: openvino
Version: 2021.3.0
Summary: Inference Engine Python* API
Home-page: https://docs.openvinotoolkit.org/latest/index.html
Author: Intel Corporation
Author-email: openvino_pushbot@intel.com
License: Proprietary - Intel
Location: c:\users\openvn\appdata\local\programs\python\python38\lib\site-packages
Requires: numpy
Required-by:
[ WARNING ] OpenVINO (TM) Toolkit version installed in pip is incompatible with the Model Optimizer
[ WARNING ] For the release Model Optimizer version which is 2021.3 please install OpenVINO (TM) toolkit using pip install openvino==2021.3 or build Inference Engine Python API from sources
*****************************************************************************************
Optional: To speed up model conversion process, install protobuf-*.egg located in the
"model-optimizer\install_prerequisites" folder or building protobuf library from sources.
For more information please refer to Model Optimizer FAQ, question #80.
C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\install_prerequisites>
## Message 3 convert success
C:\WINDOWS\system32>cd C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer
C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer>python mo.py --input_model "C:\Users\Kim&Suzuki\Desktop\open-vn-person-count\model_a.onnx"
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\Kim&Suzuki\Desktop\open-vn-person-count\model_a.onnx
- Path for generated IR: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\.
- IR output name: model_a
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: None
- Reverse input channels: False
ONNX specific parameters:
- Inference Engine found in: C:\Users\Kim&Suzuki\AppData\Local\Programs\Python\Python37\lib\site-packages\openvino
Inference Engine version: 2.1.2021.3.0-2774-d6ebaa2cd8e-refs/pull/4731/head
Model Optimizer version: 2021.3.0-2787-60059f2c755-releases/2021/3
[ WARNING ] Model Optimizer and Inference Engine versions do no match.
[ WARNING ] Consider building the Inference Engine Python API from sources or reinstall OpenVINO (TM) toolkit using "pip install openvino==2021.3"
[ SUCCESS ] Generated IR version 10 model.
[ SUCCESS ] XML file: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\model_a.xml
[ SUCCESS ] BIN file: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\model_a.bin
[ SUCCESS ] Total execution time: 11.18 seconds.
C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer>python mo.py --input_model "C:\Users\Kim&Suzuki\Desktop\open-vn-person-count\model_b.onnx"
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Users\Kim&Suzuki\Desktop\open-vn-person-count\model_b.onnx
- Path for generated IR: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\.
- IR output name: model_b
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: None
- Reverse input channels: False
ONNX specific parameters:
- Inference Engine found in: C:\Users\Kim&Suzuki\AppData\Local\Programs\Python\Python37\lib\site-packages\openvino
Inference Engine version: 2.1.2021.3.0-2774-d6ebaa2cd8e-refs/pull/4731/head
Model Optimizer version: 2021.3.0-2787-60059f2c755-releases/2021/3
[ WARNING ] Model Optimizer and Inference Engine versions do no match.
[ WARNING ] Consider building the Inference Engine Python API from sources or reinstall OpenVINO (TM) toolkit using "pip install openvino==2021.3"
[ SUCCESS ] Generated IR version 10 model.
[ SUCCESS ] XML file: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\model_b.xml
[ SUCCESS ] BIN file: C:\Program Files (x86)\Intel\openvino_2021\deployment_tools\model_optimizer\model_b.bin
[ SUCCESS ] Total execution time: 9.18 seconds.