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Hi, I will convert googlenet-v4.caffemodel to IR, so I run mo.py as
python3 /opt/intel/computer_vision_sdk/deployment_tools/model_optimizer/mo.py --input_model ~/openvino_models/classification/googlenet/v4/caffe/googlenet-v4.caffemodel --scale 256 --mean_values [105,105,105] --output ~/openvino_models/ir/FP32/googlenet-v4
but error message appears,
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /home/shintani/openvino_models/classification/googlenet/v4/caffe/googlenet-v4.caffemodel
- Path for generated IR: /home/shintani/openvino_models/generate_IR/.
- IR output name: googlenet-v4
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: /home/shintani/openvino_models/ir/FP32/googlenet-v4
- Input shapes: Not specified, inherited from the model
- Mean values: [105,105,105]
- Scale values: Not specified
- Scale factor: 256.0
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: False
- Reverse input channels: False
Caffe specific parameters:
- Enable resnet optimization: True
- Path to the Input prototxt: /home/shintani/openvino_models/classification/googlenet/v4/caffe/googlenet-v4.prototxt
- Path to CustomLayersMapping.xml: Default
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 1.5.12.49d067a0
[ ERROR ]
Detected not satisfied dependencies:
protobuf: not installed, required: 3.6.1
Please install required versions of components or use install_prerequisites script
/opt/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/install_prerequisites/install_prerequisites_caffe.sh
Note that install_prerequisites scripts may install additional components.
This is on ubuntu 18.06, and I installed protobuf 3.6.1
$ protoc --version
libprotoc 3.6.1
How can I run this, or avoid this message ?
Best, Eigo
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The suggested `pip install --upgrade protobuf==3.6.1` did not work for me on my fresh Ubuntu 18.04 LTS install.
What worked for me was download the 3.6.1 release tar ball from https://github.com/protocolbuffers/protobuf/releases.
tar -xf protobuf-all-3.6.1.tar.gz cd protobuf-3.6.1 ./configure make make check sudo make install cd ./python python3 setup.py build python3 setup.py test sudo python3 setup.py install
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Hello Eigo. Did you run the install_prerequisites script first as the error indicates ?
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Hi Shubha,
Yes. curiously in the case of squeezenet, it is successful.
$python3 /opt/intel//computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo.py --input_model ~/openvino_models/models/FP32/classification/squeezenet/1.1/caffe/squeezenet1.1.caffemodel --output_dir ~/openvino_models/ir/FP32//classification/squeezenet/1.1/caffe --data_type FP32
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /home/shintani/openvino_models/models/FP32/classification/squeezenet/1.1/caffe/squeezenet1.1.caffemodel
- Path for generated IR: /home/shintani/openvino_models/ir/FP32//classification/squeezenet/1.1/caffe
- IR output name: squeezenet1.1
- 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: False
- Reverse input channels: False
Caffe specific parameters:
- Enable resnet optimization: True
- Path to the Input prototxt: /home/shintani/openvino_models/models/FP32/classification/squeezenet/1.1/caffe/squeezenet1.1.prototxt
- Path to CustomLayersMapping.xml: Default
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 1.5.12.49d067a0
[ WARNING ]
Detected not satisfied dependencies:
protobuf: installed: 3.0.0, required: 3.6.1
Please install required versions of components or use install_prerequisites script
/opt/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/install_prerequisites/install_prerequisites_caffe.sh
Note that install_prerequisites scripts may install additional components.
[ SUCCESS ] Generated IR model.
[ SUCCESS ] XML file: /home/shintani/openvino_models/ir/FP32//classification/squeezenet/1.1/caffe/squeezenet1.1.xml
[ SUCCESS ] BIN file: /home/shintani/openvino_models/ir/FP32//classification/squeezenet/1.1/caffe/squeezenet1.1.bin
[ SUCCESS ] Total execution time: 1.67 seconds.
Best,
Eigo
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OK. This is interesting. Why not then try pip install --upgrade protobuf==3.6.1 ? Agreed you shouldn't have to do this. install_prerequsites.sh should take care of it. But can you try and see what happens ?
Thanks,
Shubha
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Hi Shubha,
Great, it is successful after pip;
$ pip install --upgrade protobuf==3.6.1
Collecting protobuf==3.6.1
Downloading https://files.pythonhosted.org/packages/3a/30/289ead101f94998d88e8961a3548aea29417ae0057be23972483cddebf4f/protobuf-3.6.1-cp37-cp37m-manylinux1_x86_64.whl (1.1MB)
100% |████████████████████████████████| 1.1MB 3.5MB/s
Requirement already satisfied, skipping upgrade: setuptools in /home/shintani/anaconda3/lib/python3.7/site-packages (from protobuf==3.6.1) (40.6.3)
Requirement already satisfied, skipping upgrade: six>=1.9 in /home/shintani/anaconda3/lib/python3.7/site-packages (from protobuf==3.6.1) (1.12.0)
Installing collected packages: protobuf
Successfully installed protobuf-3.6.1
Thanks.
Best,
Eigo
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The suggested `pip install --upgrade protobuf==3.6.1` did not work for me on my fresh Ubuntu 18.04 LTS install.
What worked for me was download the 3.6.1 release tar ball from https://github.com/protocolbuffers/protobuf/releases.
tar -xf protobuf-all-3.6.1.tar.gz cd protobuf-3.6.1 ./configure make make check sudo make install cd ./python python3 setup.py build python3 setup.py test sudo python3 setup.py install
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Hello there!
I do have the a similar issue, It failed squeezenet1.1
[ ERROR ]
Detected not satisfied dependencies:
protobuf: not installed, required 3.6.1
I do have protobuf
ptotoc --version
libprotoc 3.11.1
Do I need to go back on version?
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Hi Virgen, Francisco,
Please try what Saw, Joo did, which is to install protobuf==3.6.1 manually from source. Make sure you uninstall the version you have currently installed prior doing this, let us know if you run into issues.
Regards,
Luis
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Most of the library are installed in roor directory. Please give it a try with sudo.
"""
cd /opt/intel/openvino/deployment_tools/demo
./demo_squeezenet_download_convert_run.sh
"""
Look closely the log text.
![](/skins/images/C4F7392A5C68ACA60290C9576F107044/responsive_peak/images/icon_anonymous_message.png)
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