========== Converting patentesv1 to IR (FP16)
Conversion command: /app/venvs/venv2021_4/bin/python -m mo --framework=onnx --data_type=FP16 --output_dir=/tmp/blobconverter/bfcddb9b17ed42a788bd02adc1784b3f/patentesv1/FP16 --model_name=patentesv1 --data_type=FP16 '--mean_values=[127.5,127.5,127.5]' '--scale_values=[255,255,255]' --input_model=/tmp/blobconverter/bfcddb9b17ed42a788bd02adc1784b3f/patentesv1/FP16/patentesv1.onnx
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /tmp/blobconverter/bfcddb9b17ed42a788bd02adc1784b3f/patentesv1/FP16/patentesv1.onnx
- Path for generated IR: /tmp/blobconverter/bfcddb9b17ed42a788bd02adc1784b3f/patentesv1/FP16
- IR output name: patentesv1
- 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: [127.5,127.5,127.5]
- Scale values: [255,255,255]
- Scale factor: Not specified
- Precision of IR: FP16
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: None
- Reverse input channels: False
ONNX specific parameters:
[ WARNING ] Failed to import Inference Engine Python API in: PYTHONPATH
[ WARNING ] libpython3.6m.so.1.0: cannot open shared object file: No such file or directory
[ WARNING ] Failed to import Inference Engine Python API in: /opt/intel/openvino2021_4/python/python3.8
[ WARNING ] libpython3.6m.so.1.0: cannot open shared object file: No such file or directory
[ WARNING ] Could not find the Inference Engine Python API. At this moment, the Inference Engine dependency is not required, but will be required in future releases.
[ WARNING ] Consider building the Inference Engine Python API from sources or try to install OpenVINO (TM) Toolkit using "install_prerequisites.sh"
Model Optimizer version: 2021.4.2-3974-e2a469a3450-releases/2021/4
FAILED:
patentesv1