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Trying to use tiny-yolo v2 with openvino and ROS. Successfully converted to get the meta and pb files but when I try to run
sudo python3 ./mo_tf.py --input_model /home/burro/yolo/darkflow/built_graph/tiny-yolo.pb --batch 1 --tensorflow_use_custom_operations_config /opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/extensions/front/tf/yolo_v1_v2.json
I get the following errors:
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /home/burro/yolo/darkflow/built_graph/tiny-yolo.pb
- Path for generated IR: /opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/.
- IR output name: tiny-yolo
- Log level: ERROR
- Batch: 1
- 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
TensorFlow specific parameters:
- Input model in text protobuf format: False
- Offload unsupported operations: False
- Path to model dump for TensorBoard: None
- List of shared libraries with TensorFlow custom layers implementation: None
- Update the configuration file with input/output node names: None
- Use configuration file used to generate the model with Object Detection API: None
- Operations to offload: None
- Patterns to offload: None
- Use the config file: /opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/extensions/front/tf/yolo_v1_v2.json
Model Optimizer version: 1.5.12.49d067a0
[ ERROR ]
Detected not satisfied dependencies:
tensorflow: not installed, required: 1.2.0
Please install required versions of components or use install_prerequisites script
I do have tensorflow installed, I can import it with python3. I'm on Ubuntu 16.04 i7-8700T
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