I am trying to convert posenet model (of MobileNetV1 architecture) using OpenVINO model optimizer. But it is throwing an error as below.
I am using the following command to convert.
python3 mo_tf.py --input_model /vino/models/posenet/_models/model-mobilenet_v1_101.pb --input_meta_graph /vino/models/posenet/_models/checkpoints/model-mobilenet_v1_101.ckpt.meta --output_dir /vino/models/posenet/
Error I am receiving is:
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: /vino/models/posenet/_models/model-mobilenet_v1_101.pb
- Path for generated IR: /vino/models/posenet/
- IR output name: model-mobilenet_v1_101
- 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
TensorFlow specific parameters:
- Input model in text protobuf format: 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: None
Model Optimizer version: 2019.1.0-341-gc9b66a2
[ ERROR ] Unknown configuration of input model parameters
I am suspecting that, I am using the wrong command altogher but couldn't figure it out even after going through its documentation. Any leads on what I am doing wrong would be really helpful.
