Deeplab-OpenVINO
1. Model Optimize
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Download Deeplab tf model.
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Converting Deeplab Model to Intermediate Representation (IR)
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Setup enviroment
Use the script bin/setupvars.sh to set the environment variables
source <INSTALL_PATH>/bin/setupvars.sh
Use the mo.py script from the <INSTALL_DIR>/deployment_tools/model_optimizer directory to run the Model Optimizer and convert the model to the Intermediate Representation (IR).
python3 mo.py --input_model <frozen_inference_graph.pb MODEL_PATH> --output ArgMax --input 1:mul_1 --input_shape "(1,513,513,3)" --output_dir <OUTPUT_DIR> -
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: <frozen_inference_graph.pb MODLE_PATH>
- Path for generated IR: <OUTPUT_DIR>
- IR output name: frozen_inference_graph
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: 1:mul_1
- Output layers: ArgMax
- Input shapes: (1,513,513,3)
- 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
- 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: 1.2.185.5335e231
/home/sfy/intel/computer_vision_sdk_2018.3.343/deployment_tools/model_optimizer/mo/front/common/partial_infer/slice.py:90: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
value = value[slice_idx]
[ SUCCESS ] Generated IR model.
[ SUCCESS ] XML file: <OUPUT_DIR>/frozen_inference_graph.xml
[ SUCCESS ] BIN file: <OUPUT_DIR>/frozen_inference_graph.bin
[ SUCCESS ] Total execution time: 8.65 seconds.
References:
Model Optimizer Developer Guide
2. Inferring Deeplab Model with the Inference Engine
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Setup enviroment
Use the script bin/setupvars.sh to set the environment variables
source <INSTALL_PATH>/bin/setupvars.sh -
Build
- mkdir build
- cd build
- cmake ..
- set
PLUGIN_DIRin deeplabv3/main.cpp - make
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run
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cd deeplabv3
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./deeplabv3 --image <IMG_PATH> --m <.xml_PATH> --w <.bin_PATH>
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