convert_script.txt

docker run --gpus all -it --rm \
    -v `pwd`:/workspace/resources \
    -e LOCAL_UID=$(id -u $USER) \
    -e LOCAL_GID=$(id -g $USER) \
    pinto0309/tflite2tensorflow:latest bash

source /opt/intel/openvino_2021/bin/setupvars.sh

cd resources

tflite2tensorflow \
  --model_path lite-model_yamnet_tflite_1.tflite \
  --flatc_path ../flatc \
  --schema_path ../schema.fbs \
  --output_pb True

tflite2tensorflow \
  --model_path lite-model_yamnet_tflite_1.tflite \
  --flatc_path ../flatc \
  --schema_path ../schema.fbs \
  --output_no_quant_float32_tflite True \
  --output_weight_quant_tflite True \
  --output_float16_quant_tflite True \
  --output_tfjs True \
  --output_tftrt True \
  --output_coreml True \
  --output_onnx True \
  --onnx_opset 13
  
 
tflite2tensorflow \
  --model_path model_float32.tflite \
  --flatc_path ../flatc \
  --schema_path ../schema.fbs

mv model_float32.tflite model_float32_org.tflite

../flatc -o . -b ../schema.fbs model_float32.json

tflite2tensorflow \
  --model_path model_float32.tflite \
  --flatc_path ../flatc \
  --schema_path ../schema.fbs \
  --output_pb True
 

python3 ${INTEL_OPENVINO_DIR}/deployment_tools/model_optimizer/mo.py \
--input_model model_float32.onnx \
--output_dir openvino/FP32 \
--data_type FP32

python3 ${INTEL_OPENVINO_DIR}/deployment_tools/model_optimizer/mo.py \
--input_model model_float32.onnx \
--output_dir openvino/FP16 \
--data_type FP16


#${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/lib/intel64/myriad_compile \
#-m openvino/FP16/model_float32.xml \
#-VPU_NUMBER_OF_SHAVES 4 \
#-VPU_NUMBER_OF_CMX_SLICES 4 \
#-o openvino/myriad/model_float32.blob