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MATLAB to OpenVINO (Intel-Inteference)

version 1.0.0 (1.84 MB) by Kevin Chng
Deploy and optimise your trained model to Intel Processor


Updated 18 Feb 2019

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Overview :

If you train your deep learning network in MATLAB, you may use OpenVINO to accelerate your solutions in Intel®-based accelerators (CPUs, GPUs, FPGAs, and VPUs) . However, this script don't compare OpenVINO and MATLAB's deployment Option (MATLAB Coder, HDL coder), instead, it will only give you the rough idea how to complete it (MATLAB>OpenVINO) in technical perspective.

Refers to the the link below to understand OpenVINO:

Highlights :
Deep Learning and Prediction
How to export deep learning model to ONNX format
How to deploy a simple classification application in OpenvinoR4 (Third-party software)

Product Focus :
Deep Learning Toolbox
Openvino R4 (Third-party Software)

Written at 28 January 2018

Cite As

Kevin Chng (2019). MATLAB to OpenVINO (Intel-Inteference) (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)


when I use "openvino_2019.1.148" version +python3.7+numpy1.16, The previous steps are very good,when this step is reached,Convert the Onnx file to Model Optimizer (onnx to xml and bin file),I get the error " File "", line 28, in <module>
from mo.main import main
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.1.148\deployment_tools\model_optimizer\mo\", line 16, in <module>
import numpy as np
File "D:\anaconda3\lib\site-packages\numpy\", line 140, in <module>
from . import _distributor_initFile "D:\anaconda3\lib\site-packages\numpy\", line 34, in <module>
from . import _mklinit
ImportError: DLL load failed: 找不到指定的模块。"
I google it, can't find answer, My final solution is to lower the numpy version:uninstall numpy ,and re-install numpy version1.14.5 , it works!!!

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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