MATLAB to OpenVINO (Intel-Inteference)

Version 1.0.0 (1,84 MB) von Kevin Chng
Deploy and optimise your trained model to Intel Processor
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Aktualisiert 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:
https://software.intel.com/en-us/openvino-toolkit

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

Written at 28 January 2018

Zitieren als

Kevin Chng (2024). MATLAB to OpenVINO (Intel-Inteference) (https://www.mathworks.com/matlabcentral/fileexchange/70330-matlab-to-openvino-intel-inteference), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2018b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und MATLAB Answers

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MATLAB_OPENVINO(Upload)

Version Veröffentlicht Versionshinweise
1.0.0