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Trainable models and NN optimization tools
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mahinlma and AlexanderDokuchaev Added output_dir argument in export.py (ssd, lpr, vehicle_attribute) (#…
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* Added --output_dir argument in export.py  for ssd,lpr,vehicle_Attribute

* updated with output_dir argument

* Remove whitespaces
Latest commit 650c253 Jun 24, 2019

README.md

OpenVINO Training Extensions

OpenVINO Training Extensions provide a convenient environment to train Deep Learning models and convert them using OpenVINO™ Toolkit for optimized inference.

Quick Start Guide

Setup OpenVINO Training Extensions

  1. Clone repository in the working directory
cd /<path_to_working_dir>
git clone https://github.com/opencv/openvino_training_extensions.git
  1. Install prerequisites
sudo apt-get install libturbojpeg python3-tk python3-pip virtualenv

Models

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