# openvino_training_extensions2

**Repository Path**: DeepFall/openvino_training_extensions2

## Basic Information

- **Project Name**: openvino_training_extensions2
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: develop
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-06-05
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# OpenVINO Training Extensions

OpenVINO Training Extensions provide a convenient environment to train
Deep Learning models and convert them using [OpenVINO™
Toolkit](https://software.intel.com/en-us/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
  ```

2. Install prerequisites

  ```
  sudo apt-get install libturbojpeg python3-tk python3-pip virtualenv
  ```


# Models

* [PyTorch](pytorch_toolkit)

  * [Action recognition](pytorch_toolkit/action_recognition)
  * [Face recognition](pytorch_toolkit/face_recognition)
  * [Human pose estimation](pytorch_toolkit/human_pose_estimation)
  * [Instance segmentation](pytorch_toolkit/instance_segmentation)
  * [Super resolution](pytorch_toolkit/super_resolution)

* [TensorFlow](tensorflow_toolkit)

  * [License Plate Recognition](tensorflow_toolkit/lpr)
  * [Person Vehicle Bike Detector](tensorflow_toolkit/person_vehicle_bike_detector)
  * [SSD Object Detection](tensorflow_toolkit/ssd_detector)
  * [Vehicle Attributes](tensorflow_toolkit/vehicle_attributes)