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Overview

This is the python implementation of OpenVINO models.

The OpenVINO™ toolkit is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance.

Intel OpenVINO

Supported tasks

We support these tasks.

task model
detect_face face-detection-adas-0001
emotion_recognition emotions-recognition-retail-0003
estimate_headpose head-pose-estimation-adas-0001
detect_body person-detection-retail-0013
estimate_humanpose human-pose-estimation-0001
estimate_3d_humanpose human-pose-estimation-3d
detect_segmentation instance-segmentation-seurity-0050

Computed results by models are as below.

supported_models

image

Installation

Use docker

Click HERE for installation instructions using docker.

No use docker

Click HERE for installation instructions.

Notebook samples

Notebook samples are HERE.

Update

v0.0.1 (2019/08/24)

  • Mac, Windows and Ubuntu are supported/

v0.0.2 (2019/01/04)

  • 3d pose estimation, docker supported

v0.0.3 (2020/06/07)

  • OpenVino 2020 R3 LTS version is based

License

This project is released under the Apache 2.0 license.

Reference

OpenCV python demos

OpenCV dnn

MODEL_ZOO

3D pose estimation