https://github.com/hampen2929/pyvino

This is the python implementation of openvino models.
https://github.com/hampen2929/pyvino

human-pose-estimation object-detection object-recognition openvino python

Last synced: 4 months ago
JSON representation

This is the python implementation of openvino models.

• Host: GitHub
• URL: https://github.com/hampen2929/pyvino
• Owner: hampen2929
• License: apache-2.0
• Created: 2019-08-11T15:06:50.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2020-06-06T17:26:55.000Z (about 6 years ago)
• Last Synced: 2025-11-06T07:19:22.876Z (7 months ago)
• Topics: human-pose-estimation, object-detection, object-recognition, openvino, python
• Language: Jupyter Notebook
• Homepage:
• Size: 20.5 MB
• Stars: 58
• Watchers: 2
• Forks: 16
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 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](https://software.intel.com/en-us/openvino-toolkit)

# 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](https://user-images.githubusercontent.com/34574033/63226303-36bc7b80-c213-11e9-8881-74241128e1d3.png)

![image](https://user-images.githubusercontent.com/34574033/71774364-6563a480-2fb0-11ea-8d3b-37399101bc32.png)

# Installation

## Use docker

Click [HERE](https://github.com/hampen2929/pyvino/blob/master/DOCKER.md) for installation instructions using docker.

## No use docker

Click [HERE](https://github.com/hampen2929/pyvino/blob/master/INSTALL.md) for installation instructions.

# Notebook samples

Notebook samples are [HERE](https://github.com/hampen2929/pyvino/tree/master/notebook).

# 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](https://github.com/hampen2929/pyvino/blob/master/LICENSE).

# Reference

[OpenCV python demos](https://github.com/opencv/open_model_zoo/tree/master/demos/python_demos)

[OpenCV dnn](https://github.com/opencv/opencv/tree/master/samples/dnn)

[MODEL_ZOO](https://download.01.org/opencv/2019/open_model_zoo/R2/20190716_170000_models_bin/)

[3D pose estimation](https://github.com/Daniil-Osokin/lightweight-human-pose-estimation.pytorch)