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Pyvino

This is the python implementation of openvino models.

Install / Use

/learn @hampen2929/Pyvino
About this skill

Quality Score

0/100

Supported Platforms

Universal

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

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

View on GitHub
GitHub Stars58
CategoryDevelopment
Updated1y ago
Forks16

Languages

Jupyter Notebook

Security Score

85/100

Audited on Aug 26, 2024

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