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FORTH-ModelBasedTracker/MonocularRGB_2D_Handjoints_MVA19: Accurate Hand Keypoint ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

FORTH-ModelBasedTracker/MonocularRGB_2D_Handjoints_MVA19

开源软件地址(OpenSource Url):

https://github.com/FORTH-ModelBasedTracker/MonocularRGB_2D_Handjoints_MVA19

开源编程语言(OpenSource Language):

Python 100.0%

开源软件介绍(OpenSource Introduction):

Accurate Hand Keypoint Localization on Mobile Devices

overview

Use the pretrained network of the paper "Accurate Hand Keypoints Localization on Mobile Devices" to extract hand joint heatmaps from RGB hand images. The network is light enought (based on a mobilenet2 backend) to work on mobile phones.

Download the paper from here.

supplementary

Requirements

Tested on Python 3.x. Required packages

  • numpy
  • tensorflow

Usage

Clone the repo and run joint_demo.py.




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