【推荐】(TensorFlow)SSD实时手部检测与追踪（附代码）

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摘要

 

转自：爱可可-爱生活

This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the Oxford Hands Dataset (the results were not good). I then tried the Egohands Dataset which was a much better fit to my requirements.

The goal of this repo/post is to demonstrate how neural networks can be applied to the (hard) problem of tracking hands (egocentric and other views). Better still, provide code that can be adapted to other uses cases.

Content of this document

• Motivation - Why Track/Detect hands with Neural Networks

• Data preparation and network training in Tensorflow (Dataset, Import, Training)

• Training the hand detection Model

• Using the Detector to Detect/Track hands

• Thoughts on Optimizations

  
  

链接：

https://pan.baidu.com/s/1qYJrulI

代码链接：

https://github.com/victordibia/handtracking

原文链接：

https://m.weibo.cn/1402400261/4181111401914697

“完整内容”请点击【阅读原文】

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