CV之MobiLenet：基于openpose利用CMU/MobilenetV2算法实现对多人体姿态(2019湖人勒布朗詹姆斯扣篮)实时估计检测

一个处女座的程序猿发布时间：2019-12-16 14:14:32 ，浏览量：0

CV之IPE之MobiLenet：基于openpose利用CMU/MobilenetV2算法实现对多人体姿态估计检测(以勒布朗詹姆斯扣篮姿态为例)案例应用

基于openpose利用CMU/MobilenetV2算法实现对多人体姿态估计检测(以勒布朗詹姆斯扣篮姿态为例)案例应用

输出结果

设计思路

核心代码

基于openpose利用CMU/MobilenetV2算法实现对多人体姿态估计检测(以勒布朗詹姆斯扣篮姿态为例)案例应用输出结果

设计思路

更新……

1、Build c++ library for post processing

2、CMU's model graphs 需要额外下载。

核心代码

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CV之MobiLenet：基于openpose利用CMU/MobilenetV2算法实现对多人体姿态(2019湖人勒布朗詹姆斯扣篮)实时估计检测

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