虚拟步行：使用PoseNet在Google街景视图中进行虚拟步行，并应用深度学习模型来识别动作-源码
在Google街景视图中进行虚拟漫步
在， 。
在隔离期间，由于COVID-19大流行，我们目前遇到的情况是，为了共同的福祉，我们减少了在街上自由活动的权利。 人们只能在杂货店等特定情况下外出。 在许多国家，许多边界都是封闭的，旅行被完全禁止。
Virtual Walks是一个使用Pose Estimation模型和LSTM神经网络一起在Google Street View中模拟步行的项目。 对于姿势估计，已修改了模型，而对于动作检测部分，已使用开发了LSTM模型。
该项目能够借助模拟世界各地的街道。
Tensorflow 2.0，Selenium和Python 3.7是该项目中使用的
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