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

上传者: 42132056 | 上传时间: 2021-04-20 19:30:47 | 文件大小: 58.84MB | 文件类型: ZIP
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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