{"author_name":"ivanpo","provider_name":"Hatena Blog","version":"1.0","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/i/ivanpo/20201006/20201006145032.png","published":"2020-10-22 13:02:00","type":"rich","blog_title":"\u30a8\u30af\u30b5\u30a6\u30a3\u30b6\u30fc\u30ba Engineer Blog","height":"190","author_url":"https://blog.hatena.ne.jp/ivanpo/","blog_url":"https://techblog.exawizards.com/","url":"https://techblog.exawizards.com/entry/2020/10/22/130200","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Ftechblog.exawizards.com%2Fentry%2F2020%2F10%2F22%2F130200\" title=\"Real-time pose estimation in Android - \u30a8\u30af\u30b5\u30a6\u30a3\u30b6\u30fc\u30ba Engineer Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","title":"Real-time pose estimation in Android","description":"This article is focused on Pose Estimation using TensorFlow Lite. I will guide you through every step from picking an ML model to displaying an output on the screen, with detailed explanations and materials for further reading. We will not dive deep into Machine Learning, however, as our primary goa\u2026","categories":[],"width":"100%"}