本研究以 VICON 三维运动捕捉系统 为金标准，验证基于视频的 OpenPose 姿态估计系统 在反向纵跳（CMJ）动作主成分分析（PCA）中的可行性，为 OpenPose 在运动生物力学领域的推广提供科学依据，以下按前言、研究方法、研究结果、研究讨论、研究结论分部分详细 ...

This repository was created for the only purpose of showing a successful method for installing the CMU Perceptual Computing Lab's OpenPose, commit ...

Abstract: In response to the sluggishness of multi-person pose estimation algorithms, rendering real-time pose estimation unattainable and restricting the output to human keypoints alone, practical ...

OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. We show an inference time ...

Abstract: API recommendation in real-time is challenging for dynamic languages like Python. Many existing API recommendation techniques are highly effective, but they mainly support static languages.

I am already followed the readme file and I'm trying to use openpose python api. I have successfully generated the code by using CMake and the vs2017(release/x64 ...

导读：对于上了床就再也不想下来的人来说，关灯成为睡觉前面临的最大挑战！ 然而，一个来自意大利拉不勒斯的小哥哥，决定利用“舞步”（身体姿势）来控制自己家的灯，整个过程利用一个神经网络实现。 下面是小哥哥写的教程，我们在不改变原意的基础 ...

OpenPose人体姿态识别项目是美国卡耐基梅隆大学（CMU）基于卷积神经网络和监督学习并以caffe为框架开发的开源库。可以实现人体动作、面部表情、手指运动等姿态估计。适用于单人和多人，具有极好的鲁棒性。是世界上首个基于深度学习的实时多人二维姿态估计 ...