人体姿态识别 openpose

OpenPose是一个开源的人体姿态识别项目，它是由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。OpenPose可以通过正确连接已检测到的人体关键点，来估计人体的姿态。它能够实现人体动作、面部表情、手指运动等姿态的估计，并且适用于单人和多人的场景，具有很好的鲁棒性。OpenPose是世界上第一个基于深度学习的实时多人二维姿态估计应用，其应用场景广泛，已经被广泛应用在各个领域中。 OpenPose依赖于卷积神经网络和监督学习，具有多人二维姿态识别的优点，能够准确和快速地识别出人体的姿态。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [Python+OpenCV+OpenPose实现人体姿态估计（人体关键点检测）](https://blog.csdn.net/m0_38106923/article/details/89416514)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *3* [基于 Openpose 实现人体动作识别](https://blog.csdn.net/dQCFKyQDXYm3F8rB0/article/details/120299561)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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