singleshotpose:该研究项目实现了一种实时物体检测和姿态估计方法，如Tekin等人所述。 CVPR 2018，“实时无缝单发6D对象姿态预测”。
单糖
这是以下论文的代码开发版本：
Bugra Tekin，Sudipta N.Sinha和Pascal Fua，“实时无缝单发6D对象姿态预测”，CVPR 2018。
可以在以下找到上述文章的代码库的原始存储库。
介绍
我们提出了一种单发方法，可以同时检测RGB图像中的对象并预测其6D姿势，而无需多个阶段或必须检查多个假设。 我们方法的关键部分是受YOLO网络设计启发的新CNN架构，该架构可直接预测对象3D边界框的投影顶点的2D图像位置。 然后使用PnP算法估算对象的6D姿势。 ，
引文
如果您使用此代码，请引用以下内容
@inproceedings {tekin18， TITLE = {{实时无缝单发6D对象姿态预测}}，作者= {Tekin，Bugra和Sinha，Sudipta N.和Fua，Pascal}， BOOKTITLE = {CVPR}， 年= {2018} }
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