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This Position reports to:
R&D Unit Lead

intern-透明物体的检测与位姿估计问题研究

课题/项目描述

本课题/项目针对透明物体的检测与位姿估计问题,开展基于深度学习的透明物体分割以及单幅或多幅图像估计透明物体的6D位姿研究。

主要职责

• 调研现有方法,并进行评估
• 数据集建立,采用实验室设备采集数据并标注
• 模型评估及验证
• 现有方法已能初步得到比较好的效果,本项目主要在已有的模型上进行验证、评估与改进

专业及技能要求

• 有实际深度学习实操项目优先,或愿意进行相关探索的优先
• 具有扎实的python的编程能力
• 对机器视觉以及深度学习有深入理解
• 良好的英语读、写能力和沟通能力
• 每周可以保证3-4天到岗工作

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