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graduation-project

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跑鸭:这是我的毕业设计,“跑鸭”微信小程序-一款基于校园跑步的社交小程序(实时里程配速、运动路径、整公里提醒、周榜月榜、打卡分享、热门推荐、线上活动、勋章墙、隐私设置),技术栈:Laravel+MySQL、Vant-Weapp UI

  • Updated Mar 13, 2023
  • PHP

利用大规模视觉导航机器人进行快递分拣,涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究,涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology…

  • Updated Mar 17, 2021
  • C++

利用大规模视觉导航机器人进行快递分拣,涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究,涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology…

  • Updated Dec 16, 2022
  • Java

最近的研究表明,在图像修复问题中建立远程相互作用模型具有很高的重要性。为了实现这一目标,现有的方法要么利用古老的数字图像处理技术,要么利用单一且简单的CNN结构。但是,这些技术对于低分辨率下的复杂图像显然力不从心。本课题提出了一种新的基于对抗生成网络GAN与Transformer相融合的图像修复模型,该模型能够有效修复各个分辨率下的复杂图像。图像修复论文可用开题报告&&任务书下载链接: https://pan.baidu.com/s/1k7P5HQtDLqw1plzNBCQ3WQ?pwd=jkbb

  • Updated Mar 23, 2025
  • Python

Careium is an AI android application to help in having a long well-healthy life. Helps in tracking eaten food, ingredients, and nutrients. Careium has the advantage of estimating food ingredients, by getting food images using the mobile camera or uploading a pre-captured image to the application, resulting in related info of it such as Food’s Nu…

  • Updated Sep 8, 2022
  • Jupyter Notebook

利用大规模视觉导航机器人进行快递分拣,涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究,涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology…

  • Updated Dec 16, 2022
  • Java

An Android app for real-time facial emotion recognition, designed to improve accuracy for Middle Eastern faces and women wearing hijabs. The CNN model is trained on a hybrid dataset (FER2013, CK+, JAFFE, and IEFDB), achieving 88% accuracy on the hybrid test set and 90% on IEFDB test set.

  • Updated Sep 11, 2023
  • Java

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