FastDFS一键安装脚本(CentOS6.9)
脚本使用说明: 将脚本放在CentOS任意目录下,赋予脚本可执行权限,然后直接执行即可,一键傻瓜式安装; 相关安装目录请参考上面的文章 注:脚本在CentOS6.9环境下测试可用,但要保证机器已联网,并且yum命令正常可用(这里的可用包括支持yum安装,并且不会存在yum源不稳定情况)
脚本使用说明: 将脚本放在CentOS任意目录下,赋予脚本可执行权限,然后直接执行即可,一键傻瓜式安装; 相关安装目录请参考上面的文章 注:脚本在CentOS6.9环境下测试可用,但要保证机器已联网,并且yum命令正常可用(这里的可用包括支持yum安装,并且不会存在yum源不稳定情况)
We evaluate the performance of a widely used trackingby- detection and data association multi-target tracking pipeline applied to an activity-rich video dataset. In contrast to traditional work on multi-target pedestrian tracking where people are largely assumed to be upright, we use an activity-rich dataset that includes a wide range of body poses derived from actions such as picking up an object, riding a bike, digging with a shovel, and sitting down. For each step of the tracking pipeline, we identify key limitations and offer practical modifications that enable robust multi-target tracking over a range of activities. We show that the use of multiple posture-specific detectors and an appearancebased data association post-processing step can generate non-fragmented trajectories essential for holistic activity understanding.
Data glove is widely used interface device which measures hand posture (finger joint angles) and inputs it into a computer in virtual reality field. But it dose not spread throughout home because of expensive interface. On the other hand, researches to recognize a hand posture from photo/video images are performed, which are a kind of hand posture measurement system and called Vision Based Data Glove (VBDG) in recent years. In this paper, we propose a new VBDG system. It estimates hand motion using detected fingertip positions with monocular camera and inverse kinematics. However it cannot estimate hand motion when a fingertip is undetectable with selfocclusion. So our system estimates hidden finger motion, then estimates hand motion. Our experimental results show that the proposed method can estimate it with sufficient accuracy in real-time. Since camera base system is inexpensive, it fits personal use.
1、根据给定的数据格式和指令系统,设计一台微程序控制的模型计算机。 2、根据设计图,在QUARTUS II环境下仿真调试成功。 3、在调试成功的基础上,整理出设计图纸和相关文件,包括: (1)总框图(数据通路图); (2)微程序控制器逻辑图; (3)微程序流程图; (4)微程序代码表; (5)设计说明书; (6)工作小结。
本系统是使用struts+hibernate框架编写的,实现购物车的基本功能(包括添加商品到购物车、删除商品、清空购物车、产品列表、注册、登录等。。。). 注意:因上传量的限制,所用到的jar包未上传,请自己加载!