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全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标;然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
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该程序是用混合高斯建模+卡尔曼滤波实现,结果依赖于前景检测效果,结果效果较好,但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)
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彩虹代刷网,全解密去已知后门,后台美化,用户中心bug修复,前台多模板(Rainbow generation brush net, full decryption to know the back door, background beautification, user center bug repair, foreground multi template)
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贝叶斯框架抠图,高斯分布,采样,最大似然率,三分图,前景区域,北京区域,未知区域(proposes a new Bayesian framework for solving
the matting problem, i.e. extracting a foreground element from
a background image by estimating an opacity for each pixel
of the foreground element. Our approac
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低秩矩阵恢复代码,MATLAB语言实现,应用于图像前景和背景相分离。(Low rank matrix recovery code, implemented in MATLAB language, is applied to image foreground and background separation.)
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将前景与背景的图像融合,程序有效,图像为彩色合成,另附其他融合算法(The fusion of foreground and background images is effective, and the image is color synthesis.)
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网上书店 前台测试用户名ckxp 密码ckxpckxp 后台管理员名admin 密码admin(Online bookstore foreground test username ckxp password ckxpckxp background administrator name admin password admin)
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上传到空间后直接访问即可根据提示安装。
PHP最低版本要求:7.0
V3.5版
1.全部模板更换
2.增加生成过程加载提示
3.增加判断域名未输入提示
4.优化后台卡顿问题
5.增加前台短链接切换
6.修复前台模板bug
7.修复登录不了后台
8.修复防红不跳转
9.修复未输入域名判断速度
搭建教程:
1.准备一个虚拟主机,推荐
2.一个域名,如果需要开通分站就用一级!
3.解析域名绑定主机,上传源码到根目录解压即可!
4.打开域名直接安装,填写信息后保存安装
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