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[Special Effects] GrabCut DL : 0: GrabCut图像分割算法,用迭代图像切割法完成交互式前景提取.-GrabCut image segmentation algorithm, using iterative image-cut method to complete the interactive extraction prospects.
Update : 2025-02-17 Size : 10.31mb Publisher : henry
[Windows Develop] GrabCut DL : 0: source code for GrabCut algorithm
Update : 2025-02-17 Size : 38kb Publisher : bebibo
[Graph program] GrabCut DL : 0: 一个质量比较高的源码，在编译时需要OpenCV 和 OpenGL。-A relatively high quality source code, compile-time need in OpenCV and OpenGL.
Update : 2025-02-17 Size : 1.44mb Publisher : 张勋
[Data structs] GrabCut DL : 0: 图形算法GrabCut源代码,VC++工程-GrabCut source code in VC++
Update : 2025-02-17 Size : 1.47mb Publisher : 刘聪
[Special Effects] GrabCut DL : 0: 实施GRABCUT源代码由贾斯汀塔尔博特jtalbot@stanford.edu 。放置在公共领域， 2010年代码最后更新：2006年弗拉基米尔·洛夫（ vnk@cs.cornell.edu ）， 2001年使用GRAPHCUT实施。要求： OpenGL的， GLUT和OpenCV的库来编译和运行。用法： grabcut.exe <ppm文件名使用鼠标拖动矩形围绕前景部分显示的图像。然后使用下面的按键 1 ：显示图像 2 ：显示GMM组件分配。红色的色调是前景元件绿色背景组件。 3 ：显示N-链接的权重。白色是一个大型的平均N -链接周围的像素重量，黑色是较低的平均N-链路重量。 4 ：显示T -链接的权重。红色部分是前景T-链路重量，绿色分量为背景的T链接权重。 “” （空格键）：显示/隐藏计算alpha遮罩。 O ：运行一步GRABCUT细化算法 R ：运行GRABCUT细化算法收敛。 L ：再次运行果园布曼聚类算法。（在初始化过程中自动运行）。逃生：停止细化算法（后按 R ） Q 退出。 -GrabCut implementation source code by Justin Talbot, jtalbot@stanford.edu Placed in the Public Domain, 2010 Code last updated, 2006 Uses Graphcut implementation by Vladimir Kolmogorov (vnk@cs.cornell.edu), 2001. Requires: OpenGL, GLUT, and OpenCV libraries to compile and run. Usage: grabcut.exe <ppm filename> Use mouse to drag a rectangle around the foreground portion of the displayed image. Then use the following keys 1 : Show image 2 : Show GMM component assignment. Red shades are foreground components green are background components. 3 : Show N-link weights. White is a large average N-link weight around a pixel, black is a low average N-link weight. 4 : Show T-link weights. Red component is foreground T-link weight, green component is background T-link weight. (space bar): Show/hide the computed alpha mask. o : Run one step of the GrabCut refinement algorithm r : Run the GrabCut refinement algorithm to convergence. l : Run the Orchard-
Update : 2025-02-17 Size : 35kb Publisher : liu
[Special Effects] GrabCut DL : 0: GrabCut实现源代码贾斯廷·塔尔博特,jtalbot@stanford.edu 放置在公共领域,2010 代码最后更新,2006 使用Graphcut实现弗拉基米尔• 柯尔莫哥洛夫(vnk@cs.cornell.edu),2001。要求:OpenGL,供过于求,OpenCV库来编译和运行。用法:grabcut。 exe < ppm文件名> 使用鼠标拖动矩形在前台部分的显示图像。然后使用以下键 1 :显示图像 “2”:显示组件分配高斯混合模型(GMM)。红色的墨镜是前台组件绿色是背景组件。 “3”:显示n链接权重。白色是一个大型的平均重量约一个像素n链接,黑色是一个较低的平均n链接权重。 4 :显示t链接权重。红色的组件是前台t链接重量、绿色组件是背景t链接权重。 “(空格键):显示/隐藏计算α面具。 “o”:跑的一个步骤GrabCut细化算法 “r”:运行GrabCut细化算法收敛。 “l”:运行Orchard-Bouman再次聚类算法。 (这是在初始化时自动运行)。逃脱:停止细化算法(压后“r”)-GrabCut implementation source code by Justin Talbot, jtalbot@stanford.edu Placed in the Public Domain, 2010 Code last updated, 2006 Uses Graphcut implementation by Vladimir Kolmogorov (vnk@cs.cornell.edu), 2001. Requires: OpenGL, GLUT, and OpenCV libraries to compile and run. Usage: grabcut.exe <ppm filename> Use mouse to drag a rectangle around the foreground portion of the displayed image. Then use the following keys 1 : Show image 2 : Show GMM component assignment. Red shades are foreground components green are background components. 3 : Show N-link weights. White is a large average N-link weight around a pixel, black is a low average N-link weight. 4 : Show T-link weights. Red component is foreground T-link weight, green component is background T-link weight. (space bar): Show/hide the computed alpha mask. o : Run one step of the GrabCut refinement algorithm r : Run the GrabCut refinement algorithm to convergence. l : Run the Orchard-
Update : 2025-02-17 Size : 36kb Publisher : 王明
[Software Engineering] grabcut DL : 0: grabcaut程序源代码，对图像分割很有帮助，可以参考一下！-grabcaut program source code, useful for image segmentation, you can refer!
Update : 2025-02-17 Size : 3kb Publisher : 军品
[2D Graphic] grabcut DL : 0: GrubCut分割的源代码，效果达80 ，分割结果用于特征检索，效率非常高！-This is the source code of the famous Algorithm GrubCut with high efficient.
Update : 2025-02-17 Size : 7.19mb Publisher : 庞芸萍
[OpenCV] matlab_grabcut-master DL : 0: 用MATLAB实现了GrabCut的图像分割的源代码供参考-Using MATLAB to achieve the GrabCut image segmentation of the source code for reference
Update : 2025-02-17 Size : 6.25mb Publisher : 阿斯
[Special Effects] Excecutable.tar DL : 0: 用MATLAB实现了GrabCut的图像分割的源代码供参考-Using MATLAB to achieve the GrabCut image segmentation of the source code for reference
Update : 2025-02-17 Size : 1.29mb Publisher : 阿斯
[Special Effects] GrabCut DL : 0: 用MATLAB实现了GrabCut的图像分割的源代码供参考-Using MATLAB to achieve the GrabCut image segmentation of the source code for reference
Update : 2025-02-17 Size : 79kb Publisher : 阿斯
[Special Effects] Graphics-Project.tar DL : 0: 用MATLAB实现了GrabCut的图像分割的源代码供参考-Using MATLAB to achieve the GrabCut image segmentation of the source code for reference
Update : 2025-02-17 Size : 3.04mb Publisher : 阿斯
[Special Effects] LevelSet_GrabCut-master DL : 0: 用MATLAB实现了GrabCut的图像分割的源代码供参考-Using MATLAB to achieve the GrabCut image segmentation of the source code for reference
Update : 2025-02-17 Size : 396kb Publisher : 阿斯
[Software Engineering] GrabCut-document-and-code DL : 0: GrabCut的OpenCV代码及其原理，代码在文档当中-An introduction to GrabCut in OpenCV with its source code
Update : 2025-02-17 Size : 403kb Publisher : 王德晨