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[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
[Windows Develop] samples DL : 0: GrabCut抠图静态自动抠图实现，基于VS2008和OPENCV-GrabCut Matting static automatic matting to achieve, based on VS2008 and OPENCV
Update : 2025-02-17 Size : 2kb Publisher : sfdghs
[OpenCV] GrabCut DL : 0: 基于opencv的图像分割算法，改进了graph cut算法-image segmentation algorithm based on Opencv， improved from graph cut algorithm
Update : 2025-02-17 Size : 3.7mb Publisher : 天使
[OpenCV] myNewGrabCut DL : 0: opencv中的GrabCut，把里面的例子简化了，并对GrabCut部分进行注释-opencv in GrabCut, simplified example of the inside, and some of the comments GrabCut
Update : 2025-02-17 Size : 4.88mb Publisher : zhazhiqiang
[OpenCV] grabcut DL : 0: opencv抠图算法。c语言实现。需要较少的用户输入就能实现很好的分割效果。-opencv matting algorithm
Update : 2025-02-17 Size : 2kb Publisher : 熊改
[OpenCV] grabcut DL : 0: 使用OpenCV的Grabcut实现图像分割-Use Grabcut in OpenCV for image segmentation
Update : 2025-02-17 Size : 1.24mb Publisher : jeff
[Special Effects] HW7 DL : 0: 修改OPENCV中得SAMPLE的GRABCUT代码实现图像分割实现图像分割-Modify the SAMPLE OPENCV was GRABCUT code to achieve the segmentation of image segmentation
Update : 2025-02-17 Size : 72kb Publisher : EARNER
[OpenCV] grabCut DL : 0: 用opencv实现的图像分割算法非常好用-With opencv image segmentation algorithm is very easy to use
Update : 2025-02-17 Size : 1.4mb Publisher : Ouyang
[Special Effects] GrabCut DL : 0: grabcut算法实现图像分割,基于2004年发表的grabcut算法实现。-grabcut
Update : 2025-02-17 Size : 11.61mb Publisher : 天气晴
[GDI-Bitmap] grabcut.zip DL : 0: opencv实现grabcut抠图功能，能将一定区域内的物体分离出来，未加模糊处理,the opencv realization grabcut matting function
Update : 2025-02-17 Size : 5kb Publisher : 周丽
[OpenCV] grabcut DL : 0: opencv中使用grabcut的代码,实现的效果非常好。-the opencv used grabcut the code
Update : 2025-02-17 Size : 3kb Publisher : q dd
[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
[OpenCV] sharedmatting DL : 0: c++ opencv GrabCut image matting 图像分割抠图-c++ opencv GrabCut image matting
Update : 2025-02-17 Size : 7kb Publisher : tl
[OpenCV] interpretation-of--OPENCV-GrabCut-- DL : 0: opencv grabcut 程序详细讲解-opencv grabcut procedure explained in detail
Update : 2025-02-17 Size : 14kb Publisher : 徐健
[OpenCV] grabcut DL : 0: grabcut实现代码。运用opencv实现，对图像分割具有很好的效果。-grabcut implementation code. Use opencv achieve image segmentation has a good effect.
Update : 2025-02-17 Size : 795kb Publisher : 金俊波
[OpenCV] grabCut DL : 0: opencv下图像分割程序，下载完可直接运行，运行效果良好-Opencv image segmentation procedures, download can be run directly, the effect is good
Update : 2025-02-17 Size : 9.09mb Publisher : 林凯
[Special Effects] grabcut.py DL : 0: opencv-python，交互式grabcut实现图像前景的提取，好用，效果好。-Opencv-python, interactive grabcut image foreground extraction, easy to use, can get good results.
Update : 2025-02-17 Size : 3kb Publisher : 大华蔡
[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
[Special Effects] GrabCut DL : 0: java使用GrabCut的示例，没有搭配opencv环境的伪代码(An example of Java using GrabCut)
Update : 2025-02-17 Size : 90kb Publisher : 452123198510084657

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