paint.html

来自「一个由Mike Gashler完成的机器学习方面的includes neural」· HTML 代码 · 共 43 行

HTML

43 行

<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"><html><head></head><body><div style="text-align: center;"><big><big><span style="font-weight: bold;">Paint (Image Processing) Demo</span></big></big><br style="font-weight: bold;"></div><br><table style="width: 100%; text-align: left;" border="0" cellpadding="2" cellspacing="2">  <tbody>    <tr>      <td style="vertical-align: top;">This demo is similar to manypainting programs, except it's not very polished.<br>      <br>The best part of this demo is the "Smart Select" tool. To use it, openan image, click on the green "Tools" tab, and click on the "SmartSelect" tool. Then just click on things that you want to select. If itselects too much, you can right-click on parts that it shouldn'tselect. Usually it only takes a few clicks to select what you want.This tool demos the GGraphCut class and the GRegionAjacencyGraph class.The <a href="http://rivit.cs.byu.edu/%7Ebprice/OBV.pdf">algorithm</a>is published <a href="http://dx.doi.org/10.1007/s00371-006-0051-1">here</a>.<br>      <br>The "Bezier" tool demos the GBezier class. To use it, just left-clickto place control points. When you're done placing control points,right-click to draw the curve.<br>      <br>And the "Border" tool demos the GRegionBorderIterator class.<br>      <br>      </td>      <td style="vertical-align: top; text-align: right;"><img alt="" src="Paint.png" style="width: 305px; height: 216px;"><br>      </td>    </tr>  </tbody></table><br></body></html>

paint.html - 源码说明

本页面展示了「一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genet」中的 paint.html 源码文件，采用 HTML 编程语言编写，共 43 行代码。您可以在线阅读完整代码内容，也可以返回资源详情页下载完整源码包进行本地学习和开发。

虫虫开发者社区收录了大量与机器学习相关的技术资源，包括源代码、技术文档、电路图等，是电子工程师和嵌入式开发者的专业学习平台。

⌨️ 快捷键说明

复制代码Ctrl + C

搜索代码Ctrl + F

全屏模式F11

增大字号Ctrl + =

减小字号Ctrl + -

显示快捷键?