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GradientBorder_sssrc
  • Classification:Windows/.NET - Other WINDOWS program
  • Development Tool:Visual C++
  • Sise:320 KB
  • Upload time:2012/3/26 13:57:04
  • Uploader:abhi23elex
  • Download Statistics:
Description
Animating Windows Forms source code integrity, and can be used directly.


App.ico

File list:
Animations
.........\Animations.csproj
.........\Animations.csproj.bak
.........\Animations.csproj.user
.........\AnimatorBase.cs
.........\AssemblyInfo.cs
.........\ControlBackColorAnimator.cs
.........\ControlBoundsAnimator.cs
.........\ControlForeColorAnimator.cs
.........\Documentation.ndoc
.........\DummyAnimator.cs
.........\FormOpacityAnimator.cs
.........\TrackBarValueAnimator.cs
Gradients
........\AssemblyInfo.cs
........\Documentation.ndoc
........\GradientBorder.cs
........\GradientBorder.resx
........\GradientBorderAnimationExtender.cs
........\GradientBorderAnimationExtender.resx
........\GradientBorderButton.cs
........\GradientBorderButton.resx
........\GradientBorderInnerColorAnimator.cs
........\GradientBorderLabel.cs
........\GradientBorderLabel.resx
........\GradientBorderWidthAnimator.cs
........\Gradients.csproj
........\Gradients.csproj.user
TestApp
......\AnchorControl.cs
......\AnchorControl.resx
......\AnimationsSample1.cs
......\AnimationsSample1.resx
......\AnimationsSample2.cs
......\AnimationsSample2.resx
......\AnimationsSample3.cs
......\AnimationsSample3.resx
......\AnimationsSample3HelpControl.cs
......\AnimationsSample3HelpControl.resx
......\AnimationsSample4.cs
......\AnimationsSample4.resx
......\AnimationsSampleSelector.cs
......\AnimationsSampleSelector.resx
......\AnimatorSample2HelpControl.cs
......\AnimatorSample2HelpControl.resx
......\App.ico
App.ico
......\AssemblyInfo.cs
......\Documentation.ndoc
......\GradientBorderSample.cs
......\GradientBorderSample.resx
......\GradientButtonSample.cs
......\GradientButtonSample.resx
......\MainForm.cs
......\MainForm.resx
......\TestApp.csproj
......\TestApp.csproj.user
TestSolution.sln
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[> compile Remember to also adjust your path so MATLAB can find iHOG: >> addpath(genpath('/path/to/ihog')) If you want to use iHOG in your own project, you can simply drop the iHOG directory into the root of your project. Inverting HOG To invert a HOG point, use the 'invertHOG()' function: >> feat = features(im, 8); >> ihog = invertHOG(feat); >> imagesc(ihog); axis image; Computing the inverse should take no longer than a second for a typical sized image on a modern computer. (It may slower the first time you invoke it as it caches the paired dictionary from disk.) Visualizing HOG iHOG has several functions to visualize HOG. The most basic is 'visualizeHOG()': >> feat = features(im, 8); >> visualizeHOG(feat); The above displays a figure with the HOG glyph and the HOG inverse. This visualization is a drop-in replacement for more standard visualizations, and should work with existing code bases. The de-facto HOG has signed components, unsigned components, as well as texture components. 'dissectHOG()' visualizes each of these components invidually: >> dissectHOG(feat); A similar visualization 'spreadHOG()' shows each dimension individually: >> spreadHOG(feat); More visualizations are available. Check out the 'visualizations/' folder and read the comments for more. Learning We provide a prelearned dictionary in 'pd.mat', but you can learn your own if you wish. Simply call the 'learnpairdict()' function and pass it a directory of images: >> pd = learnpairdict('/path/to/images/', 1000000, 1000, 5, 5); The above learns a 5x5 HOG patch paired dictionary with 1000 elements and a training set size of one million window patches. Depending on the size of the problem, it may take minutes or hours to complete. Bundled Libraries The iHOG package contains source code from the SPAMS sparse coding toolbox (http://spams-devel.gforge.inria.fr/). We have modified their code to better support 64 bit machines. 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