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	<title>Damiles</title>
	<link>http://blog.damiles.com</link>
	<description>Blender, OpenCV, OpenCV, Tutorials and more...</description>
	<lastBuildDate>Tue, 27 Jul 2010 12:59:06 +0000</lastBuildDate>
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	<language>en</language>
	
	<item>
		<title>CvFileStorage. How to save our custom structures with OpenCV functions</title>
		<description><![CDATA[In this tutorial we go to show how to save our custom structures with opencv functions.
We go to imagine we have this structure in our program.
typedef struct
{
	float var1;
	unsigned char var2[255];
}MyStructure;
Opencv can save data in two formats: XML or YAML. This formats are markup languages.
For write or read a file, we go to use cvOpenFileStorage function, [...]]]></description>
		<link>http://blog.damiles.com/?p=262</link>
			</item>
	<item>
		<title>Pseudocolor implementation with OpenCV.</title>
		<description><![CDATA[In Computer Vision works in a lot of cases with gray images because there are a lot of motives. But human vision don&#8217;t perceives the gray levels so well as color levels.
Then if we need show a image to a person, we can color it. But, how is the best way to coloring gray image?
There [...]]]></description>
		<link>http://blog.damiles.com/?p=244</link>
			</item>
	<item>
		<title>Neuroph, Java/Netbeans tutorial.</title>
		<description><![CDATA[Neuroph is a Neural network for image recognition in java. In netbeans dzone are a netbeans/java tutorial for image recognition with neuroph library.
]]></description>
		<link>http://blog.damiles.com/?p=242</link>
			</item>
	<item>
		<title>Chamilo. The new e-learning platform</title>
		<description><![CDATA[Today is born the new e-learning platform. Chamilo!
Chamilo is a new project that opts for open source in a radical way. It aims at bringing you the best e-learning and collaboration platform in the open source world.
]]></description>
		<link>http://blog.damiles.com/?p=241</link>
			</item>
	<item>
		<title>Segmentation &amp; object detection by color.</title>
		<description><![CDATA[In this tutorial i go to explain how to image segmentation or detect objects byred color, in this case by red color.
This task is simple, but there are some things we must known.
Now i go to explain and get a demo code for segmentation, how to determine if each image pixel is red or no, [...]]]></description>
		<link>http://blog.damiles.com/?p=205</link>
			</item>
	<item>
		<title>VIM how to remove ^M at the end of lines</title>
		<description><![CDATA[In unix the end of line is different than other systems. More times we edit windows files and when open in VI/VIM we see the ^M character at end of lines.
We can remove this characters with a simply search and replace of vim with this command:
:%s/^M//g
The ^M character is not valid write first ^ character [...]]]></description>
		<link>http://blog.damiles.com/?p=189</link>
			</item>
	<item>
		<title>Compile Opencv with Mac os Snow Leopard 10.6</title>
		<description><![CDATA[Today i try install OpenCv in my MacOs Snow Leopard 10.6 and have this error:
 error: CPU you selected does not support x86-64 instruction set
The searching in google have the solution
go to opencv folder and edit configure file, searchi prescott and replace the line
DEFAULT_CXXFLAGS=&#8221;-g -march=prescott -ffast-math -fomit-frame-pointer $DEFAULT_CXXFLAGS&#8221;
with this:
DEFAULT_CXXFLAGS=&#8221;-g -march=i686 -m32 -ffast-math -fomit-frame-pointer $DEFAULT_CXXFLAGS&#8221;
But when [...]]]></description>
		<link>http://blog.damiles.com/?p=181</link>
			</item>
	<item>
		<title>Exuberant CTags and OpenCV with Vim. Thanks Piponazo!!</title>
		<description><![CDATA[Piponazo have a wonderful spanish tutorial explianing how use Exuberant CTags in vim with a opencv as example and some tips for correct import ctags of opencv.
Exuberant Ctags tutorial. &#8220;La plaga Tux&#8221;

Thanks Piponazo.
]]></description>
		<link>http://blog.damiles.com/?p=179</link>
			</item>
	<item>
		<title>The basics of background substraction</title>
		<description><![CDATA[This tutorial explain the basics of background substraction. First of all we need define what is a background and what is a foreground.
We consider a background the pixels of image without motion. And a foreground the pixels with motion. Then the simplest background model assume each background pixel his brightness varies independently with normal distribution. [...]]]></description>
		<link>http://blog.damiles.com/?p=127</link>
			</item>
	<item>
		<title>BlenderOcv, &#8220;blender&#8221; can be good and powerful tool for computer vision with OpenCV</title>
		<description><![CDATA[This is the question: can be Blender a powerful tool for computer vision with OpenCv.
Blender is now a powerful suite of 3d content creation, where have a various characteristich as animation, composit, shade, model, texture, interactive &#8230; And OpenCV is ga powerful realtime library for computer Vision.
Then my goal is provide a new and powerfull [...]]]></description>
		<link>http://blog.damiles.com/?p=116</link>
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