+VERY FAST face detection.
8fps[iPhone4,OS 4.3.2,face exist]
+Various fast image effect including Edge,Grayscale,Binarization,Blur,Postalization,Mirror,Spot Color,Residual image,Fish Eye,Gamma manupuration,Dither,Swap Color...and More!
Many effects is very high speed that you can use it with live view effect like sample code.
+Easy to use.
There is C and Objective-C APIs that is simple to apply with iOS.
1.Download and open /sample01_live/camera01.xcodeproj
2.Run
*This framework and sample project currently works only iOS devices with armv7(iPhone3G and 1st gen iPodTouch is not supported.
I will support armv6 and simulator in future).
You can add ImageProcessing.framework to your project like other framework.
*Please set the following configuration when using in your own project.
1.In your project setting,set architecture to armv7.(override)
2.In your project setting,turn Thumb instruction to Off
3.In your project setting,set Optimization Level to O3
4.Add Accelerate.framework
5.Add haarcascades to your project in framework.
You can download iOS APP PiPic using this framework on APP Store
Android version will be release soon.
Accelerate.framework
My colleague Ko Yokokawa designed HP and gave me advice
A very fast BGRA to Grayscale conversion on Iphone « Computer Vision Talks
Optimizing OpenCV face detection for the i.MX51
BSD License. This framework use OpenCV. Please read License agreement below.
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License Agreement
For Open Source Computer Vision Library
Copyright (C) 2000-2008, Intel Corporation, all rights reserved. Copyright (C) 2008-2010, Willow Garage Inc., all rights reserved. Third party copyrights are property of their respective owners.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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Redistribution's of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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Redistribution's in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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