Emgu CV is a cross platform. Net wrapper to the Open CV image processing library. Allowing Open CV functions to be called from. NET compatible languages such as C, VB, VC+, Iron Python etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, i Phone, i Pad and Android devices. Latest News Emgu. CV- is available in sourceforge. See change log. Emgu. CV- is available in sourceforge. See change log. A Comparison of Emgu CV Versions Name Emgu CV ( Open Source) Emgu CV ( Commercial Optimized) Windows Store App * Emgu CV for i OS ( Commercial) Emgu CV for Android ( Commercial) Emgu CV for OSX, Unix, Linux ( Commercial) Platform Windows, Linux, Mac OSX Windows Windows 8 App Store i OS (i Phone, IPad, IPod Touch) Android Mac OSX, Unix, Linux Supported CPU Architecture i386, x64 i386, x64 i386, x64 armv7, armv7a, arm64, i386 ( Simulator x64 ( Simulator) armeabi, armeabi-v7a, x86 i386, x64, arm CUDA GPU Processing Open CL ( GPU& CPU) X X (on supported devices) (if rebuild from source) Tesseract OC ntel TBB (multi-thread) ntel C+ Compiler (fast code) xception Handling Debugger Visualizer X Emgu. CV. U X License GPL Commercial License Commercial License Commercial License Commercial License Commercial License Windows 8 Store App version is included in the Windows Commercial release Windows RT is currently NOT supported Advantage of Emgu CV Emgu CV is written entirely in C. The benefit is that it can be compiled in Mono and therefore is able to run on any platform Mono supports, including Linux, Mac OS X, i OS and Android. A lot of efforts has been spend to have a pure C implementation since the headers have to be ported, compared with managed C+ implementation where header files can simply be included. But it is well worth it if you see Emgu CV running on Fedora 10! Plus it always gives you the.
Integrating Open CV v into Android Studio v, instructions with additional detail and this-is-what-you-should-get type screenshots. Most of the credit goes to Kiran, Kool, 1, and Steve Liles over at opencv.org for their explanations. I'm adding this answer because I believe that Android Studio's interface is now stable enough to work with on this type of integration stuff. Also I have to write these instructions anyway for our project. Experienced A. S. developers will find some of this pedantic. This answer is targeted at people with limited experience in Android Studio. Create a new Android Studio project using the project wizard ( Project Call it cvtest1 Form factor: API 19, Android 4.4 ( Kit Kat) Blank Activity named Main Activity You should have a cvtest1 directory where this project is stored. (the title bar of Android studio shows you where cvtest1 is when you open the project) Verify that your app runs correctly. Try changing something like the Hello World text to confirm that the build/test cycle is OK for you. ( I'm testing with an emulator of an API 19 device). Download the Open CV package for Android v and unzip it in some temporary directory somewhere. ( Make sure it is the package specifically for Android and not just the Open CV for Java package.) I'll call this directory unzip-dir Below unzip-dir you should have a sdk/native/libs directory with subdirectories that start with things like arm., mips. and x86. (one for each type of architecture Android runs on) From Android Studio import Open CV into your project as a module: : Source-directory: unzip-dir /sdk/java Module name: Android studio automatically fills in this field with open CVLibrary310 (the exact name probably doesn't matter but we'll go with this). Click on next. You get a screen with three checkboxes and questions about jars, libraries and.
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