I did this by modifying the Android.mk file for Grace and updating the value of APP_ABI to “all” or “x86” from “armeabi”, then running the ndk-build command to generate the object code for x86 and arm processors. The only change I had to make was to select the NDK build compilation flag to target all the processor architectures and recompile the source code to generate new binaries. Grace Application uses OpenCV for automatic video pause and playback feature. For this exercise, I worked on a Lenovo Android device with the Intel x86 processor- porting the ARM-based binary to Intel x86 architecture was very straightforward. Now that you know about Grace, lets talk about adapting this app on Android with Intel x86 architecture-based devices. The goal is to simplify mobile learning by bringing together top learning content, tools and passionate learners to foster a successful learning platform. We will be using the example of an app named "Grace" for this how to tutorial.įor those of you who don’t know about Grace, here is a brief introduction - Grace is a mobile learning application which allows users to tap into a variety of online resources including leaders, teachers, Universities and organizations. This post is to help you learn on how to use Intel WiDi technology to project/beam your app onto a bigger screen (TV, Laptop, Monitor).
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