tbb for Andorid, armeabi-v7a

registercsdn 2018-04-18 03:39:39

tbb 这个库怎么编译成android armeabi-v7a版本？
网上找到很多，但是没有详细步骤，如何打指令？

https://github.com/01org/tbb/releases

https://github.com/01org/tbb

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赵4老师 2018-04-19

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深度学习之卷积神经网络CNN做手写体识别的VS代码。支持linux版本和VS2012版本。 tiny-cnn: A C++11 implementation of convolutional neural networks ======== tiny-cnn is a C++11 implementation of convolutional neural networks. design principle ----- * fast, without GPU 98.8% accuracy on MNIST in 13 minutes training (@Core i7-3520M) * header only, policy-based design supported networks ----- ### layer-types * fully-connected layer * convolutional layer * average pooling layer ### activation functions * tanh * sigmoid * rectified linear * identity ### loss functions * cross-entropy * mean-squared-error ### optimization algorithm * stochastic gradient descent (with/without L2 normalization) * stochastic gradient levenberg marquardt dependencies ----- * boost C++ library * Intel TBB sample code ------ ```cpp #include "tiny_cnn.h" using namespace tiny_cnn; // specify loss-function and optimization-algorithm typedef network CNN; // tanh, 32x32 input, 5x5 window, 1-6 feature-maps convolution convolutional_layer C1(32, 32, 5, 1, 6); // tanh, 28x28 input, 6 feature-maps, 2x2 subsampling average_pooling_layer S2(28, 28, 6, 2); // fully-connected layers fully_connected_layer F3(14*14*6, 120); fully_connected_layer F4(120, 10); // connect all CNN mynet; mynet.add(&C1); mynet.add(&S2); mynet.add(&F3); mynet.add(&F4); assert(mynet.in_dim() == 32*32); assert(mynet.out_dim() == 10); ``` more sample, read main.cpp build sample program ------ ### gcc(4.6~) without tbb ./waf configure --BOOST_ROOT=your-boost-root ./waf build with tbb ./waf configure --TBB --TBB_ROOT=your-tbb-root --BOOST_ROOT=your-boost-root ./waf build with tbb and SSE/AVX ./waf configure --AVX --TBB --TBB_ROOT=your-tbb-root --BOOST_ROOT=your-boost-root ./waf build ./waf configure --SSE --TBB --TBB_ROOT=your-tbb-root --BOOST_ROOT=your-boost-root ./waf build or edit inlude/config.h to customize default behavior. ### vc(2012~) open vc/tiny_cnn.sln and build in release mode.

本人最新亲手编译的OpenCV-2.4.0函数库，包含Visual Studio 2005/2008/2010三种，下载后可直接配置使用，里面附加了编译时使用的intel tbb函数库以备不时之需。编译方法：http://blog.csdn.net/shuxiao9058/article/details/7526795 配置方法（需略作修改）：http://blog.csdn.net/shuxiao9058/article/details/7525067 如有问题，欢迎留言或者email交流！！！

Executing tasks: [clean, :smartcropperlib:assembleDebug, :app:assembleDebug] :clean UP-TO-DATE :app:clean :smartcropperlib:externalNativeBuildCleanDebug Clean smart_cropper armeabi-v7a Cleaning... 3 files. Clean smart_cropper arm64-v8a Cleaning... 4 files

用AS的SDK+NDK工具进行编译（OK）！ POWERSHELL编译命令行： (base) PS D:\OpenCV_Build_Anroid_20191219\build_for_android> C:\Users\jy\AppData\Local\Android\Sdk\cmake\3.6.4111459\bin\cmake.exe -G “Ninja” …\opencv-master\ -DANDROID_NDK=C:\Users\jy\AppData\Local\And roid\Sdk\

Build command failed. Error while executing process /Users/fenglei/Library/Android/sdk/cmake/3.10.2.4988404/bin/ninja with arguments {-C /Users/fenglei/AndroidStudioProjects/FFmpegNdkDemo/app/.cxx/cmake/debug/armeabi-v7a native-lib} ninja: Entering directo

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