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This research aims at simply deploying deeplearning on mobile devices, with low complexity and high speed.

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itminner/paddle-mobile

 
 

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Paddle-Mobile

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This project is used to develop the next version deep learning freamwork for mobile device.

Development

Used model in development

cross-compilation to android

  • NDK is required
  • ANDROID_NDK environment variable is required
sh build.sh android

build for x86

paddle-mobile is to run on arm platform. x86 only used to test not arm assembly code. So do not recommend compiling x86.

Now only support osx.

sh build.sh mac

Old Version of Mobile-Deep-Learning

The old version of MDL was I moved to here Mobile-Deep-Learning

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This research aims at simply deploying deeplearning on mobile devices, with low complexity and high speed.

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  • C++ 76.9%
  • C 16.6%
  • CMake 5.4%
  • Shell 1.1%