Tensorflow官方demo 发布到Android手机

tensorflow官方demo移植

准备工作：
1.系统：ubuntu 16.04
2.工具：android studio:https://developer.android.com/studio/index.html
tensorflow-master://github.com/tensorflow/tensorflow

开始

1.将下载好的as移动到自己喜欢的位置并解压 unzip …
2.解压后进入android-studio/bin，在当前位置打开终端，运行：./studio.sh，即可开始安装，具体配置请参考as安装教程

1. 将下载好的tensorflow-master.zip解压；
2. 运行AS，选择打开现有工程，去解压的tensorflow-master文件夹里查找，此时会有一个绿色as工程，选中打开，具体路径如下：tensorflow/lite/examples/android ；
   工程加载完毕后会，在as工具栏，选择Build>Make Project，此过程需要一段时间
   

运行完毕可能会报错，我的是一个Zeros.java文件，可以参考官网解决方案，我的修改方法如下：找到nativeBuildSystem设置为none

参考官网教程.

// This file provides basic support for building the TensorFlow demo
// in Android Studio with Gradle.
//
// Note that Bazel is still used by default to compile the native libs,
// and should be installed at the location noted below. This build file
// automates the process of calling out to it and copying the compiled
// libraries back into the appropriate directory.
//
// Alternatively, experimental support for Makefile builds is provided by
// setting nativeBuildSystem below to 'makefile'. This will allow building the demo
// on Windows machines, but note that full equivalence with the Bazel
// build is not yet guaranteed. See comments below for caveats and tips
// for speeding up the build, such as enabling ccache.
// NOTE: Running a make build will cause subsequent Bazel builds to *fail*
// unless the contrib/makefile/downloads/ and gen/ dirs are deleted afterwards.

// The cmake build only creates libtensorflow_demo.so. In this situation,
// libtensorflow_inference.so will be acquired via the tensorflow.aar dependency.

// It is necessary to customize Gradle's build directory, as otherwise
// it will conflict with the BUILD file used by Bazel on case-insensitive OSs.
project.buildDir = 'gradleBuild'
getProject().setBuildDir('gradleBuild')

buildscript {
    repositories {
        jcenter()
        google()
    }

    dependencies {
        classpath 'com.android.tools.build:gradle:3.3.2'
        classpath 'org.apache.httpcomponents:httpclient:4.5.4'
    }
}

allprojects {
    repositories {
        jcenter()
        google()
    }
}

// set to 'bazel', 'cmake', 'makefile', 'none'
//需要修改的地方，nativeBuildSystem设置为none
//def nativeBuildSystem = 'bazel'
def nativeBuildSystem = 'none'
// Controls output directory in APK and CPU type for Bazel builds.
// NOTE: Does not affect the Makefile build target API (yet), which currently
// assumes armeabi-v7a. If building with make, changing this will require
// editing the Makefile as well.
// The CMake build has only been tested with armeabi-v7a; others may not work.
def cpuType = 'armeabi-v7a'

// Output directory in the local directory for packaging into the APK.
def nativeOutDir = 'libs/' + cpuType

// Default to building with Bazel and override with make if requested.
def nativeBuildRule = 'buildNativeBazel'
def demoLibPath = '../../../bazel-bin/tensorflow/examples/android/libtensorflow_demo.so'
def inferenceLibPath = '../../../bazel-bin/tensorflow/contrib/android/libtensorflow_inference.so'

// Override for Makefile builds.
if (nativeBuildSystem == 'makefile') {
    nativeBuildRule = 'buildNativeMake'
    demoLibPath = '../../../tensorflow/contrib/makefile/gen/lib/android_' + cpuType + '/libtensorflow_demo.so'
    inferenceLibPath = '../../../tensorflow/contrib/makefile/gen/lib/android_' + cpuType + '/libtensorflow_inference.so'
}

// If building with Bazel, this is the location of the bazel binary.
// NOTE: Bazel does not yet support building for Android on Windows,
// so in this case the Makefile build must be used as described above.
def bazelLocation = '/usr/local/bin/bazel'

// import DownloadModels task
project.ext.ASSET_DIR = projectDir.toString() + '/assets'
project.ext.TMP_DIR   = project.buildDir.toString() + '/downloads'

// Download default models; if you wish to use your own models then
// place them in the "assets" directory and comment out this line.
apply from: "download-models.gradle"

apply plugin: 'com.android.application'

android {
    compileSdkVersion 23

    if (nativeBuildSystem == 'cmake') {
        defaultConfig {
            applicationId = 'org.tensorflow.demo'
            minSdkVersion 21
            targetSdkVersion 23
            ndk {
                abiFilters "${cpuType}"
            }
            externalNativeBuild {
                cmake {
                    arguments '-DANDROID_TOOLCHAIN=gcc', '-DANDROID_STL=gnustl_static'
                }
            }
        }
        externalNativeBuild {
            cmake {
                path './jni/CMakeLists.txt'
            }
        }
    }

    lintOptions {
        abortOnError false
    }

    sourceSets {
        main {
            if (nativeBuildSystem == 'bazel' || nativeBuildSystem == 'makefile') {
                // TensorFlow Java API sources.
                java {
                    srcDir '../../java/src/main/java'
                    exclude '**/examples/**'
                }

                // Android TensorFlow wrappers, etc.
                java {
                    srcDir '../../contrib/android/java'
                }
            }
            // Android demo app sources.
            java {
                srcDir 'src'
            }

            manifest.srcFile 'AndroidManifest.xml'
            resources.srcDirs = ['src']
            aidl.srcDirs = ['src']
            renderscript.srcDirs = ['src']
            res.srcDirs = ['res']
            assets.srcDirs = [project.ext.ASSET_DIR]
            jniLibs.srcDirs = ['libs']
        }

        debug.setRoot('build-types/debug')
        release.setRoot('build-types/release')
    }
    defaultConfig {
        targetSdkVersion 23
        minSdkVersion 21
    }
}

task buildNativeBazel(type: Exec) {
    workingDir '../../..'
    commandLine bazelLocation, 'build', '-c', 'opt',  \
         'tensorflow/examples/android:tensorflow_native_libs',  \
         '--crosstool_top=//external:android/crosstool',  \
         '--cpu=' + cpuType,  \
         '[email protected]_tools//tools/cpp:toolchain'
}

task buildNativeMake(type: Exec) {
    environment "NDK_ROOT", android.ndkDirectory
    // Tip: install ccache and uncomment the following to speed up
    // builds significantly.
    // environment "CC_PREFIX", 'ccache'
    workingDir '../../..'
    commandLine 'tensorflow/contrib/makefile/build_all_android.sh',  \
         '-s',  \
         'tensorflow/contrib/makefile/sub_makefiles/android/Makefile.in',  \
         '-t',  \
         'libtensorflow_inference.so libtensorflow_demo.so all'  \
         , '-a', cpuType  \
         //, '-T'  // Uncomment to skip protobuf and speed up subsequent builds.
}


task copyNativeLibs(type: Copy) {
    from demoLibPath
    from inferenceLibPath
    into nativeOutDir
    duplicatesStrategy = 'include'
    dependsOn nativeBuildRule
    fileMode 0644
}

tasks.whenTaskAdded { task ->
    if (nativeBuildSystem == 'bazel' || nativeBuildSystem == 'makefile') {
        if (task.name == 'assembleDebug') {
            task.dependsOn 'copyNativeLibs'
        }
        if (task.name == 'assembleRelease') {
            task.dependsOn 'copyNativeLibs'
        }
    }
}

dependencies {
    if (nativeBuildSystem == 'cmake' || nativeBuildSystem == 'none') {
        implementation 'org.tensorflow:tensorflow-android:+'
    }
}

再次运行程序正常，将Android手机连接到电脑，开始发布程序

等待一段时间就可以了，安装完会显示4个APP

可能存在的问题，bantu无法识别android手机，参考网络教程使用lsusb命令，找到对应usb设备的编号，然后进入as安装时生成的Android/SDK/platform-tools文件夹，打开终端可以使用adb命令
重新启动adb server

(很重要)拔掉usb重新连上再执行：

adb kill-server
adb devices
//返回devices注意在手机上同意进行授权
adb root (这一步很重要 )

使用usb进行调试