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  • 在Android手机上使用腾讯的ncnn实现图像分类

    https://blog.csdn.net/qq_33200967/article/details/82421089

    原文博客:Doi技术团队
    链接地址:https://blog.doiduoyi.com/authors/1584446358138
    初心:记录优秀的Doi技术团队学习经历

    前言

    在之前笔者有介绍过《在Android设备上使用PaddleMobile实现图像分类》,使用的框架是百度开源的PaddleMobile。在本章中,笔者将会介绍使用腾讯的开源手机深度学习框架ncnn来实现在Android手机实现图像分类,这个框架开源时间比较长,相对稳定很多。

    ncnn的GitHub地址:https://github.com/Tencent/ncnn

    使用Ubuntu编译ncnn库

    1、首先要下载和解压NDK。

    wget https://dl.google.com/android/repository/android-ndk-r17b-linux-x86_64.zip
    unzip android-ndk-r17b-linux-x86_64.zip
    
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    2、设置NDK环境变量,目录是NDK的解压目录。

    export ANDROID_NDK="/home/test/paddlepaddle/android-ndk-r17b"
    
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    设置好之后,可以使用以下的命令查看配置情况。

    root@test:/home/test/paddlepaddle# echo $NDK_ROOT
    /home/test/paddlepaddle/android-ndk-r17b
    
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    3、安装cmake,需要安装较高版本的,笔者的cmake版本是3.11.2。

    下载cmake源码

    wget https://cmake.org/files/v3.11/cmake-3.11.2.tar.gz
    
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    解压cmake源码

    tar -zxvf cmake-3.11.2.tar.gz
    
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    进入到cmake源码根目录,并执行bootstrap。

    cd cmake-3.11.2
    ./bootstrap
    
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    最后执行以下两条命令开始安装cmake。

    make
    make install
    
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    安装完成之后,可以使用cmake --version是否安装成功。

    root@test:/home/test/paddlepaddle# cmake --version
    cmake version 3.11.2
    
    CMake suite maintained and supported by Kitware (kitware.com/cmake).
    
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    4、克隆ncnn源码。

    git clone https://github.com/Tencent/ncnn.git
    
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    5、编译源码。

    # 进入到ncnn源码根目录下
    cd ncnn
    # 创建一个新的文件夹
    mkdir -p build-android-armv7
    # 进入到该文件夹中
    cd build-android-armv7
    # 执行编译命令
    cmake -DCMAKE_TOOLCHAIN_FILE=$ANDROID_NDK/build/cmake/android.toolchain.cmake 
        -DANDROID_ABI="armeabi-v7a" -DANDROID_ARM_NEON=ON 
        -DANDROID_PLATFORM=android-14 ..
    # 这里笔者使用4个行程并行编译
    make -j4
    make install
    
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    6、编译完成,会在build-android-armv7目录下生成一个install目录,我们编译得到的文件都在该文件夹下:

    • include 调用ncnn所需的头文件,该文件夹会存放在Android项目的src/main/cpp目录下;
    • lib 编译得到的ncnn库libncnn.a,之后会存放在Android项目的src/main/jniLibs/armeabi-v7a/libncnn.a

    转换预测模型

    1、克隆Caffe源码。

    git clone https://github.com/BVLC/caffe.git
    
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    2、编译Caffe源码。

    # 切换到Caffe目录
    cd caffe
    # 在当前目录执行cmake
    cmake .
    # 使用4个线程编译
    make -j4
    make install
    
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    3、升级Caffe模型。

    # 把需要转换的模型复制到caffe/tools,并切入到该目录
    cd tools
    # 升级Caffe模型
    ./upgrade_net_proto_text mobilenet_v2_deploy.prototxt mobilenet_v2_deploy_new.prototxt
    ./upgrade_net_proto_binary mobilenet_v2.caffemodel mobilenet_v2_new.caffemodel
    
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    4、检查模型配置文件,因为只能一张一张图片预测,所以输入要设置为dim: 1

    name: "MOBILENET_V2"
    layer {
      name: "input"
      type: "Input"
      top: "data"
      input_param {
        shape {
          dim: 1
          dim: 3
          dim: 224
          dim: 224
        }
      }
    }
    
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    5、切换到ncnn的根目录,就是我们上一部分克隆的ncnn源码。

    cd ncnn/
    
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    6、在根目录下编译ncnn源码。

    mkdir -p build
    cd build
    cmake ..
    make -j4
    make install
    
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    7、把新的Caffe模型转换成NCNN模型。

    # 经过上一步,会生产一个tools,我们进入到以下目录
    cd tools/caffe/
    # 把已经升级的网络定义文件和权重文件复制到当目录,并执行以下命令
    ./caffe2ncnn mobilenet_v2_deploy_new.prototxt mobilenet_v2_new.caffemodel mobilenet_v2.param mobilenet_v2.bin
    
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    8、对象模型参数进行加密,这样就算别人反编译我们的apk也用不了我们的模型文件。把上一步获得的mobilenet_v2.parammobilenet_v2.bin复制到该目录的上一个目录,也就是tools目录。

    # 切换到上一个目录
    cd ../
    # 执行命令之后会生成mobilenet_v2.param、mobilenet_v2.id.h、mobilenet_v2.mem.h
    ./ncnn2mem mobilenet_v2.param mobilenet_v2.bin mobilenet_v2.id.h mobilenet_v2.mem.h
    
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    经过上面的步骤,得到的文件中,以下文件时需要的:

    • mobilenet_v2.param.bin 网络的模型参数;
    • mobilenet_v2.bin 网络的权重;
    • mobilenet_v2.id.h 在预测图片的时候使用到。

    开发Android项目

    • 我们在Android Studio上创建一个NCNN1的项目,别忘了选择C++支持。
      这里写图片描述

    其他的可以直接默认就可以了,在这里要注意选择C++11支持。
    这里写图片描述

    • main目录下创建assets目录,并复制以下目录到该目录:

    • mobilenet_v2.param.bin 上一步获取网络的模型参数;

    • mobilenet_v2.bin 上一步获取网络的权重;

    • synset.txt label对应的名称,下载地址:https://github.com/shicai/MobileNet-Caffe/blob/master/synset.txt。

    • cpp目录下复制在使用Ubuntu编译NCNN库部分编译得到的include文件夹,包括里面的C++头文件。

    • mobilenet_v2.id.h复制到cpp目录下。

    • 在main目录下创建jniLibs/armeabi-v7a/目录,并把使用Ubuntu编译NCNN库部分编译得到的libncnn.a复制到该目录。

    • cpp目录下创建一个C++文件,并编写以下代码,这段代码是用于加载模型和预测图片的:

    #include <android/bitmap.h>
    #include <android/log.h>
    #include <jni.h>
    #include <string>
    #include <vector>
    // ncnn
    #include "include/net.h"
    #include "mobilenet_v2.id.h"
    #include <sys/time.h>
    #include <unistd.h>
    
    static ncnn::UnlockedPoolAllocator g_blob_pool_allocator;
    static ncnn::PoolAllocator g_workspace_pool_allocator;
    
    static ncnn::Mat ncnn_param;
    static ncnn::Mat ncnn_bin;
    static ncnn::Net ncnn_net;
    
    
    extern "C" {
    
    // public native boolean Init(byte[] param, byte[] bin, byte[] words);
    JNIEXPORT jboolean JNICALL
    Java_com_example_ncnn1_NcnnJni_Init(JNIEnv *env, jobject thiz, jbyteArray param, jbyteArray bin) {
        // init param
        {
            int len = env->GetArrayLength(param);
            ncnn_param.create(len, (size_t) 1u);
            env->GetByteArrayRegion(param, 0, len, (jbyte *) ncnn_param);
            int ret = ncnn_net.load_param((const unsigned char *) ncnn_param);
            __android_log_print(ANDROID_LOG_DEBUG, "NcnnJni", "load_param %d %d", ret, len);
        }
    
        // init bin
        {
            int len = env->GetArrayLength(bin);
            ncnn_bin.create(len, (size_t) 1u);
            env->GetByteArrayRegion(bin, 0, len, (jbyte *) ncnn_bin);
            int ret = ncnn_net.load_model((const unsigned char *) ncnn_bin);
            __android_log_print(ANDROID_LOG_DEBUG, "NcnnJni", "load_model %d %d", ret, len);
        }
    
        ncnn::Option opt;
        opt.lightmode = true;
        opt.num_threads = 4;
        opt.blob_allocator = &g_blob_pool_allocator;
        opt.workspace_allocator = &g_workspace_pool_allocator;
    
        ncnn::set_default_option(opt);
    
        return JNI_TRUE;
    }
    
    // public native String Detect(Bitmap bitmap);
    JNIEXPORT jfloatArray JNICALL Java_com_example_ncnn1_NcnnJni_Detect(JNIEnv* env, jobject thiz, jobject bitmap)
    {
        // ncnn from bitmap
        ncnn::Mat in;
        {
            AndroidBitmapInfo info;
            AndroidBitmap_getInfo(env, bitmap, &info);
            int width = info.width;
            int height = info.height;
            if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888)
                return NULL;
    
            void* indata;
            AndroidBitmap_lockPixels(env, bitmap, &indata);
            // 把像素转换成data,并指定通道顺序
            in = ncnn::Mat::from_pixels((const unsigned char*)indata, ncnn::Mat::PIXEL_RGBA2BGR, width, height);
    
            AndroidBitmap_unlockPixels(env, bitmap);
        }
    
        // ncnn_net
        std::vector<float> cls_scores;
        {
            // 减去均值和乘上比例
            const float mean_vals[3] = {103.94f, 116.78f, 123.68f};
            const float scale[3] = {0.017f, 0.017f, 0.017f};
    
            in.substract_mean_normalize(mean_vals, scale);
    
            ncnn::Extractor ex = ncnn_net.create_extractor();
            // 如果时不加密是使用ex.input("data", in);
            ex.input(mobilenet_v2_param_id::BLOB_data, in);
    
            ncnn::Mat out;
            // 如果时不加密是使用ex.extract("prob", out);
            ex.extract(mobilenet_v2_param_id::BLOB_prob, out);
    
            int output_size = out.w;
            jfloat *output[output_size];
            for (int j = 0; j < out.w; j++) {
                output[j] = &out[j];
            }
    
            jfloatArray jOutputData = env->NewFloatArray(output_size);
            if (jOutputData == nullptr) return nullptr;
            env->SetFloatArrayRegion(jOutputData, 0, output_size,
                                     reinterpret_cast<const jfloat *>(*output));  // copy
    
            return jOutputData;
        }
    }
    }
    
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    • 在项目包com.example.ncnn1下,修改MainActivity.java中的代码,修改如下:
    package com.example.ncnn1;
    
    import android.Manifest;
    import android.app.Activity;
    import android.content.Intent;
    import android.content.pm.PackageManager;
    import android.content.res.AssetManager;
    import android.graphics.Bitmap;
    import android.graphics.BitmapFactory;
    import android.net.Uri;
    import android.os.Bundle;
    import android.support.annotation.NonNull;
    import android.support.annotation.Nullable;
    import android.support.v4.app.ActivityCompat;
    import android.support.v4.content.ContextCompat;
    import android.text.method.ScrollingMovementMethod;
    import android.util.Log;
    import android.view.View;
    import android.widget.Button;
    import android.widget.ImageView;
    import android.widget.TextView;
    import android.widget.Toast;
    
    import com.bumptech.glide.Glide;
    import com.bumptech.glide.load.engine.DiskCacheStrategy;
    import com.bumptech.glide.request.RequestOptions;
    
    import java.io.BufferedReader;
    import java.io.FileNotFoundException;
    import java.io.IOException;
    import java.io.InputStream;
    import java.io.InputStreamReader;
    import java.util.ArrayList;
    import java.util.Arrays;
    import java.util.List;
    
    
    public class MainActivity extends Activity {
        private static final String TAG = MainActivity.class.getName();
        private static final int USE_PHOTO = 1001;
        private String camera_image_path;
        private ImageView show_image;
        private TextView result_text;
        private boolean load_result = false;
        private int[] ddims = {1, 3, 224, 224};
        private int model_index = 1;
        private List<String> resultLabel = new ArrayList<>();
        private NcnnJni squeezencnn = new NcnnJni();
    
        @Override
        public void onCreate(Bundle savedInstanceState) {
            super.onCreate(savedInstanceState);
            setContentView(R.layout.activity_main);
    
            try {
                initSqueezeNcnn();
            } catch (IOException e) {
                Log.e("MainActivity", "initSqueezeNcnn error");
            }
    
            init_view();
            readCacheLabelFromLocalFile();
        }
    
        private void initSqueezeNcnn() throws IOException {
            byte[] param = null;
            byte[] bin = null;
    
            {
                InputStream assetsInputStream = getAssets().open("mobilenet_v2.param.bin");
                int available = assetsInputStream.available();
                param = new byte[available];
                int byteCode = assetsInputStream.read(param);
                assetsInputStream.close();
            }
            {
                InputStream assetsInputStream = getAssets().open("mobilenet_v2.bin");
                int available = assetsInputStream.available();
                bin = new byte[available];
                int byteCode = assetsInputStream.read(bin);
                assetsInputStream.close();
            }
    
            load_result = squeezencnn.Init(param, bin);
            Log.d("load model", "result:" + load_result);
        }
    
        // initialize view
        private void init_view() {
            request_permissions();
            show_image = (ImageView) findViewById(R.id.show_image);
            result_text = (TextView) findViewById(R.id.result_text);
            result_text.setMovementMethod(ScrollingMovementMethod.getInstance());
            Button use_photo = (Button) findViewById(R.id.use_photo);
    
            // use photo click
            use_photo.setOnClickListener(new View.OnClickListener() {
                @Override
                public void onClick(View view) {
                    if (!load_result) {
                        Toast.makeText(MainActivity.this, "never load model", Toast.LENGTH_SHORT).show();
                        return;
                    }
                    PhotoUtil.use_photo(MainActivity.this, USE_PHOTO);
                }
            });
        }
    
    	// load label's name
        private void readCacheLabelFromLocalFile() {
            try {
                AssetManager assetManager = getApplicationContext().getAssets();
                BufferedReader reader = new BufferedReader(new InputStreamReader(assetManager.open("synset.txt")));
                String readLine = null;
                while ((readLine = reader.readLine()) != null) {
                    resultLabel.add(readLine);
                }
                reader.close();
            } catch (Exception e) {
                Log.e("labelCache", "error " + e);
            }
        }
    
        @Override
        protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) {
            String image_path;
            RequestOptions options = new RequestOptions().skipMemoryCache(true).diskCacheStrategy(DiskCacheStrategy.NONE);
            if (resultCode == Activity.RESULT_OK) {
                switch (requestCode) {
                    case USE_PHOTO:
                        if (data == null) {
                            Log.w(TAG, "user photo data is null");
                            return;
                        }
                        Uri image_uri = data.getData();
                        Glide.with(MainActivity.this).load(image_uri).apply(options).into(show_image);
                        // get image path from uri
                        image_path = PhotoUtil.get_path_from_URI(MainActivity.this, image_uri);
                        // predict image
                        predict_image(image_path);
                        break;
                }
            }
        }
    
        //  predict image
        private void predict_image(String image_path) {
            // picture to float array
            Bitmap bmp = PhotoUtil.getScaleBitmap(image_path);
            Bitmap rgba = bmp.copy(Bitmap.Config.ARGB_8888, true);
    
            // resize to 227x227
            Bitmap input_bmp = Bitmap.createScaledBitmap(rgba, ddims[2], ddims[3], false);
            try {
                // Data format conversion takes too long
                // Log.d("inputData", Arrays.toString(inputData));
                long start = System.currentTimeMillis();
                // get predict result
                float[] result = squeezencnn.Detect(input_bmp);
                long end = System.currentTimeMillis();
                Log.d(TAG, "origin predict result:" + Arrays.toString(result));
                long time = end - start;
                Log.d("result length", String.valueOf(result.length));
                // show predict result and time
                int r = get_max_result(result);
                String show_text = "result:" + r + "
    name:" + resultLabel.get(r) + "
    probability:" + result[r] + "
    time:" + time + "ms";
                result_text.setText(show_text);
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    
        // get max probability label
        private int get_max_result(float[] result) {
            float probability = result[0];
            int r = 0;
            for (int i = 0; i < result.length; i++) {
                if (probability < result[i]) {
                    probability = result[i];
                    r = i;
                }
            }
            return r;
        }
    
        // request permissions
        private void request_permissions() {
    
            List<String> permissionList = new ArrayList<>();
            if (ContextCompat.checkSelfPermission(this, Manifest.permission.CAMERA) != PackageManager.PERMISSION_GRANTED) {
                permissionList.add(Manifest.permission.CAMERA);
            }
    
            if (ContextCompat.checkSelfPermission(this, Manifest.permission.WRITE_EXTERNAL_STORAGE) != PackageManager.PERMISSION_GRANTED) {
                permissionList.add(Manifest.permission.WRITE_EXTERNAL_STORAGE);
            }
    
            if (ContextCompat.checkSelfPermission(this, Manifest.permission.READ_EXTERNAL_STORAGE) != PackageManager.PERMISSION_GRANTED) {
                permissionList.add(Manifest.permission.READ_EXTERNAL_STORAGE);
            }
    
            // if list is not empty will request permissions
            if (!permissionList.isEmpty()) {
                ActivityCompat.requestPermissions(this, permissionList.toArray(new String[permissionList.size()]), 1);
            }
        }
    
        @Override
        public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
            super.onRequestPermissionsResult(requestCode, permissions, grantResults);
            switch (requestCode) {
                case 1:
                    if (grantResults.length > 0) {
                        for (int i = 0; i < grantResults.length; i++) {
    
                            int grantResult = grantResults[i];
                            if (grantResult == PackageManager.PERMISSION_DENIED) {
                                String s = permissions[i];
                                Toast.makeText(this, s + " permission was denied", Toast.LENGTH_SHORT).show();
                            }
                        }
                    }
                    break;
            }
        }
    }
    
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    • 同样在项目的包com.example.ncnn1下,创建一个NcnnJni.java类,用于提供JNI接口,代码如下:
    package com.example.ncnn1;
    
    import android.graphics.Bitmap;
    
    public class NcnnJni
    {
        public native boolean Init(byte[] param, byte[] bin);
    
        public native float[] Detect(Bitmap bitmap);
    
        static {
            System.loadLibrary("ncnn_jni");
        }
    }
    
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    • 还是在项目的包com.example.ncnn1下,创建一个PhotoUtil.java类,这个是图片的工具类,代码如下:
    package com.example.ncnn1;
    
    import android.app.Activity;
    import android.content.Context;
    import android.content.Intent;
    import android.database.Cursor;
    import android.graphics.Bitmap;
    import android.graphics.BitmapFactory;
    import android.net.Uri;
    import android.provider.MediaStore;
    
    import java.nio.FloatBuffer;
    
    public class PhotoUtil {
        // get picture in photo
        public static void use_photo(Activity activity, int requestCode) {
            Intent intent = new Intent(Intent.ACTION_PICK);
            intent.setType("image/*");
            activity.startActivityForResult(intent, requestCode);
        }
    
        // get photo from Uri
        public static String get_path_from_URI(Context context, Uri uri) {
            String result;
            Cursor cursor = context.getContentResolver().query(uri, null, null, null, null);
            if (cursor == null) {
                result = uri.getPath();
            } else {
                cursor.moveToFirst();
                int idx = cursor.getColumnIndex(MediaStore.Images.ImageColumns.DATA);
                result = cursor.getString(idx);
                cursor.close();
            }
            return result;
        }
    
        // compress picture
        public static Bitmap getScaleBitmap(String filePath) {
            BitmapFactory.Options opt = new BitmapFactory.Options();
            opt.inJustDecodeBounds = true;
            BitmapFactory.decodeFile(filePath, opt);
    
            int bmpWidth = opt.outWidth;
            int bmpHeight = opt.outHeight;
    
            int maxSize = 500;
    
            // compress picture with inSampleSize
            opt.inSampleSize = 1;
            while (true) {
                if (bmpWidth / opt.inSampleSize < maxSize || bmpHeight / opt.inSampleSize < maxSize) {
                    break;
                }
                opt.inSampleSize *= 2;
            }
            opt.inJustDecodeBounds = false;
            return BitmapFactory.decodeFile(filePath, opt);
        }
    }
    
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    • 修改启动页面的布局,修改如下:
    <?xml version="1.0" encoding="utf-8"?>
    <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
        xmlns:app="http://schemas.android.com/apk/res-auto"
        xmlns:tools="http://schemas.android.com/tools"
        android:layout_width="match_parent"
        android:layout_height="match_parent"
        tools:context=".MainActivity">
    
        <LinearLayout
            android:id="@+id/btn_ll"
            android:layout_alignParentBottom="true"
            android:layout_width="match_parent"
            android:layout_height="wrap_content"
            android:orientation="horizontal">
    
            <Button
                android:id="@+id/use_photo"
                android:layout_weight="1"
                android:layout_width="0dp"
                android:layout_height="wrap_content"
                android:text="相册" />
    
        </LinearLayout>
    
        <TextView
            android:layout_above="@id/btn_ll"
            android:id="@+id/result_text"
            android:textSize="16sp"
            android:layout_width="match_parent"
            android:hint="预测结果会在这里显示"
            android:layout_height="100dp" />
    
        <ImageView
            android:layout_alignParentTop="true"
            android:layout_above="@id/result_text"
            android:id="@+id/show_image"
            android:layout_width="match_parent"
            android:layout_height="match_parent" />
    
    </RelativeLayout>
    
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    • 修改APP目录下的CMakeLists.txt文件,修改如下:
    # For more information about using CMake with Android Studio, read the
    # documentation: https://d.android.com/studio/projects/add-native-code.html
    
    # Sets the minimum version of CMake required to build the native library.
    
    cmake_minimum_required(VERSION 3.4.1)
    
    # Creates and names a library, sets it as either STATIC
    # or SHARED, and provides the relative paths to its source code.
    # You can define multiple libraries, and CMake builds them for you.
    # Gradle automatically packages shared libraries with your APK.
    
    set(ncnn_lib ${CMAKE_SOURCE_DIR}/src/main/jniLibs/armeabi-v7a/libncnn.a)
    add_library (ncnn_lib STATIC IMPORTED)
    set_target_properties(ncnn_lib PROPERTIES IMPORTED_LOCATION ${ncnn_lib})
    
    
    add_library( # Sets the name of the library.
                 ncnn_jni
    
                 # Sets the library as a shared library.
                 SHARED
    
                 # Provides a relative path to your source file(s).
                 src/main/cpp/ncnn_jni.cpp )
    
    # Searches for a specified prebuilt library and stores the path as a
    # variable. Because CMake includes system libraries in the search path by
    # default, you only need to specify the name of the public NDK library
    # you want to add. CMake verifies that the library exists before
    # completing its build.
    
    find_library( # Sets the name of the path variable.
                  log-lib
    
                  # Specifies the name of the NDK library that
                  # you want CMake to locate.
                  log )
    
    # Specifies libraries CMake should link to your target library. You
    # can link multiple libraries, such as libraries you define in this
    # build script, prebuilt third-party libraries, or system libraries.
    
    target_link_libraries( # Specifies the target library.
                           ncnn_jni
                           ncnn_lib
                           jnigraphics
    
                           # Links the target library to the log library
                           # included in the NDK.
                           ${log-lib} )
    
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    • 修改APP目录下的build.gradle文件,修改如下:
    apply plugin: 'com.android.application'
    
    android {
        compileSdkVersion 28
        defaultConfig {
            applicationId "com.example.ncnn1"
            minSdkVersion 21
            targetSdkVersion 28
            versionCode 1
            versionName "1.0"
            testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
            externalNativeBuild {
                cmake {
                    cppFlags "-std=c++11 -fopenmp"
                    abiFilters "armeabi-v7a"
                }
            }
        }
        buildTypes {
            release {
                minifyEnabled false
                proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
            }
        }
        externalNativeBuild {
            cmake {
                path "CMakeLists.txt"
            }
        }
    
        sourceSets {
            main {
                jniLibs.srcDirs = ["src/main/jniLibs"]
                jni.srcDirs = ['src/cpp']
            }
        }
    }
    
    dependencies {
        implementation fileTree(dir: 'libs', include: ['*.jar'])
        implementation 'com.android.support:appcompat-v7:28.0.0-rc02'
        implementation 'com.android.support.constraint:constraint-layout:1.1.3'
        testImplementation 'junit:junit:4.12'
        implementation 'com.github.bumptech.glide:glide:4.3.1'
        androidTestImplementation 'com.android.support.test:runner:1.0.2'
        androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2'
    }
    
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    • 最后别忘了在配置文件中添加权限。
    <uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
    <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
    
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    最后的效果图如下:
    在这里插入图片描述

    代码传送门: 上面已经几乎包括所有的代码了,为了读者方便直接使用,可以在https://resource.doiduoyi.com/#q0guggi项目源代码。

    参考资料

      1. https://github.com/BVLC/caffe
      2. https://github.com/Tencent/ncnn/wiki/how-to-use-ncnn-with-alexnet
      3. https://github.com/Tencent/ncnn/wiki/how-to-build
      4. https://github.com/Tencent/ncnn/tree/master/examples/squeezencnn
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  • 原文地址:https://www.cnblogs.com/shuimuqingyang/p/13962653.html
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