基于Android studio3.6的JNI教程之ncnn人脸检测mtcnn功能

cd mtcnn_linux/build
cmake ..
make
./mtcnn

<?xml version="1.0" encoding="utf-8"?>
<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
 android:orientation="vertical"
 android:layout_width="fill_parent"
 android:layout_height="fill_parent">
 
 <LinearLayout
  android:orientation="horizontal"
  android:layout_width="fill_parent"
  android:layout_height="wrap_content">
  <Button
   android:id="@+id/buttonImage"
   android:layout_width="wrap_content"
   android:layout_height="wrap_content"
   android:text="选图" />
  <Button
   android:id="@+id/buttonDetect"
   android:layout_width="wrap_content"
   android:layout_height="wrap_content"
   android:text="检测" />
 
 </LinearLayout>
 
 <TextView
  android:id="@+id/infoResult"
  android:layout_width="fill_parent"
  android:layout_height="wrap_content"
  android:text="" />
 <ImageView
  android:id="@+id/imageView"
  android:layout_width="fill_parent"
  android:layout_height="fill_parent"
  android:layout_weight="1" />
</LinearLayout>

package com.example.mtcnn;
 
public class MTCNN {
 //人脸检测模型导入
 public native boolean FaceDetectionModelInit(byte[] det1_param, byte[] det1_bin, byte[] det2_param,byte[] det2_bin,byte[] det3_param,byte[] det3_bin);
 //人脸检测
 public native int[] FaceDetect(byte[] imageDate, int imageWidth , int imageHeight, int imageChannel);
 
 public native int[] MaxFaceDetect(byte[] imageDate, int imageWidth , int imageHeight, int imageChannel);
 //人脸检测模型反初始化
 public native boolean FaceDetectionModelUnInit();
 //检测的最小人脸设置
 public native boolean SetMinFaceSize(int minSize);
 //线程设置
 public native boolean SetThreadsNumber(int threadsNumber);
 //循环测试次数
 public native boolean SetTimeCount(int timeCount);
 static {
  System.loadLibrary("mtcnn");
 }
}

ex.input("data", in);
ncnn::Mat score_, location_;
ex.extract("prob1", score_);
ex.extract("conv4-2", location_);

ex.input(det1_param_id::BLOB_data, in);
ncnn::Mat score_, location_;
ex.extract(det1_param_id::BLOB_prob1, score_);
ex.extract(det1_param_id::BLOB_conv4_2, location_);

cmake_minimum_required(VERSION 3.4.1)
 
#include头文件目录
include_directories(include)
#source directory源文件目录
file(GLOB MTCNN_SRC *.h
     *.cpp)
set(MTCNN_COMPILE_CODE ${MTCNN_SRC})
#添加ncnn库
add_library(libncnn STATIC IMPORTED )
set_target_properties(libncnn
 PROPERTIES IMPORTED_LOCATION
  ${CMAKE_SOURCE_DIR}/../jniLibs/${ANDROID_ABI}/libncnn.a)
#编译为动态库
add_library(mtcnn SHARED ${MTCNN_COMPILE_CODE})
#添加工程所依赖的库
find_library( log-lib log )
target_link_libraries( mtcnn
      libncnn
      android
      jnigraphics
      z
      ${log-lib} )

externalNativeBuild {
   cmake {
    arguments "-DANDROID_TOOLCHAIN=clang"
    cFlags "-fopenmp -O2 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math "
    cppFlags "-fopenmp -O2 -fvisibility=hidden -fvisibility-inlines-hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math "
    arguments "-DANDROID_STL=c++_shared", "-DANDROID_CPP_FEATURES=rtti exceptions"
    cppFlags ""
    cppFlags "-std=c++11"
    cppFlags "-frtti"
    cppFlags "-fexceptions"
   }
  }
  ndk {
   abiFilters 'armeabi-v7a'// , 'arm64-v8a' //,'x86', 'x86_64', 'armeabi'
   stl "gnustl_static"
  }