android opencv NDK人脸识别和对比

}

env->ReleaseStringUTFChars(name, filePath);

return 0;

}

人脸对比

/**

*人脸对比

extern “C”

JNIEXPORT jdouble JNICALL

Java_com_hxg_ndkface_FaceDetection_histogramMatch(JNIEnv *env, jobject instance, jobject bitmap1,

jobject bitmap2) {

//1.Bitmap转成opencv能操作的C++对象Mat

Mat mat, mat1;

bitmap2Mat(env, mat, bitmap1);

bitmap2Mat(env, mat1, bitmap2);

// 转灰度矩阵

cvtColor(mat, mat, COLOR_BGR2HSV);

cvtColor(mat1, mat1, COLOR_BGR2HSV);

int channels[] = {0, 1};

int histsize[] = {180, 255};

float r1[] = {0, 180};

float r2[] = {0, 255};

const float *ranges[] = {r1, r2};

Mat hist1, hist2;

calcHist(&mat, 3, channels, Mat(), hist1, 2, histsize, ranges, true);

//https://www.cnblogs.com/bjxqmy/p/12292421.html

normalize(hist1, hist1, 1, 0, NORM_L1);

calcHist(&mat1, 3, channels, Mat(), hist2, 2, histsize, ranges, true);

normalize(hist2, hist2, 1, 0, NORM_L1);

double similarity = compareHist(hist1, hist2, HISTCMP_CORREL);

__android_log_print(ANDROID_LOG_ERROR, “TTTTT”, “相识度：%f”, similarity);

return similarity;

}

Dnn模式的人脸识别，并抠图

private void copyCaseCadeFilePbtxt() {

InputStream is = null;

FileOutputStream os = null;

try {

// load cascade file from application resources

is = getResources().openRawResource(R.raw.opencv_face_detector);

File cascadeDir = getDir(“cascade”, Context.MODE_PRIVATE);

mCascadeFile = new File(cascadeDir, “opencv_face_detector.pbtxt”);

if (mCascadeFile.exists()) return;

os = new FileOutputStream(mCascadeFile);

byte[] buffer = new byte[1024 * 1024];

int bytesRead;

while ((bytesRead = is.read(buffer)) != -1) {

os.write(buffer, 0, bytesRead);

}

is.close();

os.close();

} catch (IOException e) {

e.printStackTrace();

} finally {

try {

if (is != null) {

is.close();

}

if (os != null) {

os.close();

}

} catch (IOException e) {

e.printStackTrace();

}

private void copyCaseCadeFileUint8() {

InputStream is = null;

FileOutputStream os = null;

try {

// load cascade file from application resources

is = getResources().openRawResource(R.raw.opencv_face_detector_uint8);

File cascadeDir = getDir(“cascade”, Context.MODE_PRIVATE);

mCascadeFile = new File(cascadeDir, “opencv_face_detector_uint8.pb”);

if (mCascadeFile.exists()) return;

os = new FileOutputStream(mCascadeFile);

byte[] buffer = new byte[1024 * 1024];

int bytesRead;

while ((bytesRead = is.read(buffer)) != -1) {

os.write(buffer, 0, bytesRead);

}

is.close();

os.close();

} catch (IOException e) {

e.printStackTrace();

} finally {

try {

if (is != null) {

is.close();

}

if (os != null) {

os.close();

}

} catch (IOException e) {

e.printStackTrace();

}

/**

*Dnn模式的人脸识别，并抠图

extern “C”

JNIEXPORT jboolean JNICALL

Java_com_hxg_ndkface_FaceDetection_faceDnnDetection(JNIEnv *env, jobject instance,

jstring model_binary,

jstring model_desc,

jstring checkPath,

jstring resultPath) {

const char *model_binary_path = env->GetStringUTFChars(model_binary, 0);

const char *model_desc_path = env->GetStringUTFChars(model_desc, 0);

const char *check_path = env->GetStringUTFChars(checkPath, 0);

const char *result_path = env->GetStringUTFChars(resultPath, 0);

Net net = readNetFromTensorflow(model_binary_path, model_desc_path);

net.setPreferableBackend(DNN_BACKEND_OPENCV);

net.setPreferableTarget(DNN_TARGET_CPU);

if (net.empty()) {

__android_log_print(ANDROID_LOG_ERROR, “TTTTT”, “%s”, “could not load net…”);

return false;

}

Mat frame = imread(check_path); //读入检测文件

__android_log_print(ANDROID_LOG_ERROR, “TTTTT”, “%s”, “输入数据调整”);

// 输入数据调整

Mat inputBlob = blobFromImage(frame, 1.0,

Size(300, 300), Scalar(104.0, 177.0, 123.0), false, false);

net.setInput(inputBlob, “data”);

// 人脸检测

Mat detection = net.forward(“detection_out”);

Mat detectionMat(detection.size[2], detection.size[3], CV_32F, detection.ptr());

Mat face_area;

for (int i = 0; i < detectionMat.rows; i++) {

// 置信度 0～1之间

float confidence = detectionMat.at(i, 2);

if (confidence > 0.7) {

//count++;

int xLeftBottom = static_cast(detectionMat.at(i, 3) * frame.cols);

int yLeftBottom = static_cast(detectionMat.at(i, 4) * frame.rows);

int xRightTop = static_cast(detectionMat.at(i, 5) * frame.cols);

int yRightTop = static_cast(detectionMat.at(i, 6) * frame.rows);

Rect object((int) xLeftBottom, (int) yLeftBottom,

(int) (xRightTop - xLeftBottom),

(int) (yRightTop - yLeftBottom));

face_area = frame(object); //扣出图片

rectangle(frame, object, Scalar(0, 255, 0)); //画框

}

imwrite(result_path, face_area); //写出文件

env->ReleaseStringUTFChars(model_binary, model_binary_path);

env->ReleaseStringUTFChars(model_desc, model_desc_path);

env->ReleaseStringUTFChars(checkPath, check_path);

env->Rel Android开源项目《ali1024.coding.net/public/P7/Android/git》 easeStringUTFChars(resultPath, result_path);

return true;

}

Bitmap和Mat互转

/**

Bitmap转成op 《Android学习笔记总结+最新移动架构视频+大厂安卓面试真题+项目实战源码讲义》开源 encv能操作的C++对象Mat
@param env
@param mat
@param bitmap

void bitmap2Mat(JNIEnv *env, Mat &mat, jobject bitmap) {

//Mat 里面有个type ：CV_8UC4刚好对上我们的Bitmap中的ARGB_8888 , CV_8UC2对应Bitmap中的RGB_555

//获取 bitmap 信息

AndroidBitmapInfo info;

void *pixels;

try {

// AndroidBitmap_getInfo(env, bitmap, &info);

//锁定Bitmap画布

// AndroidBitmap_lockPixels(env, bitmap, &pixels);

CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);

CV_Assert(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888 ||

info.format == ANDROID_BITMAP_FORMAT_RGB_565);

CV_Assert(AndroidBitmap_lockPixels(env, bitmap, &pixels) >= 0);

CV_Assert(pixels);

//指定mat的宽高type BGRA

mat.create(info.height, info.width, CV_8UC4);

if (info.format == ANDROID_BITMAP_FORMAT_RGBA_8888) {

//对应mat应该是CV_8UC4

Mat temp(info.height, info.width, CV_8UC4, pixels);

//把数据temp复制到mat里面

temp.copyTo(mat);

} else if (info.format == ANDROID_BITMAP_FORMAT_RGB_565) {

//对应mat应该是CV_8UC2

Mat temp(info.height, info.width, CV_8UC2, pixels);

//mat 是CV_8UC4 ，CV_8UC2 > CV_8UC4

cvtColor(temp, mat, COLOR_BGR5652BGRA);

}

//解锁Bitmap画布

AndroidBitmap_unlockPixels(env, bitmap);

return;

} catch (Exception &e) {

AndroidBitmap_unlockPixels(env, bitmap);

jclass je = env->FindClass(“java/lang/Exception”);

env->ThrowNew(je, e.what());

return;

} catch (…) {

AndroidBitmap_unlockPixels(env, bitmap);

jclass je = env->FindClass(“java/lang/Exception”);

env->ThrowNew(je, “Unknown exception in JNI code {nBitmapToMat}”);

return;

}

/**

把mat转成bitmap
@param env
@param mat
@param bitmap

void mat2Bitmap(JNIEnv *env, Mat mat, jobject bitmap) {

//Mat 里面有个type ：CV_8UC4刚好对上我们的Bitmap中的ARGB_8888 , CV_8UC2对应Bitmap中的RGB_555

//获取 bitmap 信息

AndroidBitmapInfo info;

void *pixels;

try {

// AndroidBitmap_getInfo(env, bitmap, &info);

//锁定Bitmap画布

// AndroidBitmap_lockPixels(env, bitmap, &pixels);

CV_Assert(AndroidBitmap_getInfo(env, bitmap, &info) >= 0);

CV_Assert(info.format == ANDROID_BITMAP_FORMAT_RGBA_8888 ||

info.format == ANDROID_BITMAP_FORMAT_RGB_565);

CV_Assert(mat.dims == 2 && info.height == (uint32_t) mat.rows &&

info.width == (uint32_t) mat.cols);

CV_Assert(mat.type() == CV_8UC1 || mat.type() == CV_8UC3 || mat.type() == CV_8UC4);

CV_Assert(AndroidBitmap_lockPixels(env, bitmap, &pixels) >= 0);

CV_Assert(pixels);

if (info.format == ANDROID_BITMAP_FORMAT_RGBA_8888) {

//对应mat应该是CV_8UC4

Mat temp(info.height, info.width, CV_8UC4, pixels);

if (mat.type() == CV_8UC4) {

mat.copyTo(temp);

} else if (mat.type() == CV_8UC2) {

cvtColor(mat, temp, COLOR_BGR5652BGRA);

} else if (mat.type() == CV_8UC1) {//灰度mat

cvtColor(mat, temp, COLOR_GRAY2BGRA);

} else if (mat.type() == CV_8UC3) {

cvtColor(mat, temp, COLOR_RGB2BGRA);

}

} else if (info.format == ANDROID_BITMAP_FORMAT_RGB_565) {

//对应mat应该是CV_8UC2

Mat temp(info.height, info.width, CV_8UC2, pixels);

if (mat.type() == CV_8UC4) {

cvtColor(mat, temp, COLOR_BGRA2BGR565);

} else if (mat.type() == CV_8UC2) {

mat.copyTo(temp);

} else if (mat.type() == CV_8UC1) {//灰度mat

cvtColor(mat, temp, COLOR_GRAY2BGR565);

} else if (mat.type() == CV_8UC3) {

cvtColor(mat, temp, COLOR_RGB2BGR565);

}

//解锁Bitmap画布

AndroidBitmap_unlockPixels(env, bitmap);

return;

} catch (const Exception &e) {

AndroidBitmap_unlockPixels(env, bitmap);

jclass je = env->FindClass(“java/lang/Exception”);

env->ThrowNew(je, e.what());

return;

} catch (…) {

AndroidBitmap_unlockPixels(env, bitmap);

jclass je = env->FindClass(“java/lang/Exception”);

env->ThrowNew(je, “Unknown exception in JNI code {nMatToBitmap}”);

return;

}

人脸检测Activity

package com.hxg.ndkface;

import android.Manifest;

import android.annotation.SuppressLint;

import android.content.Context;

import android.graphics.Bitmap;

import android.graphics.BitmapFactory;

import android.hardware.Camera;

import android.os.Bundle;

import androidx.appcompat.app.AppCompatActivity;

import androidx.appcompat.widget.AppCompatImageView;

import androidx.appcompat.widget.AppCompatTextView;

import androidx.arch.core.executor.ArchTaskExecutor;

import com.hxg.ndkface.camera.AutoTexturePreviewView;

import com.hxg.ndkface.manager.CameraPreviewManager;

import com.hxg.ndkface.model.SingleBaseConfig;

import com.hxg.ndkface.utils.CornerUtil;

import com.hxg.ndkface.utils.FileUtils;

import com.tbruyelle.rxpermissions3.RxPermissions;

import java.io.File;

import java.io.FileOutputStream;

import java.io.IOException;

import java.io.InputStream;

public class MainNorFaceActivity extends AppCompatActivity {

private Bitmap mFaceBitmap;

private FaceDetection mFaceDetection;

private File mCascadeFile;

private AppCompatTextView mTextView;

private RxPermissions rxPermissions;

private AutoTexturePreviewView mAutoCameraPreviewView;

// 图片越大，性能消耗越大，也可以选择640480， 1280720

private static final int PREFER_WIDTH = SingleBaseConfig.getBaseConfig().getRgbAndNirWidth();

private static final int PERFER_HEIGH = SingleBaseConfig.getBaseConfig().getRgbAndNirHeight();

@Override

public void onDetachedFromWindow() {

super.onDetachedFromWindow();

CameraPreviewManager.getInstance().stopPreview();

}

@Override

protected void onCreate(Bundle savedInstanceState) {

super.onCreate(savedInstanceState);

setContentView(R.layout.activity_main);

rxPermissions = new RxPermissions(this);

mTextView = findViewById(R.id.note);

mAutoCameraPreviewView = findViewById(R.id.auto_camera_preview_view);

mFaceBitmap = BitmapFactory.decodeResource(getResources(), R.drawable.face);

copyCaseCadeFile();

mFaceDetection = new FaceDetection();

mFaceDetection.loadCascade(mCascadeFile.getAbsolutePath());

}

/**

加载人脸识别的分类器文件

private void copyCaseCadeFile() {

try {

// load cascade file from application resources

InputStream is = getResources().openRawResource(R.raw.lbpcascade_frontalface);

File cascadeDir = getDir(“cascade”, Context.MODE_PRIVATE);

mCascadeFile = new File(cascadeDir, “lbpcascade_frontalface.xml”);

if (mCascadeFile.exists()) return;

FileOutputStream os = new FileOutputStream(mCascadeFile);

byte[] buffer = new byte[4096];

int bytesRead;

while ((bytesRead = is.read(buffer)) != -1) {

os.write(buffer, 0, bytesRead);

}

is.close();

os.close();

} catch (IOException e) {

e.printStackTrace();

}

@Override

public void onAttachedToWindow() {

super.onAttachedToWindow();

CornerUtil.clipViewCircle(mAutoCameraPreviewView);

rxPermissions.request(

Manifest.permission.WRITE_EXTERNAL_STORAGE,

Manifest.permission.READ_EXTERNAL_STORAGE,

Manifest.permission.CAMERA)

.subscribe(aBoolean -> {

startTestOpenDebugRegisterFunction();

});

}

@SuppressLint(“RestrictedApi”)

private void startTestOpenDebugRegisterFunction() {

CameraPreviewManager.getInstance().setCameraFacing(CameraPreviewManager.CAMERA_FACING_FRONT);

CameraPreviewManager.getInstance().startPreview(this, mAutoCameraPreviewView,

PREFER_WIDTH, PERFER_HEIGH, (byte[] data, Camera camera, int width, int height) -> {

//识别人脸，保存人脸特征信息

// String name = FileUtils.createFile(this) + “/test.png”;

// int type = mFaceDetection.faceDetectionSaveInfo(name, mFaceBitmap);

ArchTaskExecutor.getIOThreadExecutor().execute(() -> {

Bitmap bitmap = FileUtils.decodeToBitMap(data, camera);

boolean haveFace = mFaceDetection.faceDetection(bitmap);

runOnUiThread(() -> {

((AppCompatImageView) findViewById(R.id.tv_img)).setImageBitmap(bitmap);

});

if (haveFace) {

double similarity = mFaceDetection.histogramMatch(mFaceBitmap, bitmap);

String str = “对比度：”;

runOnUiThread(() -> {

mTextView.setText(str + similarity);

});

}

});

}

如果你进阶的路上缺乏方向，可以加入我们的圈子和安卓开发者们一起学习交流！

Android进阶学习全套手册
Android对标阿里P7学习视频
BATJ大厂Android高频面试题

最后，借用我最喜欢的乔布斯语录，作为本文的结尾：

人这一辈子没法做太多的事情，所以每一件都要做得精彩绝伦。
你的时间有限，所以不要为别人而活。不要被教条所限，不要活在别人的观念里。不要让别人的意见左右自己内心的声音。
最重要的是，勇敢的去追随自己的心灵和直觉，只有自己的心灵和直觉才知道你自己的真实想法，其他一切都是次要。
{

Bitmap bitmap = FileUtils.decodeToBitMap(data, camera);

boolean haveFace = mFaceDetection.faceDetection(bitmap);

runOnUiThread(() -> {

((AppCompatImageView) findViewById(R.id.tv_img)).setImageBitmap(bitmap);

});

if (haveFace) {

double similarity = mFaceDetection.histogramMatch(mFaceBitmap, bitmap);

String str = “对比度：”;

runOnUiThread(() -> {

mTextView.setText(str + similarity);

});

}

});

}

如果你进阶的路上缺乏方向，可以加入我们的圈子和安卓开发者们一起学习交流！

Android进阶学习全套手册

[外链图片转存中…(img-KAwxGl2y-1650260062463)]
Android对标阿里P7学习视频

[外链图片转存中…(img-rlhheYSe-1650260062464)]
BATJ大厂Android高频面试题

[外链图片转存中…(img-oGYFTJqY-1650260062464)]

最后，借用我最喜欢的乔布斯语录，作为本文的结尾：

人这一辈子没法做太多的事情，所以每一件都要做得精彩绝伦。
你的时间有限，所以不要为别人而活。不要被教条所限，不要活在别人的观念里。不要让别人的意见左右自己内心的声音。
最重要的是，勇敢的去追随自己的心灵和直觉，只有自己的心灵和直觉才知道你自己的真实想法，其他一切都是次要。

android opencv NDK人脸识别和对比相关推荐

android opencv单机版人脸识别+比对
原理: 通过android 系统自带的谷歌人脸识别获取响应的图片,保存在本地,然后跟先前的照片作比较,相似度大于0.8可以算为同一个人 java 部分代码: public class FaceRecA ...
Android离线人脸识别方案对比
Android 离线人脸识别方案对比总结文章目录 Android 离线人脸识别方案对比总结百度.腾讯.阿里.Face++.商汤等人脸识别虹软人脸识别 OpenCV 人脸识别中科视拓(Seeta ...
android ndk人脸识别,NDK开发-实现支付宝人脸识别功能
1.下载首先先去官网 https://opencv.org/opencv-3-2.html 下载 Android SDK: sourceforge ,下载下来以后我们的开发方式目前有两种:一种是基于 ...
Android之OpenCv简单人脸识别功能（Bitmap）
Android之OpenCv简单人脸识别功能 OpenCv的下载下载地址 - https://opencv.org/releases/ doc 文档目录 samples 示例代码 sdk 编译后的动 ...
基于Android端的照片比对系统,基于Android系统的人脸识别系统
[文章摘要] 当前随着基于Android系统的移动终端设备的广泛应用,以及图像采集设备的普遍集成,使得Android系统的图像采集设备除了具有照相.摄像功能以外,正在扩展新的实用型功能.其中,利用An ...
人脸识别4：Android InsightFace实现人脸识别Face Recognition(含源码)
人脸识别4:Android InsightFace实现人脸识别Face Recognition(含源码) 目录人脸识别4:Android InsightFace实现人脸识别Face Recognit ...
Java借助OpenCV实现人脸识别登录完整示例
Java借助OpenCV实现人脸识别登录完整示例 OpenCV 效果预览概述下载与安装目录说明 OpenCV的基本使用项目集成图片人脸检测人脸对比相似度识别视频中的人脸摄像头识别人脸 ...
Android园区部队人脸识别源码门禁项目讲解
Android园区部队人脸识别源码门禁项目讲解这边搞人脸识别相关项目有一段时间,今天抽时间讲述一个经典的人脸识别项目:部队人脸识别门禁系统. 大家都知道部队对人员管理安全要求是相当高的,很多保密的技 ...
怎样使用OpenCV进行人脸识别
不断维护的地址:http://plzcoding.com/face-recognition-with-opencv/ 怎样使用OpenCV进行人脸识别本文大部分来自OpenCV官网上的Face Re ...

android opencv NDK人脸识别和对比

android opencv NDK人脸识别和对比相关推荐

最新文章

热门文章