JavaCV實現(xiàn)圖片中人臉檢測的示例代碼
更新時間：2022年11月09日 09:02:47 作者：洛陽泰山
這篇文章主要介紹了如何利用JavaCV實現(xiàn)圖片中人臉檢測的功能，文中的示例代碼講解詳細(xì)，具有一定的借鑒價值，感興趣的可以了解一下
前言
今天微信群里聊天，群友問道有沒有能讓人臉露牙齒的接口，我記得想百度阿里的都應(yīng)該有類似人臉識別，分析、融合的api,但是我百度了一下，確實沒有找到，可能他們提供的都是最基礎(chǔ)的接口，如果想實現(xiàn)自己的想要的某種效果，比如人臉微笑，露牙等，還需要自己開發(fā)。想這樣讓一張沒有露牙的圖片，變成露牙的照片，第一步肯能是先要再圖片上檢測到人臉，其次是嘴巴，然后再用算法合成到圖像嘴邊的位置。于是再網(wǎng)站搜搜，發(fā)現(xiàn)java 有人臉檢測和識別的功能，于是想研究一下，百度很多，發(fā)現(xiàn)用java實現(xiàn)的檢測和識別的代碼都是1-2年前，代碼比較老舊，文字太少，沒說清楚，于是經(jīng)過自己一下午的研究，終于搞出來了，分享給大家。
一、javaCV是什么
javaCV是多種開源計算機視覺庫組成的包裝庫。 JavaCV [1] 是一款基于JavaCPP [2] 調(diào)用方式（JNI的一層封裝），由多種開源計算機視覺庫組成的包裝庫，封裝了包含F(xiàn)Fmpeg、OpenCV、tensorflow、caffe、tesseract、libdc1394、OpenKinect、videoInput和ARToolKitPlus等在內(nèi)的計算機視覺領(lǐng)域的常用庫和實用程序類。 JavaCV基于Apache License Version 2.0協(xié)議和GPLv2兩種協(xié)議 [3] ， JavaCV支持Windows、Linux、MacOS，Android、IOS在內(nèi)的Java平臺上調(diào)用這些接口。
二、使用步驟
1.引入庫
maven只引入jar依賴
<!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platform -->
<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacv-platform</artifactId>
<version>1.5.5</version>
</dependency>
2.代碼教程
代碼如下：
import org.bytedeco.javacv.Frame;
import org.bytedeco.javacv.Java2DFrameConverter;
import org.bytedeco.javacv.OpenCVFrameConverter;
import org.bytedeco.opencv.opencv_core.*;
import org.bytedeco.opencv.opencv_objdetect.CascadeClassifier;
import javax.imageio.ImageIO;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import static org.bytedeco.opencv.global.opencv_imgproc.*;
/**
* @author tarzan
*/
public class FaceDemo {
public static void main(String[] args) throws IOException {
faceDetection("C:\\Users\\Lenovo\\Desktop\\faceImg\\msk.png");
}
/**
* 人臉檢測
*
* @param filePath 圖片路徑
*/
public static void faceDetection(String filePath) throws IOException {
// 讀取opencv人臉檢測器
CascadeClassifier cascade = new CascadeClassifier("E:\\work_space\\reptile\\src\\main\\resources\\lbpcascade_frontalface.xml");
File file=new File(filePath);
BufferedImage image = ImageIO.read(file);
Java2DFrameConverter imageConverter = new Java2DFrameConverter();
Frame frame = imageConverter.convert(image);
//類型轉(zhuǎn)換
OpenCVFrameConverter.ToMat converter = new OpenCVFrameConverter.ToMat();
Mat original = converter.convertToMat(frame);
//存放灰度圖
Mat grayImg = new Mat();
//模式設(shè)置成ImageMode.Gray下不需要再做灰度 攝像頭獲取的是彩色圖像，所以先灰度化下
cvtColor(original, grayImg, COLOR_BGRA2GRAY);
// 均衡化直方圖
equalizeHist(grayImg, grayImg);
// 檢測到的人臉
RectVector faces = new RectVector();
//多人臉檢測
cascade.detectMultiScale(grayImg, faces);
// 遍歷人臉
for (int i = 0; i < faces.size(); i++) {
Rect face_i = faces.get(i);
//繪制人臉矩形區(qū)域，scalar色彩順序：BGR(藍綠紅)
rectangle(original, face_i, new Scalar(0, 255, 0, 1));
int pos_x = Math.max(face_i.tl().x() - 10, 0);
int pos_y = Math.max(face_i.tl().y() - 10, 0);
// 在人臉矩形上方繪制提示文字（中文會亂碼）
putText(original, "people face", new Point(pos_x, pos_y), FONT_HERSHEY_COMPLEX, 1.0, new Scalar(0, 0, 255, 2.0));
}
frame = converter.convert(original);
image = imageConverter.convert(frame);
String fileName=file.getName();
String extension=fileName.substring(fileName.lastIndexOf(".")+1);
String newFileName=fileName.substring(0,fileName.lastIndexOf("."))+"_result."+extension;
ImageIO.write(image, extension, new File(file.getParent()+File.separator+newFileName));
}
}lbpcascade_frontalface.xml 文件內(nèi)容
<?xml version="1.0"?>
<!--
number of positive samples 3000
number of negative samples 1500
-->
<opencv_storage>
<cascade type_id="opencv-cascade-classifier">
<stageType>BOOST</stageType>
<featureType>LBP</featureType>
<height>24</height>
<width>24</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>0.9950000047683716</minHitRate>
<maxFalseAlarm>0.5000000000000000</maxFalseAlarm>
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<maxDepth>1</maxDepth>
<maxWeakCount>100</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>256</maxCatCount></featureParams>
<stageNum>20</stageNum>
<stages>
<!-- stage 0 -->
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<stageThreshold>-0.7520892024040222</stageThreshold>
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</opencv_storage>總結(jié)
javaCV功能實在是太強大了，這些只是其中的很小一部分功能，還有很多好用的功能，等待被你使用
以上就是JavaCV實現(xiàn)圖片中人臉檢測的示例代碼的詳細(xì)內(nèi)容，更多關(guān)于JavaCV圖片人臉檢測的資料請關(guān)注腳本之家其它相關(guān)文章！
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