openCv+Java实现人脸剪切

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我是靠谱客的博主仁爱月饼，最近开发中收集的这篇文章主要介绍openCv+Java实现人脸剪切，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

学习需要，对手里人脸图片进行了剪切，将人脸图像铺满整张图片

FaceCrop.java

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;
//
//检测输入图像中的人脸，将最大的脸保存到指定的输出文件中
//
public class FaceCrop {
public static double calcArea(Rect rect)
{
return rect.width*rect.height;
}
public static String xmlfilePath="lbpcascade_frontalface.xml";
public static void faceCrop(String inputImageFilename,String outputImageFilename)
{
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
Mat image = Highgui.imread(inputImageFilename);
// 检测人脸.
// MatOfRect 是矩形容器.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
//System.out.println(String.format("检测到%s张脸", faceDetections.toArray().length));
// 找出最大的1张脸
Rect maxRect=new Rect(0,0,0,0);
for (Rect rect : faceDetections.toArray())
{
if(calcArea(maxRect)<calcArea(rect))
{
maxRect=rect;
}
//给脸上面画矩形
//Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
if(calcArea(maxRect)>0){
//创建人脸拷贝区域
Mat roi_img = new Mat(image,maxRect);
//创建临时的人脸拷贝图形
Mat tmp_img = new Mat();
//人脸拷贝
roi_img.copyTo(tmp_img);
// 保存最大的1张脸
Highgui.imwrite(outputImageFilename, tmp_img);
}
}
}

FileSelect.java

import java.io.File;
/*
* 用于检查裁剪后的人脸个数是否符合要求
* 1.少于指定书目则进行删除
* 2.删除内容包含该文件夹
*/
public class FileSelect {
public static int getFileCount(String path){
System.out.print(path);
File file = new File(path);
File files[] = file.listFiles();
System.out.println("
1
");
System.out.println(":"+files.length);
return files.length;
}
public static void DeleteDir(String path){
File file = new File(path);
File files[] = file.listFiles();
for(File f : files){
f.delete();
}
file.delete();
}
//J:STUTest1131002
public static void getAllFileName(String path){
File file = new File(path);
File files[] = file.listFiles();
for(File f : files){
System.out.println(f.getPath());
}
}
}

TestMain.java

import java.io.File;
import org.opencv.core.Core;
public class TestMain {
static int i=0;
public static void main(String[] args) {
//faceCrop();
testDeleteFile();
}
public static void testDeleteFile() {
String path = "J:\STU\STU_CROP"; //要操作的文件夹
File files[] = new File(path).listFiles();
//获取文件目录下的所有子文件目录
/*
* 可以使用getPath()获取文件的绝对路径
*/
for(File f : files){
if(FileSelect.getFileCount(f.getPath())<10){
FileSelect.DeleteDir(f.getPath());
}
System.out.println(f.getPath()+":delete success");
}
/*
for(long no=1131001;no<1131004;no++){
String abPath = path+"\0"+no;
if(FileSelect.getFileCount(abPath)<11){
FileSelect.DeleteDir(abPath);
}
System.out.println(no+" delete success");
}
*/
}
public static void faceCrop() {
// 鍔犺浇OpenCV鍔ㄦ�閾炬帴搴�
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
//FaceCrop.faceCrop("123.jpg","D:\faceDetection.jpg");
showDir(new File("J:\STU\STU_PIC"));
System.out.println("Over");
}
//循环遍历文件夹
public static void showDir(File dir)
{
File[] files = dir.listFiles();
for(File file : files)
{
if(file.isDirectory())
{
System.out.println("=================i="+i);
i++;
try
{
showDir(file);
}
catch(Exception e)
{
//System.out.println(file+":Access Deny!!");
System.err.println(file+":Access Deny!!");
}
}
else{
String s1[] = file.toString().split("\\");
String filename = s1[s1.length-1];
String fileNo = s1[s1.length-2];
File file_new = new File("J:\STU\STU_CROP\"+fileNo);
if(!file_new.exists()){
//File file_new = new File("D:\STU_CROP\"+i);
file_new.mkdirs();
}
FaceCrop.faceCrop(file.toString(),"J:\STU\STU_CROP\"+fileNo+"\"+filename);
}
}
}
}