如何在opencv java中裁剪检测到的人脸图像
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时间：2020-08-11 05:49:33 来源:igfitidea点击:
how to crop the detected face image in opencv java
提问by Asha
I detected the face in the image using opencv 2.4.10 in java
我在java中使用opencv 2.4.10检测到图像中的人脸
I put my face detection code.
我把我的人脸检测代码。
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.core.Size;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
public class FaceDetector {
public static void main(String[] args)throws Exception {
int x,y,height,width;
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
System.out.println("\nRunning FaceDetector");
//CascadeClassifier faceDetector = new CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xml").getPath());
CascadeClassifier faceDetector=new CascadeClassifier();
faceDetector.load("C:/opencv-2.4.10/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml");
//System.out.println(""+faceDetector);
// Mat image = Highgui .imread(FaceDetector.class.getResource("D:/shekar.jpg").getPath());
Mat image = Highgui .imread("D:/Eclipse - New Juno/New Juno Projects/detectface/man1.jpg");
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 255, 0));
}
String filename = "china.jpg";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
}
Now i want to crop the detected face and save it as new jpg image in opencv java.
现在我想裁剪检测到的人脸并将其保存为 opencv java 中的新 jpg 图像。
Crop code is
作物代码是
Rect rectCrop = new Rect(x, y, width, height);
Mat image_roi = image(rectCrop);
image_roi.copyTo(cropimage);
imwrite("cropimage.jpg",image_roi);
The error is
错误是
The method image(Rect) is undefined for the type FaceDetector The method imwrite(String, Mat) is undefined for the type FaceDetector
方法 image(Rect) 对于 FaceDetector 类型未定义 方法 imwrite(String, Mat) 对于 FaceDetector 类型未定义
Please anyone help me to solve this.
请任何人帮我解决这个问题。
Thanks
谢谢
采纳答案by dhvani
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.core.Size;
import org.opencv.highgui.Highgui;
import static org.opencv.highgui.Highgui.imwrite;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
public class FaceDetector {
private static Mat cropImage;
public static void main(String[] args)throws Exception {
int x = 0,y = 0,height = 0,width = 0;
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
System.out.println("\nRunning FaceDetector");
//CascadeClassifier faceDetector = new CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xm l").getPath());
CascadeClassifier faceDetector = new CascadeClassifier(Snapshot.class.getResource("haarcascade_frontalface_alt.xml").getPath().substring(1));
Mat image = Highgui.imread("C:\image.jpg");
faceDetector.detectMultiScale(image, face_Detections);
System.out.println(String.format("Detected %s faces", face_Detections.toArray().length));
Rect rect_Crop=null;
for (Rect rect : face_Detections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 255, 0));
rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}
Mat image_roi = new Mat(image,rectCrop);
Highgui.imwrite("C:\cropimage_912.jpg",image_roi);
}}
回答by GPPK
OpenCV has region of interest functions which you may find useful. If you are using the cv::Mat then you could use something like the following.
OpenCV 具有您可能会发现有用的感兴趣区域函数。如果您使用的是 cv::Mat，那么您可以使用如下所示的内容。
// Take your Final Detected Image
image;
// These values need to be your determined face rect values
cv::Rect myROI(x, y,width, height);
// Crop the full image to that image contained by the rectangle myROI
// Note that this doesn't copy the data
cv::Mat croppedImage = image(myROI);
回答by Amirul
how to crop multiple faces? dhvani.
如何裁剪多个人脸？德瓦尼
for (Rect rect : face_Detections.toArray()) {
Core.rectangle(
image,
new Point(rect.x, rect.y),
new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 255, 0));
rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}
Mat image_roi = new Mat(image,rectCrop);
Highgui.imwrite("C:\cropimage_912.jpg",image_roi);
}}
回答by Rubaiyat Jahan Mumu
Try this. This one works just fine.
尝试这个。这个工作得很好。
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.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
public class FaceDetection
{
public static void main(String[] args)
{
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
CascadeClassifier faceDetector = new CascadeClassifier();
faceDetector.load("D:\OpenCv\opencv\sources\data\haarcascades\haarcascade_frontalface_alt.xml");
System.out.println ( "Working" );
// Input image
Mat image = Imgcodecs.imread("D:\input.jpg");
// Detecting faces
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
// Creating a rectangular box showing faces detected
Rect rectCrop=null;
for (Rect rect : faceDetections.toArray())
{
Imgproc.rectangle(image, new Point(rect.x, rect.y),
new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 255, 0));
rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}
// Saving the output image
String filename = "Ouput.jpg";
Imgcodecs.imwrite("D:\"+filename, image);
Mat markedImage = new Mat(image,rectCrop);
Imgcodecs.imwrite("D:\cropimage.jpg",markedImage );
}
}
回答by itsfreeandtakesminute
int detectedFaces = faceDetections.toArray().length;
Rect rect_Crop=null;
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x
+ rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
rect_Crop = new Rect(rect.x, rect.y, rect.width, rect.height);
Mat image_roi = new Mat(image,rect_Crop);
StringBuilder sb = new StringBuilder("outputimage");
sb.append(detectedFaces).append(".jpg");
Imgcodecs.imwrite(sb.toString(),image_roi);
detectedFaces--;
}
This is for people asking how to crop multiple faces with openCV java.
这适用于询问如何使用 openCV java 裁剪多个人脸的人。
回答by I.Tyger
Rect[] facesArray = faces.toArray();
for (int i = 0; i < facesArray.length; i++) {
Rect rect = facesArray[i];
Imgproc.rectangle(frame, rect.tl(), rect.br(), new Scalar(0, 255, 0), 2);
Mat submat = frame.submat(facesArray[i]);
imwrite("./face" + i + ".jpg", submat);
}
This looks like the smartest way to do it .
这看起来是最聪明的方法。
