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SmartJavaAI/smartjavaai-common/src/main/java/cn/smartjavaai/common/utils/OpenCVUtils.java
dengwenjie 42d2943a94 1、FaceNet 特征提取新增人脸对齐
2、人脸检测新5点人脸关键点定位
3、特征提取接口支持多人脸和最佳人脸提取
4、修复人脸框边界精度问题
5、更新 Maven 发布的 groupId
2025-04-28 16:13:34 +08:00

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package cn.smartjavaai.common.utils;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDManager;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.imgproc.Imgproc;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
/**
* OpenCV 工具类
*/
public class OpenCVUtils {
/**
* canny算法边缘检测
*
* @param src
* @return
*/
public static Mat canny(Mat src) {
Mat mat = src.clone();
Imgproc.Canny(src, mat, 100, 200);
return mat;
}
/**
* 画线
*
* @param mat
* @param point1
* @param point2
*/
public static void line(Mat mat, Point point1, Point point2) {
Imgproc.line(mat, point1, point2, new Scalar(255, 255, 255), 1);
}
/**
* NDArray to opencv_core.Mat
*
* @param manager
* @param srcPoints
* @param dstPoints
* @return
*/
public static Mat toOpenCVMat(NDManager manager, NDArray srcPoints, NDArray dstPoints) {
NDArray svdMat = SVDUtils.transformationFromPoints(manager, srcPoints, dstPoints);
double[] doubleArray = svdMat.toDoubleArray();
Mat newSvdMat = new Mat(2, 3, CvType.CV_64F);
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 3; j++) {
newSvdMat.put(i, j, doubleArray[i * 3 + j]);
}
}
return newSvdMat;
}
/**
* double[][] points array to Mat
* @param points
* @return
*/
public static Mat toOpenCVMat(double[][] points) {
Mat mat = new Mat(5, 2, CvType.CV_64F);
for (int i = 0; i < 5; i++) {
for (int j = 0; j < 2; j++) {
mat.put(i, j, points[i * 5 + j]);
}
}
return mat;
}
/**
* 变换矩阵的逆矩阵
*
* @param src
* @return
*/
public static Mat invertAffineTransform(Mat src) {
Mat dst = src.clone();
Imgproc.invertAffineTransform(src, dst);
return dst;
}
/**
* Mat to BufferedImage
*
* @param mat
* @return
*/
public static BufferedImage mat2Image(Mat mat) {
int width = mat.width();
int height = mat.height();
byte[] data = new byte[width * height * (int) mat.elemSize()];
Imgproc.cvtColor(mat, mat, 4);
mat.get(0, 0, data);
BufferedImage ret = new BufferedImage(width, height, 5);
ret.getRaster().setDataElements(0, 0, width, height, data);
return ret;
}
/**
* BufferedImage to Mat
*
* @param img
* @return
*/
public static Mat image2Mat(BufferedImage img) {
int width = img.getWidth();
int height = img.getHeight();
byte[] data = ((DataBufferByte) img.getRaster().getDataBuffer()).getData();
Mat mat = new Mat(height, width, CvType.CV_8UC3);
mat.put(0, 0, data);
return mat;
}
}