Files
SmartJavaAI/smartjavaai-ocr/src/main/java/cn/smartjavaai/ocr/opencv/OcrOpenCVUtils.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

65 lines
1.6 KiB
Java

package cn.smartjavaai.ocr.opencv;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.imgproc.Imgproc;
import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
/**
* OpenCV Utils
*
*/
public class OcrOpenCVUtils {
/**
* 透视变换
*
* @param src
* @param srcPoints
* @param dstPoints
* @return
*/
public static Mat perspectiveTransform(Mat src, Mat srcPoints, Mat dstPoints) {
Mat dst = src.clone();
Mat warp_mat = Imgproc.getPerspectiveTransform(srcPoints, dstPoints);
Imgproc.warpPerspective(src, dst, warp_mat, dst.size());
warp_mat.release();
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;
}
}