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

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

@@ -0,0 +1,64 @@
+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;
+    }
+}