update: 添加图片的模糊度，并进行0-100的量化

face-search-core/src/main/java/com/visual/face/search/core/utils/QualityUtil.java

@@ -0,0 +1,70 @@
+package com.visual.face.search.core.utils;
+
+import org.opencv.core.*;
+import org.opencv.imgproc.Imgproc;
+
+public class QualityUtil {
+
+    public static int blurForLaplacian(Mat image){
+        Mat imgDesc = null, imgResize = null;
+        Mat img2gray = null, laplacian = null;
+        MatOfDouble std = null, median = null;
+        try {
+            //裁剪图片的中心位置区域
+            if(image.width() > image.height()){
+                int offset = (image.width() - image.height()) / 2;
+                imgDesc = new Mat(image.height(), image.height(), CvType.CV_8UC3);
+                Mat imgROI = new Mat(image, new Rect(offset, 0, image.height(), image.height()));
+                imgROI.copyTo(imgDesc);
+            }else if(image.height() < image.width()){
+                int offset = (image.height() - image.width()) / 2;
+                imgDesc = new Mat(image.width(), image.width(), CvType.CV_8UC3);
+                Mat imgROI = new Mat(image, new Rect(0, offset, image.height(), image.height()));
+                imgROI.copyTo(imgDesc);
+            }else{
+                imgDesc = new Mat(image.width(), image.height(), CvType.CV_8UC3);
+                image.copyTo(imgDesc);
+            }
+            //将图片都转换为112X112的分辨率
+            imgResize = new Mat();
+            Imgproc.resize(imgDesc, imgResize, new Size(112,112), 0, 0, Imgproc.INTER_AREA);
+            //图像处理
+            img2gray = new Mat();
+            Imgproc.cvtColor(imgResize, img2gray, Imgproc.COLOR_BGR2GRAY);
+            laplacian = new Mat();
+            Imgproc.Laplacian(img2gray, laplacian, CvType.CV_64F);
+            //获取模糊分
+            std= new MatOfDouble();
+            median = new MatOfDouble();
+            Core.meanStdDev(laplacian, median , std);
+            double var = Math.pow(std.get(0,0)[0], 2);
+            //将模糊分设置到0-100的值域中
+            var = Math.min(var, 1500);
+            double score = Math.sin(var / 1500 * Math.PI * 0.5);
+            int normal = Double.valueOf(score * 100).intValue();
+            return Math.max(Math.min(normal, 100), 0);
+        }catch (Exception e){
+            throw new RuntimeException(e);
+        }finally {
+            if(null != std){
+                std.release();
+            }
+            if(null != median){
+                median.release();
+            }
+            if(null != laplacian){
+                laplacian.release();
+            }
+            if(null != img2gray){
+                img2gray.release();
+            }
+            if(null != imgResize){
+                imgResize.release();
+            }
+            if(null != imgDesc){
+                imgDesc.release();
+            }
+        }
+    }
+
+}