OPENCV中文显示乱码怎么用JAVA处理

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1.Imgproc.putText中文乱码

Imgproc.putText(image, new String(("性别:" + gender + "年龄:" + age).getBytes("UTF-8")),                                        new Point(rects[i].x, rects[i].y), Imgproc.FONT_HERSHEY_PLAIN, 0.8, sc, 1, Imgproc.LINE_AA, false);

2.问题处理思路

1.MAT转IMAGE2.IMAGE添加水印后转MAT

3.代码（转换来自网络）

/**         * Mat转换成BufferedImage         *          * @param matrix        要转换的Mat         * @param fileExtension 格式为 ".jpg", ".png", etc         * @return         */        public static BufferedImage Mat2BufImg(Mat matrix, String fileExtension) {                // convert the matrix into a matrix of bytes appropriate for                // this file extension                MatOfByte mob = new MatOfByte();                Imgcodecs.imencode(fileExtension, matrix, mob);                // convert the "matrix of bytes" into a byte array                byte[] byteArray = mob.toArray();                BufferedImage bufImage = null;                try {                        InputStream in = new ByteArrayInputStream(byteArray);                        bufImage = ImageIO.read(in);                } catch (Exception e) {                        e.printStackTrace();                }                return bufImage;        }/**         * BufferedImage转换成Mat         *          * @param original 要转换的BufferedImage         * @param imgType  bufferedImage的类型 如 BufferedImage.TYPE_3BYTE_BGR         * @param matType  转换成mat的type 如 CvType.CV_8UC3         */        public static Mat BufImg2Mat(BufferedImage original, int imgType, int matType) {                if (original == null) {                        throw new IllegalArgumentException("original == null");                }                //System.loadLibrary("opencv_java412");                //System.loadLibrary(Core.NATIVE_LIBRARY_NAME);                //System.load("E:\\opencv\\opencv\\build\\java\\x64\\opencv_java412.dll");                //System.out.println(Core.NATIVE_LIBRARY_NAME);                // Don't convert if it already has correct type                if (original.getType() != imgType){                        // Create a buffered image                        BufferedImage image = new BufferedImage(original.getWidth(), original.getHeight(), imgType);                        // Draw the image onto the new buffer                        Graphics2D g = image.createGraphics();                        try {                                g.setComposite(AlphaComposite.Src);                                g.drawImage(original, 0, 0, null);                        } finally {                                g.dispose();                        }                }                byte[] pixels = ((DataBufferByte) original.getRaster().getDataBuffer()).getData();                Mat mat = Mat.eye(original.getHeight(), original.getWidth(), matType);                mat.put(0, 0, pixels);                return mat;        }        /**         *          * @param cc 识别类         * @param image 图片         * @param sc 颜色         * @param flip 是否反转         * @return         * @throws UnsupportedEncodingException          */        private static Map getFace(CascadeClassifier cc,Mat image,Scalar sc,boolean flip) throws UnsupportedEncodingException {        Map resultMap=new HashMap();                        MatOfRect face = new MatOfRect();                if(flip) {                        Core.flip(image, image, 1);                }                cc.detectMultiScale(image, face);                                Rect[] rects = face.toArray();                System.out.println("匹配到 " + rects.length + " 个人脸");                                // 4 为每张识别到的人脸画一个圈                for (int i = 0; i < rects.length; i++) {                        Imgproc.rectangle(image, new Point(rects[i].x, rects[i].y),                                        new Point(rects[i].x + rects[i].width, rects[i].y + rects[i].height), sc);                                                String age=analyseAge(image,rects[i]);                        String gender=analyseGender(image,rects[i]);                                                //                        Font font = new Font("微软雅黑", Font.PLAIN, 12);                         BufferedImage bufImg =Mat2BufImg(image,".png");                        Graphics2D g = bufImg.createGraphics();            g.drawImage(bufImg, 0, 0, bufImg.getWidth(),bufImg.getHeight(), null);            g.setFont(font);              //设置字体                        //设置水印的坐标            g.drawString("性别:"+gender+" 年龄:"+age, rects[i].x, rects[i].y);                g.dispose();                            image=ImageUtil.BufImg2Mat(bufImg, BufferedImage.TYPE_3BYTE_BGR, CvType.CV_8UC3);// CvType.CV_8UC3                                    /*                         * Imgproc.putText(image, new String(("性别:" + gender + "年龄:" +                         * age).getBytes("UTF-8")), new Point(rects[i].x, rects[i].y),                         * Imgproc.FONT_HERSHEY_PLAIN, 0.8, sc, 1, Imgproc.LINE_AA, false);                         */                                         }                                if(flip) {                        Core.flip(image, image, 1);                }                                boolean check=rects.length<1?false:true;                resultMap.put("check", check);                resultMap.put("Mat", image);                return resultMap;        }

4.中文显示效果图

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