1、集成车牌识别模型，支持车牌检测与识别

2、新增 Milvus 身份验证支持 3、目标检测功能升级：可指定类别及topk 4、支持自定义线程池线程数量
2026-09-12 12:48:57 +00:00 · 2025-07-28 12:04:02 +08:00
parent 1bd74d1bb8
commit 1d45bc597d
117 changed files with 3490 additions and 437 deletions
--- a/examples/face-example/pom.xml
+++ b/examples/face-example/pom.xml
@@ -12,7 +12,7 @@
        <maven.compiler.source>11</maven.compiler.source>
        <maven.compiler.target>11</maven.compiler.target>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
-        <smartjavaai.version>1.0.20</smartjavaai.version>
+        <smartjavaai.version>1.0.22</smartjavaai.version>
        <!--如果打包运行，需要替换成你的main-->
        <exec.mainClass>smartai.examples.face.facedet.FaceDetDemo</exec.mainClass>

@@ -95,6 +95,13 @@
        <dependency>
            <groupId>cn.smartjavaai</groupId>
            <artifactId>smartjavaai-face</artifactId>
+            <version>1.0.22</version>
+        </dependency>
+
+        <dependency>
+            <groupId>cn.smartjavaai</groupId>
+            <artifactId>smartjavaai-all</artifactId>
+            <version>1.0.22</version>
        </dependency>


--- a/examples/face-example/src/main/java/smartai/examples/face/VideoDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/VideoDemo.java
@@ -0,0 +1,25 @@
+package smartai.examples.face;
+
+import cn.smartjavaai.common.utils.VideoUtils;
+import org.bytedeco.ffmpeg.global.avcodec;
+import org.bytedeco.javacv.FFmpegFrameGrabber;
+import org.bytedeco.javacv.FFmpegFrameRecorder;
+
+/**
+ * 视频预处理
+ * @author dwj
+ * @date 2025/7/17
+ */
+public class VideoDemo {
+
+    public static void main(String[] args) {
+        try {
+            VideoUtils.rotateVideo("/Users/wenjie/Downloads/girl.mp4", "/Users/wenjie/Downloads/girl_rotate.mp4", 180,"mp4", avcodec.AV_CODEC_ID_H264);
+        } catch (FFmpegFrameRecorder.Exception e) {
+            throw new RuntimeException(e);
+        } catch (FFmpegFrameGrabber.Exception e) {
+            throw new RuntimeException(e);
+        }
+    }
+
+}
--- a/examples/face-example/src/main/java/smartai/examples/face/attribute/FaceAttributeDetDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/attribute/FaceAttributeDetDemo.java
@@ -57,7 +57,8 @@ public class FaceAttributeDetDemo {
     */
    @Test
    public void testFaceAttributeDetect(){
-        try (FaceAttributeModel faceAttributeModel = getFaceAttributeModel()){
+        try {
+            FaceAttributeModel faceAttributeModel = getFaceAttributeModel();
            DetectionResponse detectionResponse = faceAttributeModel.detect("src/main/resources/iu_1.jpg");
            //绘制并导出人脸属性图片，小人脸仅有人脸框
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
@@ -73,7 +74,8 @@ public class FaceAttributeDetDemo {
     */
    @Test
    public void testFaceAttributeDetect2(){
-        try (FaceAttributeModel faceAttributeModel = getFaceAttributeModel()){
+        try {
+            FaceAttributeModel faceAttributeModel = getFaceAttributeModel();
            FaceAttribute faceAttribute = faceAttributeModel.detectTopFace("src/main/resources/iu_1.jpg");
            log.info("人脸属性检测结果：{}", JSONObject.toJSONString(faceAttribute));
        } catch (Exception e) {
@@ -86,7 +88,8 @@ public class FaceAttributeDetDemo {
     */
    @Test
    public void testFaceAttributeDetect3(){
-        try (FaceAttributeModel faceAttributeModel = getFaceAttributeModel()){
+        try {
+            FaceAttributeModel faceAttributeModel = getFaceAttributeModel();
            FaceAttribute faceAttribute = faceAttributeModel.detectTopFace("src/main/resources/iu_1.jpg");
            log.info("人脸属性检测结果：{}", JSONObject.toJSONString(faceAttribute));
        } catch (Exception e) {
@@ -103,8 +106,9 @@ public class FaceAttributeDetDemo {
     */
    @Test
    public void testFaceAttributeDetect4(){
-        try (FaceDetModel faceDetModel = getFaceDetModel();
-                FaceAttributeModel faceAttributeModel = getFaceAttributeModel()){
+        try {
+            FaceDetModel faceDetModel = getFaceDetModel();
+            FaceAttributeModel faceAttributeModel = getFaceAttributeModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
--- a/examples/face-example/src/main/java/smartai/examples/face/expression/ExpressionRecDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/expression/ExpressionRecDemo.java
@@ -88,7 +88,8 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetect() {
-        try (ExpressionModel model = getExpressionModel()){
+        try {
+            ExpressionModel model = getExpressionModel();
            R<ExpressionResult> result = model.detectTopFace("src/main/resources/emotion/happy.png");
            if(result.isSuccess()){
                log.info("识别结果：{}", JSONObject.toJSONString(result.getData().getExpression().getDescription()));
@@ -106,7 +107,8 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetect2() {
-        try (ExpressionModel model = getExpressionModel()){
+        try {
+            ExpressionModel model = getExpressionModel();
            R<DetectionResponse> result = model.detect("src/main/resources/emotion/happy.png");
            if(result.isSuccess()){
                //log.info("识别结果：{}", JSONObject.toJSONString(result.getData()));
@@ -128,8 +130,9 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetect3() {
-        try (FaceDetModel faceDetModel = getFaceDetModel();
-                ExpressionModel model = getExpressionModel()){
+        try {
+            FaceDetModel faceDetModel = getFaceDetModel();
+            ExpressionModel model = getExpressionModel();
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/emotion/happy.png").toAbsolutePath().toString()));
            R<DetectionResponse> detResult = faceDetModel.detect(image);
            if(detResult.isSuccess()){
@@ -156,8 +159,9 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetect4() {
-        try (FaceDetModel faceDetModel = getFaceDetModel();
-             ExpressionModel model = getExpressionModel()){
+        try {
+            FaceDetModel faceDetModel = getFaceDetModel();
+            ExpressionModel model = getExpressionModel();
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/emotion/happy.png").toAbsolutePath().toString()));
            R<DetectionResponse> detResult = faceDetModel.detect(image);
            if(detResult.isSuccess()){
@@ -182,7 +186,8 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetectAndDraw(){
-        try (ExpressionModel model = getExpressionModel()){
+        try {
+            ExpressionModel model = getExpressionModel();
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/emotion/surprise.png").toAbsolutePath().toString()));
            R<DetectionResponse> result = model.detect(image);
            if(result.isSuccess()){
@@ -206,7 +211,8 @@ public class ExpressionRecDemo {
     */
    @Test
    public void testExpressionDetectCamera(){
-        try (ExpressionModel expressionModel = getExpressionModel()){
+        try {
+            ExpressionModel expressionModel = getExpressionModel();
            OpenCV.loadShared();
            VideoCapture capture = new VideoCapture(0);
            if (!capture.isOpened()) {
--- a/examples/face-example/src/main/java/smartai/examples/face/facedet/FaceDetDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/facedet/FaceDetDemo.java
@@ -82,7 +82,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testFaceDetect(){
-        try (FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel()) {
+        try {
+            FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel();
            R<DetectionResponse> detectedResult = faceModel.detect(imgPath);
            if(detectedResult.isSuccess()){
                log.info("人脸检测结果：{}", JSONObject.toJSONString(detectedResult.getData()));
@@ -100,7 +101,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testFaceDetectCustomConfig(){
-        try (FaceDetModel faceModel = getFaceDetModel()){
+        try {
+            FaceDetModel faceModel = getFaceDetModel();
            R<DetectionResponse> detectedResult = faceModel.detect(imgPath);
            if(detectedResult.isSuccess()){
                log.info("人脸检测结果：{}", JSONObject.toJSONString(detectedResult.getData()));
@@ -118,7 +120,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testFaceDetectAndDraw(){
-        try (FaceDetModel faceModel = getFaceDetModel()){
+        try {
+            FaceDetModel faceModel = getFaceDetModel();
            faceModel.detectAndDraw("src/main/resources/largest_selfie.jpg","output/largest_selfie_detected.png");
        } catch (Exception e) {
            throw new RuntimeException(e);
@@ -131,7 +134,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testFaceDetectAndDraw2(){
-        try (FaceDetModel faceModel = getFaceDetModel()){
+        try {
+            FaceDetModel faceModel = getFaceDetModel();
            BufferedImage image = null;
            String imagePath = "src/main/resources/largest_selfie.jpg";
            image = ImageIO.read(new File(Paths.get(imagePath).toAbsolutePath().toString()));
@@ -154,11 +158,12 @@ public class FaceDetDemo {
     */
    @Test
    public void testDetectFaceOffine(){
-        FaceDetConfig config = new FaceDetConfig();
-        config.setModelEnum(FaceDetModelEnum.RETINA_FACE);//人脸模型
-        //模型路径,不同模型下载路径请参看文档
-        config.setModelPath("/Users/xxx/Documents/develop/face_model/retinaface.pt");
-        try (FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel(config)) {
+        try {
+            FaceDetConfig config = new FaceDetConfig();
+            config.setModelEnum(FaceDetModelEnum.RETINA_FACE);//人脸模型
+            //模型路径,不同模型下载路径请参看文档
+            config.setModelPath("/Users/xxx/Documents/develop/face_model/retinaface.pt");
+            FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel(config);
            R<DetectionResponse> detectedResult = faceModel.detect(imgPath);
            if(detectedResult.isSuccess()){
                log.info("人脸检测结果：{}", JSONObject.toJSONString(detectedResult.getData()));
@@ -175,10 +180,11 @@ public class FaceDetDemo {
     */
    @Test
    public void testDetectFaceGPU(){
-        FaceDetConfig config = new FaceDetConfig();
-        config.setModelEnum(FaceDetModelEnum.RETINA_FACE);//人脸模型
-        config.setDevice(DeviceEnum.GPU);
-        try (FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel(config)) {
+        try {
+            FaceDetConfig config = new FaceDetConfig();
+            config.setModelEnum(FaceDetModelEnum.RETINA_FACE);//人脸模型
+            config.setDevice(DeviceEnum.GPU);
+            FaceDetModel faceModel = FaceDetModelFactory.getInstance().getModel(config);
            R<DetectionResponse> detectedResult = faceModel.detect(imgPath);
            if(detectedResult.isSuccess()){
                log.info("人脸检测结果：{}", JSONObject.toJSONString(detectedResult.getData()));
@@ -196,7 +202,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testFaceDetectSeetaface6(){
-        try (FaceDetModel faceModel = getSeetaface6DetModel()){
+        try {
+            FaceDetModel faceModel = getSeetaface6DetModel();
            R<DetectionResponse> detectedResult = faceModel.detect(imgPath);
            if(detectedResult.isSuccess()){
                log.info("人脸检测结果：{}", JSONObject.toJSONString(detectedResult.getData()));
@@ -215,7 +222,8 @@ public class FaceDetDemo {
     */
    @Test
    public void testDetectCamera(){
-        try (FaceDetModel faceModel = getFaceDetModel()){
+        try {
+            FaceDetModel faceModel = getFaceDetModel();
            OpenCV.loadShared();
            VideoCapture capture = new VideoCapture(0);
            if (!capture.isOpened()) {
--- a/examples/face-example/src/main/java/smartai/examples/face/facerec/FaceRecDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/facerec/FaceRecDemo.java
@@ -95,6 +95,8 @@ public class FaceRecDemo {
        MilvusConfig vectorDBConfig = new MilvusConfig();
        vectorDBConfig.setHost("127.0.0.1");
        vectorDBConfig.setPort(19530);
+        //vectorDBConfig.setUsername("root");
+        //vectorDBConfig.setPassword("Milvus");
        //vectorDBConfig.setCollectionName("face5");
        //ID策略：自动生成
        vectorDBConfig.setIdStrategy(IdStrategy.AUTO);
@@ -135,7 +137,8 @@ public class FaceRecDemo {
     */
    @Test
    public void testExtractFeatures(){
-        try (FaceRecModel faceRecModel = getFaceRecModel()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModel();
            //提取图片中所有人脸特征
            R<DetectionResponse> faceResult  = faceRecModel.extractFeatures("src/main/resources/iu_1.jpg");
            if(faceResult.isSuccess()){
@@ -158,7 +161,8 @@ public class FaceRecDemo {
     */
    @Test
    public void featureComparison(){
-        try (FaceRecModel faceRecModel = getFaceRecModel()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModel();
            //基于图像直接比对人脸特征
            R<Float> similarResult = faceRecModel.featureComparison("src/main/resources/iu_1.jpg","src/main/resources/iu_2.jpg");
            if(similarResult.isSuccess()){
@@ -183,7 +187,8 @@ public class FaceRecDemo {
     */
    @Test
    public void featureComparison2(){
-        try (FaceRecModel faceRecModel = getFaceRecModel()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModel();
            //特征提取（提取分数最高人脸特征）,适用于单人脸场景
            R<float[]> featureResult1 = faceRecModel.extractTopFaceFeature("src/main/resources/iu_1.jpg");
            if(featureResult1.isSuccess()){
@@ -220,7 +225,8 @@ public class FaceRecDemo {
     */
    @Test
    public void searchFace(){
-        try (FaceRecModel faceRecModel = getFaceRecModelWithDbConfig()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModelWithDbConfig();
            //等待加载人脸库结束
            while (!faceRecModel.isLoadFaceCompleted()){
                Thread.sleep(100);
@@ -296,7 +302,8 @@ public class FaceRecDemo {
     */
    @Test
    public void searchFace2(){
-        try (FaceRecModel faceRecModel = getFaceRecModelWithSQLiteConfig()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModelWithSQLiteConfig();
            //等待加载人脸库结束
            while (!faceRecModel.isLoadFaceCompleted()){
                Thread.sleep(100);
@@ -367,7 +374,8 @@ public class FaceRecDemo {
    @Test
    public void getFaceInfo(){
        //使用ID获取人脸信息
-        try (FaceRecModel faceRecModel = getFaceRecModelWithSQLiteConfig()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModelWithSQLiteConfig();
            //等待加载人脸库结束
            while (!faceRecModel.isLoadFaceCompleted()){
                Thread.sleep(100);
@@ -390,7 +398,8 @@ public class FaceRecDemo {
    @Test
    public void listFaces(){
        //使用ID获取人脸信息
-        try (FaceRecModel faceRecModel = getFaceRecModelWithDbConfig()){
+        try {
+            FaceRecModel faceRecModel = getFaceRecModelWithDbConfig();
            //等待加载人脸库结束
            while (!faceRecModel.isLoadFaceCompleted()){
                Thread.sleep(100);
--- a/examples/face-example/src/main/java/smartai/examples/face/liveness/LivenessDetDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/liveness/LivenessDetDemo.java
@@ -133,7 +133,8 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetect(){
-        try (LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            R<DetectionResponse> response = livenessDetModel.detect("src/main/resources/liveness/1.jpg");
            if(response.isSuccess()){
                for (DetectionInfo detectionInfo : response.getData().getDetectionInfoList()){
@@ -152,7 +153,8 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetectAndDraw(){
-        try (LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/liveness/1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> response = livenessDetModel.detect(image);
            if(response.isSuccess()){
@@ -175,7 +177,8 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetect2(){
-        try (LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            //指定文件夹路径
            File dir = new File("face-example/src/main/resources/liveness");
            File[] files = dir.listFiles();
@@ -198,8 +201,9 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetect3(){
-        try (FaceDetModel faceDetectModel = getFaceDetModel();
-             LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            FaceDetModel faceDetectModel = getFaceDetModel();
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            // 将图片路径转换为 BufferedImage
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/liveness/1.jpg").toAbsolutePath().toString()));
            //人脸检测
@@ -230,8 +234,9 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetect4(){
-        try (FaceDetModel faceDetModel = getFaceDetModel();
-             LivenessDetModel livenessDetModel = getMiniVisionLivenessDetModel()){
+        try {
+            FaceDetModel faceDetModel = getFaceDetModel();
+            LivenessDetModel livenessDetModel = getMiniVisionLivenessDetModel();
            // 将图片路径转换为 BufferedImage
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/liveness/1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detResult = faceDetModel.detect(image);
@@ -259,7 +264,8 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetectVideo(){
-        try (LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            //视频路径
            R<LivenessResult> livenessStatus = livenessDetModel.detectVideo("video.mp4");
            if (livenessStatus.isSuccess()){
@@ -278,7 +284,8 @@ public class LivenessDetDemo {
     */
    @Test
    public void testLivenessDetectCamera(){
-        try (LivenessDetModel livenessDetModel = getLivenessDetModel()){
+        try {
+            LivenessDetModel livenessDetModel = getLivenessDetModel();
            OpenCV.loadShared();
            VideoCapture capture = new VideoCapture(0);
            if (!capture.isOpened()) {
--- a/examples/face-example/src/main/java/smartai/examples/face/quality/FaceQualityDetDemo.java
+++ b/examples/face-example/src/main/java/smartai/examples/face/quality/FaceQualityDetDemo.java
@@ -78,8 +78,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluateBrightness(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-                FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
@@ -110,8 +111,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluateCompleteness(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-             FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
@@ -142,8 +144,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluateClarity(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-             FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
@@ -174,8 +177,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluatePose(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-             FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
@@ -207,8 +211,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluateResolution(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-             FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);
@@ -240,8 +245,9 @@ public class FaceQualityDetDemo {
     */
    @Test
    public void evaluateAll(){
-        try (FaceQualityModel faceQualityModel = getFaceQualityModel();
-             FaceDetModel faceDetModel = getFaceDetModel()){
+        try {
+            FaceQualityModel faceQualityModel = getFaceQualityModel();
+            FaceDetModel faceDetModel = getFaceDetModel();
            //人脸检测
            BufferedImage image = ImageIO.read(new File(Paths.get("src/main/resources/iu_1.jpg").toAbsolutePath().toString()));
            R<DetectionResponse> detectionResponse = faceDetModel.detect(image);