- 【人脸检测】新增6个模型(MTCNN、YOLOV5、RetinaFace小尺寸版)，大幅提升性能

- 【人脸识别】新增Seetaface6轻量模型
- 【目标检测】支持视频流目标检测（rtsp、视频文件等）
- 【目标检测】支持tensorflow2目标检测模型
- 【目标检测】新增行人检测模型(yolo-person)
- 【通用视觉】新增4个动作识别模型
- 【通用视觉】新增语义分割模型
- 【通用视觉】新增5个实例分割模型(含yolov8-seg、yolov11-seg)
- 【通用视觉】新增yolo-obb11旋转框检测(含yolov11-obb)
- 【通用视觉】新增5个姿态估计模型(含yolov8-pose、yolov11-pose)

examples/ocr-examples/pom.xml

@@ -34,7 +34,7 @@
         <dependencies>
             <dependency>
                 <groupId>cn.smartjavaai</groupId>
-                <artifactId>smartjavaai-bom</artifactId>
+                <artifactId>bom</artifactId>
                 <version>${smartjavaai.version}</version>
                 <type>pom</type>
                 <!-- 注意这里是import -->
@@ -50,16 +50,13 @@
             <artifactId>commons-cli</artifactId>
             <version>1.9.0</version>
         </dependency>
+
         <dependency>
             <groupId>commons-io</groupId>
             <artifactId>commons-io</artifactId>
             <version>2.17.0</version>
         </dependency>
-        <dependency>
-            <groupId>org.apache.logging.log4j</groupId>
-            <artifactId>log4j-slf4j2-impl</artifactId>
-            <version>2.24.1</version>
-        </dependency>
+
         <dependency>
             <groupId>org.testng</groupId>
             <artifactId>testng</artifactId>
@@ -73,11 +70,6 @@
             <artifactId>logback-classic</artifactId>
             <version>1.2.3</version>
         </dependency>
-        <dependency>
-            <groupId>org.slf4j</groupId>
-            <artifactId>slf4j-api</artifactId>
-            <version>1.7.30</version>
-        </dependency>
 
         <dependency>
             <groupId>com.alibaba</groupId>
@@ -96,14 +88,14 @@
         <!--OCR检测模块-->
         <dependency>
             <groupId>cn.smartjavaai</groupId>
-            <artifactId>smartjavaai-ocr</artifactId>
+            <artifactId>ocr</artifactId>
         </dependency>
 
 
         <dependency>
             <groupId>ai.djl.pytorch</groupId>
             <artifactId>pytorch-jni</artifactId>
-            <version>2.7.1-0.34.0</version>
+            <version>2.5.1-0.32.0</version>
             <scope>runtime</scope>
         </dependency>
 
@@ -140,7 +132,7 @@
             <groupId>ai.djl.pytorch</groupId>
             <artifactId>pytorch-native-cpu</artifactId>
             <classifier>${djl.platform.windows-x86_64}</classifier>
-            <version>2.7.1</version>
+            <version>2.5.1</version>
             <scope>runtime</scope>
         </dependency>
 
@@ -178,7 +170,14 @@
             <groupId>ai.djl.pytorch</groupId>
             <artifactId>pytorch-native-cpu</artifactId>
             <classifier>${djl.platform.linux-x86_64}</classifier>
-            <version>2.7.1</version>
+            <version>2.5.1</version>
+            <scope>runtime</scope>
+        </dependency>
+        <dependency>
+            <groupId>ai.djl.pytorch</groupId>
+            <artifactId>pytorch-native-cpu-precxx11</artifactId>
+            <classifier>${djl.platform.linux-x86_64}</classifier>
+            <version>2.5.1</version>
             <scope>runtime</scope>
         </dependency>
 
@@ -215,7 +214,7 @@
             <groupId>ai.djl.pytorch</groupId>
             <artifactId>pytorch-native-cpu</artifactId>
             <classifier>${djl.platform.osx-aarch64}</classifier>
-            <version>2.7.1</version>
+            <version>2.5.1</version>
             <scope>runtime</scope>
         </dependency>
 
@@ -249,13 +248,7 @@
             <classifier>${javacv.platform.linux-arm64}</classifier>
         </dependency>
 
-        <dependency>
-            <groupId>ai.djl.pytorch</groupId>
-            <artifactId>pytorch-native-cpu-precxx11</artifactId>
-            <classifier>${djl.platform.linux-aarch64}</classifier>
-            <version>2.7.1</version>
-            <scope>runtime</scope>
-        </dependency>
+