mirror of
https://github.com/geekwenjie/SmartJavaAI.git
synced 2026-09-10 03:28:49 +00:00
320 lines
11 KiB
XML
320 lines
11 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>examples</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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<properties>
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<maven.compiler.source>11</maven.compiler.source>
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<maven.compiler.target>11</maven.compiler.target>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<smartjavaai.version>1.0.14</smartjavaai.version>
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<!--如果打包运行，需要替换成你的main-->
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<exec.mainClass>smartai.examples.face.facerec.RetinaFaceDemo</exec.mainClass>
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<javacv.version>1.5.10</javacv.version>
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<javacv.platform.macosx-arm64>macosx-arm64</javacv.platform.macosx-arm64>
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<javacv.platform.linux-x86_64>linux-x86_64</javacv.platform.linux-x86_64>
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<javacv.platform.linux-arm64>linux-arm64</javacv.platform.linux-arm64>
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<javacv.platform.windows-x86_64>windows-x86_64</javacv.platform.windows-x86_64>
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<djl.platform.windows-x86_64>win-x86_64</djl.platform.windows-x86_64>
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<djl.platform.linux-x86_64>linux-x86_64</djl.platform.linux-x86_64>
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<djl.platform.linux-aarch64>linux-aarch64</djl.platform.linux-aarch64>
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<djl.platform.osx-aarch64>osx-aarch64</djl.platform.osx-aarch64>
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</properties>
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<dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>smartjavaai-bom</artifactId>
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<version>${smartjavaai.version}</version>
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<type>pom</type>
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<!-- 注意这里是import -->
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<scope>import</scope>
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</dependency>
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</dependencies>
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</dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>commons-cli</groupId>
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<artifactId>commons-cli</artifactId>
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<version>1.9.0</version>
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</dependency>
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<dependency>
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<groupId>commons-io</groupId>
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<artifactId>commons-io</artifactId>
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<version>2.17.0</version>
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</dependency>
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<dependency>
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<groupId>org.apache.logging.log4j</groupId>
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<artifactId>log4j-slf4j2-impl</artifactId>
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<version>2.24.1</version>
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</dependency>
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<dependency>
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<groupId>org.testng</groupId>
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<artifactId>testng</artifactId>
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<version>7.10.2</version>
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<scope>test</scope>
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</dependency>
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<dependency>
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<groupId>ch.qos.logback</groupId>
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<artifactId>logback-classic</artifactId>
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<version>1.2.3</version>
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</dependency>
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<dependency>
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<groupId>org.slf4j</groupId>
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<artifactId>slf4j-api</artifactId>
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<version>1.7.30</version>
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</dependency>
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<dependency>
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<groupId>com.alibaba</groupId>
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<artifactId>fastjson</artifactId>
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<version>1.2.83</version>
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</dependency>
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<dependency>
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<groupId>junit</groupId>
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<artifactId>junit</artifactId>
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<version>4.13.2</version>
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</dependency>
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<!--人脸识别模块-->
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<dependency>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>smartjavaai-face</artifactId>
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</dependency>
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<!--目标检测模块-->
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<dependency>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>smartjavaai-objectdetection</artifactId>
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</dependency>
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<!--OCR检测模块-->
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<dependency>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>smartjavaai-ocr</artifactId>
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</dependency>
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<dependency>
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<groupId>ai.djl.pytorch</groupId>
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<artifactId>pytorch-jni</artifactId>
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<version>2.5.1-0.32.0</version>
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<scope>runtime</scope>
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</dependency>
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<!-- windows平台 (保留对应平台的配置，可以减小包大小)-->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacv.version}</version>
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<classifier>${javacv.platform.windows-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg</artifactId>
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<version>6.1.1-1.5.10</version>
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<classifier>${javacv.platform.windows-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>openblas</artifactId>
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<version>0.3.26-1.5.10</version>
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<classifier>${javacv.platform.windows-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv</artifactId>
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<version>4.9.0-1.5.10</version>
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<classifier>${javacv.platform.windows-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>ai.djl.pytorch</groupId>
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<artifactId>pytorch-native-cpu</artifactId>
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<classifier>${djl.platform.windows-x86_64}</classifier>
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<version>2.5.1</version>
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<scope>runtime</scope>
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</dependency>
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<!-- linux x86 平台 (保留对应平台的配置，可以减小包大小)-->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacv.version}</version>
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<classifier>${javacv.platform.linux-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg</artifactId>
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<version>6.1.1-1.5.10</version>
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<classifier>${javacv.platform.linux-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>openblas</artifactId>
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<version>0.3.26-1.5.10</version>
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<classifier>${javacv.platform.linux-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv</artifactId>
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<version>4.9.0-1.5.10</version>
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<classifier>${javacv.platform.linux-x86_64}</classifier>
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</dependency>
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<dependency>
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<groupId>ai.djl.pytorch</groupId>
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<artifactId>pytorch-native-cpu</artifactId>
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<classifier>${djl.platform.linux-x86_64}</classifier>
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<version>2.5.1</version>
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<scope>runtime</scope>
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</dependency>
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<!-- macOS M系列 平台 (保留对应平台的配置，可以减小包大小)-->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacv.version}</version>
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<classifier>${javacv.platform.macosx-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg</artifactId>
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<version>6.1.1-1.5.10</version>
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<classifier>${javacv.platform.macosx-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>openblas</artifactId>
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<version>0.3.26-1.5.10</version>
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<classifier>${javacv.platform.macosx-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv</artifactId>
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<version>4.9.0-1.5.10</version>
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<classifier>${javacv.platform.macosx-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>ai.djl.pytorch</groupId>
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<artifactId>pytorch-native-cpu</artifactId>
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<classifier>${djl.platform.osx-aarch64}</classifier>
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<version>2.5.1</version>
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<scope>runtime</scope>
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</dependency>
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<!-- linux aarch64 平台 (保留对应平台的配置，可以减小包大小)-->
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>javacpp</artifactId>
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<version>${javacv.version}</version>
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<classifier>${javacv.platform.linux-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>ffmpeg</artifactId>
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<version>6.1.1-1.5.10</version>
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<classifier>${javacv.platform.linux-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>openblas</artifactId>
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<version>0.3.26-1.5.10</version>
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<classifier>${javacv.platform.linux-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>org.bytedeco</groupId>
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<artifactId>opencv</artifactId>
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<version>4.9.0-1.5.10</version>
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<classifier>${javacv.platform.linux-arm64}</classifier>
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</dependency>
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<dependency>
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<groupId>ai.djl.pytorch</groupId>
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<artifactId>pytorch-native-cpu-precxx11</artifactId>
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<classifier>${djl.platform.linux-aarch64}</classifier>
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<version>2.5.1</version>
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<scope>runtime</scope>
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</dependency>
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</dependencies>
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<build>
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<plugins>
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<plugin>
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<groupId>org.apache.maven.plugins</groupId>
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<artifactId>maven-shade-plugin</artifactId>
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<version>3.5.0</version>
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<executions>
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<execution>
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<phase>package</phase>
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<goals><goal>shade</goal></goals>
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<configuration>
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<createDependencyReducedPom>false</createDependencyReducedPom>
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<transformers>
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<transformer implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
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<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
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<mainClass>${exec.mainClass}</mainClass>
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</transformer>
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</transformers>
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</configuration>
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</execution>
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</executions>
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</plugin>
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</plugins>
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</build>
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<repositories>
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<repository>
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<id>aliyunmaven</id>
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<name>阿里云公共仓库</name>
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<url>https://maven.aliyun.com/repository/public</url>
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<releases>
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<enabled>true</enabled>
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</releases>
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<snapshots>
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<enabled>false</enabled>
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</snapshots>
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</repository>
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</repositories>
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</project>
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