- 【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)
This commit is contained in:
dengwenjie
2025-09-07 17:19:19 +08:00
parent 2b044fda29
commit a8e7ce6c4e
102 changed files with 4473 additions and 1368 deletions

View File

@@ -34,7 +34,7 @@
<dependencies>
<dependency>
<groupId>cn.smartjavaai</groupId>
<artifactId>smartjavaai-bom</artifactId>
<artifactId>bom</artifactId>
<version>${smartjavaai.version}</version>
<type>pom</type>
<!-- 注意这里是import -->
@@ -55,11 +55,7 @@
<artifactId>commons-io</artifactId>
<version>2.17.0</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-slf4j2-impl</artifactId>
<version>2.24.1</version>
</dependency>
<dependency>
<groupId>org.testng</groupId>
<artifactId>testng</artifactId>
@@ -73,11 +69,7 @@
<artifactId>logback-classic</artifactId>
<version>1.2.3</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.30</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
@@ -94,14 +86,14 @@
<!--翻译模块-->
<dependency>
<groupId>cn.smartjavaai</groupId>
<artifactId>smartjavaai-translate</artifactId>
<artifactId>translate</artifactId>
</dependency>
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-jni</artifactId>
<version>2.7.1-0.34.0</version>
<version>2.5.1-0.32.0</version>
<scope>runtime</scope>
</dependency>
@@ -112,7 +104,7 @@
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cpu</artifactId>
<classifier>${djl.platform.windows-x86_64}</classifier>
<version>2.7.1</version>
<version>2.5.1</version>
<scope>runtime</scope>
</dependency>
@@ -124,7 +116,15 @@
<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>
@@ -134,23 +134,23 @@
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cpu</artifactId>
<classifier>${djl.platform.osx-aarch64}</classifier>
<version>2.7.1</version>
<version>2.5.1</version>
<scope>runtime</scope>
</dependency>
<!-- linux aarch64 平台 (保留对应平台的配置,可以减小包大小)-->
<dependency>
<groupId>ai.djl.pytorch</groupId>
<artifactId>pytorch-native-cpu-precxx11</artifactId>
<classifier>${djl.platform.linux-aarch64}</classifier>
<version>2.7.1</version>
<artifactId>pytorch-native-cpu</artifactId>
<classifier>linux-aarch64</classifier>
<scope>runtime</scope>
<version>2.5.1</version>
</dependency>
</dependencies>
<build>
@@ -179,16 +179,21 @@
</build>
<repositories>
<!-- <repository>-->
<!-- <id>aliyunmaven</id>-->
<!-- <name>阿里云公共仓库</name>-->
<!-- <url>https://maven.aliyun.com/repository/public</url>-->
<!-- <releases>-->
<!-- <enabled>true</enabled>-->
<!-- </releases>-->
<!-- <snapshots>-->
<!-- <enabled>false</enabled>-->
<!-- </snapshots>-->
<!-- </repository>-->
<repository>
<id>aliyunmaven</id>
<name>阿里云公共仓库</name>
<url>https://maven.aliyun.com/repository/public</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>false</enabled>
</snapshots>
<id>central</id>
<url>https://repo1.maven.org/maven2/</url>
</repository>
</repositories>

View File

@@ -18,34 +18,73 @@ import org.junit.Test;
import java.io.IOException;
/**
* 翻译Demo
* 支持 Meta AI 开源的 NLLB-200 模型,实现 200 多种语言之间的高质量互译。
* NLLB-200官网地址https://github.com/facebookresearch/fairseq/tree/nllb
* 机器翻译Demo
* 模型下载地址https://pan.baidu.com/s/1wf7btnb4cyBFv7DB7baHnw?pwd=1234 提取码: 1234
* 开发文档http://doc.smartjavaai.cn/
* @author dwj
*/
@Slf4j
public class TranslationDemo {
//设备类型
public static DeviceEnum device = DeviceEnum.CPU;
@BeforeClass
public static void beforeAll() throws IOException {
//修改缓存路径
// Config.setCachePath("/Users/xxx/smartjavaai_cache");
}
/**
* 获取模型(NLLB)
* @return
*/
public TranslationModel getNllbModel() {
TranslationModelConfig config = new TranslationModelConfig();
//指定翻译模型NLLB,切换模型需同时修改modelEnum及modelPath
config.setModelEnum(TranslationModeEnum.NLLB_MODEL);
//指定模型路径,需将模型路径修改为本地的模型路径
config.setModelPath("/Users/xxx/Documents/develop/model/trans/traced_translation_cpu.pt");
config.setDevice(DeviceEnum.CPU);
return TranslationModelFactory.getInstance().getModel(config);
}
/**
* 翻译
* 获取中文模型(OPUS 中文->英文)
* @return
*/
public TranslationModel getOPUSModelZH_EN() {
TranslationModelConfig config = new TranslationModelConfig();
//指定翻译模型,切换模型需同时修改modelEnum及modelPath
config.setModelEnum(TranslationModeEnum.OPUS_MT_ZH_EN);
//指定模型路径,需将模型路径修改为本地的模型路径
config.setModelPath("/Users/wenjie/Documents/develop/model/trans/opus-mt-zh-en/traced_translation.pt");
config.setDevice(DeviceEnum.CPU);
return TranslationModelFactory.getInstance().getModel(config);
}
/**
* 获取中文模型(OPUS 英文->中文)
* @return
*/
public TranslationModel getOPUSModelEN_ZH() {
TranslationModelConfig config = new TranslationModelConfig();
//指定翻译模型,切换模型需同时修改modelEnum及modelPath
config.setModelEnum(TranslationModeEnum.OPUS_MT_EN_ZH);
//指定模型路径,需将模型路径修改为本地的模型路径
config.setModelPath("/Users/wenjie/Documents/develop/model/trans/opus-mt-en-zh/traced_translation.pt");
config.setDevice(DeviceEnum.CPU);
return TranslationModelFactory.getInstance().getModel(config);
}
/**
* 翻译(nllb模型)
*/
@Test
public void translate() {
public void nllbTranslate() {
try {
TranslationModelConfig config = new TranslationModelConfig();
//指定翻译模型NLLB
config.setModelEnum(TranslationModeEnum.NLLB_MODEL);
//指定模型路径,需将模型路径修改为本地的模型路径
config.setModelPath("/Users/xxx/Documents/develop/model/trans/traced_translation_cpu.pt");
TranslationModel translationModel = TranslationModelFactory.getInstance().getModel(config);
TranslationModel translationModel = getNllbModel();
//翻译参数
TranslateParam translateParam = new TranslateParam();
//输入文字
@@ -74,28 +113,16 @@ public class TranslationDemo {
}
/**
* GPU 翻译
* 翻译(opus 中文->英文)
*/
@Test
public void translateGpu() {
public void opusTranslate1() {
try {
TranslationModelConfig config = new TranslationModelConfig();
//指定翻译模型NLLB
config.setModelEnum(TranslationModeEnum.NLLB_MODEL);
//指定设备GPU
config.setDevice(DeviceEnum.GPU);
//指定模型路径,需将模型路径修改为本地的 GPU 模型路径
config.setModelPath("/Users/xxx/Documents/develop/model/trans/traced_translation_gpu.pt");
//获取翻译模型
TranslationModel translationModel = TranslationModelFactory.getInstance().getModel(config);
TranslationModel translationModel = getOPUSModelZH_EN();
//翻译参数
TranslateParam translateParam = new TranslateParam();
//输入文字
translateParam.setInput("你好,欢迎使用SmartJavaAI");
//源语言:中文
translateParam.setSourceLanguage(LanguageCode.ZHO_HANS);
//目标语言:韩语
translateParam.setTargetLanguage(LanguageCode.ENG_LATN);
translateParam.setInput("SmartJavaAI是专为JAVA 开发者打造的一个功能丰富、开箱即用的 JAVA AI算法工具包");
R<String> result = translationModel.translate(translateParam);
if(result.isSuccess()){
log.info("翻译结果:{}", result.getData());
@@ -107,4 +134,28 @@ public class TranslationDemo {
}
}
/**
* 翻译(opus 英文->中文)
*/
@Test
public void opusTranslate2() {
try {
TranslationModel translationModel = getOPUSModelEN_ZH();
//翻译参数
TranslateParam translateParam = new TranslateParam();
//输入文字
translateParam.setInput("You don't have to be machine learning expert to get started");
R<String> result = translationModel.translate(translateParam);
if(result.isSuccess()){
log.info("翻译结果:{}", result.getData());
}else{
log.error("翻译失败:{}", result.getMessage());
}
} catch (Exception e) {
e.printStackTrace();
}
}
}