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唯一解/seeFace

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README
Apache-2.0

seeFace

介绍

基于easyAi 100% java代码 本地人脸识别内核算法模块

视频教程地址:

https://www.bilibili.com/video/BV1W7411J7zr?p=6

maven地址

  • 在pom文件中引入以下JAR包即可(若最新版本中央库还没更新,则直接下载发行版,自行安装到本地库)
        <dependency>
            <groupId>org.dromara.easyai</groupId>
            <artifactId>seeFace</artifactId>
            <version>1.0.7</version>           
        </dependency>

部署须知

  • 初始化模型在项目resources文件夹内,初始化方法需载入对应照片和json文件
  • 初始化方法在App.java中
  • 使用face.look()方法获取特征向量,特征向量为二维数组请保存
  • 识别人脸时,获取图像的特征向量,并与库内其他人脸入向量数据库的特征向量做欧氏距离比较,距离最近的就是要找人的人。
  • 可以设置距离阈值,当距离大于设定阈值,则认为库内不存在该人脸(该阈值通常为9000)
  • 本项目输入图片必须为竖向图片(既高大于宽),且宽高比大致符合3:4的手机拍摄照片比例(越接近3:4越好),若宽高比差异过大,可能会导致识别失败
  • 当识别返回结果FaceMessagenull时说明无检出人脸图片(人脸在图像中比例过小,或者光照过暗过曝,或者无人脸)。
  • 人脸在图像中占比宽与高至少要超过图像宽高的四分之一,光照过高过低也都会导致失败。
  • 本项目依赖easyAi 地址为: https://gitee.com/dromara/easyAi
  • Face face识别类在服务启动时进行初始化FaceFactory获取且会加载resources下预训练模型信息,类会初始化为单例,直接使用内存中加载模型后单例化的该类获取特征矩阵。

官方文档

更多更详尽的技术文档,请访问官方网站:https://www.myeasyai.cn

快速开始API

public ErrorMessage look(ThreeChannelMatrix face, long eventID, int secondExplore)获取该图像的特征向量

参数ThreeChannelMatrix face为解析图像的三通道矩阵

参数long eventID线程安全唯一ID

参数int secondExplore迭代强度,识别时建议使用30,入库时提高到60,该数值越大对人脸抓取就越稳,但速度越慢。所以人脸入库获取向量时 提高该数值,求最稳。识别获取特征时降低到30,可以在兼顾一定稳定的同时求快。

返回实体ErrorMessage

private int errorCode = 0为错误码,当错误码为0时才是正常获取了结果

private String errorMessage错误原因

FaceMessage faceMessage人脸信息结果,当错误码不为0时,该返回实体为null

参数private Matrix feature为特征矩阵,内置二维数组保存特征值,可通过getMatrix()方法将二维数组提取出来用来特征值保存入库,以方便使用向量数据库对比。

参数private ThreeChannelMatrix channel定位到的人脸特征的图像三通道矩阵,可以使用ImageTools中的imageTools.writeImage(faceMessage.getChannel(), "/Users/lidapeng/job/faceData/test/b1.jpg"); 方法将人脸输出出来,观察人脸定位结果,如果抓取位置异常,说明本次识别结果不理想,可进行重新拍摄再次获取。

微信交流群

  • 加微信技术交流群(目前只有微信交流群,QQ交流群已经不再拉新,凡是QQ交流群拉进去的,都不是我的群!大家注意!!)
  • 加交流群
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简介

基于easyAi 100% java代码 本地人脸识别项目 展开 收起
Java
Apache-2.0
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