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# yx-image-recognition
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#### 介绍
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- **spring boot + maven实现的车牌识别系统**
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- 基于Opencv实现、在EasyPR-Java的基础上优化配置及依赖版本
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- 入门级项目
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#### 包含功能
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- 黄 蓝 绿车牌检测及车牌号码识别
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- 单张图片识别、多张图片并发识别、单图片多车牌识别
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- 车牌检测训练
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#### 软件版本
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- jdk 1.8.61+
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- maven 3.0+
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- opencv 4.0.1 ; javacpp1.4.4;opencv-platform 4.0.1-1.4.4
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- spring boot 2.1.5.RELEASE
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- yx-image-recognition 1.0.0版本
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#### 软件架构
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- B/S 架构,前端html + requireJS,后端java
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- 数据库使用 sqlite3.0
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- 接口文档使用swagger 2.0
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#### 车牌识别流程
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- **操作界面**
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
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- **图片处理过程**
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debug_GaussianBlur:
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
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debug_gray:
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
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debug_Sobel:
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
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debug_threshold:
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
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debug_morphology:
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
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debug_Contours:
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
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debug_result:
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
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debug_crop:
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
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
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
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
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debug_resize:
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
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
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
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
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final_result:
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
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- **图片车牌文字识别过程**
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debug_char_threshold:
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
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debug_char_clearLiuDing:
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
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debug_specMat:
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
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debug_chineseMat:
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
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debug_char_auxRoi:
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
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
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
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
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
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
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
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#### 安装教程
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- 将项目拉取到本地,PlateDetect文件夹拷贝到d盘下,默认车牌识别操作均在d:/PlateDetect/目录下处理,可以根据需要自行修改
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- lib下依赖包添加到build path;或者修改pom文件的注释内容,将opencv-platform依赖取消注释
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- spring boot方式运行项目,浏览器上输入 http://localhost:16666/index 即可打开操作界面
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- 浏览器上输入 http://localhost:16666/swagger-ui.html 即可打开接口文档页面
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-
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#### 使用说明
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- 入门级教程项目,本人目前也正在学习图片识别相关技术;大牛请绕路
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- 当前项目绿牌检测仅能偶尔测通,还需要继续完善
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- 当前已经添加车牌检测训练,后续会逐步添加车牌号码识别训练
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- 后续会逐步加入人脸识别等功能
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- **车牌图片来源于网络,仅用于交流学习,不得用于商业用途;如有侵权,请联系本人删除**
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