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README
Apache-2.0

OcrLiteAndroidNcnn

Issue Star

目录

联系方式

  • QQ①群:994929053(满)
  • QQ②群:820132154(满)
  • QQ③群:904091319(满)
  • QQ④群:615877948(满)
  • QQ⑤群:185905924(满)
  • QQ⑥群:628010752

项目完整源码

  • 整合好源码和依赖库的完整工程项目,可到Q群共享内下载或Release下载,以Project开头的压缩包文件为源码工程,例:Project_OcrLiteAndroidNcnn-版本号.7z
  • 如果想自己折腾,则请继续阅读本说明

APK下载

  • 编译好的demo apk,可以在release中下载,或者Q群共享内下载,文件名例:OcrLiteAndroidNcnn-版本号-cpu-release.apk
  • 或者Github下载

简介

Chineseocr Lite Android Ncnn Demo,超轻量级中文OCR Android Demo,支持ncnn推理 (DBNet+AngleNet+CRNN) 把onnx模型格式转为ncnn格式,并使用ncnn推理框架进行OCR识别。 代码和模型均源自chineseocr lite的onnx分支

详情请查看 https://github.com/ouyanghuiyu/chineseocr_lite

采用ncnn神经网络前向计算框架https://github.com/Tencent/ncnn

总体说明

  1. 封装为独立的Library,可以编译为aar,作为模块来调用;
  2. Native层以C++编写;
  3. Demo App以Kotlin-JVM编写;
  4. Android版与其它版本不同,包含了几个应用场景,包括相册识别、摄像头识别、手机IMEI号识别、摄像头身份证识别这几个功能页面;
  5. 可选择CPU版或GPU版;CPU版仅支持CPU运算,最低支持API21,且安装包体积小;GPU版支持vulkan(GPU加速),最低支持API24,安装包体积较大;

更新说明

2021-09-28 update 1.6.0

  • opencv 3.4.15(特别说明:4.5.3也可以支持,如果换成cv4,minSdkVersion必须改为24)
  • ncnn 20210720
  • 升级kotlin: 1.5.31
  • 升级gradle: 7.0.2
  • 升级各dependencies
  • 使用kotlin coroutines代替rxjava

2021-10-28 update 1.6.1

  • 编辑build.gradle,把版本定义放到root build.gradle
  • 编辑github workflow config,上传aar文件到release

2022-03-03 update 1.6.2

  • 升级gradle
  • 升级依赖库

2022-06-20 update 1.7.0

  • ncnn 20220420,更新后模型支持有变化,需要重新用ncnn自带的onnx2ncnn转换模型
  • 高版本的opencv会要求 Minimum required by OpenCV API level is android-24,所以目前仍停留在3.4.15
  • 如果不在意MinSdk,可自行下载新版opencv

2022-02-16 update 1.8.0

  • 增加相册识别和相机识别停止按钮
  • 添加 Java demo
  • 适配ncnn 20221128

编译说明

使用说明

项目结构

OcrLiteAndroidNcnn
    ├── app               # demo app
    ├── capture           # 截图
    ├── common-aar        # app引用的aar库
    ├── keystore          # app签名密钥文件
    ├── OcrLibrary        # Ocr引擎库,包含Jni和C++代码
    └── scripts           # 编译脚本

常见问题

输入参数说明

请参考OcrLiteOnnx项目

关于作者

版权声明

  • OCR模型版权归DayBreak所有;
  • 其它工程代码版权归本仓库所有者所有;

示例图

IMEI识别

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身份证识别

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车牌识别

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简介

chineseocr lite android onnx to ncnn,超轻量级中文ocr android demo,支持竖排文字识别, 支持ncnn推理(psenet+anglenet+crnn) 展开 收起
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