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+# AI EYE
+
+## 总体介绍
+
+本项目基于Mediapipe开发，开发了两个平台的APP，实现了测视力、测散光、测色盲三个主要功能模块，同时实现了测量距离(需要自定义计算图，我已经重新编译并且可以在Android上进行部署)、手势识别、测试环境亮度、连接电视等功能，并对测试的数据进行记录。本项目具有优秀的动画和交互体验（采用`MotionLayout` `Animation` `TransformationLayout` `Lottie`，比如一镜到底效果）。单击[此处](https://github.com/MikeDean2367/AI-EYE/releases/download/resource/apk.7z)下载安装包。（开发了PC端的，但是没有和此处进行连接，因此不在此处展示）
+
+
+
+## 结构说明
+
+该仓库为`AI EYE`的代码。下图为三个APP的通信方式（不同设备之间的、不同进程之间的）
+
+![](./img/connect.png)
+
+其中`handtiqu`为手势识别APP，它是一个独立的程序，但是无法单独运行，它在手机端的主程序中进行调用。其主要功能是建立与`TV`的连接，并且作为手势识别的平台，将解析的结果通过`Socket`传递到`TV`端。
+
+`Vision`为`AI EYE`的主程序端，它是整个`AI EYE`的核心部分。
+
+`TV`为`AI EYE`的`TV`端，可以在平板上运行（需要注意的是，`TV`需要有摄像头），其主要功能是和手势识别进行通信，用户通过手势和`TV`进行通信，从而在大屏幕上完成手势识别。
+
+使用该程序的基本流程为：
+
+1. 打开主程序`Vision`，注册后可以使用。可以单独在该程序上面完成测量视力、测量散光、测量色盲，并且查看历史数据。
+2. 如果要在大屏幕上测试视力，需要在带有摄像头的大屏幕上如电视，安装`TV`端，同时在手机上安装`handtiqu`。安装完成后确保手机端和大屏幕同处于一个WIFI网络中。打开主程序并登录后，在主页点击`TV`，然后点击`连接电视`，扫描屏幕上的二维码。扫描成功后在主页点击`手势识别`，然后程序会切换到`handtiqu`程序，此时便可以按照提示完成测量。
+
+
+
+## 代码使用说明
+
+三个文件夹用三个`Android Studio`打开。
+
+该代码编译需要在带有`Bazel`编译环境下进行，具体安装操作可以参考`Google`的`Mediapipe`官网，网址为www.mediapipe.dev。
+
+由于`github`无法上传大于25MB的文件，因此部分文件在[此处](https://github.com/MikeDean2367/AI-EYE/releases/download/resource/resource.zip)。
+
+### Vision
+
+把`release/mp_iris_tracking_aar.aar`移动到`Vision/app/libs`中。
+
+把`res`文件夹移动到`vision/app/src/main`目录下。
+
+### handtiqu
+
+把`release/mp_multi_hand_tracking_aar.aar`移动到`handTiqu/app/libs`中。
+
+### TV
+
+把`release/mp_iris_tracking_aar.aar`移动到`pad/app/libs`中。
+
+
+
+## 界面展示
+
+### 主程序手机端
+
+![](./img/register.jpg)
+
+![](./img/login.jpg)
+
+![](./img/userlist.jpg)
+
+![](./img/main.jpg)
+
+
+
+![](./img/setting.jpg)
+
+![](./img/tips.jpg)
+
+![](./img/vision.jpg)
+
+![](./img/semang.jpg)
+
+![](./img/sanguang.jpg)
+
+![](./img/data.jpg)
+
+![](./img/modify_pwd.jpg)
+
+![](./img/light_detection.jpg)
+
+![](./img/measure_init.jpg)
+
+![](./img/measure_testing.jpg)
+
+![](./img/measure_disappear.jpg)
+
+### 手势识别端
+
+![](./img/hand_extract.jpg)
+
+### TV端
+
+![](./img/TV_main.jpg)
+
+![](./img/TV_eyes.jpg)
+
+![](./img/TV_distance.jpg)
+
+![](./img/TV_measure.png)
+
+![](./img/TV_waiting.jpg)
+
+![](./img/TV_testing.jpg)
+
+![](./img/TV_finish.jpg)
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