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Android+opencv+tensorflow,使用Android studio开发app,实时识别手写数字,使用tensorflow训练的模型给手机使用,将tensorflow移植到手机上,利用Android端的opencv对摄像头实时获取的图片进行处理识别

Java 42.10% Makefile 0.09% C++ 44.86% Python 1.54% C 0.70% CMake 0.14% Objective-C 0.02% Objective-C++ 0.18% Shell 0.93% Jupyter Notebook 6.94% Dockerfile 0.02% TypeScript 2.47%

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Android-opencv-tensorflow-

Android+opencv+tensorflow,使用Android studio开发app,使用tensorflow训练的模型给手机使用,将tensorflow移植到手机上,利用Android端的opencv对摄像头实时获取的图片进行处理 实验效果:

master项目可在Android Studio中打开进行开发,使用的是opencv3.2。若直接使用,首先需要安装opencv manager(按照自己手机的架构选择安装包,我华为荣耀9选的是armeabi): https://github.com/xueyigehe/Android-opencv-tensorflow-/tree/master/apk 实时识别的安装包为apk文件下的tensorflowmnist.spk: https://github.com/xueyigehe/Android-opencv-tensorflow-/tree/master/apk 使用时先打开opencv manager,退出后启动识别app即可使用。

由于是使用了opencv中的图像分割,将所有分割物体进行识别,结果都会为数字,即如果将摄像头对着文字,识别结果也会错误的显示为数字。所以此app只适用于手写数字识别。

实验结果的显示窗口只在中间小区域,找了很多资料,有人说这是opencv竖屏的结果,也改了一下,发现满屏后图像会失真,希望有懂的人可以交流一下。

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