# TensorFlow on Android Example

**Repository Path**: zerofreeze/AndroidTensorFlowMachineLearningExample

## Basic Information

- **Project Name**: TensorFlow on Android Example
- **Description**: 把 Tensorflow 整合进 Android APP 的示例项目。项目原作者已经暂停维护，所以个人决定重新建立仓库，以提供新特性的支持。
- **Primary Language**: Android
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-13
- **Last Updated**: 2025-08-17

## Categories & Tags

**Categories**: Uncategorized

**Tags**: TensorFlow, Android

## README

# TensorFlow on Android Example (Based on Mindorks)
[![Mindorks](https://img.shields.io/badge/mindorks-opensource-blue.svg)](https://mindorks.com/open-source-projects)
[![Mindorks Community](https://img.shields.io/badge/join-community-blue.svg)](https://mindorks.com/join-community)
[![Open Source Love](https://badges.frapsoft.com/os/v1/open-source.svg?v=102)](https://opensource.org/licenses/Apache-2.0)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/amitshekhariitbhu/AndroidTensorFlowMachineLearningExample/blob/master/LICENSE)


## About This repository
* This is an example project for integrating [TensorFlow](https://github.com/tensorflow/tensorflow) into Android application
* This project based on [the Mindorks Android TensorFlow Machine Learning Example](https://github.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample) which include an example for object detection for an image taken from camera using TensorFlow library.
* Since the project owner suspended to maintain that repository, so I decided to create a new base from the Mindorks Example which could come up with new features.

> ## 关于本仓库
> * 这是一个把 Tensorflow 整合进 Android APP 的示例项目
> * 本项目借鉴于 [the Mindorks Android TensorFlow Machine Learning Example](https://github.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample)，例子调用了Tensorflow预构建的java库来对拍摄的照片进行目标识别。
> *  由于项目原作者已经暂停维护，所以个人决定重新建立仓库，以提供新特性的支持。


## How to use this repository
`git clone https://gitee.com/zerofreeze/AndroidTensorFlowMachineLearningExample.git` or <br/>
`git clone https://github.com/TongReG/TensorFlow-on-Android-Example.git` and Open the folder with Android Studio 3.0 or newer as an Project.
**You may have to declare the project NDK and SDK path by yourself.**

> ## 使用方法
> 安装Git之后，在终端中执行命令`git clone https://gitee.com/zerofreeze/AndroidTensorFlowMachineLearningExample.git` or <br/>
`git clone https://github.com/TongReG/TensorFlow-on-Android-Example.git`，然后使用Android Studio 3.0以上版本以Open as Project打开文件夹即可。


## Example
<p align="center">
  <img src="https://raw.githubusercontent.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample/master/assets/keyboard_example.png" width="250">
  <img src="https://raw.githubusercontent.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample/master/assets/pen_example.png" width="250">
  <img src="https://raw.githubusercontent.com/MindorksOpenSource/AndroidTensorFlowMachineLearningExample/master/assets/wallet_example.png" width="250">
</p>


### Find this project useful ? :heart:
* Support it by clicking the :star: button on the upper right of this page. :v:

### Credits
* The classifier example has been taken from Google TensorFlow example.

### Contact
* My Userpage in Zhihu.com :  <https://www.zhihu.com/people/ren-sheng-ru-lu>
> * 我的知乎主页： <https://www.zhihu.com/people/ren-sheng-ru-lu>

* Gitee Repository :  <https://gitee.com/zerofreeze/AndroidTensorFlowMachineLearningExample>
> * 本仓库的码云镜像：<https://gitee.com/zerofreeze/AndroidTensorFlowMachineLearningExample>

If you have idea about any improvment in this repository or other TensorFlow questions, welcome to contact me at any time.
> 如果你对改进这些代码有任何意见，随时欢迎来找我交流~~

### References
* [Check out Mindorks awesome open source projects here](https://mindorks.com/open-source-projects)

### License
```
   Copyright (C) 2017 MINDORKS NEXTGEN PRIVATE LIMITED

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
```