# tensorflow_lite_mobile **Repository Path**: sanyusily/tensorflow_lite_mobile ## Basic Information - **Project Name**: tensorflow_lite_mobile - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-12-19 - **Last Updated**: 2024-01-07 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # tensorflow_lite_mobile #### 介绍 {**以下是 Gitee 平台说明,您可以替换此简介** Gitee 是 OSCHINA 推出的基于 Git 的代码托管平台(同时支持 SVN)。专为开发者提供稳定、高效、安全的云端软件开发协作平台 无论是个人、团队、或是企业,都能够用 Gitee 实现代码托管、项目管理、协作开发。企业项目请看 [https://gitee.com/enterprises](https://gitee.com/enterprises)} #### 软件架构 软件架构说明 #### 安装教程 1. xxxx 2. xxxx 3. xxxx #### 使用说明 1. xxxx 2. xxxx 3. xxxx #### 参与贡献 1. Fork 本仓库 2. 新建 Feat_xxx 分支 3. 提交代码 4. 新建 Pull Request #### 特技 1. 使用 Readme\_XXX.md 来支持不同的语言,例如 Readme\_en.md, Readme\_zh.md 2. Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com) 3. 你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目 4. [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目,是综合评定出的优秀开源项目 5. Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help) 6. Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/) ======= # Android TensorFlow Lite Machine Learning Example [![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/Android-TensorFlow-Lite-Example/blob/master/LICENSE) ## About Android TensorFlow Lite Machine Learning Example * This is an example project for integrating [TensorFlow Lite](https://www.tensorflow.org/mobile/tflite/) into Android application * This project include an example for object detection for an image taken from camera using TensorFlow Lite library. # [Read this article. It describes everything about TensorFlow Lite for Android.](https://letslearnai.com/2018/03/17/android-tensorflow-lite-machine-learning-example.html)



### 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. [Check out Mindorks awesome open source projects here](https://mindorks.com/open-source-projects) ### License ``` Copyright (C) 2018 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. ``` ### Contributing to Android TensorFlow Lite Machine Learning Example Just make pull request. You are in!