# AidLearning **Repository Path**: icorecool/AidLearning ## Basic Information - **Project Name**: AidLearning - **Description**: AidLearning App在Android手机上构建了一个带图形界面的Linux系统(不需要root)，和你的Android系统共生共存，并内置了目前排名top7的深度学习框架 - **Primary Language**: Python - **License**: Not specified - **Default Branch**: master - **Homepage**: https://www.oschina.net/p/aidlearning - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 15 - **Created**: 2019-09-09 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![](image/logo.png)[中文版](intr.md) **AidLearning** is a Linux system running on the Android with GUI, Deep-Learning and Python Visual Programming support . The [AidLearning](http://www.aidlearning.net) framework which have the Linux+Anroid+AI+Python 4in1 environments Developed and Maintained by several students from [Cas University](http://english.cas.cn) and [Yale University](https://www.yale.edu). ### Table of Contents - ⚘ introduce - ⚘ Dependencies - ⚘ Installation - ⚘ Support Powerfully - ⚘ Touch and Drag Style Programming - ⚘ SSH (pc connected) - ⚘ Aid_code IDE of python - ⚘ Examples inside - ⚘ References # Introduce [![License](https://img.shields.io/badge/license-BSD--3--Clause-blue.svg)](license.md) AidLearning App builds a ***graphical interface Linux*** system (without need root) **on Android phones** and coexists with your Android system. The App has a built-in system of leading deep learning frameworks, including ***Caffe, Tensorflow, Mxnet, pytorch, keras, ncnn and opencv***. You no longer need complex configuration, wall-turning downloads and Install dependency packages. AidLearning is also a ***pocket AI programming tool***. The built-in AICode visual IDE allows you to easily program on your mobile phone with Python (supporting Python 2 and Python 3), support ***touch-and-drag*** interface design, support real-time debugging and graphical running of codes. AidLearning has a large number of AI source code examples, which include face recognition, pose recognition and classification. You can develop the AI App on mobile phones on a ***zero-based*** basis. In addition, AidLearning provides wifi-based mapping projection technology, which can project mobile phone code to PC for Web interactive programming and ***SSH*** remote command interaction. Easy viewing on televisions and the ability to projector for large screen display, ensures the ability to present in group settings. In short, AidLearning has created a touch-and-drag programming platform for rapid development and learning that combines ***Android + Linux + AI 3IN1 environments***. It utilizes mobile phones for fragmented programming and fully optimizes use of the development advantages of the two major operating systems (Android + Linux) and the perfect terminal advantages of mobile phones. AidLearning offers a distinct advantage to its users through an effective new platform for programming learning and development. AidLearning App在Android手机上构建了一个带图形界面的Linux系统(不需要root)，和你的Android系统共生共存，并内置了目前排名top7的深度学习框架包括Caffe、Tensorflow、Mxnet、pytorch、keras、ncnn、opencv，你不再需要复杂的配置和翻墙安装依赖包。 AidLearning同时是一款口袋AI编程工具，内置的AiCode可视化编程器，可以让你在手机上用python（同时支持Python2和Python3）轻松零基础编程，支持触摸拖拽式界面设计 ，支持代码实时调试和图形化运行。Aid Learning内置大量人脸识别、行为识别、分类等AI源码例子程序，你可以零基础在手机上开发AI App。 此外，Aid Learning提供了基于wifi的映射投屏技术，可以把手机的代码投屏到电脑pc进行web互动编程和SSH远程命令交互，同时也可投影到电视机、投影仪进行大屏显示。 总之，Aid Learning打造了一个Android+Linux+AI 三合一的触摸拖拽式的快速开发和学习平台，不仅可利用手机进行碎片式编程，同时可充分利用两大主流操作系统（Android+Linux）的开发优势和手机的完美终端优势，利用这种优势，Aid Learning打造了一个完美的编程学习和开发的新平台。 [更多中文介绍请参考!]（https://www.jianshu.com/u/d319e817a013) ![screen](image/Screen_11.jpg) ## Dependencies All you need is an Android devices (phone ,tablet or arm board) that supports the CPU of **Arm64(aarch64)**. The Android version requires more than 6.0. If you think the parameters are not clear enough, I would like to say that most of the mainstream mobile phones support it, such as _Samsung, Huawei, MI, OPPO, VIVO, nubia_ etc. In addition, the requirement of storage space is a little big. It is suggested that there should be **2G** free storage space. ## Installation To install **AidLearing**, Simply download an App (apk file) and install it on your mobile device. download newest version at : [ Download v0.76 now!](http://www.aidlearning.net/downloads/aidlux-09-04.apk) Other version at:[https://github.com/aidlearning/AidLearning-FrameWork/releases](https://github.com/aidlearning/AidLearning-FrameWork/releases) The APP （apk） is only 9M，when you install the apk and launch,the apk will auto download the dependence of the linux and examples of codes . all is about 1G size to download .So it's recommended that you install it _in a wifi environment_. **Important reminder:** Click the setting icon after entering the desktop, the dialog box for the camera permission will pop up, please click agree, if you want to use the built-in examples.
[Download v0.76 for chinese version now!](http://www.aidlearning.net/downloads/aidlux-09-04.apk) ## Support --- Support AI Framework: ![frame](image/frame.png) * [Caffe]https://github.com/BVLC/caffe * [Tensorflow]https://github.com/tensorflow/tensorflow * [Mxnet]https://github.com/apache/incubator-mxnet * [Keras]https://github.com/keras-team/keras * [ncnn]https://github.com/Tencent/ncnn * [pytorch]https://github.com/pytorch/pytorch * [opencv]https://github.com/opencv/opencv --- Support Python2.7 and Python3.6.4: | AidLearning | Python2.7 | Python3.6| | --------- | -------- | -----: | | caffe | ✓1.0.0 | ✓ 1.0.0| | mxnet | ✓1.0.0 | ✓1.5.0 | | tensorflow | ✓1.10.0 | ✓1.5.0 | | Gluoncv | ✗ | ✓ 0.40| | Keras | ✓2.2.4 | ✓2.2.4 | | Pytorch | ✗ | ✓1.1.0 | | Opencv(cv2) | ✓2.4.9 | ✓3.4.6 | | Scipy | ✓0.18.1 | ✓1.3.0 | | Numpy | ✓1.14.5 | ✓1.16.3 | ![screen](image/Aiframe.png) ## Touch_and_Drag_Programming Now you can easily customize your GUI with touch and drag using wizard！Wizard will produce the code automatic like this: ``` class MyApp(App): def __init__(self, *args): super(MyApp, self).__init__(*args) def main(self): container = gui.VBox(width=120, height=100) self.lbl = gui.Label('Hello world!') self.bt = gui.Button('Press me!') # setting the listener for the onclick event of the button self.bt.onclick.do(self.on_button_pressed) # appending a widget to another, the first argument is a string key container.append(self.lbl) container.append(self.bt) # returning the root widget return container #listener function def on_button_pressed(self, widget): self.lbl.set_text('Button pressed!') self.bt.set_text('Hi!') ``` ![drag_touch](image/drag_touch.png)

更多请阅读[Wizard-触摸拖拽式设计你的界面](https://github.com/aidlearning/AidLearning-FrameWork/blob/master/gui_wizard/README.md) ## SSH * PC can connect to mobile by using **ssh-keygen**. Generate a new key pair with ssh-keygen command in your PC. the command ssh-keygen produce the file of id_rsa and id_rsa.pub in the dir: ~/.ssh/ * Just need you do: open the url:mobilephone'sip:8910/upload(for example:http://192.168.1.6:8910/upload) on the pc to upload ssh's file(id_rsa and id_rsa.pub). ![sdcard](image/ssh.png) * upload finished , just restart the app on the android ,open the terminal the type this command like this to connect: ``` ssh u0_a311@192.168.1.6 -p8022 ``` ## Aid_code * We provide an AI coding develop tool named **Aid_code**. It can provide you a visual AI programming IDE by using Python from zero on our framework! Using the tool, you can run your python2 or python3 codes online. So ,you can coding with Aid_code IDE on your phone anywhere, anytime. ![sdcard](image/Screenshot_2019-07-06-12-21-02-38.png) * Of course, you can use Aid_code on the web to edit your code online. For example, you can use web coding with Aid_code on PC. You just need to open the web address: IP of your mobile phone:8900/, when your PC and mobile phone are in the same LAN. You can open it on a PC, for example: http://192.168.1.8:8900/ assume your phone's IP is 192.168.1.8, you can check your phone's IP by commanding ifconfig (run ifconfig command under terminal) ![sdcard](image/A15101DB465CDCCA18796F76D8121483.png) * code IntelliSense: New code auto-prompting function, if you input the initial letters of variables, functions and keywords, the system will automatically complete , which can greatly improve efficiency.

深入了解Gui开发原理请阅读[cvs-强大的图形界面开发包](https://github.com/aidlearning/AidLearning-FrameWork/blob/master/gui_cvs/README.md) ## Files transfer * The sdcard directory on your Android phone has been mapped to the / sdcard directory under AidLearning * If you install QQ Instant Messaging Tool, the file directory transferred through QQ is mapped to / sdcard / Tencent / QQfile_recv / directory. ![sdcard](image/sdcardshow.png) * **Most Easy way:** You just need to open the web address: IP of your mobile phone:8080/, when your PC and mobile phone are in the same LAN. You can open it on a PC, for example: http://192.168.1.8:8080/ then hit the upload button to upload the pc file to your mobile,or hit the download button to download the files of mobile to the pc. ![fileupload](image/fileupload.png) ## Examples ---Examples inside * Facencnn(mobiefacenet ncnn) 15fps in mobile phone (99.83% in LFW) * Face Landmark (106 keypoints ncnn) 15fps in mobile phone * handpose (tensorflow ) 5fps in mobile phone * body posenet for single person(converted from google ) 10fps in mobile phone * body posenet for multi-person(converted from google ) 7fps in mobile phone * Stylized picture(GAN ) 3fps in mobile phone ![examle](image/examle.png)

## Privacy Policy * Additional camera-based (camera) features: You can use this additional feature to capture camera video frames, making it easier to run python programs and view running results. * Mobile storage access: Our platform will read the package downloaded from the mobile phone, and users can download and use more third-party package. ## References * VTE (libvte): Terminal emulator widget for GTK+, mainly used in gnome-terminal. [Source](https://github.com/GNOME/vte), [Open Issues](https://bugzilla.gnome.org/buglist.cgi?quicksearch=product%3A%22vte%22+), and [All (including closed) issues](https://bugzilla.gnome.org/buglist.cgi?bug_status=RESOLVED&bug_status=VERIFIED&chfield=resolution&chfieldfrom=-2000d&chfieldvalue=FIXED&product=vte&resolution=FIXED). * iTerm 2: OS X terminal application. [Source](https://github.com/gnachman/iTerm2), [Issues](https://gitlab.com/gnachman/iterm2/issues) and [Documentation](http://www.iterm2.com/documentation.html) (which includes [iTerm2 proprietary escape codes](http://www.iterm2.com/documentation-escape-codes.html)). * Konsole: KDE terminal application. [Source](https://projects.kde.org/projects/kde/applications/konsole/repository), in particular [tests](https://projects.kde.org/projects/kde/applications/konsole/repository/revisions/master/show/tests), [Bugs](https://bugs.kde.org/buglist.cgi?bug_severity=critical&bug_severity=grave&bug_severity=major&bug_severity=crash&bug_severity=normal&bug_severity=minor&bug_status=UNCONFIRMED&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&product=konsole) and [Wishes](https://bugs.kde.org/buglist.cgi?bug_severity=wishlist&bug_status=UNCONFIRMED&bug_status=NEW&bug_status=ASSIGNED&bug_status=REOPENED&product=konsole). * hterm: JavaScript terminal implementation from Chromium. [Source](https://github.com/chromium/hterm), including [tests](https://github.com/chromium/hterm/blob/master/js/hterm_vt_tests.js), and [Google group](https://groups.google.com/a/chromium.org/forum/#!forum/chromium-hterm). * xterm: The grandfather of terminal emulators. [Source](http://invisible-island.net/datafiles/release/xterm.tar.gz). * Connectbot: Android SSH client. [Source](https://github.com/connectbot/connectbot) * Android Terminal Emulator: Android terminal app which Termux terminal handling is based on. Inactive. [Source](https://github.com/jackpal/Android-Terminal-Emulator). * Termux: Android terminal and Linux environment - app repository. [Source](https://github.com/termux/termux-app). * remi:Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.[Source] (https://github.com/dddomodossola/remi). * [Caffe]https://github.com/BVLC/caffe * [Tensorflow]https://github.com/tensorflow/tensorflow * [Mxnet]https://github.com/apache/incubator-mxnet * [Keras]https://github.com/keras-team/keras * [ncnn]https://github.com/Tencent/ncnn * [pytorch]https://github.com/pytorch/pytorch * [opencv]https://github.com/opencv/opencv