# AidLearning-FrameWork
**Repository Path**: zhangzsw/AidLearning-FrameWork
## Basic Information
- **Project Name**: AidLearning-FrameWork
- **Description**: Build Linux running on the Android with GUI ,Python and AI support. Python+linux+Android+AI 4in1 environments.
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 1
- **Forks**: 1
- **Created**: 2019-07-27
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
**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.md) / thank for qidiso provide the [中文说明](https://www.jianshu.com/p/f6ec13ece792)
**AidLearning** builds a Linux system on Android mobile phone, and supports **GUI**, **Python** and **AI** programming.This means that when it is installed, your Android phone has a Linux system in which you can run Gui programs of python and AI. Now supports a list of Top Machine Learning Frameworks for Deep Learning: **Caffe, Tensorflow, Mxnet(and Gluoncv), ncnn, Keras, Pytorch, Opencv,Scipy** powerfully build-in!
More Than this，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! It means that when it is installed, your Android phone owned a Linux system with GUI which can write and run AI program in it as same as in pc. In addition,Aid Learning can provide a new visual programming experience of **_touch-and-drag_** by using Python on our framework.
At the same time, **AidLearning** provides wifi-based mapping projection technology, which can project the code of mobile phone to PC and interact with **SSH** remote commands and web online. It can also be projected to TV and projector for large screen display.
In short, **AidLearning** has created a 4in1 and touch-and-drag platform for rapid development and learning of **Android+Linux+AI+Python**. It can not only use mobile phones for fragmented programming, but also make full use of the development advantages of the two main operating systems (**Android+Linux**) and the perfect AI terminal advantages of mobile phones. With this advantage, **AidLearning** can build a perfect learning ecosphere of programming education.
## 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 v0.74 now!](http://www.aidlearning.net/downloads/aidlux-07-04.apk)
Other version at:[https://github.com/aidlearning/AidLearning-FrameWork/releases](https://github.com/aidlearning/AidLearning-FrameWork/releases)
The APP （apk） is only 6M，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.
**New release**:
[ Download v0.75 now!](http://www.aidlearning.net/downloads/aidlux-07-18.apk)
this is smaller size version,you can choose the ai framework for python 2/3(caffe/mxnet/tf/torch/keras) to install when u finished the install and launch the gui. the version all is about 650M dependence to download. so,the version can save your disk.
## Support
---
Support AI Framework:
* [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 |
## 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!')
```
## 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).
* 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.
* 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)
* 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.
## 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.
## Examples
---Examples inside
* Facencnn(mobiefacenet ncnn) 15fps in mobile phone (99.78% 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
## 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