thank for qidiso provide the 中文说明

Aid Learning builds a Linux system with graphical interface 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. Aid Learning supports a list of Top Machine Learning Framework for Deep Learning. Now we support Caffe, Tensorflow, Mxnet, ncnn, Keras, Pytorch,Gluoncv, cv2,scipy.... powerfully build-in. (in order to support deep learning, you no longer need complex configuration and wall-flipping dependency packages).

Furthermore 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,Latest version(>0.72) of Aid Learning can provide a new visual programming experience of touch-and-drag by using Python on our framework (supporting both Python 2 and Python 3)!

In short, Aid Learning has created a Four-in-one 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, Aid Learning can build a perfect learning ecosphere of programming education.

AidLearning is a Linux system running on the Android with GUI, AI and Python support . The AidLearning project which have the Linux+Anroid+AI 3IN1 environments Developed and Maintained by several students from Cas University and Yale University.

Now you have a complete linux with GUI running on Android (Real linux running on the busybox and not virtul environment. So it is faster and almost real-time.) and can write your AI code on it visually using the Python!

Now Release: AidLearning 0.73
What's new:

1. Fixed the bug that apt update failed (ps:The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 8B48AD62925553 NO_PUBKEY 7638D0442B90D010 NO_PUBKEY EF0F382A7B6500)
2. AiCode has major updates:

• The interface and menu were redesigned to fix the bug of floating menu occlusion code.
• 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.

  

• New ui Design Interface (Wizard), now ui design does not require you to write ui code , you can use touch and drag Components to generate ui codes. We have built-in a large number of UI development components，the system will automatically generate ui code, you only need to focus on the core processing code.

3. Redesign the example codes and use the new ui Design method.

4. Because of the importing of touch and drag programming, the development code now adopts the method of separating the ui interface from the personal core processing code. The ui interface code is generated by the system, and the core processing code system also generates the port, you can focus on the part you really want to deal with.

5. Fixed the problem of relying on a small amount of network traffic. Now even if your mobile phone is in flight mode, it can run the system.

6. Update other bugs that affect stability

Update log: AidLearning 0.70-0.72
What's update:

• Full support for Python 3 and python 2, as well as pip3 and pip2 install
  

• Caffe/MXNET/Gluoncv/Tensorflow/ Keras/Pytorch/Opencv4 for Python3 and Python2 are perfectly supported
  

• With the new CVS package, you can easily customize your interface with Python code:

  cvs. setTitle ("Face Recognize")
  cvs. setInput_dict (usr_dict)
  cvs. setSubmitName ("Register your FaceID")
  cvs. setCamX (350,480)
  cvs. setInfoX (320,60)
  

• Now You can use apt (apt-get) to install new packages to improve your Linux Environment...
  

• Some BUGs have been solved, such as:
  Press the home key to return home and then enter the app: Instead of returning to the GUI, the problem is returning to the terminal.
  Reducing dependence on network traffic.
  

• Adding new buttons for running Python 3 and python 2 online for Aid_code IDE
  

• Add the AI Example Center, put some examples on the website, the new examples can be downloaded from the website in the future, in order to prevent the distribution of installation packages too large.
  

• Modified accounts that do not activate the mailbox can be logged in directly, but there are prompts to activate the interface after login...
  
  

http://www.aidlearning.net/downloads/aidlux-06-28.apk (support python2.7 and python3.6.4,support the touch and drag ui design,support automatic code completion)

The app （apk） is only 8M，when you install the apk ,the apk will download the depdence of the linux is 700M and 350M examples of AI codes using python. all is about 1G size to download .So it's recommended that you install it in a WiFi environment.

Important reminder: Click the set 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 example.

• [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

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!')

>>> Tutorial & Guide

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) in the pc to upload ssh's file(id_rsa and id_rsa.pub).

We fixed Graphical User Interface for the Linux on Andorid(It has been pruned by andorid!), so you can use the GUI just like on the pc. For instance, You can use opencv to open and view camera!

Real linux running on the busybox and not virtul environment like VirtulBox. So it is faster and almost real-time

We provide a plenty of examples and by using our framework, you can run it with a tap, and then get a visual log to show the informations or errors.

You can coding on your phone anywhere, anytime. Every inch of fragmentation have been fully utilized. Your creativity can be instantly realized with a flash of inspiration.

According to the test on the mainstream smartphone like Samsung, Aid Learning Framework only use 1% power consumption in a whole day (Standby)

[Watch the video](https://youtu.be/bkvNXgCi3_c)

Facencnn(mobiefacenet ncnn) 15fps in mobile phone

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 .....

We give special thanks to qidiso for his incredible and excellent work in translating AidLearning's documentation to the Chinese language. Find below the contact details of those who have contributed immensely to the AidLearning project.

Email: [email protected]
Website: http://www.aidlearning.net

Medium-- Stories about AidLearning

• VTE (libvte): Terminal emulator widget for GTK+, mainly used in gnome-terminal. Source, Open Issues, and All (including closed) issues.
• iTerm 2: OS X terminal application. Source, Issues and Documentation (which includes iTerm2 proprietary escape codes).
• Konsole: KDE terminal application. Source, in particular tests, Bugs and Wishes.
• hterm: JavaScript terminal implementation from Chromium. Source, including tests, and Google group.
• xterm: The grandfather of terminal emulators. Source.
• Connectbot: Android SSH client. Source
• Android Terminal Emulator: Android terminal app which Termux terminal handling is based on. Inactive. Source.
• Termux: Android terminal and Linux environment - app repository. Source.
• 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