已开源：
https://github.com/aidlearning/AidLearning-FrameWork
Aid Learning FrameWork is a Linux system running on Android phone for AI programming. It means that when it is installed, your Android phone owned a Linux system which can run AI program in it. Now we support Caffe, Tensorflow, Mxnet, ncnn, Keras,pytorch,gluoncv, cv2, Git/SSH powerfully.
Furthermore we provide an AI coding develop tool named Aid_code. It can provide you a visual AI programming experience by using Python from zero on our framework!
Now you have a complete linux with a GUI running on Android (Real linux running on the busybox and not virtul environment. So it is faster and almost real-time.) and can tap your AI code on it visually!
Caffe, Tensorflow, Mxnet, ncnn, Keras...Almost include all the AI framework , you don't need to config the AI framework complexly. All build in one !
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-Time 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.
# Energy Star
According to the test on the mainstream smartphone like Samsung, Aid Learning Framework only use 1% power consumption in a whole day (Standby)
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 .....
Need to occupy mobile phone Size
The entry app program（apk） is only 7M，when you install the apk ,the apk will download the depdence of the framework is 350M and 350M examples of AI codes using python. all is about 700M size.
You just need download the aidlux.apkaidlux.apkand install it,it only 7M size.
you can download the The entry app from the other way:
[!Download aidlux.apk directly]http://www.aidlearning.net/downloads/aidlux-09-04.apk)
[!Download aidlux.apk from website](http://www.aidlearning.net)
(no ad,free totally)
