https://github.com/olafenwamoses/intellip

IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.
https://github.com/olafenwamoses/intellip

artificial-intelligence artificial-neural-networks imageai kivy machine-learning offline-capable playground python python3 resnet-50 windows

Last synced: 8 days ago
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IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.

• Host: GitHub
• URL: https://github.com/olafenwamoses/intellip
• Owner: OlafenwaMoses
• License: mit
• Created: 2018-03-21T23:13:41.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-07-25T23:53:42.000Z (over 6 years ago)
• Last Synced: 2025-01-20T11:51:00.794Z (13 days ago)
• Topics: artificial-intelligence, artificial-neural-networks, imageai, kivy, machine-learning, offline-capable, playground, python, python3, resnet-50, windows
• Language: Python
• Size: 3.62 MB
• Stars: 21
• Watchers: 4
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# IntelliP

IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the  pictures in your computer into 12 unique and related categories.








        It works by scanning through

        the pictures in your Windows download folder, documents folder, desktop folder, videos folder, pictures

         folder and it's subfolders. It obtains the pictures and run a self-contained Intelligence Module prediction

          on each picture and store the pictures in their respective categories. The Intelligence Module

           is made possible by the ImageAI library

        , that enables applications and systems built with Python to have self-contained image prediction

         capabilities. 
 
You can download the IntelliP Windows installer via this link. 



    


     

    

Dependencies



IntelliP was built using Python 3.5, Kivy (Python UI framework) and ImageAI. The ResNet model is the computer vision model used to power the image prediction. 
The entire source code and resources used in building the IntelliP application is included in  this repository. The source code have the following dependencies: 


 - Python 3.5   
 

          - Tensorflow 1.4.0 


          - Numpy 1.14.2   


          - SciPy 1.0.0  


          - ImageAI 1.0.1  


          - Kivy 1.10.0  


          - Kivy Glew 0.1.9  


          - Kivy SDL2 0.1.17  
 
 In addition to the files contained in this repository, follow this link to 

download the ResNet model used in the Intelligence Module. 
 


Contact Developers



This application was built to demonstrate the potentials contained in the ImageAI

 python library for application and systems developements. You can reach to us via our contacts below:

 



  Moses Olafenwa 


 Website:    https://moses.specpal.science 


 Twitter:      @OlafenwaMoses 


      Medium :      @guymodscientist 


      Facebook :      moses.olafenwa 






      John Olafenwa 


      Website:      https://john.specpal.science 


      Twitter:      @johnolafenwa 


      Medium :      @johnolafenwa 


      Facebook :      olafenwajohn