Skip to content

IliesChibane/Web-Application-For-Arabic-OCR-Using-Deep-Learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DL-Arabic-OCR

    In this project we will create deep learning models and data augmentation techniques using different librairies like tensorflow and pytorch for arabic optical characther recognition.

Requirements

  • Python 3.8

  • CUDA 11.7

  • anaconda-navigator

Setup

    Create an annaconda environement and use this command to install all the neccesary librairies

pip install numpy pandas matplotlib seaborn scikit-learn opencv jupyter flask tensorflow torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117

After this all you need to do is start coding using your code editor of your choice

Download the model

The model being too heavy to be push on github it has to be download from this google drive link Once done all you need to do is to put the model on the tf-file folder