Alphanumeric Recognition
Aplhanumeric Recognition is a web application for detecting handwritten characters as well as digits, which is trained on the EMNIST dataset.
Installation
- Clone the Repo:-
git clone https://github.com/ashish493/alphanumeric_recognition.git
- Install the dependencies:-
pip install -r requirements.txt
- Run the flask server in the app directory:-
python -m flask run
Note: We recommend installing the application in a virtual environment to prevent conflicts with other projects or packages.
If u want to train the dataset yourself, then simply run:-
python cnn_train.py
Demo
Because of the larger slug size, I was not able to host on Heroku. If anyone knows a better hosting site for deployment, u can simply create a issue.
-----> Discovering process types
Procfile declares types -> (none)
-----> Compressing...
! Compiled slug size: 731M is too large (max is 500M).
! See: http://devcenter.heroku.com/articles/slug-size
! Push failed
Meanwhile, I have attached some screenshots of application, after running the server locally.
Outputs
Deployment Options
I have provided the Dockerfile in the repo. U can manually build it to get the Dockerimage and then deploy it on the cloud or on your respective server.
How to Contribute
Since this is a very new project, I would really love your input whether it's :-
- Reporting a bug
- Discussing the current state of the code
- Submitting a fix
- Proposing new features
- PR from the To-Do section
For bugs,discussions or propasing features, simply open/raise an Issue.
For PR's of fixes or new features describe about the fix or feature and then add a screenshot of the working output.
To-Do/Future Improvements
- Hyperparameter optimization
- Neural network pruning
- Displaying top-n predictions
- Load balancer in a cluster
- Add correction and submit options
- Improving the frontend web design
Acknowledgements