https://github.com/akhilmhdh/mal-character-recog-flask-server

A flask server for deploying pytorch malayalam character recognition model
https://github.com/akhilmhdh/mal-character-recog-flask-server

cnn deep-learning flask-application pytorch trasnfer-learning

Last synced: 14 days ago
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A flask server for deploying pytorch malayalam character recognition model

• Host: GitHub
• URL: https://github.com/akhilmhdh/mal-character-recog-flask-server
• Owner: akhilmhdh
• License: mit
• Created: 2020-03-27T15:35:10.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T05:07:57.000Z (about 2 years ago)
• Last Synced: 2024-10-05T18:22:01.730Z (3 months ago)
• Topics: cnn, deep-learning, flask-application, pytorch, trasnfer-learning
• Language: Python
• Homepage:
• Size: 174 MB
• Stars: 1
• Watchers: 2
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MAL-Character-Recog-Flask-Server

This project is used for hosting the DL pytorch model of malayalam character recognition. Made in Flask a python framework for backend. Really simple and neat.

## Getting Started

Unix Bash (Linux, Mac, etc.):

```

$ export FLASK_APP=app

$ export FLASK_ENV=development

$ flask run

```

Windows CMD:

```

> set FLASK_APP=app

> set FLASK_ENV=development

> flask run

```

Windows PowerShell:

```

> $env:FLASK_APP = "app"

> $env:FLASK_ENV = "development"

> flask run

```

### Prerequisites

```

FLASK

TORCH

TORCHVISION

NUMPY

```

## Deployment

Currently deployed to heroku using gunicorn. Requirement text is provided with the versions of libraries used. 

## Built With

* [FLASK](https://flask.palletsprojects.com/en/1.1.x/) - The web framework used

* [TORCH](https://pytorch.org/) - The DL model behind it

* [HEROKU CLI](https://devcenter.heroku.com/articles/heroku-cli) - Used for CI in Heroku 

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Contributors :sparkles:

                

                    

                        

                        


                        Akhil Mohan

                    

                

## Acknowledgments

* Pytorch documentation 

* Heroku simplicity loved it 

* Some testing alpha beta