Ag RGB rest API

This rest API is developed to detect mungbean leaf diseases using image processing. This API receives an Image and process it and evaluate it with our ML model. It replies with a JSON response which includes the detected disease.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

• Python 3.7
• Flask
• Tensorflow
• Keras
• OpenCV

pip install --upgrade tensorflow
pip install Flask
pip install opencv-python

Installing

Please follow the following steps to set up your development environment.

Set up your virtual environment

pip install virtualenv
python3 -m venv env
source env/bin/activate
env/Scripts/activate (Windows)

Run the app

python app/run.py

Deployment

Deploy the the dockerized app to heroku

Appropriate files are given.

• Dockerfile
• heroku.yml

Built With

• Flask - The web framework used
• OpenCV - Image Processing tool

Authors

• Sudipto Baral - Initial work - sudiptob2

See also the list of contributors who participated in this project.

License

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

Acknowledgments

• Hat tip to anyone whose code was used
• Department of EEE Patuakhali Science and Technology University