Project to find association between crop and original image using SIFT (Scale-invariant Feature Transform).

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.

All the ML code (independent of the website) is in the ML folder. It also contains the JSON file that contains all the crop associations for given dataset.

You can find the dataset here - https://drive.google.com/open?id=10dssv1syyIb0YO2WqsLs3IV1WpvRYsIm

A python 3.6 environment is recommended to run this project. Requirements can be installed using the command

pip install -r requirements.txt

Open the project folder and run migrations, This is necessary for creating the database tables

python manage.py makemigrations sift

python manage.py migrate 

Run the server and go to localhost:8000 in the browser.

python manage.py runserver

Add additional notes about how to deploy this on a live system

• OpenCV
• Pillow
• Numpy
• Matplotlib
• Django [Web Framework]
• HTML,CSS,Bootstrap [Frontend]

• Priyesh Vakharia - Priyesh1202
• Saurav Kanegaonkar - Saurav-Lellouch
• Riya Gupta - RiyaGupta99
• Parth Shah - Parth576

• OpenCV SIFT Documentation