/sift-image-crop-association

Project to find association between crop and original image using SIFT

Primary LanguagePython

sift-image-crop-association

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

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.

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

Prerequisites and Installing

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

Request you to change up the paths used in views.py and sift-feature-matching.py as absolute paths were used. Will fix this at a later time.

Finally run the server and enter the localhost address that is returned

python manage.py runserver

Deployment

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

Built With

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

Authors

Acknowledgments

  • OpenCV SIFT Documentation