/PictoPy

An Image sorter that sorts photos based on face encodings in it.

Primary LanguagePython

Contents

  1. Backend
  2. Project Description (PictoPy)

Backend

Steps to run backend

  1. Head over to /backend after cloning
  2. Create a virtual env by running: python3 -m venv venv
  3. Activate the env by running source venv/bin/activate and install dependancies via pip install requirments.txt
  4. Start the server via ./run.sh (for development mode add the flag --test [RECOMMENDED])
  5. The server should now be hosted on port 8000 on localhost.

Some pointers for the backend

  • Entry point is main.py which calls the routes, currently there is a /test route for developing, to test an image, send a request to the backend (localhost:8000/test/return) with the following Body format:
{
  "path": "<Path to image>"
}

Eg: try it out with path asbackend/tests/inputs/zidane.jpg

  • A window should pop up showing the highlighted detections, simply press q to exit, or comment out the cv2 lines in test.py
  • Change the type of inference by changing model_path variable in app/test route, by default there are two models available in the app/models directory (face and object deteciton).

PictoPy

An open source image sorting tool designed to organize your image collection efficiently.

Features to be Implemented

  1. A dedicated Local Database:

    • A dedicated local database for caching tags, significantly improving the speed and efficiency of image sorting.

  2. Image Recognition Library:

    • Uses an advanced image recognition library for evaluating objects in images along with faces, ensuring a smoother and more accurate sorting process.

  3. Improved UI/UX:

    • A smooth user interface for a more intuitive and pleasant experience.

  4. Multiprocessing Support:

    • Pictopy should supports multiprocessing, optimizing the sorting process and improving overall performance.