Coder Social home page Coder Social logo

prateekralhan / streamlit-based-duplicate-images-finder Goto Github PK

View Code? Open in Web Editor NEW
16.0 1.0 4.0 13.83 MB

A streamlit based webapp to find duplicate images from single/multiple directories.

License: Apache License 2.0

Python 97.55% Shell 0.85% Dockerfile 1.43% Procfile 0.17%
opensourceforgood python3 streamlit-webapp difpy

streamlit-based-duplicate-images-finder's Introduction

Streamlit based Duplicate Images Finder ๐Ÿ“ท Project Status: Active

A streamlit based webapp to find duplicate images from single/multiple directories based on difPy built by elisemercury

demo1

demo2

Installation:

  • Simply run the command pip install -r requirements.txt to install the necessary dependencies.

Usage:

  1. Simply run the command:
streamlit run app.py
  1. Navigate to http://localhost:8501 in your web-browser.
  2. By default, streamlit allows us to upload files of max. 200MB. If you want to have more size for uploading images, execute the command :
streamlit run app.py --server.maxUploadSize=1028

Results


The sample dataset used for the demo can be found here.

Duplicate Images' Search within Single Directory Duplicate Images' Search within 2 Directories
pic1 pic3
pic2 pic4

Running the Dockerized App

  1. Ensure you have Docker Installed and Setup in your OS (Windows/Mac/Linux). For detailed Instructions, please refer this.
  2. Navigate to the folder where you have cloned this repository ( where the Dockerfile is present ).
  3. Build the Docker Image (don't forget the dot!! ๐Ÿ˜„ ):
docker build -f Dockerfile -t app:latest .
  1. Run the docker:
docker run -p 8501:8501 app:latest

This will launch the dockerized app. Navigate to http://localhost:8501/ in your browser to have a look at your application. You can check the status of your all available running dockers by:

docker ps

streamlit-based-duplicate-images-finder's People

Contributors

prateekralhan avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.