image-processing-python

Lynx is a project combining several smaller OpenCV initiatives developed for the Hackberry YSWS event, featuring various image processing functionalities on its website.

Transforming images into code at a click. Upload a photo or screenshot and copy the code to your script in seconds!

Image Optimizer

The project is based on the use of classical image processing methods to solve the problem of creating a clean plate. On the basis of a set of photos taken on an identical background, objects that move are removed in such a way as to obtain a photo containing only the background

Python-based web application for applying various image filters, removing noise, and adjusting image properties. Built with Flask and OpenCV. Features real-time previews and easy image uploads.

This app classifies images into predefined categories by training a Convolutional Neural Networks (CNNs) model. It provides real-time predictions with a user-friendly interface for uploading and classifying images. It is hosted on Azure. Technologies used: Python, TensorFlow, Keras, Flask, Azure

AI-powered background remover that automatically removes backgrounds from images, delivering clean, transparent results through a simple and responsive web interface.

A professional AI-powered background remover and image enhancer that works completely offline.

🔍 Analyze bacterial lineage, growth, and morphology with an automated pipeline for insightful, publication-ready results from TrackMate exports.

Virtual Dressing Room is an interactive, real-time application that lets users try on different shirts using their webcam.