Python OpenCV

An image manipulation library for Kotlin

Serve images and apply transformations on-the-fly

This command line tool can be used to collect image dataset from BeamNG gameplay and supports calculating neuron coverage of a DNN model. It can be extended to create a neuron coverage guided testing tool to generate test cases for simulation-based testing of DNN-based self-driving vehicles

An instrument called a "bitmap" that performs the following tasks: Read and write bitmap image files. Apply basic image processing algorithms. Manipulate and transform bitmap images.

Android application for Zomato filters and some image transformations.

This package provides an easy way to upload images and videos from the front-end to the Cloudinary platform.

Applying Geometrical Transformations On An Image.

8bit like image transforming engine in JavaScript(embedded in HTML)

A projective transformation of an image

Object detection and classification model based on CNN using YOLOv3 along with some image enhancement techniques.

The code is primitive attempt to achieve video stabilization using OpenCV and without Deep Learning approach. It uses foundational computer vision techniques like feature detections, optical flow, transformation and warping.

Some algorithms in digital image processing.

A useful tool for creating datasets with characteristics of x-ray images

A four point image manipulator for GameMaker 2.3+

This Repository contains basic computer vision algorithms

Istanbul Traffic Object Detection using YOLOv8 is a real-time deep learning system that detects and classifies key traffic objects—cars, buses, bicycles, motorcycles, and pedestrians—in Istanbul street scenes. Using the lightweight YOLOv8n model, the project automates traffic monitoring, enhances urban mobility analysis.

Successfully developed an image classification model using PyTorch to classify two types of oral diseases, namely caries and gingivitis.

Digital Image Processing by OpenCV

This repository is intended to demonstrate and implement the fundamental topics in Computer Vision