Python Image Search Engine with OpenCV

In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

A collection of C# projects translated from Adrian Rosebrock excellent python examples using OpenCV

Find motion and objects in video files

Waste Classification and Segregation Using Machine learning.

This is my 2019 final year computer elective project

OpenCV scripts

Web scrapping for images from google search and youtube videos

Reimplementation of TripoSR for 2D-to-3D object reconstruction

Small projects that arose from curiosities in random topics

Detecting and counting cars on the video

Face Blurring using OpenCV.

IPM/'Birds Eye View' Document Scanner. Throwaway tool using OpenCV + PySimpleGUI

This is an incomplete implementation of pyimagesearch library based on "deep learning for computer vision with python" book. reference: https://www.pyimagesearch.com

Object detection models made using OpenCV and the Tensorflow Object Detection API.

Code of OpenCV basics from pyimagesearch!

Object detection using YOLOv3 and object tracking using centroid tracking.

This python project is made to recognise faces in pictures using deep learning models, specifically known as deep metric learning (see README.md)

Detect and classify traffic signs using a hybrid CNN and YOLOv5 pipeline for the GTSRB dataset with a ready-to-run Python project.