Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Deploy Computer Vision solutions with a few lines of code.

A hands-on collection of computer vision projects for everyone.

This project employs computer vision techniques to analyse 8-ball game footage and provide accurate shot predictions to enhance performance.

Vídeos, textos e exemplos ensinando o fundamental das mais recentes versões do Python e do OpenCV

University Thesis project

Automate LinuxCNC with machine vision by detecting and probing holes while reading the dial of a Haimer 3D Sensor

An AI-powered fitness tracker that uses real-time pose estimation to count reps, monitor form, and provide instant feedback for exercises like squats, push-ups, and bicep curls. Designed for accuracy, motivation, and adaptability

This repository details the various methods I have attempted for skin segmentation.

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

Legacy C language Image Processing and Computer Vision OpenCV Examples used for Teaching

Water level detection using draft marker readings, through the means of computer vision, machine learning and optical flow methods

Final project titled "Point Cloud Segmentation and Object Tracking using RGB-D Data" for the Machine Vision (EE 576) course.

Repairing old photos with OpenCV, starting from the masking process all the way up to the inpainting algorithm from Telea. This can also be used to just remove undesired items from images.

Detect traffic lights and their locations from images using computer vision

Computer vision project to perform real time license plate detection and OCR to read license plate text and make entry in a database

An environment is being developed where ingenious ideas in fields such as image processing and AI can be implemented more rapidly—without the need to write code or face technical limitations—through the seamless integration of nearly all image processing techniques. It will also soon be used for the preparation of experimental datasets.