Introduction to Computer Vision with OpenCV - Projects

Presentation

These are projects I did for the OpenCV.org course on Computer Vision. Each of them were completed in February 2020 and led to the grade of 90% in C++ and 100% in Python.

Link to the repository here .

Projects

Blemish Removal (C++)#

Select a blemish to remove by clicking on it. Will select the best patch around and apply it on the selected area.

Preview

Document Scanner (Python)#

Open a picture of a document, adjust the contrast and brightness to perform an extraction with a homography.

Preview 1

Ability to adjust the corner if the detection failed and save the extracted document.

Preview 2

Detection & Tracking (C++ & Python)#

This project consisted in detection a soccer ball and track it as long as possible. When the tracker is unable to continue, the detector should kick-in every 5 frames. Tracker is KCF and detector is YoLo V3.

Video

© Antoine Cougny - 2020 - Theme used is @hugo-theme-codex

Introduction to Computer Vision with OpenCV - Projects