scTIM is a convenient tool for cell-type indicative marker detection based on single cell RNA-seq data

DiPPER2: Diagnostic Primer Picking and Evaluation pipeline for Reliability and Reproducibility

Annulus (donuts) grid detection in images

A machine learning approach for pose estimation of hand-drawn marker

Detection of ArUco Markers

Experiments with color marker detection using neural networks for my dissertation

A cheap solution to VR tracking using multiple Wi-Fi based cameras and a light

The goal of this project is to detect, for each frame of any video belonging to the given dataset, the round markers appearing on the turn-table in the video. Such markers are detected, identified and their position and identities are stored as an output.

The goal of this project is to capture the position of the concave corner of each numbered marker per each frame of the video, and store all the information in an output csv file.

Introduction into augmented reality (AR) with Python OpenCV ArUco markers.