scTIM is a convenient tool for cell-type indicative marker detection based on single cell RNA-seq data
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Updated
Jun 3, 2020 - Python
scTIM is a convenient tool for cell-type indicative marker detection based on single cell RNA-seq data
Annulus (donuts) grid detection in images
Detection of ArUco Markers
A machine learning approach for pose estimation of hand-drawn marker
A cheap solution to VR tracking using multiple Wi-Fi based cameras and a light
Experiments with color marker detection using neural networks for my dissertation
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.
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