Open-source
Pupil Tracking GPU
This repo. contains the update version of this software, is a GPU version of the pupil tracking algorithm. The GPU version is 15 times faster than the CPU version. The GPU version is implemented in C++ and CUDA, and it can be used in Windows and Linux. The CPU version is implemented in C++, and it can be used in Windows and Linux too.
Basic features:
1. Fast
2. Accurate
3. Various algorithms
4. Sequential and parallel versions C++/CUDA
Blob Finder
1. This repository provides a fast and accurate implementation of a log-based blob finder in C++.
2. The algorithm follows the scikit-image implementation in Python, ensuring consistency and reliability.
3. Suitable for high-performance applications requiring efficient blob detection in large datasets.
EllipseFit CUDA
GPU Ellipse Fit: This repository provides a highly optimized GPU-based implementation for fitting ellipses to data points. The algorithm leverages CUDA to achieve significant speedups compared to traditional CPU-based methods.
Applications: The GPU Ellipse Fit is suitable for real-time applications such as computer vision, object detection, and image processing, where high performance and accuracy are critical.