Computer Vision Lab
Nikolay Falaleev
Interesting Articles
A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods and Hardware.
Here you can find interesting articles, How-Tos and many other useful materials, which are not related to a particular project.
Practical advice on achieving better calibration accuracy in real-world scenarios while addressing common pitfalls and OpenCV model selection strategies.
Physical and optical considerations of accurate real-world camera calibration - practical tips and techniques.
Comparison of the direct OpenCV camera calibration method with an approach based on a homography matrix.
Application of Deep Learning in Sports and similarities with the Self-Drivind field.
An approach to generate camera calibration values from football broadcast videos.
Benchmark results of GTX 1080 TI, RTX 2080Ti, 3090 and 4090 on DL tasks.
Balancing temporal and spatial losses for simultenious training of multi-task neural networks for video processing and some data tips.
Comparation of Nvidia RTX 2080 Ti with GTX 1080 Ti and 1070.
A set of instruction to run a modern version of the deep learning framework TensorFlow on AMD Ryzen.