Computer Vision Lab
Nikolay Falaleev
Blog
A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is the application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods, and Hardware.
All of the blog post materials are available here.
A practical guide to upgrading MLOps infrastructure by dockerizing MLflow, decoupling storage with PostgreSQL and MinIO, and performing a migration from local SQLite to a production-ready setup.
Benchmarking the top consumer-grade Nvidia Blackwell GPU against previous generations in Computer Vision and LLM applications.
Analysis of cost-effective use of Intel iGPUs with ipex-llm to accelerate VLMs and LLMs with detailed benchmarks and practical setup instructions.
Classical strategies and learning-based approaches for achieving accurate multicamera calibration in real-world.
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.