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Video stabilization is a software-based approach (using OpenCV and its CUDA backend) in real-time to eliminating environmental effects (wind, heavy vehicle etc.) and enhance the visual performance that degrade video streaming quality.
Video stabilization is a software-based approach (using OpenCV and its CUDA backend) in real-time to eliminating environmental effects (wind, heavy vehicle etc.) and enhance the visual performance that degrade video streaming quality.
Integrates NVIDIA GPUs for HPC and edge computing. Leveraging CUDA, Jetson, and Triton Inference Server, it offers real-time data processing with Kafka and Spark. Scalable microservices with Spring Boot, Docker, Kubernetes, robust security, and CI/CD with Jenkins make it ideal for advanced computational tasks. @NVIDIA
This project showcases real-time image and video compression using OpenCV in C++. The code allows users to choose between image or video compression and specify the compression level. The project utilizes multithreading to achieve efficient compression performance.