Facial re-identification is a commodity task in the CV field: there is no rocket science in doing that, at least academically. However, the commercial efficiency of such a solution is still a concern for customers. The article presents a high-performance pipeline developed with the Savant framework, which can be used in doorbell security or video content annotation systems.
Continue reading Facial Identification With Savant, YOLOV5-Face, AdaFace and HNSWLIB
Instance segmentation is an important task in the computer vision field. High-quality instance segmentation couldn’t run in real-time on more than new hardware for a long time. However, recent advances in the CV field have made it possible to run instance segmentation in real-time. The YOLOV8 family, invented and published by Ultralitics, broke through the next frontier of computer vision, enabling object segmenting efficiently. It opens doors for a broad range of applications and increases the quality of CV, which is more important.
Continue reading Real-Time Instance Segmentation With YOLOV8M-seg And Savant Framework
When we develop Savant, we keep in mind that pipelines work in accelerated environments backed with specialized hardware. However, recently Nvidia stepped out of providing end-to-end acceleration in certain products. Specifically, Jetson Orin Nano, Nvidia Tesla A100, and Nvidia Tesla H100 don’t include hardware-accelerated video encoder devices (NVENC).
Continue reading Savant Explained: Software Video Encoder