Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art object detector algorithm You Only Look Once (YOLO) and the object tracking algorithm Simple Online and Realtim...

Descripción completa

Detalles Bibliográficos
Autores principales: Durve, Mihir, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Tucny, Jean-Michel, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Regular Article - Flowing Matter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167152/
https://www.ncbi.nlm.nih.gov/pubmed/37154834
http://dx.doi.org/10.1140/epje/s10189-023-00290-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167152/
https://www.ncbi.nlm.nih.gov/pubmed/37154834
http://dx.doi.org/10.1140/epje/s10189-023-00290-x

Ejemplares similares