У нас вы можете посмотреть бесплатно Dragonfly Daily 03 Working with Graphs (skeleton network models) in Dragonfly (2020) или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Hosted by Mike Marsh, Dragonfly Product Manager at ORS Download and Get Started with Dragonfly https://www.theobjects.com/dragonfly/... This is lesson 3 in an ongoing daily tutorial series that teaches new users how to become Dragonfly experts in no time. This lesson introduces users to work with graphs (skeleton network models) Watch the Playlist with all of the Dragonfly Daily tutorials on YouTube http://orss.ca/ytp2 Topics in this tutorial -Applications of Graphs Pore Network Models, Roots, Vasculature in plants and animals, Neuron connectivity -What is a Graph? -Vertices, edge - vertices can store data -Creating a Dense Graph -Creating a Sparse Graph -Measuring Connectivity, Tortuosity, and other properties -Rendering a Graph, Color Size FIBSEM -Create a Graph with OpenPNM -Save as ORS Object Let's Connect 🡆 Twitter- / orsdragonfly3d 🡆 LinkedIn: / object-research-systems 🡆 ORS Website: ORS Website: https://www.theobjects.com 🡆 Sales-related inquiries: sales@theobjects.com 🡆 Support: support@theobjects.com About ORS Object Research Systems (ORS) develops deep learning powered 3D visualization and image analysis software. Dragonfly and Dragonfly Cloud, ORS’ flagship products, provide innovators from leading universities or industries, an advanced machine learning and neural networks based segmentation engine. Dragonfly's quantification tools then provide powerful options for counting, measuring, and characterizing image features, such as pores, fibers, grains, and much more. Its user-friendly experience translates its powerful and accurate quantitative findings in high-impact visuals. The ability to build fully automated workflows also enables reproducible results. #dragonfly #microscopy #deeplearning #imagesegmentation #microCT #FIBSEM #scientificimaging #electronmicroscopy #imageprocessing