We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Rendering complex 3D-Geodata using pyRT

Formal Metadata

Title
Rendering complex 3D-Geodata using pyRT
Title of Series
Number of Parts
160
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
Rendering complex 3D-Geodata using pyRT [EuroPython 2017 - Talk - 2017-07-12 - Arengo] [Rimini, Italy] PyRT (pronounced "pirate") is a rather new open source project creating a ray tracer in pure Python and some optional CPU/GPU acceleration using bindings. Ray tracing is a technique for generating an image by tracing the path of light. PyRT was created to render large 3D City models. In this talk, the possibilities and experiences of ray tracing in Python using pyRT are shown. pyRT also runs in the Jupyter Notebook. Rendering complex 3D-Geodata, such as 3D-City models with an extremely high polygon count and a vast amount of textures at interactive framerates is still a very challenging task, especially on mobile devices. This talk presents an approach for processing, caching and serving massive geospatial data in a cloud-based environment for large scale, out-of-core, highly scalable 3D scene rendering in a web-based solution. PyRT is used for rendering large amounts of geospatial data. The approach for processing, rendering and caching 3D-City Models is shown.