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OpenStreetMap in 3D using Python
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Martin Christen
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OpenStreetMap in 3D using Python
1.
© 2015 FHNW
/ IVGI Martin Christen, Daniel Rettenmund martin.christen@fhnw.ch FHNW - Fachhochschule Nordwestschweiz PythonUnconference - September 2015 1 OpenStreetMap in 3D using Python
2.
© 2015 FHNW
/ IVGI Ziel: 3D Service mit Flask aus OSM Daten PythonUnconference - September 2015 2 OSM 3D Import Modellierung Wavefront OBJ X3D X3DOM 3D Portrayal Service
3.
© 2015 FHNW
/ IVGI OpenStreetMap als Datenquelle PythonUnconference - September 2015 3
4.
© 2015 FHNW
/ IVGI PythonUnconference - September 2015 4 Generierung der 3D-Modelle • Gebäudehöhe –Höhenwert oder Anzahl Stockwerke • Dachform –Unterscheidung der häufigsten Typen –Flachdach, wenn keine Angabe [Bildquelle: http://wiki.openstreetmap.org/wiki/Simple_3D_Buildings]
5.
© 2015 FHNW
/ IVGI PythonUnconference - September 2015 5 3D-Portrayal-Service (3DPS) • Aufruf über Webbrowser –Angabe der Parameter in URL (ähnlich wie WMS) http://localhost:5000/3dps?SERVICE=3DPS&REQUEST=GetScene &VERSION=1.0.0&BOUNDINGBOX=1495170,6200358,1502633,6205459 &LAYERS=buildings,roofs,ground,trees&FORMAT=model/x3d+xml –Abspeichern des Modells • Einfacher Viewer –Ansicht des Modells direkt im Browser (X3DOM)
6.
© 2015 FHNW
/ IVGI Resultat PythonUnconference - September 2015 6
7.
© 2015 FHNW
/ IVGI 3dmaps.ch PythonUnconference - September 2015 7 http://rotterdam.3dmaps.ch *) GPU Compression DXT5/S3TC: Compression Ratio 4:1, aber Format nicht unterstützt in Geo-Welt / HTML5 90 CityGML total: 2.72 GB 26'474 Textures à 1024x1024, ca. 77 GB unkomprimert*. Orthophoto: 10'000 Texturen à 4096x4096, ca. 470 GB unkomprimiert*.
8.
© 2015 FHNW
/ IVGI OSM Daten mit 3dmaps.ch PythonUnconference - September 2015 8 Rendered with Renderman (soon: PovRay)
9.
© 2015 FHNW
/ IVGI PythonUnconference - September 2015 9 Will be announced on Twitter... @MartinChristen @3dmaps_ch ...soon on github...
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