April 2025
Intermediate to advanced
690 pages
20h 12m
German
Content preview from 3D-Datenwissenschaft mit Python
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Vorwort
Die Welt um uns herum ist unglaublich vielfältig und, was am wichtigsten ist, dreidimensional. Alles hat eine Position und eine Bedeutung. Um unsere Umwelt besser zu verstehen und aktuelle Fragen zu beantworten, brauchen wir genaue Darstellungen der realen Welt, die in der virtuellen Welt abgebildet werden. Diese Darstellungen werden oft als digitale Zwillinge bezeichnet. Digitale Zwillinge umfassen in der Regel mehr als nur dreidimensionale Bilder, sie enthalten so viele zusätzliche Daten und Informationen wie möglich. Eines haben jedoch fast alle digitalen Zwillinge gemeinsam: Sie benötigen einen dreidimensionalen oder oft sogar vierdimensionalen Grunddatensatz, wenn wir die zeitliche Komponente mit einbeziehen. Daher verändern 3D-Daten unsere Welt in vielen Bereichen, sei es in den Geowissenschaften, bei selbstfahrenden Autos oder in der Medizin.
In 3D Data Science with Python zeigt Florent, warum diese Daten so wertvoll sind und wie man sie effektiv nutzen und einsetzen kann. Es gibt zahlreiche Möglichkeiten, 3D-Daten zu generieren, z. B. photogrammetrische Methoden, um Punktwolken aus Bildern zu erzeugen, Laserscanner, die die Umgebung "scannen", oder MRT-Geräte, die ein Bild des Körpers erstellen, um nur einige zu nennen. All diese Methoden haben gemeinsam, dass sie zwar sehr genaue Daten erzeugen, diesen aber die semantischen Informationen fehlen. Der eigentliche Wert wird durch die Verarbeitung und Analyse der Daten geschaffen. Um diesen Wert zu erreichen, kommt ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.