Raspberry Pi Image Processing Programming (PDF)
Develop Real-Life Examples with Python, Pillow, and SciPy
(Sprache: Englisch)
Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform. This concise quick-start guide provides working code examples and exercises. Learn how to...
sofort als Download lieferbar
eBook (pdf)
Fr. 39.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Raspberry Pi Image Processing Programming (PDF)“
Write your own Digital Image Processing programs with the use of pillow, scipy.ndimage, and matplotlib in Python 3 with Raspberry Pi 3 as the hardware platform. This concise quick-start guide provides working code examples and exercises. Learn how to interface Raspberry Pi with various image sensors.
What You Will Learn:
.Understand Raspberry Pi concepts and setup
.Understand digital image processing concepts
.Study pillow, the friendly PIL fork
.Explore scipy.ndimage and matplotlib
.Master use of the Pi camera and webcam
Autoren-Porträt von Ashwin Pajankar
Ashwin Pajankar is a Programmer, a Maker, an Author, a Youtuber, and an Educator with more than 10 years' experience in software design, development, testing, and automation. He graduated from the coveted IIIT Hyderabad, earning an M.Tech in computer science and engineering. He holds multiple professional certifications from Oracle, IBM, Teradata, and ISTQB in development, databases, and testing. He has won several awards in college through outreach initiatives, at work for technical achievements, and community service through corporate social responsibility programs.
Bibliographische Angaben
- Autor: Ashwin Pajankar
- 2017, 1st ed, 126 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 148422731X
- ISBN-13: 9781484227312
- Erscheinungsdatum: 22.03.2017
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 3.72 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Raspberry Pi Image Processing Programming"
0 Gebrauchte Artikel zu „Raspberry Pi Image Processing Programming“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Raspberry Pi Image Processing Programming".
Kommentar verfassen