Rever Computer Vision Projects with OpenCV and Python 3

Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
1. Auflage 2018
ISBN: 978-1-78995-490-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 182 Seiten

No detailed description available for "Computer Vision Projects with OpenCV and Python 3".

Autoren/Hrsg.

Rever, Matthew

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie

Inhaltsverzeichnis

Table of Contents - Download & install Anaconda for your platform and Introduction to Tool Setup
- Image Captioning with TensorFlow
- Reading license plates with Tesseract & OpenCV
- Human pose estimation with TensorFlow
- Handwritten digit recognition with scikit-learn & TensorFlow
- Facial feature tracking and classification with dlib
- Deep learning image classification with TensorFlow

Über Autor(innen)

Rever Matthew:
Matthew Rever received his PhD. in electrical engineering from the University of Michigan, Ann Arbor. His career revolves around image processing, computer vision, and machine learning for scientific research applications. He started programming in C++, a language he still uses today, over 20 years ago, and has also used Matlab and most heavily Python in the past few years, using OpenCV, SciPy, scikit-learn, TensorFlow, and PyTorch. He believes it is important to stay up to date on the latest tools to be as productive as possible. Dr. Rever is the author of Packt's Computer Vision Projects with Python 3 and Advanced Computer Vision Projects.