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Computer Vision Projects with OpenCV and Python 3

You're reading from  Computer Vision Projects with OpenCV and Python 3

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789954555
Pages 182 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Matthew Rever Matthew Rever
Profile icon Matthew Rever
LinkedIn
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.
See other products by Matthew Rever

Table of Contents (9) Chapters

Preface 1. Setting Up an Anaconda Environment 2. Image Captioning with TensorFlow 3. Reading License Plates with OpenCV 4. Human Pose Estimation with TensorFlow 5. Handwritten Digit Recognition with scikit-learn and TensorFlow 6. Facial Feature Tracking and Classification with dlib 7. Deep Learning Image Classification with TensorFlow 8. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Deep Learning for Computer Vision
Rajalingappaa Shanmugamani

ISBN: 978-1-78829-562-8

  • Set up an environment for deep learning with Python, Tensorflow, and Keras
  • Define and train a model for image and video classification
  • Use features from a pre-trained Convolutional Neural Network model for image retrieval
  • Understand and implement object detection using the real-world Pedestrian Detection scenario
  • Learn about various problems in image captioning and how to overcome them by training images and text together
  • Implement similarity matching and train a model for face recognition
  • Understand the concept of generative models and use them for image generation
  • Deploy your deep learning models and optimize them for high performance

Practical Computer Vision
Abhinav Dadhich

ISBN: 978...

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Authors (1)

Profile icon Matthew Rever
LinkedIn
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.
Read more
See other products by Matthew Rever

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