Appendix 1. Other Books You May Enjoy
If you enjoyed this book, you may be interested in these other books by Packt:
Machine Learning for OpenCV Michael Beyeler
ISBN: 978-1-78398-028-4
- Explore and make effective use of OpenCV's Machine Learning module
- Learn deep learning for computer vision with Python
- Master linear regression and regularization techniques
- Classify objects such as flower species, handwritten digits, and pedestrians
- Explore the effective use of support vector machines, boosted decision trees, and random forests
- Get acquainted with neural networks and Deep Learning to address real-world problems
- Discover hidden structures in your data using k-means clustering Get to grips with data pre-processing and feature engineering
Computer Vision with Python 3 Saurabh Kapur
ISBN: 978-1-78829-976-3
- Working with open source libraries such Pillow, Scikit-image, and OpenCV
- Writing programs such as edge detection, color processing, image feature extraction, and more
- Implementing feature detection algorithms like LBP and ORB
- Tracking objects using an external camera or a video file
- Optical Character Recognition using Machine Learning.
- Understanding Convolutional Neural Networks to learn patterns in images
- Leveraging Cloud Infrastructure to provide Computer Vision as a Service
