Learning OpenCV 5 Computer Vision with Python - Fourth Edition by Joseph Howse; Joe Minichino
Size:18 MB (19153439 bytes)
Extension:epub
Author(s): Joseph Howse; Joe Minichino
Publisher: Packt Publishing, Year: 2023
ISBN: 9781803230221
"Learning OpenCV 5 Computer Vision with Python - Fourth Edition" by Joseph Howse and Joe Minichino is a book that focuses on computer vision concepts and how to implement them using OpenCV (Open Source Computer Vision Library) with Python programming language. OpenCV is a popular open-source library used for computer vision and image processing tasks.
Some of the topics covered in "Learning OpenCV 5 Computer Vision with Python" may include:
- Introduction to computer vision: Understanding the basics of computer vision, image processing, and image manipulation concepts.
- OpenCV fundamentals: Learning the basics of OpenCV library, including image and video processing, image transformation, feature detection, and image stitching.
- Image processing: Applying various image processing techniques such as filtering, thresholding, edge detection, and image enhancement using OpenCV.
- Computer vision tasks: Implementing computer vision tasks such as object detection, object tracking, facial recognition, and image segmentation using OpenCV.
- Machine learning for computer vision: Applying machine learning techniques such as SVM, KNN, and deep learning with OpenCV for computer vision tasks.
- Advanced topics: Exploring advanced topics such as camera calibration, stereo vision, 3D reconstruction, and augmented reality using OpenCV.
The book aims to provide readers with a comprehensive understanding of computer vision concepts and practical implementation using OpenCV with Python. It may be suitable for readers who have a basic understanding of Python programming and want to learn how to apply it in the context of computer vision. It's always recommended to refer to the book itself for detailed explanations, examples, and exercises.