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Mastering OpenCV 4 with Python

You're reading from  Mastering OpenCV 4 with Python

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789344912
Pages 532 pages
Edition 1st Edition
Languages
Author (1):
Alberto Fernández Villán Alberto Fernández Villán
Profile icon Alberto Fernández Villán

Table of Contents (20) Chapters

Preface 1. Section 1: Introduction to OpenCV 4 and Python
2. Setting Up OpenCV 3. Image Basics in OpenCV 4. Handling Files and Images 5. Constructing Basic Shapes in OpenCV 6. Section 2: Image Processing in OpenCV
7. Image Processing Techniques 8. Constructing and Building Histograms 9. Thresholding Techniques 10. Contour Detection, Filtering, and Drawing 11. Augmented Reality 12. Section 3: Machine Learning and Deep Learning in OpenCV
13. Machine Learning with OpenCV 14. Face Detection, Tracking, and Recognition 15. Introduction to Deep Learning 16. Section 4: Mobile and Web Computer Vision
17. Mobile and Web Computer Vision with Python and OpenCV 18. Assessments 19. Other Books You May Enjoy

Reading camera frames and video files

In some projects, you have to capture camera frames (for example, capture frames with the webcam of your laptop). In OpenCV, we have cv2.VideoCapture, which is a class for video capturing from different sources, such as image sequences, video files, and cameras. In this section, we are going to see some examples to introduce us to this class for capturing camera frames.

Reading camera frames

This first example, read_camera.py, shows you how to read frames from a camera that's connected to your computer. The required argument is index_camera, which indicates the index of the camera to read. If you have connected a webcam to your computer, it has an index of 0. Additionally, if you...

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