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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

Questions

  1. Which function splits a multichannel into several single-channel images?
  2. Which function merges several single-channel images into a multichannel image?
  3. Translate an image 150 pixels in the x direction and 300 pixels in the y direction.
  4. Rotate an image named img by 30 degrees with respect to the center of the image with a scale factor of 1.
  5. Build a 5 x 5 averaging kernel and apply it to an image using cv2.filter2D().
  6. Add 40 to all the pixels in a grayscale image.
  7. Apply the COLORMAP_JET color map to a grayscale image.
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