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Raspberry Pi 3 Cookbook for Python Programmers

You're reading from   Raspberry Pi 3 Cookbook for Python Programmers Unleash the potential of Raspberry Pi 3 with over 100 recipes

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781788629874
Length 552 pages
Edition 3rd Edition
Languages
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Authors (2):
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Steven Lawrence Fernandes Steven Lawrence Fernandes
Author Profile Icon Steven Lawrence Fernandes
Steven Lawrence Fernandes
Tim Cox Tim Cox
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Tim Cox
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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with a Raspberry Pi 3 Computer 2. Dividing Text Data and Building Text Classifiers FREE CHAPTER 3. Using Python for Automation and Productivity 4. Predicting Sentiments in Words 5. Creating Games and Graphics 6. Detecting Edges and Contours in Images 7. Creating 3D Graphics 8. Building Face Detector and Face Recognition Applications 9. Using Python to Drive Hardware 10. Sensing and Displaying Real-World Data 11. Building Neural Network Modules for Optical Character Recognition 12. Building Robots 13. Interfacing with Technology 14. Can I Recommend a Movie for You? 15. Hardware and Software List 16. Other Books You May Enjoy

Building a face detector application

In this section, we discuss how human faces can be detected from webcam images. A USB webcam needs to be connected to Raspberry Pi 3 to implement real-time human face detection.

How to do it...

  1. Import the necessary packages:
import cv2 
import numpy as np 
  1. Load the face cascade file:
frontalface_cascade= cv2.CascadeClassifier('haarcascade_frontalface_alt.xml') 
  1. Check whether the face cascade file has been loaded:
if frontalface_cascade.empty(): 
  raiseIOError('Unable to load the face cascade classifier xml file') 
  1. Initialize the video capture object:
capture = cv2.VideoCapture(0) 
  1. Define the scaling factor:
scale_factor = 0.5 
  1. Perform the operation until...
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