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You're reading from Building Computer Vision Projects with OpenCV 4 and C++ Implement complex computer vision algorithms and explore deep learning and face detection

Product type Course

Published in Mar 2019

Publisher

ISBN-13 9781838644673

Length 538 pages

Edition 1st Edition

Languages

C++

Tools

OpenCV

Concepts

Computer Vision

Authors (4):

Roy Shilkrot

David Millán Escrivá

Vinícius G. Mendonça

Prateek Joshi

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Table of Contents (28) Chapters

Title Page

About Packt

Contributors

Preface

1. Getting Started with OpenCV FREE CHAPTER

2. An Introduction to the Basics of OpenCV

3. Learning Graphical User Interfaces

4. Delving into Histogram and Filters

5. Automated Optical Inspection, Object Segmentation, and Detection

6. Learning Object Classification

7. Detecting Face Parts and Overlaying Masks

8. Video Surveillance, Background Modeling, and Morphological Operations

9. Learning Object Tracking

10. Developing Segmentation Algorithms for Text Recognition

11. Text Recognition with Tesseract

12. Deep Learning with OpenCV

13. Cartoonifier and Skin Color Analysis on the RaspberryPi

14. Explore Structure from Motion with the SfM Module

15. Face Landmark and Pose with the Face Module

16. Number Plate Recognition with Deep Convolutional Networks

17. Face Detection and Recognition with the DNN Module

18. Android Camera Calibration and AR Using the ArUco Module

19. iOS Panoramas with the Stitching Module

20. Finding the Best OpenCV Algorithm for the Job

21. Avoiding Common Pitfalls in OpenCV

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Index

Camera access in Android OS

Most, if not all, mobile phone devices running Android are equipped with a video-capable camera, and the Android OS provides APIs to access the raw data stream from it. Up until Android version 5 (API level 21), Google recommended using the older Camera API; however, in recent versions, the API was deprecated in favor of the new Camera2 API, which we will use. A good example guide for using the Camera2 API is provided for Android developers by Google: https://github.com/googlesamples/android-Camera2Basic. In this section, we will only recount a few important elements, and the complete code can be viewed in the accompanying repository.

First, using the camera requires user permissions. In the AndroidManifest.xml file, we flag the following:

    <uses-permission android:name="android.permission.CAMERA" />
    <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
    <uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE...

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You're reading from Building Computer Vision Projects with OpenCV 4 and C++ Implement complex computer vision algorithms and explore deep learning and face detection

Table of Contents (28) Chapters

Camera access in Android OS

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Authors (4)

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