Book Image

iOS Application Development with OpenCV 3

By : Joseph Howse
4 (1)
Book Image

iOS Application Development with OpenCV 3

4 (1)
By: Joseph Howse

Overview of this book

iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs. After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.
Table of Contents (13 chapters)
iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Starting and stopping the busy mode


Remember that we want to show an activity indicator and disable all the toolbar items while LightWork is busy saving or sharing a photo. Conversely, when LightWork is no longer busy with the photo, we want to hide the activity indicator and re-enable the toolbar items. As these actions affect the GUI, we must ensure that they run on the app's main thread.

Note

If our code is running on a background thread, nothing will happen when we try to show or hide the activity indicator.

To run code on a specific thread, we can make a post to the thread's event queue. The iOS SDK provides a C function, dispatch_async, which takes a target queue and code block as arguments. Another C function, dispatch_get_main_queue(), enables us to get the main thread's event queue. Let's use these functions in the following helper method, which starts the busy mode:

- (void)startBusyMode {
  dispatch_async(dispatch_get_main_queue(), ^{
    [self.activityIndicatorView startAnimating...