To focus on implementing all the features that are related to your goal of an image classification app, you won't have to worry about creating a UI, or about creating IBOutlets or IBActions.
- [Instructor] In order to save some time…and so that you do not get bored with very basic stuff,…I have already created a Xcode project for our purpose.…And I've already also created…a basic user interface that we're going to use.…So you do not have to build that,…you can just jump right into the exercise files…and open up that project, so that we can start…with the important stuff right away.…And nevertheless, I'd like to give you…a quick tour around this project.…Here we are in our main storyboard.…
We have a label for the heading,…a little indicator that tells the user…to tab on this image view here.…In order to open up the photo library,…we have this is it a cat or a dog button,…which is going to trigger the image classification.…And we have our classification label…that is going to state if the image contains a cat or a dog.…And to make it possible to tab on the image view,…what we also have is a tab gesture recognizer…that is associated with a function in our view controller….swift file, so we also have all the outlets and properties…
Released
4/4/2018- Using Turi Create to create custom models
- Getting comfortable with Python
- Preparing data for Turi Create
- Creating a machine learning model with Turi Create
- Implementing an image picker controller
- Using Core ML and the Vision framework for image classification
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Video: A quick look around the Xcode project