April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Building the application
Now we build the application. The application, named Face Detection, will consist of two screens. The first one will have a text title with two buttons, allowing the user to choose an image from the device's picture gallery or take a new image using the camera. After this, the user is directed to the second screen, which shows the image that was selected for face detection highlighting the detected faces. The following screenshot shows the flow of the application:
The widget tree of the application looks like this:
Let's now discuss the creation and implementation of each of the widgets in detail.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.