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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Mobile Vision - Face Detection Using On-Device Models
In this chapter, we will build a Flutter application that is capable of detecting faces from media uploaded from the gallery of a device or directly from the camera using the ML Kit's Firebase Vision Face Detection API. The API leverages the power of pre-trained models hosted on Firebase and provides the application, the ability to identify the key features of a face, detect the expression, and get the contours of the detected faces. As the face detection is performed in real time by the API, it can also be used to track faces in a video sequence, in a video chat, or in games that respond to the user's expression. The application, coded in Dart, will work efficiently on Android and iOS ...
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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.
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