Author: Fritz

Machine learning can help us take the best route back home, find a product that matches our needs, or even help us schedule hair salon appointments. If we take an optimistic view, by applying machine learning in our projects, we can make our lives better and even move society forward.

Mobile phones are already a huge part of our lives, and combining them with the power of machine learning is something that, in theory, can create user experiences that delight and impress users. But do we really need to add machine learning to our apps? And if so, what tools and platforms are currently at our disposal? That’s what we’ll talk about in this article.

Continue reading Machine learning on mobile devices: 3 steps for deploying ML in your apps

Augmented reality (AR) is all the rage these days, with AR-based apps becoming better each day. And now, with the release of the new iPad Pro with a LiDAR scanner and the latest version of the ARKit framework (version 3.5), it’s more important than ever to understand what makes this amazing technology tick.

Continue reading How ARKit 3.5 Enables Immersive Augmented Reality Experiences on iOS

If you’ve ever developed an iOS Vision app that process frames of a video buffer, you know that you need to be careful with your resources. You shouldn’t process each frame—i.e., where the user just moves the camera around.

In order to classify an image with high accuracy, you’ll need to capture a stable scene. This is crucial for apps that use Vision. In this tutorial, I’ll be diving into this problem and the solution Apple suggests.

Continue reading How to Capture the Best Frame in an iOS Image Processing App

Apple’s Core ML is a powerful machine learning framework with an easy-to-use drag-and-drop interface. And the latest iteration, Core ML 3, brought in lots of new layers and gave rise to updatable models.

Continue reading Exploring Use Cases of Core ML Tools

In React Native apps, support for Scalable Vector Graphics (SVG) is provided by an open-source module called react-native-svg that’s maintained by the larger developer community.

Using SVG can enhance an app’s design when it comes to displaying different patterns. It can make a difference in how the look and feel of the app might appear to the end-user, as well how it is easy to edit the pattern built using SVG. SVG is mainly found on the web, and while they have similar uses to JPEG, PNG, and WebP image types, SVG is not resolution-dependent. Hence, the definition according to Wikipedia:

Continue reading How to create custom wavy headers using react-native-svg and Expo

This article is part 4 of a series centered on hands-on approaches to feature selection techniques. If you’ve missed any of the other posts, I’d recommend checking them out:

Welcome back! In part 4 of our series, we’ll provide an overview of embedded methods for feature selection.

We learned from the previous article a method that integrates a machine learning algorithm into the feature selection process. Those wrapper methods provide a good way to ensure that the selected features are the best for a specific machine learning model.

Continue reading Hands-on with Feature Selection Techniques: Embedded Methods

Over the years, Apple has released some breakthrough features at its annual WWDC conference. In addition to the iOS community, developers all over the world keenly look forward to Apple’s annual conferences. It’s no wonder that figuring out which WWDC conference stood out from the rest is always a dilemma.

Some say WWDC 2019 was the best developer conference in years, due to the slew of new features and significant tools introduced. SwiftUI, a powerful new framework for building user interfaces, and major upgrades in the Core ML and Vision framework make it tricky to downplay Apple’s achievements in 2019 — and I won’t do that either.

Continue reading Exploring Core Image: Apple’s First Computer Vision Framework

Table of contents:

A. Overview of sets
B. How sets work under the hood
C. Operations for sets
D. Collection type implementation in Swift (copy-on-write)

Continue reading Diving Into Data Structures In Swift: Sets

Today, we’re excited to launch Fritz Hair Segmentation, giving developers and users the ability to alter their hair with different colors, designs, or images.

Try it out for yourself on Android. You can download our demo app on the Google Play Store to play around with hair coloring.

Continue reading Embrace your new look with Fritz Hair Segmentation—Now available for Android developers