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
We use loss functions to calculate how well a given algorithm fits the data it’s trained on. Loss calculation is based on the difference between predicted and actual values. If the predicted values are far from the actual values, the loss function will produce a very large number.
Keras is a library for creating neural networks. It’s open source and written in Python. Keras does not support low-level computation, but it runs on top of libraries like Theano and TensorFlow.
Continue reading How to create a custom loss function in Keras
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.
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
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.
In the last piece in this series on developing with Flutter, we looked at how we can implement [image labeling using ML Kit, which belongs to the Firebase family.
In this 7th installment of the series, we’ll keep working with ML Kit, this time focusing on implementing face detection. The application we build will be able to detect human faces in an image, like so:
Continue reading Face Detection in Flutter Using Firebase’s ML Kit
