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Computer scientists have been attempting to solve many different Natural Language Processing (NLP) problems since the time computers were conceived.

But the field become slightly stagnant around the 2000s, and did not gain traction again till the ‘Deep Learning’ boom that occurred during the last decade.

Of the many factors that helped build this traction was the spike in available textual data, thanks to the rise in the number of web and mobile applications.

Continue reading “Five Contemporary Natural Language Processing Problems Pushed Forward by DL”

Adding a colorful gradient is a great way to build backgrounds and create even more impressive filters. In Facebook’s Spark AR Studio, we use the Patch Editor to create color gradients.

In this article, we will learn to create a colorful gradient, add a gradient to the whole scene, and to a distance field shape. Follow the steps below to create colorful gradients in the Patch Editor.

Continue reading Add Color Gradients To Materials in Facebook’s Spark AR Studio

At WWDC 18, Apple announced Create ML, a platform to create and train custom machine learning models on your Mac. You can train models to perform tasks like image recognition, extracting meaning from text, or finding relationships between numerical values.

Continue reading “Working with Create ML’s MLDataTable to Pre-Process Non-Image Data”

One of the coolest things for me about our team’s work with Lens Studio is that I get to learn while being creative—and being silly as well.

In all honesty, Snapchat has long been one of my favorite apps, if for nothing other than a lone filter that weirdly changed the course of my life…

Continue reading “Snapchat Lens Recipe: Which ____ Are You?”

Capturing document images with the help of handheld devices is the norm today. These images can easily be transferred over mail, chat, and can also be stored in the hard drive for future reference.

However, casual capturing of documents often leaves behind folds and distortions that are hard to recover from using normal editing processes.

Continue reading “Dewarping Documents with AI”

When I first saw CyreneQ’s lenses, I was immediately struck by how fun and quirky each individual one was. From bearded dragons hanging out on your face, to a literal croc on your foot, each one is joyful, unique, and ultimately shareable.

I caught up with Cyrene, who’s used Snapchat since its inception, to learn more about her inspiration. Some highlights of our conversation are below.

Continue reading “Snapchat Lens Creator Spotlight: CyreneQ”

Cross-platform mobile app development had always been a dream for both iOS and Android app developers. Even with the existence of tools like Cordova and Ionic, this dream has long remained elusive, as these tools resulted in performance that was no where near native performance.

Many argue that React Native is the best framework for the same, but ever since the launch of Flutter, this has started to change.

Continue reading “Building a Cross-Platform Image Classifier with Flutter and TensorFlow Lite”

Following what we learned about human vision, we’re now going to transfer some of that knowledge to computer vision (exciting right?!).

Very quickly, to quickly explain/recap this series, Joseph Redmon released a set of 20 lectures on computer vision in September 2018. As he’s an expert in the field, I wrote a lot of notes while going through his lectures. I am tidying my notes for my own future reference but am posting them on Medium also, to hopefully be useful for others.

Continue reading “The Ancient Secrets of Computer Vision 3 by Joseph Redmon — Condensed”