heartbeat fritz intro to machine learning on android

Predictors are initialized with a FritzOnDeviceModel. The FritzVisionPredictor class handles all the complicated processing that comes with running on-device models - usually this refers to handling pre-processing (any manipulations required to format the input for the model) and post-processing (handling the raw output from the model to create a developer-friendly result).Įach predictor contains a predict method that takes a FritzVisionImage object as an argument and returns a FritzVisionResult with methods that make it easy to visualize and understand the model results.

FritzVisionResult - A user-friendly object to access the result from the predictor.

FritzOnDeviceModel - Contains information to load the underlying model file.

FritzVisionImage - Prepares an image for model prediction.

FritzVisionPredictor - Manages model execution and processing.

Under the hood, the Vision APIs use ML models to run predictions on an image. To dive in, we’ll go over how to create a mask of a person in the image, export the masked layer, and swap out the background.įirst, let’s walk through how to use the on-device Vision API and get familiar with how to use Fritz. In this tutorial, we’ll use the Fritz SDK, a mobile machine learning library, in order to create an app to replace and modify the background of a photo.

Photo Editing-Using image segmentation on top of using color, tone, and depth to creating high quality masks for photo editing.

Satellite Imagery - Understanding and locating forest, roads, crops, etc.

Medical imaging - Reading CAT scans to aid physicians.

Here are a couple of ways image segmentation is being used today: In short, it helps bring meaning to images.

Semantic image segmentation is a widely-used computer vision technique that allows users to associate each pixel of an image with a class label. With the help of machine learning, masking capabilities have come a long way. This had varying degrees of success and usually resulted in having to manually outline and erase unwanted pixels from my selection. My go-to method was using the Magic Wand tool to select a person, and then creating a crude mask to cut and paste onto another background.

Image Segmentation for Android - Smart Background Replacement with Fritzīack when I first started using Photoshop, I’d waste hours between classes cropping out pictures of my friends and pasting their faces onto celebrities and teachers.

Heartbeat fritz intro to machine learning on android