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DeepVision can load any image classification Core ML model and execute it in real-time on video from the camera of your device

DeepVision for Core ML

by Pedro Jose Pereira Vieito

What is it about?

DeepVision can load any image classification Core ML model and execute it in real-time on video from the camera of your device.

App Details

Version
1.0.1
Rating
NA
Size
13Mb
Genre
Utilities Photo & Video
Last updated
September 25, 2017
Release date
September 19, 2017
More info

App Screenshots

App Store Description

DeepVision can load any image classification Core ML model and execute it in real-time on video from the camera of your device.

You can start by trying the built-in model, SqueezeNet, which is only 5 MB in size and can detect 1000 categories of objects.

DeepVision will load the model and show you the most probable result predicted by the model. It can also read the information embedded in the model like the creator, license or description.

Note: You can precompile your models to load them faster in DeepVision. Use the command “xcrun coremlcompiler” in the Terminal of your Mac with Xcode 9 installed to compile Core ML models (.mlmodel) into compiled packages (.mlmodelc).

DeepVision is also available for the Mac, check it out on the Mac App Store!

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