Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

Related tags

Image ios machine-learning caffe digits image-classification swift4 xcode9 coreml
Overview

SeeFood

For a step by step guide on how to build SeeFood: How to train your own model for CoreML.

demo.
Video Demo

Follw me on Twitter

Prerequisites:

Xcode 9 (currently Version 9.0 beta 3 (9M174d)).
The trained CoreML data model which can be downloaded here.
An iOS device running iOS 11+.

Setup:

Import the data model downloaded from the link above and build.

Credit:

This model is a retrained AlexNet (Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton) Caffe model using Food-101 (Lukas Bossard, Matthieu Guillaumin, Luc Van Gool) dataset.

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Comments
  • Error: The model does not have a valid input feature of type image

    Error: The model does not have a valid input feature of type image

    guard let model = try? VNCoreMLModel(for: food().model) throws an error.

    Looking at the (downloaded) food.mlmodel file it has a MultiArray as input (instead of Image e.g. InceptionV3).

    opened by choas 10
  • UILabel hangs when confidence limit is raised!

    UILabel hangs when confidence limit is raised!

    Hello @kingreza

    When confidence limit is raised the UILabel freezes with no errors in debug:

    DispatchQueue.main.async { [unowned self] in if let first = results.first { if Int(first.confidence * 100) > 50 { self.iSee.text = "I see \(first.identifier) \(self.addEmoji(id: first.identifier))" self.settingImage = false } }

    Have you had this issue?

    opened by nbawe 1
Owner
Reza Shirazian
twitter: @kingreza
Reza Shirazian
GitHub http://www.reza.codes
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