https://github.com/kkebo/coremldemos.swiftpm

Core ML Demos is an experimental Core ML app. It visualizes the inference results of ML models and can be used to benchmark ML models and inference backends.
https://github.com/kkebo/coremldemos.swiftpm

coreml ios ipad ipados swift swift-playgrounds

Last synced: 17 days ago
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Core ML Demos is an experimental Core ML app. It visualizes the inference results of ML models and can be used to benchmark ML models and inference backends.

• Host: GitHub
• URL: https://github.com/kkebo/coremldemos.swiftpm
• Owner: kkebo
• License: mit
• Created: 2022-10-09T13:25:14.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-05T11:40:49.000Z (7 months ago)
• Last Synced: 2024-04-05T20:54:42.056Z (7 months ago)
• Topics: coreml, ios, ipad, ipados, swift, swift-playgrounds
• Language: Swift
• Homepage:
• Size: 7.67 MB
• Stars: 6
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# Core ML Demos

[![Swift](https://img.shields.io/badge/Swift-5.9-orange.svg)](https://www.swift.org)

[![Swift Playgrounds](https://img.shields.io/badge/Swift%20Playgrounds-4.4-orange.svg)](https://itunes.apple.com/jp/app/swift-playgrounds/id908519492)

![Platform](https://img.shields.io/badge/platform-ipados%20%7C%20ios-lightgrey.svg)

[![License](https://img.shields.io/github/license/kkebo/CoreMLDemos.swiftpm.svg)](LICENSE.txt)

Core ML Demos is an experimental Core ML app. It visualizes inference results of ML models and can be used to benchmark ML models and inference backends.

Demos currently implemented:

- [ ] Image Classification

- [x] Object Detection

## Target platforms

- iPadOS 17.0 or later

- iOS 17.0 or later

  

## Build requirements

- Swift Playgrounds 4.4 or later (iPadOS 17.0 or later)

## Get Started

1. Clone this repository

    - To clone, I recommend using [Working Copy](https://workingcopyapp.com) or [a-Shell](https://holzschu.github.io/a-Shell_iOS/) (`lg2` command).

1. Open DevToys.swiftpm with Swift Playgrounds

1. Run