iSky

KO | EN

gitlite — search

#javascript #python #react #typescript #llm #machine-learning #deep-learning #windows #awesome #cli #kubernetes #awesome-list #pytorch #openai

(★ 67)

Ultralytics iSky iOS app for real-time neural style transfer, transforming live iPhone and iPad camera video with five famous painting styles.

iSky 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# 🚀 Ultralytics iSky iOS App

[![Ultralytics Actions](https://github.com/ultralytics/iSky/actions/workflows/format.yml/badge.svg)](https://github.com/ultralytics/iSky/actions/workflows/format.yml)
[![Ultralytics Discord](https://img.shields.io/discord/1089800235347353640?logo=discord&logoColor=white&label=Discord&color=blue)](https://discord.com/invite/ultralytics)
[![Ultralytics Forums](https://img.shields.io/discourse/users?server=https%3A%2F%2Fcommunity.ultralytics.com&logo=discourse&label=Forums&color=blue)](https://community.ultralytics.com/)
[![Ultralytics Reddit](https://img.shields.io/reddit/subreddit-subscribers/ultralytics?style=flat&logo=reddit&logoColor=white&label=Reddit&color=blue)](https://reddit.com/r/ultralytics)

Welcome to the [Ultralytics](https://www.ultralytics.com/) iSky iOS App GitHub repository! 📖 This app leverages advanced [neural network](https://www.ultralytics.com/glossary/neural-network-nn) [style-transfer](https://en.wikipedia.org/wiki/Neural_style_transfer) models to transform your world into art in real-time. Explore our guide to get started with the [Ultralytics iSky iOS App](https://apps.apple.com/us/app/isky/id1445737240) and view the world through the lens of famous paintings.

## 🛠️ Quickstart: Setting Up the Ultralytics iSky iOS App

Getting started with the Ultralytics iSky iOS App is straightforward. Follow these steps to build and install the app on your iOS device using Xcode.

### Prerequisites

Ensure you have the following before you start:

- **Xcode:** The Ultralytics iSky iOS App requires Xcode installed on your macOS machine. Download the latest version from the [Mac App Store](https://apps.apple.com/us/app/xcode/id497799835).
- **An iOS Device:** For testing the app, you'll need an iPhone or iPad running iOS 12.0 or later, matching the app target's deployment setting.
- **An Apple Developer Account:** A free [Apple Developer account](https://developer.apple.com/) is sufficient for testing the app on your own device.
- **Core ML Style Models:** The five style-transfer models the Xcode project expects (`candy.mlmodel`, `mosaic.mlmodel`, `rain_princess.mlmodel`, `starrynight.mlmodel`, and `udnie.mlmodel`) are not distributed with this repository. Add them to the project before building.

### Installation

1.  **Clone the Repository:**
    Use [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) to clone the repository to your local machine.

```sh
    git clone https://github.com/ultralytics/iSky.git
    cd iSky
    ```

2.  **Open the Project in Xcode:**
    Navigate to the cloned directory and open the `iSky.xcodeproj` file. This will launch the project in Xcode.

In Xcode, navigate to the project's target settings. Under the "Signing & Capabilities" tab, select your Apple Developer account to sign the app.

3.  **Run the Ultralytics iSky iOS App:**
    Connect your iOS device to your Mac via USB. Select your device from the list of run targets in Xcode (next to the stop button). Press the Run button (▶) to build and install the app on your device.

## 🚀 Usage

The Ultralytics iSky iOS App is designed for intuitive use:

- **Tap the screen to cycle through 5 different painting styles:**
  - Van Gogh's [Starry Night](https://en.wikipedia.org/wiki/The_Starry_Night)
  - Mosaic
  - Leonid Afremov's Rain Princess
  - Natasha Westcoat's Candie
  - Francis Picabia's Udnie
- **Pause and Play live video:** Control the live video feed with a simple tap on the pause/play button.
- **Share your art:** Use the share button to capture the current view and share your transformed world with friends and family!

## 💡 Contribute

We warmly welcome contributions from the community to our open-source projects! Your support and efforts are vital for advancing the field of AI. Get involved by reviewing our [Contributing Guide](https://docs.ultralytics.com/help/contributing), and please share your feedback through our brief [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). We appreciate every contribution, from bug reports to pull requests. A massive thank you 🙏 to all our contributors!

[![Ultralytics open-source contributors](https://raw.githubusercontent.com/ultralytics/assets/main/im/image-contributors.png)](https://github.com/ultralytics/iSky/graphs/contributors)

## 📄 License

Ultralytics provides two licensing options to accommodate diverse use cases:

- **AGPL-3.0 License:** This [OSI-approved](https://opensource.org/license/agpl-3.0) open-source license is ideal for students, researchers, and enthusiasts who wish to share their work and contribute back to the community. It promotes open collaboration and knowledge sharing. See the [LICENSE](https://github.com/ultralytics/iSky/blob/main/LICENSE) file for detailed terms.
- **Enterprise License:** Tailored for commercial applications, this license allows for the integration of Ultralytics software and AI models into commercial products and services without the open-source requirements of AGPL-3.0. If your scenario involves commercial use, please contact us through [Ultralytics Licensing](https://www.ultralytics.com/license).

## 📮 Contact

For bug reports and feature requests related to the Ultralytics iSky iOS App, please use [GitHub Issues](https://github.com/ultralytics/iSky/issues). For general questions, discussions, and support, join our vibrant community on [Discord](https://discord.com/invite/ultralytics)!

iSky

iSky 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

iSky

iSky 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README