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GitHub - google-ai-edge/mediapipe: Cross-platform, customizable ML solutions for live and streaming media.
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Attention: We have moved to https://developers.google.com/mediapipe as the primary developer documentation site for MediaPipe as of April 3, 2023.

MediaPipe

Attention : MediaPipe Solutions Preview is an early release. Learn more .

On-device machine learning for everyone

Delight your customers with innovative machine learning features. MediaPipe contains everything that you need to customize and deploy to mobile (Android, iOS), web, desktop, edge devices, and IoT, effortlessly.

Get started

You can get started with MediaPipe Solutions by by checking out any of the developer guides for vision , text , and audio tasks. If you need help setting up a development environment for use with MediaPipe Tasks, check out the setup guides for Android , web apps , and Python .

Solutions

MediaPipe Solutions provides a suite of libraries and tools for you to quickly apply artificial intelligence (AI) and machine learning (ML) techniques in your applications. You can plug these solutions into your applications immediately, customize them to your needs, and use them across multiple development platforms. MediaPipe Solutions is part of the MediaPipe open source project , so you can further customize the solutions code to meet your application needs.

These libraries and resources provide the core functionality for each MediaPipe Solution:

  • MediaPipe Tasks : Cross-platform APIs and libraries for deploying solutions. Learn more .
  • MediaPipe models : Pre-trained, ready-to-run models for use with each solution.

These tools let you customize and evaluate solutions:

  • MediaPipe Model Maker : Customize models for solutions with your data. Learn more .
  • MediaPipe Studio : Visualize, evaluate, and benchmark solutions in your browser. Learn more .

Legacy solutions

We have ended support for these MediaPipe Legacy Solutions as of March 1, 2023. All other MediaPipe Legacy Solutions will be upgraded to a new MediaPipe Solution. See the Solutions guide for details. The code repository and prebuilt binaries for all MediaPipe Legacy Solutions will continue to be provided on an as-is basis.

For more on the legacy solutions, see the documentation .

Framework

To start using MediaPipe Framework, install MediaPipe Framework and start building example applications in C++, Android, and iOS.

MediaPipe Framework is the low-level component used to build efficient on-device machine learning pipelines, similar to the premade MediaPipe Solutions.

Before using MediaPipe Framework, familiarize yourself with the following key Framework concepts :

Community

Contributing

We welcome contributions. Please follow these guidelines .

We use GitHub issues for tracking requests and bugs. Please post questions to the MediaPipe Stack Overflow with a mediapipe tag.

Resources

Publications

Videos

- "漢字路" 한글한자자동변환 서비스는 교육부 고전문헌국역지원사업의 지원으로 구축되었습니다.
- "漢字路" 한글한자자동변환 서비스는 전통문화연구회 "울산대학교한국어처리연구실 옥철영(IT융합전공)교수팀"에서 개발한 한글한자자동변환기를 바탕하여 지속적으로 공동 연구 개발하고 있는 서비스입니다.
- 현재 고유명사(인명, 지명등)을 비롯한 여러 변환오류가 있으며 이를 해결하고자 많은 연구 개발을 진행하고자 하고 있습니다. 이를 인지하시고 다른 곳에서 인용시 한자 변환 결과를 한번 더 검토하시고 사용해 주시기 바랍니다.
- 변환오류 및 건의,문의사항은 juntong@juntong.or.kr로 메일로 보내주시면 감사하겠습니다. .
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