google-ai-edge / mediapipe
git clone https://github.com/google-ai-edge/mediapipe.git
v1.1.1 · 8d ago
Cross-platform, customizable ML solutions for live and streaming media.
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Star history (as recorded here)
LanguageC++
LicenseApache-2.0
Created2019-06-13 (7y ago)
Last pushtoday
Watchers534
OwnerOrganization
GitHub topics
androidaudio-processingc-plus-pluscalculatorcomputer-visiondeep-learningframeworkgraph-basedgraph-frameworkinferencemachine-learningmediapipemobile-developmentperceptionpipeline-frameworkstream-processingvideo-processing
Links
- GitHub: github.com/google-ai-edge/mediapipe
- Homepage: https://ai.google.dev/edge/mediapipe
- Releases · Issues · Hacker News mentions
README excerpt
--- layout: forward target: https://developers.google.com/edge/mediapipe title: Home nav_order: 1 --- ---- **Attention:** *See https://developers.google.com/edge/mediapipe for the primary developer documentation site for MediaPipe.* **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. * See demos * Learn more ## Get started You can get started with MediaPipe Solutions by following the developer guides for each solution, including: * audio * decision * genai * retrieval * text * vision If you need help setting up a development environment for use with MediaPipe Tasks, follow our setup guides for: * Android * iOS * Python * Web apps ## 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. To customize and evaluate solutions, use **MediaPipe Studio**. It lets you visualize, test, and benchmark solutions in your browser. Learn more and see our demos. ## 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: * Packets * Graphs * Calculators ## Community * Discuss - General community discussion around MediaPipe. * Awesome MediaPipe - A curated list of awesome MediaPipe related frameworks, libraries and software. ## 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. ## Privacy Notice Last modified: June 5, 2026 When you use MediaPipe Tasks, processing of the input data (e.g. images, video, text) takes place on device, and MediaPipe does not send that input data to Google servers. As a result, you can use our MediaPipe Tasks APIs for processing data that should not leave the device. MediaPipe Tasks APIs send metrics about the performance and utilization of the APIs in your app to Google. Google