google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
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README & documentation
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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. You can get started with MediaPipe Solutions by following the developer guides for each solution, including: If you need help setting up a development environment for use with MediaPipe Tasks, follow our setup guides for: 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…
Read the full README ↗ · Preview checked 2026-10-31T17:40:23.698Z
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What this repository does
Cross-platform, customizable ML solutions for live and streaming media.
Repository facts
- Owner
- google-ai-edge
- Primary language
- C++
- Stars
- 37,496
- Forks
- 6,209
- Open issues + pull requests
- 277
- License
- Apache-2.0
- Archived
- No
- Default branch
- master
- Created
- 2019-06-13T19:16:41.000Z
- Last push
- 2026-10-31T03:49:05.000Z
Topics and intended use
Owner-supplied topics: android, audio-processing, c-plus-plus, calculator, computer-vision, deep-learning, framework, graph-based, graph-framework, inference, machine-learning, mediapipe, mobile-development, perception, pipeline-framework, stream-processing, video-processing
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:42.808Z. Daily imports are snapshots, not real-time monitoring.
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