To start using MediaPipe Framework, install MediaPipe Framework and start building example applications in C++, Android, and iOS. The code repository and prebuilt binaries for all MediaPipe Legacy Solutions will continue to be provided on an as-is basis.įor more on the legacy solutions, see the documentation. All other MediaPipe Legacy Solutions will be upgraded to a new MediaPipe Solution. We have ended support for these MediaPipe Legacy Solutions as of March 1, 2023. MediaPipe Studio: Visualize, evaluate, and benchmark solutions in your browser.MediaPipe Model Maker: Customize models for solutions with your data.These tools let you customize and evaluate solutions: MediaPipe models: Pre-trained, ready-to-run models for use with each solution.MediaPipe Tasks: Cross-platform APIs and libraries for deploying solutions.These libraries and resources provide the core functionality for each MediaPipe Solution: MediaPipe Solutions is part of the MediaPipe open source project, so you can further customize the solutions code to meet your application needs. You can plug these solutions into your applications immediately, customize them to your needs, and use them across multiple development platforms. 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. 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. You can get started with MediaPipe Solutions by by checking out any of the developer guides for vision, text, and audio tasks. MediaPipe contains everything that you need to customize and deploy to mobile (Android, iOS), web, desktop, edge devices, and IoT, effortlessly. Learn more.ĭelight your customers with innovative machine learning features. This notice and web page will be removed on June 1, 2023.Īttention: MediaPipe Solutions Preview is an early release. This site uses Just the Docs, a documentation theme for Jekyll.Īttention: Thanks for your interest in MediaPipe! We have moved to as the primary developer documentation site for MediaPipe as of April 3, 2023. YouTube-8M Feature Extraction and Model Inference.AutoFlip (Saliency-aware Video Cropping).KNIFT (Template-based Feature Matching).
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