[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["缺少我需要的資訊","missingTheInformationINeed","thumb-down"],["過於複雜/步驟過多","tooComplicatedTooManySteps","thumb-down"],["過時","outOfDate","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["示例/程式碼問題","samplesCodeIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2024-05-14 (世界標準時間)。"],[],[],null,["# MediaPipe Framework\n\n| **Note:** If you're only interested in an easy way to integrate on-device machine learning solutions into your app, use the premade solutions provided by [MediaPipe Solutions](../solutions/guide.md).\n\nMediaPipe Framework is the low-level component used to build efficient on-device\nmachine learning pipelines, similar to the premade [MediaPipe\nSolutions](../solutions/guide.md).\n\nTo start using MediaPipe Framework, [install MediaPipe\nFramework](./getting_started/install) and start building example applications in\nC++, Android, and iOS. Before using MediaPipe Framework, familiarize yourself\nwith the following key [Framework concepts](./framework_concepts/overview.md):\n\n- [Packets](./framework_concepts/packets.md)\n- [Graphs](./framework_concepts/graphs.md)\n- [Calculators](./framework_concepts/calculators.md)\n\nThe source code is hosted in the [MediaPipe GitHub\nrepository](https://github.com/google/mediapipe), and you can run code search\nusing [Google Open Source Code\nSearch](https://cs.opensource.google/mediapipe/mediapipe)."]]