[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],["อัปเดตล่าสุด 2024-05-14 UTC"],[],[],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)."]]
