MediaPipe Solutions menyediakan serangkaian library dan alat agar Anda dapat dengan cepat menerapkan teknik kecerdasan buatan (AI) dan machine learning (ML) di aplikasi Anda. Anda dapat langsung memasukkan solusi ini ke dalam aplikasi, menyesuaikannya dengan kebutuhan, dan menggunakannya di beberapa platform pengembangan. Solusi MediaPipe adalah bagian dari project open source MediaPipe, sehingga Anda dapat menyesuaikan kode solusi lebih lanjut untuk memenuhi kebutuhan aplikasi Anda. Rangkaian MediaPipe Solutions
mencakup:
Library dan resource ini menyediakan fungsi inti untuk setiap Solusi MediaPipe:
MediaPipe Tasks: API dan library lintas platform untuk men-deploy solusi. Pelajari lebih lanjut
Model MediaPipe: Model terlatih dan siap dijalankan untuk digunakan dengan setiap solusi.
Alat ini memungkinkan Anda menyesuaikan dan mengevaluasi solusi:
MediaPipe Model Maker: Sesuaikan model untuk solusi dengan data Anda. Pelajari
lebih lanjut
MediaPipe Studio: Visualisasikan, evaluasi, dan ukur solusi dalam browser Anda. Pelajari
lebih lanjut
Solusi yang tersedia
MediaPipe Solutions tersedia di berbagai platform. Setiap solusi
mencakup satu atau beberapa model, dan Anda dapat menyesuaikan model untuk beberapa solusi juga. Daftar berikut menunjukkan solusi yang tersedia untuk setiap platform yang didukung dan apakah Anda dapat menggunakan Model Maker untuk menyesuaikan model:
Anda dapat mulai menggunakan MediaPipe Solutions dengan memilih salah satu tugas
yang tercantum di struktur navigasi kiri, termasuk tugas
vision,
text, dan
audio.
Jika Anda memerlukan bantuan untuk menyiapkan lingkungan pengembangan yang akan digunakan dengan Tugas MediaPipe, lihat panduan penyiapan untuk Android, aplikasi web, dan Python.
Solusi lama
Kami telah menghentikan dukungan untuk Solusi Lama MediaPipe yang tercantum di bawah mulai 1 Maret 2023. Semua MediaPipe Legacy Solution lainnya akan diupgrade ke MediaPipe Solution baru. Lihat daftar di bawah untuk mengetahui detailnya. Repositori kode dan
biner pra-build untuk semua Solusi Lama MediaPipe akan terus
disediakan sebagaimana adanya.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-09 UTC."],[],[],null,["MediaPipe Solutions provides a suite of libraries and tools for you to quickly\napply artificial intelligence (AI) and machine learning (ML) techniques in your\napplications. You can plug these solutions into your applications immediately,\ncustomize them to your needs, and use them across multiple development\nplatforms. MediaPipe Solutions is part of the MediaPipe [open source\nproject](https://github.com/google/mediapipe), so you can further customize the\nsolutions code to meet your application needs. The MediaPipe Solutions suite\nincludes the following:\n\nThese libraries and resources provide the core functionality for each MediaPipe\nSolution:\n\n- **MediaPipe Tasks** : Cross-platform APIs and libraries for deploying solutions. [Learn more](/edge/mediapipe/solutions/tasks)\n- **MediaPipe Models**: Pre-trained, ready-to-run models for use with each solution.\n\nThese tools let you customize and evaluate solutions:\n\n- **MediaPipe Model Maker** : Customize models for solutions with your data. [Learn\n more](/edge/mediapipe/solutions/model_maker)\n- **MediaPipe Studio** : Visualize, evaluate, and benchmark solutions in your browser. [Learn\n more](/edge/mediapipe/solutions/studio)\n\nAvailable solutions\n\nMediaPipe Solutions are available across multiple platforms. Each solution\nincludes one or more models, and you can customize models for some solutions as\nwell. The following list shows what solutions are available for each supported\nplatform and if you can use Model Maker to customize the model:\n\n| Solution | Android | Web | Python | iOS | Customize model |\n|------------------------------------------------------------------------------------|---------|-----|--------|-----|-----------------|\n| [LLM Inference API](/edge/mediapipe/solutions/genai/llm_inference) | | | | | |\n| [Object detection](/edge/mediapipe/solutions/vision/object_detector) | | | | | |\n| [Image classification](/edge/mediapipe/solutions/vision/image_classifier) | | | | | |\n| [Image segmentation](/edge/mediapipe/solutions/vision/image_segmenter) | | | | | |\n| [Interactive segmentation](/edge/mediapipe/solutions/vision/interactive_segmenter) | | | | | |\n| [Hand landmark detection](/edge/mediapipe/solutions/vision/hand_landmarker) | | | | | |\n| [Gesture recognition](/edge/mediapipe/solutions/vision/gesture_recognizer) | | | | | |\n| [Image embedding](/edge/mediapipe/solutions/vision/image_embedder) | | | | | |\n| [Face detection](/edge/mediapipe/solutions/vision/face_detector) | | | | | |\n| [Face landmark detection](/edge/mediapipe/solutions/vision/face_landmarker) | | | | | |\n| [Pose landmark detection](/edge/mediapipe/solutions/vision/pose_landmarker) | | | | | |\n| [Image generation](/edge/mediapipe/solutions/vision/image_generator) | | | | | |\n| [Text classification](/edge/mediapipe/solutions/text/text_classifier) | | | | | |\n| [Text embedding](/edge/mediapipe/solutions/text/text_embedder) | | | | | |\n| [Language detector](/edge/mediapipe/solutions/text/language_detector) | | | | | |\n| [Audio classification](/edge/mediapipe/solutions/audio/audio_classifier) | | | | | |\n\nGet started\n\nYou can get started with MediaPipe Solutions by selecting any of the tasks\nlisted in the left navigation tree, including\n[vision](/edge/mediapipe/solutions/vision/object_detector),\n[text](/edge/mediapipe/solutions/text/text_classifier), and\n[audio](/edge/mediapipe/solutions/audio/audio_classifier) tasks.\nIf you need help setting up a development environment for use with MediaPipe\nTasks, check out the setup guides for\n[Android](/edge/mediapipe/solutions/setup_android),\n[web apps](/edge/mediapipe/solutions/setup_web), and\n[Python](/edge/mediapipe/solutions/setup_python).\n\nLegacy solutions\n\nWe have ended support for the MediaPipe Legacy Solutions listed below as of\nMarch 1, 2023. All other MediaPipe Legacy Solutions will be upgraded to a new\nMediaPipe Solution. See the list below for details. The\n[code repository](https://github.com/google/mediapipe/tree/master/mediapipe) and\nprebuilt binaries for all MediaPipe Legacy Solutions will continue to be\nprovided on an as-is basis.\n\n| Legacy Solution | Status | New MediaPipe Solution |\n|-----------------------------------------------------------------------------------------------------------------------------|--------------------------------------|--------------------------------------------------------------|\n| Face Detection ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/face_detection.md)) | [Upgraded](./vision/face_detector) | [Face detection](./vision/face_detector) |\n| Face Mesh ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/face_mesh.md)) | [Upgraded](./vision/face_landmarker) | [Face landmark detection](./vision/face_landmarker) |\n| Iris ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/iris.md)) | [Upgraded](./vision/face_landmarker) | [Face landmark detection](./vision/face_landmarker) |\n| Hands ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/hands.md)) | [Upgraded](./vision/hand_landmarker) | [Hand landmark detection](./vision/hand_landmarker) |\n| Pose ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/pose.md)) | [Upgraded](./vision/pose_landmarker) | [Pose landmark detection](./vision/pose_landmarker) |\n| Holistic ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/holistic.md)) | Upgrade | [Holistic landmarks detection](./vision/holistic_landmarker) |\n| Selfie segmentation ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/selfie_segmentation.md)) | [Upgraded](./vision/image_segmenter) | [Image segmentation](./vision/image_segmenter) |\n| Hair segmentation ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/hair_segmentation.md)) | [Upgraded](./vision/image_segmenter) | [Image segmentation](./vision/image_segmenter) |\n| Object detection ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/object_detection.md)) | [Upgraded](./vision/object_detector) | [Object detection](./vision/object_detector) |\n| Box tracking ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/box_tracking.md)) | Support ended | |\n| Instant motion tracking ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/instant_motion_tracking.md)) | Support ended | |\n| Objectron ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/objectron.md)) | Support ended | |\n| KNIFT ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/knift.md)) | Support ended | |\n| AutoFlip ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/autoflip.md)) | Support ended | |\n| MediaSequence ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/media_sequence.md)) | Support ended | |\n| YouTube 8M ([info](https://github.com/google/mediapipe/blob/master/docs/solutions/youtube_8m.md)) | Support ended | |"]]
