Skip to main content

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

Project description


layout: default title: Home nav_order: 1

MediaPipe


Live ML anywhere

MediaPipe offers cross-platform, customizable ML solutions for live and streaming media.

accelerated.png cross_platform.png
End-to-End acceleration: Built-in fast ML inference and processing accelerated even on common hardware Build once, deploy anywhere: Unified solution works across Android, iOS, desktop/cloud, web and IoT
ready_to_use.png open_source.png
Ready-to-use solutions: Cutting-edge ML solutions demonstrating full power of the framework Free and open source: Framework and solutions both under Apache 2.0, fully extensible and customizable

ML solutions in MediaPipe

Face Detection Face Mesh Iris Hands Pose Holistic
face_detection face_mesh iris hand pose hair_segmentation
Hair Segmentation Object Detection Box Tracking Instant Motion Tracking Objectron KNIFT
hair_segmentation object_detection box_tracking instant_motion_tracking objectron knift
Android iOS C++ Python JS Coral
Face Detection
Face Mesh
Iris
Hands
Pose
Holistic
Selfie Segmentation
Hair Segmentation
Object Detection
Box Tracking
Instant Motion Tracking
Objectron
KNIFT
AutoFlip
MediaSequence
YouTube 8M

See also MediaPipe Models and Model Cards for ML models released in MediaPipe.

Getting started

To start using MediaPipe solutions with only a few lines code, see example code and demos in MediaPipe in Python and MediaPipe in JavaScript.

To use MediaPipe in C++, Android and iOS, which allow further customization of the solutions as well as building your own, learn how to install MediaPipe and start building example applications in C++, Android and iOS.

The source code is hosted in the MediaPipe Github repository, and you can run code search using Google Open Source Code Search.

Publications

Videos

Events

Community

Alpha disclaimer

MediaPipe is currently in alpha at v0.7. We may be still making breaking API changes and expect to get to stable APIs by v1.0.

Contributing

We welcome contributions. Please follow these guidelines.

We use GitHub issues for tracking requests and bugs. Please post questions to the MediaPipe Stack Overflow with a mediapipe tag.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

mediapipe_silicon-0.8.11-cp310-cp310-macosx_12_0_arm64.whl (62.1 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

mediapipe_silicon-0.8.11-cp39-cp39-macosx_12_0_arm64.whl (62.1 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

mediapipe_silicon-0.8.11-cp38-cp38-macosx_12_0_arm64.whl (62.1 MB view details)

Uploaded CPython 3.8 macOS 12.0+ ARM64

File details

Details for the file mediapipe_silicon-0.8.11-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for mediapipe_silicon-0.8.11-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 53bb85f7c1891522914d5cd10e152114ea9984a311cc7f16a7e2d0f64762d8c5
MD5 5670b17c8fe46c0e09d7a3ea27bc0f98
BLAKE2b-256 bb6127b40c5e4213e374d9adc2e3ecbbe40f7780e33f788ef970269820d78d0b

See more details on using hashes here.

File details

Details for the file mediapipe_silicon-0.8.11-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for mediapipe_silicon-0.8.11-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 f17f1f4d8d56feb637f2f734b37e8556782011a7e104d278ed60cf754d639015
MD5 f69abd0be9aec952d1148e3250f6b4e6
BLAKE2b-256 1b9608f2bf1dba9be066bb63428397d5ad93446cff48a2a44f5c68cdc988a605

See more details on using hashes here.

File details

Details for the file mediapipe_silicon-0.8.11-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for mediapipe_silicon-0.8.11-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 9eef96f94cc4644c1f821aced016eefe2a336e2b3b2d8c46eb01d30e7cc89416
MD5 12ba30b015f04e50c2510a89f20c1dd7
BLAKE2b-256 845fc13df8463c587337a91189d5d1b977ee2345a555c1400407c1617d13eb6e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page