cassdlcm/mediapipe
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
Cross-platform, customizable ML solutions for live and streaming media.
2,902 Commits 10 Branches 56 Tags 829 MiB
C++ 63.9%
Python 9.2%
Starlark 8.3%
Java 8.3%
Objective-C 3.8%
Other 6.4%
507d677d44
Go to file
MediaPipe Team 507d677d44 Internal change 
PiperOrigin-RevId: 587325154
2023-12-02 09:47:33 -08:00
.github Merge pull request #4811 from shmishra99:patch-1 2023-09-19 10:43:12 -07:00
docs Merge pull request #4818 from markmcd:ios-docgen 2023-10-25 14:00:39 -07:00
mediapipe Internal change 2023-12-02 09:47:33 -08:00
third_party Internal 2023-11-13 15:15:53 -08:00
.bazelrc No public description 2023-10-19 11:11:52 -07:00
.bazelversion Internal change 2023-03-31 10:33:27 -07:00
.dockerignore Project import generated by Copybara. 2019-06-16 16:06:57 -07:00
.gitignore Set up the Open Source build for MediaPipe Tasks Web 2022-11-04 10:59:32 -07:00
build_android_examples.sh Project import generated by Copybara. 2022-03-21 12:12:39 -07:00
build_desktop_examples.sh Project import generated by Copybara. 2022-03-21 12:12:39 -07:00
build_ios_examples.sh Project import generated by Copybara. 2022-03-21 12:12:39 -07:00
BUILD.bazel Set up the Open Source build for MediaPipe Tasks Web 2022-11-04 10:59:32 -07:00
CONTRIBUTING.md Project import generated by Copybara. 2021-12-13 15:56:02 -08:00
Dockerfile Internal change 2023-03-31 10:33:27 -07:00
LICENSE Internal change 2023-03-15 10:56:32 -07:00
MANIFEST.in Project import generated by Copybara. 2022-09-06 21:46:17 +00:00
package.json Open Source the first set of MediaPipe Tasks tests for Web 2022-12-07 12:15:34 -08:00
platform_mappings No public description 2023-08-28 02:50:07 -07:00
README.md Adding redirects for old pages and updating pages for upgraded legacy solutions 2023-06-01 15:31:42 -07:00
requirements.txt Add the minimum version number requirement to sounddevice in requirements.txt. 2023-03-31 13:27:42 -07:00
setup_android_sdk_and_ndk.sh Project import generated by Copybara. 2022-06-28 12:11:05 +00:00
setup_opencv.sh Project import generated by Copybara. 2021-09-01 18:15:31 -07:00
setup.py Speed up Python build by only building binary graph 2023-10-24 13:41:17 -07:00
tsconfig.json Open Source the first set of MediaPipe Tasks tests for Web 2022-12-07 12:15:34 -08:00
WORKSPACE Remove objc_library from Python build path for Mac GPU build 2023-10-23 12:36:14 -07:00
yarn.lock Open Source the first set of MediaPipe Tasks tests for Web 2022-12-07 12:15:34 -08:00

README.md

layout target title nav_order
forward https://developers.google.com/mediapipe Home 1

Attention: We have moved to https://developers.google.com/mediapipe as the primary developer documentation site for MediaPipe as of April 3, 2023.

MediaPipe

Attention: MediaPipe Solutions Preview is an early release. Learn more.

On-device machine learning for everyone

Delight your customers with innovative machine learning features. MediaPipe contains everything that you need to customize and deploy to mobile (Android, iOS), web, desktop, edge devices, and IoT, effortlessly.

Get started

You can get started with MediaPipe Solutions by by checking out any of the developer guides for vision, text, and audio tasks. 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.

Solutions

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. You can plug these solutions into your applications immediately, customize them to your needs, and use them across multiple development platforms. MediaPipe Solutions is part of the MediaPipe open source project, so you can further customize the solutions code to meet your application needs.

These libraries and resources provide the core functionality for each MediaPipe Solution:

  • MediaPipe Tasks: Cross-platform APIs and libraries for deploying solutions. Learn more.
  • MediaPipe models: Pre-trained, ready-to-run models for use with each solution.

These tools let you customize and evaluate solutions:

  • MediaPipe Model Maker: Customize models for solutions with your data. Learn more.
  • MediaPipe Studio: Visualize, evaluate, and benchmark solutions in your browser. Learn more.

Legacy solutions

We have ended support for these MediaPipe Legacy Solutions as of March 1, 2023. All other MediaPipe Legacy Solutions will be upgraded to a new MediaPipe Solution. See the Solutions guide for details. The code repository and prebuilt binaries for all MediaPipe Legacy Solutions will continue to be provided on an as-is basis.

For more on the legacy solutions, see the documentation.

Framework

To start using MediaPipe Framework, install MediaPipe Framework and start building example applications in C++, Android, and iOS.

MediaPipe Framework is the low-level component used to build efficient on-device machine learning pipelines, similar to the premade MediaPipe Solutions.

Before using MediaPipe Framework, familiarize yourself with the following key Framework concepts:

Community

  • Slack community for MediaPipe users.
  • Discuss - General community discussion around MediaPipe.
  • Awesome MediaPipe - A curated list of awesome MediaPipe related frameworks, libraries and software.

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.

Resources

Publications

Videos