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Metadata-Version: 2.1
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Name: mediapipe
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Version: 0.10.14
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Summary: MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
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Home-page: https://github.com/google/mediapipe
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Author: The MediaPipe Authors
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Author-email: mediapipe@google.com
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License: Apache 2.0
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Keywords: mediapipe
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Classifier: Development Status :: 3 - Alpha
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Education
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: Apache Software License
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Classifier: Operating System :: MacOS :: MacOS X
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX :: Linux
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.11
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Topic :: Scientific/Engineering
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Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
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Classifier: Topic :: Software Development
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Classifier: Topic :: Software Development :: Libraries
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Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: absl-py
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Requires-Dist: attrs >=19.1.0
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Requires-Dist: flatbuffers >=2.0
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Requires-Dist: jax
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Requires-Dist: jaxlib
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Requires-Dist: matplotlib
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Requires-Dist: numpy
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Requires-Dist: opencv-contrib-python
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Requires-Dist: protobuf <5,>=4.25.3
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Requires-Dist: sounddevice >=0.4.4
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---
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layout: forward
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target: https://developers.google.com/mediapipe
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title: Home
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nav_order: 1
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---
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----
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**Attention:** *We have moved to
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[https://developers.google.com/mediapipe](https://developers.google.com/mediapipe)
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as the primary developer documentation site for MediaPipe as of April 3, 2023.*
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**Attention**: MediaPipe Solutions Preview is an early release. [Learn
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more](https://developers.google.com/mediapipe/solutions/about#notice).
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**On-device machine learning for everyone**
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Delight your customers with innovative machine learning features. MediaPipe
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contains everything that you need to customize and deploy to mobile (Android,
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iOS), web, desktop, edge devices, and IoT, effortlessly.
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* [See demos](https://goo.gle/mediapipe-studio)
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* [Learn more](https://developers.google.com/mediapipe/solutions)
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## Get started
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You can get started with MediaPipe Solutions by by checking out any of the
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developer guides for
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[vision](https://developers.google.com/mediapipe/solutions/vision/object_detector),
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[text](https://developers.google.com/mediapipe/solutions/text/text_classifier),
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and
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[audio](https://developers.google.com/mediapipe/solutions/audio/audio_classifier)
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tasks. If you need help setting up a development environment for use with
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MediaPipe Tasks, check out the setup guides for
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[Android](https://developers.google.com/mediapipe/solutions/setup_android), [web
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apps](https://developers.google.com/mediapipe/solutions/setup_web), and
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[Python](https://developers.google.com/mediapipe/solutions/setup_python).
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## Solutions
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MediaPipe Solutions provides a suite of libraries and tools for you to quickly
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apply artificial intelligence (AI) and machine learning (ML) techniques in your
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applications. You can plug these solutions into your applications immediately,
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customize them to your needs, and use them across multiple development
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platforms. MediaPipe Solutions is part of the MediaPipe [open source
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project](https://github.com/google/mediapipe), so you can further customize the
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solutions code to meet your application needs.
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These libraries and resources provide the core functionality for each MediaPipe
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Solution:
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* **MediaPipe Tasks**: Cross-platform APIs and libraries for deploying
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solutions. [Learn
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more](https://developers.google.com/mediapipe/solutions/tasks).
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* **MediaPipe models**: Pre-trained, ready-to-run models for use with each
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solution.
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These tools let you customize and evaluate solutions:
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* **MediaPipe Model Maker**: Customize models for solutions with your data.
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[Learn more](https://developers.google.com/mediapipe/solutions/model_maker).
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* **MediaPipe Studio**: Visualize, evaluate, and benchmark solutions in your
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browser. [Learn
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more](https://developers.google.com/mediapipe/solutions/studio).
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### Legacy solutions
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We have ended support for [these MediaPipe Legacy Solutions](https://developers.google.com/mediapipe/solutions/guide#legacy)
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as of March 1, 2023. All other MediaPipe Legacy Solutions will be upgraded to
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a new MediaPipe Solution. See the [Solutions guide](https://developers.google.com/mediapipe/solutions/guide#legacy)
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for details. The [code repository](https://github.com/google/mediapipe/tree/master/mediapipe)
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and prebuilt binaries for all MediaPipe Legacy Solutions will continue to be
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provided on an as-is basis.
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For more on the legacy solutions, see the [documentation](https://github.com/google/mediapipe/tree/master/docs/solutions).
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## Framework
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To start using MediaPipe Framework, [install MediaPipe
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Framework](https://developers.google.com/mediapipe/framework/getting_started/install)
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and start building example applications in C++, Android, and iOS.
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[MediaPipe Framework](https://developers.google.com/mediapipe/framework) is the
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low-level component used to build efficient on-device machine learning
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pipelines, similar to the premade MediaPipe Solutions.
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Before using MediaPipe Framework, familiarize yourself with the following key
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[Framework
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concepts](https://developers.google.com/mediapipe/framework/framework_concepts/overview.md):
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* [Packets](https://developers.google.com/mediapipe/framework/framework_concepts/packets.md)
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* [Graphs](https://developers.google.com/mediapipe/framework/framework_concepts/graphs.md)
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* [Calculators](https://developers.google.com/mediapipe/framework/framework_concepts/calculators.md)
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## Community
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* [Slack community](https://mediapipe.page.link/joinslack) for MediaPipe
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users.
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* [Discuss](https://groups.google.com/forum/#!forum/mediapipe) - General
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community discussion around MediaPipe.
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* [Awesome MediaPipe](https://mediapipe.page.link/awesome-mediapipe) - A
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curated list of awesome MediaPipe related frameworks, libraries and
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software.
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## Contributing
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We welcome contributions. Please follow these
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[guidelines](https://github.com/google/mediapipe/blob/master/CONTRIBUTING.md).
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We use GitHub issues for tracking requests and bugs. Please post questions to
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the MediaPipe Stack Overflow with a `mediapipe` tag.
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## Resources
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### Publications
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* [Bringing artworks to life with AR](https://developers.googleblog.com/2021/07/bringing-artworks-to-life-with-ar.html)
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in Google Developers Blog
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* [Prosthesis control via Mirru App using MediaPipe hand tracking](https://developers.googleblog.com/2021/05/control-your-mirru-prosthesis-with-mediapipe-hand-tracking.html)
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in Google Developers Blog
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* [SignAll SDK: Sign language interface using MediaPipe is now available for
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developers](https://developers.googleblog.com/2021/04/signall-sdk-sign-language-interface-using-mediapipe-now-available.html)
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in Google Developers Blog
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* [MediaPipe Holistic - Simultaneous Face, Hand and Pose Prediction, on
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Device](https://ai.googleblog.com/2020/12/mediapipe-holistic-simultaneous-face.html)
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in Google AI Blog
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* [Background Features in Google Meet, Powered by Web ML](https://ai.googleblog.com/2020/10/background-features-in-google-meet.html)
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in Google AI Blog
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* [MediaPipe 3D Face Transform](https://developers.googleblog.com/2020/09/mediapipe-3d-face-transform.html)
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in Google Developers Blog
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* [Instant Motion Tracking With MediaPipe](https://developers.googleblog.com/2020/08/instant-motion-tracking-with-mediapipe.html)
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in Google Developers Blog
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* [BlazePose - On-device Real-time Body Pose Tracking](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
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in Google AI Blog
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* [MediaPipe Iris: Real-time Eye Tracking and Depth Estimation](https://ai.googleblog.com/2020/08/mediapipe-iris-real-time-iris-tracking.html)
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in Google AI Blog
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* [MediaPipe KNIFT: Template-based feature matching](https://developers.googleblog.com/2020/04/mediapipe-knift-template-based-feature-matching.html)
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in Google Developers Blog
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* [Alfred Camera: Smart camera features using MediaPipe](https://developers.googleblog.com/2020/03/alfred-camera-smart-camera-features-using-mediapipe.html)
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in Google Developers Blog
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* [Real-Time 3D Object Detection on Mobile Devices with MediaPipe](https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html)
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in Google AI Blog
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* [AutoFlip: An Open Source Framework for Intelligent Video Reframing](https://ai.googleblog.com/2020/02/autoflip-open-source-framework-for.html)
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in Google AI Blog
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* [MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
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in Google Developers Blog
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* [Object Detection and Tracking using MediaPipe](https://developers.googleblog.com/2019/12/object-detection-and-tracking-using-mediapipe.html)
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in Google Developers Blog
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* [On-Device, Real-Time Hand Tracking with MediaPipe](https://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html)
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in Google AI Blog
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* [MediaPipe: A Framework for Building Perception Pipelines](https://arxiv.org/abs/1906.08172)
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### Videos
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* [YouTube Channel](https://www.youtube.com/c/MediaPipe)
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