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https://github.com/amir22010/mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

https://github.com/amir22010/mediapipe

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ○
    codemeta.json file
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    .zenodo.json file
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    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.1%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

Basic Info
  • Host: GitHub
  • Owner: Amir22010
  • License: apache-2.0
  • Language: C++
  • Default Branch: master
  • Homepage: https://mediapipe.dev
  • Size: 92 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Fork of google/mediapipe
Created almost 7 years ago · Last pushed almost 7 years ago

https://github.com/Amir22010/mediapipe/blob/master/ 

![MediaPipe](mediapipe/docs/images/mediapipe_small.png?raw=true "MediaPipe logo")
=======================================================================

[MediaPipe](http://mediapipe.dev) is a framework for building multimodal (eg. video, audio, any time series data) applied ML pipelines. With MediaPipe, a perception pipeline can be built as a graph of modular components, including, for instance, inference models (e.g., TensorFlow, TFLite) and media processing functions.

![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif)

## ML Solutions in MediaPipe

* [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md)
* [Face Detection](mediapipe/docs/face_detection_mobile_gpu.md)
* [Hair Segmentation](mediapipe/docs/hair_segmentation_mobile_gpu.md)
* [Object Detection](mediapipe/docs/object_detection_mobile_gpu.md)

![hand_tracking](mediapipe/docs/images/mobile/hand_tracking_3d_android_gpu_small.gif)
![face_detection](mediapipe/docs/images/mobile/face_detection_android_gpu_small.gif)
![hair_segmentation](mediapipe/docs/images/mobile/hair_segmentation_android_gpu_small.gif)
![object_detection](mediapipe/docs/images/mobile/object_detection_android_gpu_small.gif)

## Installation
Follow these [instructions](mediapipe/docs/install.md).

## Getting started
See mobile and desktop [examples](mediapipe/docs/examples.md).

## Documentation
[MediaPipe Read-the-Docs](https://mediapipe.readthedocs.io/) or [docs.mediapipe.dev](https://docs.mediapipe.dev)

Check out the [Examples page](https://mediapipe.readthedocs.io/en/latest/examples.html) for tutorials on how to use MediaPipe. [Concepts page](https://mediapipe.readthedocs.io/en/latest/concepts.html) for basic definitions

## Visualizing MediaPipe graphs
A web-based visualizer is hosted on [viz.mediapipe.dev](https://viz.mediapipe.dev/). Please also see instructions [here](mediapipe/docs/visualizer.md).

## Community forum
*  [Discuss](https://groups.google.com/forum/#!forum/mediapipe) - General community discussion around MediaPipe

## Publications
* [MediaPipe: A Framework for Building Perception Pipelines](https://arxiv.org/abs/1906.08172)

## Events
[Open sourced at CVPR 2019](https://sites.google.com/corp/view/perception-cv4arvr/mediapipe) on June 17~20 in Long Beach, CA

## Alpha Disclaimer
MediaPipe is currently in alpha for v0.6. We are still making breaking API changes and expect to get to stable API by v1.0.

## Contributing
We welcome contributions. Please follow these [guidelines](./CONTRIBUTING.md).

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

Owner

  • Name: Amir Khan
  • Login: Amir22010
  • Kind: user
  • Location: India

working on developing a state of art AI solutions mainly in computer vision, chat bots and nlp domain. building an awesome AI as a professional developer 😍.

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