Skip to content

Mediapipe is a cross-platform machine learning solution for using video data to calculate human face and body poses. Use it in your web or mobile app to track people's movements and identify gestures in real time, or integrate it into your existing applications to detect faces and facial expressions.

License

Notifications You must be signed in to change notification settings

V-Sekai/mediapipe

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mediapipe OSC

See the github actions for build instructions.

Build the binary.

bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/holistic_tracking:holistic_tracking_cpu

Watch a webcam.

bazel-bin/mediapipe/examples/desktop/holistic_tracking/holistic_tracking_cpu --calculator_graph_config_file=mediapipe/graphs/holistic_tracking/holistic_tracking_cpu.pbtxt

Download a creative commons video.

yt-dlp.exe https://www.youtube.com/watch?v=ypkrDdd61wk --recode-video mp4

Aalaya Pilates Latihan Sakit Otot Pinggang - Semua Pilates 30min - Meregangkan sekaligus melatih otot punggung Creative Commons Attribution

Play a video.

.\bazel-bin\mediapipe\examples\desktop\holistic_tracking\holistic_tracking_cpu.exe --calculator_graph_config_file=mediapipe\modules\holistic_landmark\holistic_with_iris.pbtxt --input_video_path "..\Latihan Sakit Otot Pinggang  - Semua Pilates 30min - Meregangkan sekaligus melatih otot punggung [ypkrDdd61wk].m4v"

Was inspired by https://github.com/infosia/vmc2bvh.

Blender OSC stream

Special thanks to wongfei's mediapipe plugin providing iris and world tracking

https://github.com/wongfei/ue4-mediapipe-plugin/blob/ad393cb8ceed7bb10f8267322adeba80049c3a5f/Plugins/MediaPipe/ThirdParty/mediapipe/Data/mediapipe/unreal/holistic_with_iris.pbtxt

References

See also https://github.com/wongfei/ue4-mediapipe-plugin

About

Mediapipe is a cross-platform machine learning solution for using video data to calculate human face and body poses. Use it in your web or mobile app to track people's movements and identify gestures in real time, or integrate it into your existing applications to detect faces and facial expressions.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 64.4%
  • Python 9.3%
  • Java 8.4%
  • Starlark 8.0%
  • Objective-C 3.7%
  • TypeScript 3.3%
  • Other 2.9%