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PiperOrigin-RevId: 253518716
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MediaPipe Team
2019-06-17 06:29:54 -07:00
committed by jqtang
parent d68f5e4169
commit e647b361e7
3 changed files with 6 additions and 6 deletions
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@@ -8,9 +8,9 @@ machine learning pipeline can be built as a graph of modular components,
including, for instance, inference models and media processing functions. Sensory
data such as audio and video streams enter the graph, and perceived descriptions
such as object-localization and face-landmark streams exit the graph. An example
graph that performs real-time face detection on mobile GPU is shown below.
graph that performs real-time hair segmentation on mobile GPU is shown below.
.. image:: images/mobile/face_detection_android_gpu.png
.. image:: images/mobile/hair_segmentation_android_gpu.png
:width: 400
:alt: Example MediaPipe graph