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GitOrigin-RevId: 1e13be30e2c6838d4a2ff768a39c414bc80534bb
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Sebastian Schmidt
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@@ -29,7 +29,7 @@ solutions for these tasks. Combining them all in real-time into a semantically
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consistent end-to-end solution is a uniquely difficult problem requiring
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simultaneous inference of multiple, dependent neural networks.
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:----------------------------------------------------------------------------------------------------: |
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*Fig 1. Example of MediaPipe Holistic.* |
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@@ -54,7 +54,7 @@ full-resolution input frame to these ROIs and apply task-specific face and hand
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models to estimate their corresponding landmarks. Finally, we merge all
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landmarks with those of the pose model to yield the full 540+ landmarks.
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:------------------------------------------------------------------------------: |
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*Fig 2. MediaPipe Holistic Pipeline Overview.* |
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