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GitOrigin-RevId: d38dc934bcd08e03061c37d26d36da216456d10d
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MediaPipe Team
2020-06-12 15:44:38 -04:00
committed by chuoling
parent 59ee17c1f3
commit 67bd8a2bf0
27 changed files with 252 additions and 97 deletions
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@@ -44,7 +44,7 @@ prediction accuracy. In addition, in our pipeline the crops can also be
generated based on the face landmarks identified in the previous frame, and only
when the landmark model could no longer identify face presence is the face
detector invoked to relocalize the face. This strategy is similar to that
employed in our [MediaPipe Hand](./hand.md) solution, which uses a palm detector
employed in our [MediaPipe Hands](./hands.md) solution, which uses a palm detector
together with a hand landmark model.
The pipeline is implemented as a MediaPipe