Project import generated by Copybara.
GitOrigin-RevId: 33adfdf31f3a5cbf9edc07ee1ea583e95080bdc5
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@@ -69,7 +69,7 @@ and renders using a dedicated
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The
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[face landmark subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_landmark/face_landmark_front_gpu.pbtxt)
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internally uses a
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[face detection subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front_gpu.pbtxt)
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[face detection subgraph](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_short_range_gpu.pbtxt)
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from the
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[face detection module](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection).
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@@ -193,7 +193,17 @@ on how to build MediaPipe examples.
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### Web
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Please refer to [these instructions](../index.md#mediapipe-on-the-web).
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You can use the following links to load a demo in the MediaPipe Visualizer, and
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over there click the "Runner" icon in the top bar like shown below. The demos
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use your webcam video as input, which is processed all locally in real-time and
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never leaves your device. Please see
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[MediaPipe on the Web](https://developers.googleblog.com/2020/01/mediapipe-on-web.html)
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in Google Developers Blog for details.
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* [MediaPipe Iris](https://viz.mediapipe.dev/demo/iris_tracking)
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* [MediaPipe Iris: Depth-from-Iris](https://viz.mediapipe.dev/demo/iris_depth)
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## Resources
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