fixed errors in docs
Signed-off-by: Pratyay Banerjee <[email protected]>
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@@ -75,7 +75,7 @@ previous frame as a guide to the object region on the current one. However,
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during fast movements, the tracker can lose the target, which requires the
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detector to re-localize it in the image. MediaPipe Holistic uses
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[pose](./pose.md) prediction (on every frame) as an additional ROI prior to
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reduce the response time of the pipeline when reacting to fast movements. This
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reducing the response time of the pipeline when reacting to fast movements. This
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also enables the model to retain semantic consistency across the body and its
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parts by preventing a mixup between left and right hands or body parts of one
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person in the frame with another.
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@@ -143,7 +143,7 @@ The landmark model in MediaPipe Pose predicts the location of 33 pose landmarks
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:----------------------------------------------------------------------------------------------: |
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*Fig 4. 33 pose landmarks.* |
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Optionally, MediaPipe Pose can predicts a full-body
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Optionally, MediaPipe Pose can predict a full-body
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[segmentation mask](#segmentation_mask) represented as a two-class segmentation
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(human or background).
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