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MediaPipe Team
2020-08-13 15:10:54 -04:00
committed by chuoling
parent 73f4475c17
commit a7225b938a
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docs/index.md
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## Publications
* [BlazePose - On-device Real-time Body Pose Tracking](https://mediapipe.page.link/blazepose-blog)
* [BlazePose - On-device Real-time Body Pose Tracking](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
in Google AI Blog
* [MediaPipe Iris: Real-time Eye Tracking and Depth Estimation](https://ai.googleblog.com/2020/08/mediapipe-iris-real-time-iris-tracking.html)
in Google AI Blog
docs/solutions/pose.md
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nav_order: 5
---
# MediaPipe Pose
# MediaPipe BlazePose
{: .no_toc }
1. TOC
@@ -22,12 +22,13 @@ on top of the physical world in augmented reality.
MediaPipe Pose is a ML solution for high-fidelity upper-body pose tracking,
inferring 25 2D upper-body landmarks from RGB video frames utilizing our
[BlazePose](https://mediapipe.page.link/blazepose-blog) research. Current
state-of-the-art approaches rely primarily on powerful desktop environments for
inference, whereas our method achieves real-time performance on most modern
[mobile phones](#mobile), [desktops/laptops](#desktop), in [python](#python) and
even on the [web](#web). A variant of MediaPipe Pose that performs full-body
pose tracking on mobile phones will be included in an upcoming release of
[BlazePose](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
research. Current state-of-the-art approaches rely primarily on powerful desktop
environments for inference, whereas our method achieves real-time performance on
most modern [mobile phones](#mobile), [desktops/laptops](#desktop), in
[python](#python) and even on the [web](#web). A variant of MediaPipe Pose that
performs full-body pose tracking on mobile phones will be included in an
upcoming release of
[ML Kit](https://developers.google.com/ml-kit/early-access/pose-detection).
![pose_tracking_upper_body_example.gif](../images/mobile/pose_tracking_upper_body_example.gif) |
@@ -91,8 +92,8 @@ The landmark model currently included in MediaPipe Pose predicts the location of
(x, y location and visibility), plus two virtual alignment keypoints. It shares
the same architecture as the full-body version that predicts 33 landmarks,
described in more detail in the
[BlazePose Google AI Blog](https://mediapipe.page.link/blazepose-blog) and in
this [paper](https://arxiv.org/abs/2006.10204).
[BlazePose Google AI Blog](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
and in this [paper](https://arxiv.org/abs/2006.10204).
![pose_tracking_upper_body_landmarks.png](../images/mobile/pose_tracking_upper_body_landmarks.png) |
:------------------------------------------------------------------------------------------------: |
@@ -168,7 +169,7 @@ Please refer to [these instructions](../index.md#mediapipe-on-the-web).
## Resources
* Google AI Blog:
[BlazePose - On-device Real-time Body Pose Tracking](https://mediapipe.page.link/blazepose-blog)
[BlazePose - On-device Real-time Body Pose Tracking](https://ai.googleblog.com/2020/08/on-device-real-time-body-pose-tracking.html)
* Paper:
[BlazePose: On-device Real-time Body Pose Tracking](https://arxiv.org/abs/2006.10204)
([presentation](https://youtu.be/YPpUOTRn5tA))