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ultralytics 8.0.114 automatic optimizer selection (#3037)

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Glenn Jocher 2023-06-06 01:09:27 +02:00 • committed by GitHub
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docs/tasks/pose.md
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@ -8,7 +8,7 @@ to as keypoints. The keypoints can represent various parts of the object such as
features. The locations of the keypoints are usually represented as a set of 2D `[x, y]` or 3D `[x, y, visible]`
coordinates.
<img width="1024" src="https://user-images.githubusercontent.com/26833433/239691398-d62692dc-713e-4207-9908-2f6710050e5c.jpg">
<img width="1024" src="https://user-images.githubusercontent.com/26833433/243418616-9811ac0b-a4a7-452a-8aba-484ba32bb4a8.png">
The output of a pose estimation model is a set of points that represent the keypoints on an object in the image, usually
along with the confidence scores for each point. Pose estimation is a good choice when you need to identify specific