Yolo Pose Estimation and Skeleton: Difference between revisions
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== Yolo == | == Yolo == | ||
There are 17 keypoints. YOLOv11’s pose model outputs: | |||
* (x, y) coordinates for each keypoint and | |||
* confidence scores indicating the model’s certainty in each keypoint’s position. | |||
== Images == | == Images == | ||
Revision as of 19:34, 5 October 2025
Introduction
Make a pose estimator and use it to make a moving skeleton.
Use Yolo from Ultralytics.
- Python 3.7+
- Yolo v11
- A CUDA-enabled GPU (optional but recommended for faster inference).
pip install ultralytics opencv-python numpy
Yolo
There are 17 keypoints. YOLOv11’s pose model outputs:
- (x, y) coordinates for each keypoint and
- confidence scores indicating the model’s certainty in each keypoint’s position.
