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movenet-myking

TF-Keras
pose-detection
Model card Files
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- tags:
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- - pose-detection
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  **[MoveNet](https://t.co/QpfnVL0YYI?amp=1)** is an ultra fast and accurate model that detects 17 keypoints of a body. The model is offered on [TF Hub](https://tfhub.dev/s?q=movenet) with two variants, known as Lightning and Thunder. Lightning is intended for latency-critical applications, while Thunder is intended for applications that require high accuracy. Both models run faster than real time (30+ FPS) on most modern desktops, laptops, and phones, which proves crucial for live fitness, health, and wellness applications.
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  <img src="https://github.com/tensorflow/tfjs-models/raw/master/pose-detection/assets/combined_squat_dance.gif" alt="drawing"/>
 
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  *Images downloaded from Pexels (https://www.pexels.com/)
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+ tags:
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+ - pose-detection
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+ ---
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  **[MoveNet](https://t.co/QpfnVL0YYI?amp=1)** is an ultra fast and accurate model that detects 17 keypoints of a body. The model is offered on [TF Hub](https://tfhub.dev/s?q=movenet) with two variants, known as Lightning and Thunder. Lightning is intended for latency-critical applications, while Thunder is intended for applications that require high accuracy. Both models run faster than real time (30+ FPS) on most modern desktops, laptops, and phones, which proves crucial for live fitness, health, and wellness applications.
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  <img src="https://github.com/tensorflow/tfjs-models/raw/master/pose-detection/assets/combined_squat_dance.gif" alt="drawing"/>
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+ <img src="https://www.tensorflow.org/static/hub/tutorials/movenet_files/output_VHmTwACwFW-v_1.png" alt="ouline"/>
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  *Images downloaded from Pexels (https://www.pexels.com/)
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