MoveNet is an ultra fast and accurate model that detects 17 keypoints of a body. The model is offered on TF Hub 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.
*Images downloaded from Pexels (https://www.pexels.com/)
This Colab walks you through the details of how to load MoveNet, and run inference on the input image and video below.
Note: check out the live demo for how the model works!
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support