Hard

Pose Detection Demo

When you are ready to showcase your work and gather feedback, start the challenge.

Requirements

  • Use a pose detection model to track and count exercises.
  • Display the count of exercises performed by the user.

Notes

  • Focus on functionality over styling.
  • Use something like TensorFlow MoveNet or any other recent pose detection models.
  • Ensure the component updates in real-time to reflect the user's movements.

Suggested Resources

  1. TensorFlow MoveNet
    • MoveNet is an ultra-fast and accurate model that detects 17 keypoints of a body, suitable for real-time applications.
  2. TensorFlow.js Pose Detection
    • Includes models like MoveNet and BlazePose, providing multiple state-of-the-art options for running real-time pose detection.
  3. MediaPipe BlazePose
    • A model that can be used for high-fidelity body tracking, providing accurate keypoint detection.

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