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Pose Estimation with the Fastest Python Deep Learning Model | MoveNet Lightning 3 года назад


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Pose Estimation with the Fastest Python Deep Learning Model | MoveNet Lightning

MoveNet Lightning is hella fast and great for fitness applications. In this vid, you'll learn how to use it! In this video you'll learn how to: 1. Instal MoveNet for Python 2. Load MoveNet using TFLite 3. Rendering Pose Estimation results from scratch 4. Perform real time pose estimation using OpenCV Get the code: GitHub: https://github.com/nicknochnack/MoveN... Links Download Model: https://tfhub.dev/google/lite-model/m... Model Card: https://storage.googleapis.com/movene... Chapters 0:00 - Start 0:17 - Introduction 0:46 - Gameplan 1:21 - How it Works 2:11 - Tutorial 3:36 - 0. Install and Import Dependencies 6:42 - 1. Load TFLite Model 12:31 - 2. Make Pose Detections 28:29 - 3. Draw Keypoints 36:57 - 4. Draw Connections 50:36 - Wrap Up Oh, and don't forget to connect with me! LinkedIn: https://bit.ly/324Epgo Facebook: https://bit.ly/3mB1sZD GitHub: https://bit.ly/3mDJllD Patreon: https://bit.ly/2OCn3UW Join the Discussion on Discord: https://bit.ly/3dQiZsV Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!

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