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Real-Time Pose Detection in C++ using Machine Learning with TensorFlow Lite

Real-Time Pose Detection in C++ using Machine Learning with TensorFlow Lite

This article explores using TensorFlow Lite in C++ for real-time human pose estimation using a model downloaded from TensorFlow Hub. It provides a comprehensive overview of the essential concepts involved, from loading the neural network model to interpreting the output. It also includes code snippets, instructions for installing TensorFlow Lite and OpenCV dependencies, and building the project, making it an exciting read for tech enthusiasts interested in deep learning models.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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