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These models can range from simple algorithms for 2D pose estimation to more complex systems that infer 3D poses. Recent advances in deep learning have significantly improved the accuracy and robustness of pose estimation systems, enabling their use in real-time applications.
'''MediaPipe''' is an advanced computer vision tool developed by Google, designed to accurately identify and track human poses in real-time. MediaPipe leverages machine learning to detect and map out keypoints on the human body, such as the elbows, knees, and shoulders, providing a detailed understanding of body posture and movements.
