This project utilizes the MediaPipe library to perform real-time 2D pose detection and landmark visualization in images or video streams. It provides robust detection of full-body poses in real time and converts them into a 2D model representation.
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Real-time Pose Detection:: Utilizes the power of MediaPipe to achieve real-time detection of human poses from images or video streams.
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Full Body Detection: Accurately detects and tracks key landmarks representing the full body, including head, torso, arms, and legs.
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2D Model Conversion: Converts the detected poses into a 2D model representation, providing a visual representation of the human body's pose and structure.
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Highly Customizable: The project is highly customizable, allowing users to adjust parameters and configurations to suit their specific requirements.
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Easy Integration: Designed for ease of integration into existing projects or workflows, with simple installation and usage instructions provided.
This project showcases the capabilities of real-time 2D pose detection and landmark visualization using the MediaPipe library. Below are the key features demonstrated in the demo:
