A comprehensive Python toolbox designed for Remote Photoplethysmography (rPPG) inference. It provides a unified interface for state-of-the-art deep learning models, enabling physiological signal measurement (such as heart rate and heart rate variability) from facial videos.
A comprehensive Python-based backend system for Remote Photoplethysmography (rPPG) inference, enabling physiological signal measurement such as heart rate and heart rate variability from facial videos using state-of-the-art deep learning models and scalable API architecture.
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