Benchmark Framework for fair evaluation of rPPG
-
Updated
Dec 9, 2025 - Python
Benchmark Framework for fair evaluation of rPPG
PyTorch implementation of pulse measurement neural networks.
Deep learning-based remote photoplethysmography (rPPG): how to extract pulse signal from video using deep learning tools
Selective prediction with calibrated uncertainty for contactless arrhythmia detection from facial video (rPPG). Benchmarks five UQ methods on AF / NSR / Other classification.
Add a description, image, and links to the physnet topic page so that developers can more easily learn about it.
To associate your repository with the physnet topic, visit your repo's landing page and select "manage topics."