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awesome_video_person_reid

papers collection and understanding for video person re-identification

cnn_lstm_heartrateestimation

CNN-LSTM based Heart Rate Estimation from PPG and Accleration

community

cvd-physiological-measurement

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (ECCV2020 oral)

deep-rppg

Deep learning (neural network) based remote photoplethysmography: how to extract pulse signal from video using deep learning tools

deeppulse-pytorch

face-mask-detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

hr-cnn

HR-CNN - Spetlik, R., Franc, V., Cech, J. and Matas, J. (2018) Visual Heart Rate Estimation with Convolutional Neural Network. In Proceedings of British Machine Vision Conference, 2018

hr-estimation-cvpr2016

Implementation of CVPR2016 for Heart-Rate estimation.

human_activity_recognition_lrcn

non-local_pytorch

Implementation of Non-local Block.

pythonvideopulseratev2

Video Pulserate monitor using opencv and the chrominance method

pytorch_rppgs

implement rppg(fppg) inference model using pytorch

pyvhr

Python framework for Virtual Heart Rate

residual-3dcnn-rppg

rppg-heart-rate-estimation-traditional-method

rppg-pos

Remote photoplethysmography measures heart rate of a person without any contact, from their video. This is an implementation of rPPG called as Plane Orthogonal-to-Skin (POS) as described in the IEEE paper - "Algorithmic Principles of Remote PPG," W. Wang, A. C. den Brinker, S. Stuijk and G. de Haan.

st_map

将视频剪切成2.5s的片段，并生成RhythmNet中的ST_map