Implementation of "Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner"

Overview

License CC BY-NC-SA 4.0 Python 3.6

Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner

This repository is the official implementation of Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner that has been accepted to ECCV 2020.

Heatmap Visualization

Left to right:

  1. Cropped input image
  2. End-to-end trained model (baseline)
  3. Meta-rPPG (transducive inference)
  4. Top to down: rPPG signal, Power Spectral Density (PSD), Predicted and ground truth heart rate

Requirements

To install requirements:

pip install -r requirements.txt

All experiments can be run on a single NVIDIA GTX1080Ti GPU.

The code was tested with python3.6 the following software versions:

Software version
cuDNN 7.6.5
Pytorch 1.5.0
CUDA 10.2

Training

Training Data Preparation

Download training data (example.pth) from Google Drive. Due to privacy issue (face images), provided data contains only a subset of the entire training data, i.e. contains faces of the authors of this paper.

Move example.pth to data/ directory:

mv example.pth data/

Begin Training

To begin training, run:

python3 train.py

Validation Data

Validation data can be requested from:

MAHNOB-HCI

UBFC-rPPG

Contributing

If you find this work useful, consider citing our work using the following bibTex:

@inproceedings{lee2020meta,
  title={Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner},
  author={Lee, Eugene and Chen, Evan and Lee, Chen-Yi},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2020}
}
Owner
Eugene Lee
Live. Code. Hack.
Eugene Lee
Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

Self-Supervised Reward Regression (SSRR) Codebase for CoRL 2021 paper "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression "

19 Dec 12, 2022
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

Lossy Compression for Lossless Prediction Using: Training: This repostiory contains our implementation of the paper: Lossy Compression for Lossless Pr

Yann Dubois 84 Jan 02, 2023
Jittor implementation of PCT:Point Cloud Transformer

PCT: Point Cloud Transformer This is a Jittor implementation of PCT: Point Cloud Transformer.

MenghaoGuo 547 Jan 03, 2023
Convnext-tf - Unofficial tensorflow keras implementation of ConvNeXt

ConvNeXt Tensorflow This is unofficial tensorflow keras implementation of ConvNe

29 Oct 06, 2022
The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing

CSGStumpNet The official implementation of CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing Paper | Project page

Daxuan 39 Dec 26, 2022
Data-driven reduced order modeling for nonlinear dynamical systems

SSMLearn Data-driven Reduced Order Models for Nonlinear Dynamical Systems This package perform data-driven identification of reduced order model based

Haller Group, Nonlinear Dynamics 27 Dec 13, 2022
LBK 26 Dec 28, 2022
TakeInfoatNistforICS - Take Information in NIST NVD for ICS

Take Information in NIST NVD for ICS This project developed with Python. When yo

5 Sep 05, 2022
Deep Image Matting implementation in PyTorch

Deep Image Matting Deep Image Matting paper implementation in PyTorch. Differences "fc6" is dropped. Indices pooling. "fc6" is clumpy, over 100 millio

Yang Liu 724 Dec 27, 2022
A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch

A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch The official pytorch implementation of the paper "Towards Faster and Stabilize

Bingchen Liu 455 Jan 08, 2023
A vision library for performing sliced inference on large images/small objects

SAHI: Slicing Aided Hyper Inference A vision library for performing sliced inference on large images/small objects Overview Object detection and insta

Open Business Software Solutions 2.3k Jan 04, 2023
Team Enigma at ArgMining 2021 Shared Task: Leveraging Pretrained Language Models for Key Point Matching

Team Enigma at ArgMining 2021 Shared Task: Leveraging Pretrained Language Models for Key Point Matching This is our attempt of the shared task on Quan

Manav Nitin Kapadnis 12 Jul 08, 2022
DeLiGAN - This project is an implementation of the Generative Adversarial Network

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Net

Video Analytics Lab -- IISc 110 Sep 13, 2022
This repository is maintained for the scientific paper tittled " Study of keyword extraction techniques for Electric Double Layer Capacitor domain using text similarity indexes: An experimental analysis "

kwd-extraction-study This repository is maintained for the scientific paper tittled " Study of keyword extraction techniques for Electric Double Layer

ping 543f 1 Dec 05, 2022
A CNN model to detect hand gestures.

Software Used python - programming language used, tested on v3.8 miniconda - for managing virtual environment Libraries Used opencv - pip install open

Shivanshu 6 Jul 14, 2022
Pun Detection and Location

Pun Detection and Location “The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition Yichao Zhou, Jyun-yu Jia

lawson 3 May 13, 2022
Real-time multi-object tracker using YOLO v5 and deep sort

This repository contains a two-stage-tracker. The detections generated by YOLOv5, a family of object detection architectures and models pretrained on the COCO dataset, are passed to a Deep Sort algor

Mike 3.6k Jan 05, 2023
Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually.

Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually. It uses the concept of Image Background Removal using DeepLab Architecture (based on Semantic Se

Devashi Choudhary 5 Aug 24, 2022
[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

EOPSN: Exemplar-Based Open-Set Panoptic Segmentation Network (CVPR 2021) PyTorch implementation for EOPSN. We propose open-set panoptic segmentation t

Jaedong Hwang 49 Dec 30, 2022
League of Legends Reinforcement Learning Environment (LoLRLE) multiple training scenarios using PPO.

League of Legends Reinforcement Learning Environment (LoLRLE) About This repo contains code to train an agent to play league of legends in a distribut

2 Aug 19, 2022