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

Last update: Dec 13, 2022

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Overview

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:

Cropped input image
End-to-end trained model (baseline)
Meta-rPPG (transducive inference)
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}
}

Comments

learning phase

Thanks for releasing the code for the meta-rPPG paper! Very interesting paper!

I am wondering where is the code for the learning phase described in the algrotihm 1 (Training of Meta-Learner)? Is it 'def fewshot_learning' whic is currently unifished? If so, does the trainng pipeline work without it?

Thanks!

opened by xliucs 7
Where do the benchmarks for other methods on UBFC come from?

In the paper there is a comparison of Meta-rPPG with other methods, but not all of the referenced authors list MAE, RMSE and r on UBFC. Could you please tell me whether you have trained these models on your own data as well?

opened by aptlin 1
Duplicate few-shot updates of the encoder

Thanks so much for releasing the code for the great paper!

At the moment the encoder seems to get updated twice during validation, judging from the following two loops:

https://github.com/eugenelet/Meta-rPPG/blob/bab00d97731d07966eaa3ca700be153fac0bd50a/model/main_model.py#L367

https://github.com/eugenelet/Meta-rPPG/blob/bab00d97731d07966eaa3ca700be153fac0bd50a/model/main_model.py#L376

Is it a bug? Am I missing anything?

opened by aptlin 1
What should be the input for the method set_input_for_test?

Based on the example.pth, I thought it should be a tensor with size (1, 60, 3, 64, 64) representing the input returned by the test SlideWindowDataLoader, but when I try to use this method with model.test(), it gives me the following error: "Expected hidden[0] size (4, 1, 60), got (4, 3, 60)". So I would like to know what should be the shape. Also, if possible, could tell me the diference between model.fewshot_test() and model.test()?

opened by LucasLO1 0
PreProcessing Issue
It is calling baseline process function, after checking baseline process it seems you are doing mean subtraction, mask multiplication and butter processing, but when I checked the output It is actually only doing mean subtraction and not mask multiplication and butter etc. Is it intentional or is it a bug in code ? Thanks

self.baseline_procress(inputs, masks.clone()) ppg = self.quantify(ppg)
opened by AnmolDuaAI 0
Pretrained model

Hi, Thank you for releasing the code for Meta-rPPG, very interesting paper indeed. However, It would be really helpful if you could provided access to the custom training data-set or if privacy is a concern you could maybe upload the pretrained model.

Thank you.

opened by ridasaleem0 0
train on VIPL dataset

Hi @eugenelet @EvanChen022kan, Thanks for your work, I know that BVP is the signal that results when highpass filtering the PPG signal, so can I use BVP in VIPL dataset as ground truth label in model? How do you normalize ppg label in example.pth file?

opened by chuan298 0
UBFC Video - In which part of the code we need to pass it ?

Hi All,

I'm working on this meta-rPPG. I got access for UBFC dataset for validation.

But I'm not sure how to pass the bunch of subject.

In the current work, author directly passed .pth format.

Please help me with it

opened by keerthanas18 0

Owner

Eugene Lee

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