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Hi,
Impressive work, it looks so simple.
In my view, the core of the work consists of three types of loss: Bandwidth, Sparsity, and Variance, which are referred to as `IPR`, `SNR`, and `EMD` i…
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Hello, I want to use this toolbox to extract rppg from palm veins. Is it feasible?
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Hello, I try to train on the COHFACE dataset and test on the UFBC-rppg dataset, modify the existing .yaml and save it as a new COHFACE_COHFACE_UBFC-rPPG_DEEPPHYS_BASIC.yaml file, and then I use this f…
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```
(rppg-toolbox) PS C:\Users\bsing\rPPG-Toolbox-main> python main.py --config_file ./configs/train_configs/SCAMPS_SCAMPS_UBFC-rPPG_PHYSNET_BASIC.yaml
=> Merging a config file from ./configs/train_…
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```
(rppg-toolbox) PS C:\Users\bsing\rPPG-Toolbox-main> python main.py --config_file ./configs/train_configs/SCAMPS_SCAMPS_UBFC-rPPG_PHYSNET_BASIC.yaml
=> Merging a config file from ./configs/train_…
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python main.py --config_file ./configs/train_configs/PURE_PURE_UBFC-rPPG_TSCAN_BASIC.yaml
When I encounter an error while running the above command, how should I resolve it?
====Training Epoch: 29==…
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Hi，I want to known how can I get DBP and SBP based on rPPG。how can I get model.predict() function?
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Training on UBFC-PHYS and testing on UBFC-rPPG yield results as below.
FFT MAE (FFT Label): 31.766183035714285 +/- 2.9729503718557555
FFT RMSE (FFT Label): 37.152450915467575 +/- 191.0622686231989…
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```
(py370) C:\Users\bunny\Desktop\Meta-rPPG>py train.py
----------- Networks initialized -------------
Total number of parameters : 0.380 M
---------------------end----------------------
dataset…
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Hello! I would like to inquire about replicating your paper using the UBFC dataset. I have set the number of epochs to 30, while keeping the other parameters the same as those provided in your paper. …