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License: Apache License 2.0
Benchmark Framework for fair evaluation of rPPG
License: Apache License 2.0
Hello,Thanks for your work, Where can I find the pre-trained model?
As physnet accept batch, channel, length, width, height
i am confused what should be the shape to deepphys?
hello,I have achieved PhysNet、Physformer and RTRPPG. I used MSELoss and Neg PersonLoss to train them with UBFC dataset.However,the best result are as follows RMSE4.3,MAE3.3,PC0.96 ,do you have any better result?
Hello, I'm interested in your research.
I �am wondering if it would be possible to obtain a dataset to train CNIBP ?
raw_video[:, :, :, 3] = video_normalize(raw_video[:, :, :, 3])
Why only first channel of appearance image is normalized ?
I want to collect my own data and train it, but I am no longer a student, and I cannot apply for any datasets. The problem now is that I don't know what the format of the label is, which makes me unsure about how to write the label. Could you tell me the format of the UBFC-rPPG label? If possible, could you also inform me about the format of labels for other datasets like PURE?
I purchased a CMS50E pulse oximeter to measure pulse, but I found that its pulse sampling frequency is only 20 times per minute. How do datasets like UBFC-RPPG write labels at a frame rate of 30 frames per second for image sampling?
Hello.
I have some question for in the file at [rppg/result/csv/result.csv]
[example]
row : 'BigSmall_PURE_PURE_72_30_10'
used model : BigSmall
training dataset : PURE
test dataset : PURE
Image Sise : 72
EVAL_TIME_LENGTH : 30
??? : 10
All of the model combinations are trained and tested by your teams?
How can I read 'calc_comp.csv'file?
I found all the file in this repository but cannot found any description about this.
Thank you and your team for this great job!!
Can you upload pre-trained model?
Hello:
I'm also studying rppg,I have achieved PhysNet、Physformer and RTRPPG. I used MSELoss and Neg PersonLoss to train them with UBFC dataset.However,the best result are as follows RMSE4.3,MAE3.3,PC0.96 ,do you have any better result?
Besides,I don't know how to do preprocess for VIPL-dataset .Can I get your preprocessing sequence for VIPL-dataset ?
At 2022-05-05 17:54:33, "Daeyeol Kim" @.***> wrote:
Try to use bvp.bvp in biosppy.
this function use elgendi algorithm.
Bvp.bvp(signal,sampling_rate)
https://biosppy.readthedocs.io/en/stable/biosppy.signals.html#biosppy.signals.bvp.bvp
2022년 5월 5일 (목) 오후 6:46, huq02 @.***>님이 작성:
Thanks. You have finished hr value estimate? Can you share the code?
At 2022-05-05 11:52:11, "Daeyeol Kim" @.***> wrote:
Hi,
You must find the peak in the BVP signal. I recommend elgendi algorithm.
If you can find the peak(onesets), you can use IBI(peak to peak) to
estimate heart rate.Elgendi Argorithm's implematation can be find in NeuroKit and BIOSPPY.
Elgendi M, Norton I, Brearley M, Abbott D, Schuurmans D (2013) Systolic
Peak Detection in
Acceleration Photoplethysmograms Measured from Emergency Responders in
Tropical Conditions.
PLoS ONE 8(10): e76585. doi:10.1371/journal.pone.0076585.—
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Originally posted by @huq02 in #8 (comment)
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