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wangzhifengharrison / HTNet

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dataset #2

Open RuowangLIu opened 1 year ago

RuowangLIu commented 1 year ago

Hi, I am interested in your paper, can you share the dataset of the three dataset fusion, good luck with your research!

wangzhifengharrison commented 1 year ago

You need to download SAMM, SMIC and CASME II from official website.

RuowangLIu commented 1 year ago

Unfortunately, I can't get a link to the SMIC database because the official url is not working, can you give me the SMIC resources?

wangzhifengharrison commented 1 year ago

Unfortunately, I can't get a link to the SMIC database because the official url is not working, can you give me the SMIC resources?

You can go to the official SMIC website and sign the agreement to request the dataset. https://www.oulu.fi/en/university/faculties-and-units/faculty-information-technology-and-electrical-engineering/center-machine-vision-and-signal-analysis

RuowangLIu commented 1 year ago

I put the dataset in dataset but it keeps reporting error. Can you please explain in detail the operation in step 2, such as combined_datasets_whole and three_norm_u_v_os which dataset to put in the dataset, and how to deal with the original map and optical flow map, I look forward to your reply thank you!

wangzhifengharrison commented 12 months ago

The two 'combined_datasets_whole' and 'three_norm_u_v_os' which dataset are required to put in the 'dataset'. combined_datasets_whole is the original image which is used to detect facial landmarks. three_norm_u_v_os is the optical flow dataset. You can have a look at this website: http://www.ipol.im/pub/art/2013/26/

RuowangLIu commented 12 months ago

Hello, may I ask this optical flow chart are this website online realization, he saved the tiff file why is black and white, the other two files have can not open, so I in https://github.com/IcedDoggie/Micro-Expression-with-Deep-Learning/tree/ master/External-Tools/tvl1flow_3 here to get the code, but this code I do not know how to run, I hope you can give me some advice very thank you.