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View Code? Open in Web Editor NEWDARE: Deception Analysis and Reasoning Engine
License: MIT License
DARE: Deception Analysis and Reasoning Engine
License: MIT License
Hi,
I'm trying to recreate the results from this paper for a university project with a different dataset. However, this repostitory provides only the saved label predictions and some raw features. Is it possible to provide the code that was used to extract features (IDT, micro-expressions, etc.) from the videos?
Thanks!
Hello, I'm really interested in this project, and I am not really all that familiar with Matlab so please bear with me. I suppose I should run the build_gesture_classifier script, but when I tried to run it I encounter several problems. First there's no saved_anno.mat which I assume it's the annotation.xlsx converted to mat files, is this correct? Next there's the k-fold experiment part where there's no example of trainVideo.txt or testVideo.txt provided, I tried running it with my own generated trainVideo.txt and testVideo.txt which only contains the video names of the data. But then I ran into a problem during this line
eval(sprintf('lab_vec(i)=str2num(fea_dict.%s(%d));',name,ges_i));
which generate undefined variable fea_dict, can someone help me please? Or is fea_dict supposed to be in saved_anno.mat which is not included in the repository?
can't find it either in dftv_learning.zip VideoChunks.zip or the repository itself.
Thanks in advance :)
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