sustaining_gazes/matlab_version/AU_training/data extraction/extract_features_CK.m

42 lines
1.2 KiB
Matlab

clear
features_exe = '"..\..\..\x64\Release\FeatureExtraction.exe"';
ck_loc = 'D:\Datasets\ck+\cohn-kanade-images\';
out_loc = 'D:\datasets\face_datasets/hog_aligned_rigid\';
out_loc_params = 'D:\datasets\face_datasets/clm_params\';
% Go two levels deep
ck_dirs = dir(ck_loc);
ck_dirs = ck_dirs(3:end);
parfor f1=1:numel(ck_dirs)
ck_dirs_level_2 = dir([ck_loc, ck_dirs(f1).name]);
ck_dirs_level_2 = ck_dirs_level_2(3:end);
for f2=1:numel(ck_dirs_level_2)
if(~isdir([ck_loc, ck_dirs(f1).name, '/', ck_dirs_level_2(f2).name]))
continue;
end
command = features_exe;
curr_vid = [ck_loc, ck_dirs(f1).name, '/', ck_dirs_level_2(f2).name];
name = [ck_dirs(f1).name, '_', ck_dirs_level_2(f2).name];
output_file = [out_loc name '/'];
output_hog = [out_loc name '.hog'];
output_params = [out_loc_params name '.txt'];
command = cat(2, command, [' -rigid -asvid -fdir "' curr_vid '" -simalign "' output_file '" -simscale 0.7 -simsize 112 -g -q ']);
command = cat(2, command, [' -hogalign "' output_hog, '"' ]);
dos(command);
end
end