sustaining_gazes/matlab_version/AU_training/experiments/UNBC/Read_geom_files_dynamic.m

51 lines
1.7 KiB
Matlab

function [geom_data, valid_ids] = Read_geom_files_dynamic(users, model_param_data_dir)
geom_data = [];
valid_ids = [];
load('../../pca_generation/pdm_68_aligned_wild.mat');
for i=1:numel(users)
geom_files = dir([model_param_data_dir, '/' users{i} '*.csv']);
geom_data_curr_p = [];
for g=1:numel(geom_files)
m_file = [model_param_data_dir, '/', geom_files(g).name, '.mat'];
if(~exist(m_file, 'file'))
if(~exist('shape_inds', 'var'))
tab = readtable([model_param_data_dir, '/', geom_files(g).name]);
column_names = tab.Properties.VariableNames;
valid_ind = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'success'));
shape_inds = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'p_'));
end
res = dlmread([model_param_data_dir, '/', geom_files(g).name], ',', 1, 0);
valid = res(:, valid_ind) > 0.7;
res = res(:, shape_inds);
% Do not consider global parameters
res = res(:, 7:end);
save(m_file, 'res', 'valid');
else
load(m_file);
end
actual_locs = res * V';
res = cat(2, actual_locs, res);
valid_ids = cat(1, valid_ids, valid);
geom_data_curr_p = cat(1, geom_data_curr_p, res);
end
geom_data_curr_p = bsxfun(@plus, geom_data_curr_p, -median(geom_data_curr_p));
geom_data = cat(1, geom_data, geom_data_curr_p);
end
end