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humanPoseTracking/save_txt_2_mat.m
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function save_txt_2_mat(sequence, densematch_dir) | |
% convert the deepmatching txt to mat file | |
img_list = {sequence.image}; | |
% assume the images from the same sequence has the same size | |
img_size = size(imread(img_list{1})); % assume all the image have the same size | |
% load dense matching | |
densematch_list = dir([densematch_dir '*DM*.txt']); | |
densematch = cell(length(img_list)); | |
for i = 1:length(img_list)-1 | |
fprintf(' parsing dense matching for frame %g out of %d \n', i,length(img_list)); | |
im_1 = img_list{i}; [~,name_1,~] = fileparts(im_1); | |
im_2 = img_list{i+1}; [~,name_2,~] = fileparts(im_2); | |
densematch_file = [densematch_dir name_1 '-DM-' name_2 '.txt']; | |
% read and convert sub 2 ind | |
sub = load(densematch_file); | |
sub(sub(:,3)==0,3) = 1;sub(sub(:,4)==0,4) = 1; | |
ind_1 = sub2ind(img_size(1:2), sub(:,2), sub(:,1)); | |
ind_2 = sub2ind(img_size(1:2), sub(:,4), sub(:,3)); | |
densematch{i,i+1} = [ind_1,ind_2]; | |
end | |
save([densematch_dir 'densematch.mat'],'densematch','-v7.3'); | |
end | |