Adapting head pose scripts with the changed multi-face interface.

This commit is contained in:
Tadas Baltrusaitis 2018-02-25 09:57:46 +00:00
parent 4192e85a8f
commit 5676450825
3 changed files with 25 additions and 8 deletions

View File

@ -24,10 +24,16 @@ for i=1:numel(seqNames)
confidence_id = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'confidence'));
rot_ids = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'pose_R'));
t_ids = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'pose_T'));
end
all_params = dlmread(fname, ',', 1, 0);
T = all_params(:,t_ids);
tx = T(:,1);
ty = T(:,2);
tz = T(:,3);
rot{i} = all_params(:, rot_ids);
rels = all_params(:, confidence_id);
@ -35,7 +41,6 @@ for i=1:numel(seqNames)
rels_all = cat(1, rels_all, rels);
rotg{i} = posesGround(:,[5 6 7]);
T = [tx ty tx];
% Correct the first frame so it corresponds to (0,0,0), as slightly
% different pose might be assumed frontal and this corrects for

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@ -18,13 +18,25 @@ function [meanError, all_rot_preds, all_rot_gts, meanErrors, all_errors, rels_al
for i = 1:numel(sequences)
[~, name,~] = fileparts(sequences(i).name);
[frame t, rels, sc tx ty tz rx ry rz] = textread([resDir '/' sequences(i).name], '%f, %f, %f, %f, %f, %f, %f, %f, %f, %f', 'headerlines', 1);
[txg tyg tzg rxg ryg rzg] = textread([gtDir name '/' polhemus], '%f,%f,%f,%f,%f,%f');
fname = [resDir '/' sequences(i).name];
if(i == 1)
% First read in the column names
tab = readtable(fname);
column_names = tab.Properties.VariableNames;
confidence_id = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'confidence'));
rot_ids = cellfun(@(x) ~isempty(x) && x==1, strfind(column_names, 'pose_R'));
end
all_params = dlmread(fname, ',', 1, 0);
rot{i} = all_params(:, rot_ids);
rels = all_params(:, confidence_id);
% the reliabilities of head pose
rels_all = cat(1, rels_all, rels);
rot{i} = [rx ry rz];
[txg tyg tzg rxg ryg rzg] = textread([gtDir name '/' polhemus], '%f,%f,%f,%f,%f,%f');
rotg{i} = [rxg ryg rzg];

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@ -1,4 +1,4 @@
Dataset and model, pitch, yaw, roll, mean, median
biwi error: 7.091, 5.170, 4.657, 5.639, 2.609
bu error: 2.739, 3.349, 2.459, 2.849, 1.974
ict error: 3.498, 3.986, 3.298, 3.594, 1.966
biwi error: 6.981, 5.174, 4.571, 5.575, 2.612
bu error: 2.738, 3.349, 2.459, 2.849, 1.975
ict error: 3.497, 3.985, 3.298, 3.593, 1.965