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Even more clean-up, removing redundancy.

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This commit is contained in:
Tadas Baltrusaitis
2017-05-11 17:51:25 -04:00
parent 8f5aa2beef
commit b9cc46bcc7
10 changed files with 8 additions and 50 deletions
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17
matlab_version/experiments_300W/Script_CLNF_general.m
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@@ -70,8 +70,6 @@ num_points = numel(M)/3;
shapes_all = zeros(size(labels,2),size(labels,3), size(labels,1));
labels_all = zeros(size(labels,2),size(labels,3), size(labels,1));
lhoods = zeros(numel(images),1);
all_lmark_lhoods = zeros(num_points, numel(images));
all_views_used = zeros(numel(images),1);
% Use the multi-hypothesis model, as bounding box tells nothing about
% orientation
@@ -99,22 +97,17 @@ for i=1:numel(images)
shapes = zeros(num_points, 2, size(views,1));
ls = zeros(size(views,1),1);
lmark_lhoods = zeros(num_points,size(views,1));
views_used = zeros(num_points,size(views,1));
% Find the best orientation
for v = 1:size(views,1)
[shapes(:,:,v),~,~,ls(v),lmark_lhoods(:,v),views_used(v)] = Fitting_from_bb(image, [], bbox, pdm, patches, clmParams, 'orientation', views(v,:));
[shapes(:,:,v),~,~,ls(v)] = Fitting_from_bb(image, [], bbox, pdm, patches, clmParams, 'orientation', views(v,:));
end
[lhood, v_ind] = max(ls);
lmark_lhood = lmark_lhoods(:,v_ind);
shape = shapes(:,:,v_ind);
view_used = views_used(v);
else
[shape,~,~,lhood,lmark_lhood,view_used] = Fitting_from_bb(image, [], bbox, pdm, patches, clmParams);
[shape,~,~,lhood] = Fitting_from_bb(image, [], bbox, pdm, patches, clmParams);
end
% Perform inner face fitting
@@ -135,9 +128,6 @@ for i=1:numel(images)
[ ~, ~, ~, ~, ~, ~, shape_fit] = fit_PDM_ortho_proj_to_2D_no_reg(pdm.M, pdm.E, pdm.V, shape);
all_lmark_lhoods(:,i) = lmark_lhood;
all_views_used(i) = view_used;
shapes_all(:,:,i) = shape_fit;
else
shapes_all(:,:,i) = shape;
@@ -150,7 +140,6 @@ for i=1:numel(images)
lhoods(i) = lhood;
if(output_img)
v_points = sum(squeeze(labels(i,:,:)),2) > 0;
DrawFaceOnImg(image_orig, shape, sprintf('%s/%s%d.jpg', output_root, 'fit', i), bbox, v_points);
@@ -168,8 +157,6 @@ experiment.errors_normed = compute_error(labels_all, shapes_all + 1.0);
experiment.lhoods = lhoods;
experiment.shapes = shapes_all;
experiment.labels = labels_all;
experiment.all_lmark_lhoods = all_lmark_lhoods;
experiment.all_views_used = all_views_used;
fprintf('Done: mean normed error %.3f median normed error %.4f\n', ...
mean(experiment.errors_normed), median(experiment.errors_normed));