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plot_accuracy_keyframe.m
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plot_accuracy_keyframe.m
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function plot_accuracy_keyframe
color = {'r', 'y', 'g', 'b', 'm'};
leng = {'PoseCNN', 'PoseCNN+ICP', 'PoseCNN+Multiview', 'PoseCNN+ICP+Multiview', ...
'3D Coordinate Regression'};
aps = zeros(5, 1);
lengs = cell(5, 1);
close all;
% load results
object = load('results_keyframe.mat');
distances_sys = object.distances_sys;
distances_non = object.distances_non;
rotations = object.errors_rotation;
translations = object.errors_translation;
cls_ids = object.results_cls_id;
index_plot = [4, 2, 5, 3, 1];
% read class names
fid = fopen('classes.txt', 'r');
C = textscan(fid, '%s');
classes = C{1};
classes{end+1} = 'All 21 objects';
fclose(fid);
hf = figure('units','normalized','outerposition',[0 0 1 1]);
font_size = 24;
max_distance = 0.1;
% for each class
for k = 1:numel(classes)
index = find(cls_ids == k);
if isempty(index)
index = 1:size(distances_sys,1);
end
% distance symmetry
subplot(2, 2, 1);
for i = index_plot
D = distances_sys(index, i);
D(D > max_distance) = inf;
d = sort(D);
n = numel(d);
accuracy = cumsum(ones(1, n)) / n;
plot(d, accuracy, color{i}, 'LineWidth', 4);
aps(i) = VOCap(d, accuracy);
lengs{i} = sprintf('%s (%.2f)', leng{i}, aps(i) * 100);
hold on;
end
hold off;
%h = legend('network', 'refine tranlation only', 'icp', 'stereo translation only', 'stereo full', '3d coordinate');
%set(h, 'FontSize', 16);
h = legend(lengs(index_plot), 'Location', 'southeast');
set(h, 'FontSize', font_size);
h = xlabel('Average distance threshold in meter (symmetry)');
set(h, 'FontSize', font_size);
h = ylabel('accuracy');
set(h, 'FontSize', font_size);
h = title(classes{k}, 'Interpreter', 'none');
set(h, 'FontSize', font_size);
xt = get(gca, 'XTick');
set(gca, 'FontSize', font_size)
% distance non-symmetry
subplot(2, 2, 2);
for i = index_plot
D = distances_non(index, i);
D(D > max_distance) = inf;
d = sort(D);
n = numel(d);
accuracy = cumsum(ones(1, n)) / n;
plot(d, accuracy, color{i}, 'LineWidth', 4);
aps(i) = VOCap(d, accuracy);
lengs{i} = sprintf('%s (%.2f)', leng{i}, aps(i) * 100);
hold on;
end
hold off;
%h = legend('network', 'refine tranlation only', 'icp', 'stereo translation only', 'stereo full', '3d coordinate');
%set(h, 'FontSize', 16);
h = legend(lengs(index_plot), 'Location', 'southeast');
set(h, 'FontSize', font_size);
h = xlabel('Average distance threshold in meter (non-symmetry)');
set(h, 'FontSize', font_size);
h = ylabel('accuracy');
set(h, 'FontSize', font_size);
h = title(classes{k}, 'Interpreter', 'none');
set(h, 'FontSize', font_size);
xt = get(gca, 'XTick');
set(gca, 'FontSize', font_size)
% rotation
subplot(2, 2, 3);
for i = index_plot
D = rotations(index, i);
d = sort(D);
n = numel(d);
accuracy = cumsum(ones(1, n)) / n;
plot(d, accuracy, color{i}, 'LineWidth', 4);
hold on;
end
hold off;
%h = legend('network', 'refine tranlation only', 'icp', 'stereo translation only', 'stereo full', '3d coordinate');
%set(h, 'FontSize', 16);
h = legend(leng(index_plot), 'Location', 'southeast');
set(h, 'FontSize', font_size);
h = xlabel('Rotation angle threshold');
set(h, 'FontSize', font_size);
h = ylabel('accuracy');
set(h, 'FontSize', font_size);
h = title(classes{k}, 'Interpreter', 'none');
set(h, 'FontSize', font_size);
xt = get(gca, 'XTick');
set(gca, 'FontSize', font_size)
% translation
subplot(2, 2, 4);
for i = index_plot
D = translations(index, i);
D(D > max_distance) = inf;
d = sort(D);
n = numel(d);
accuracy = cumsum(ones(1, n)) / n;
plot(d, accuracy, color{i}, 'LineWidth', 4);
hold on;
end
hold off;
h = legend(leng(index_plot), 'Location', 'southeast');
set(h, 'FontSize', font_size);
h = xlabel('Translation threshold in meter');
set(h, 'FontSize', font_size);
h = ylabel('accuracy');
set(h, 'FontSize', font_size);
h = title(classes{k}, 'Interpreter', 'none');
set(h, 'FontSize', font_size);
xt = get(gca, 'XTick');
set(gca, 'FontSize', font_size)
filename = sprintf('plots/%s.png', classes{k});
hgexport(hf, filename, hgexport('factorystyle'), 'Format', 'png');
end
function ap = VOCap(rec, prec)
index = isfinite(rec);
rec = rec(index);
prec = prec(index)';
mrec=[0 ; rec ; 0.1];
mpre=[0 ; prec ; prec(end)];
for i = 2:numel(mpre)
mpre(i) = max(mpre(i), mpre(i-1));
end
i = find(mrec(2:end) ~= mrec(1:end-1)) + 1;
ap = sum((mrec(i) - mrec(i-1)) .* mpre(i)) * 10;