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run_tracker_performance_evaluation.m
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run_tracker_performance_evaluation.m
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% Tracker performance evaluation tool for LaSOT
% 07/19/2018 by Heng Fan
clc; clear; close all;
addpath('./utils/');
addpath('./sequence_evaluation_config/');
tmp_mat_path = './tmp_mat/'; % path to save temporary results
path_anno = './annos/'; % path to annotations
path_att = './annos/att/'; % path to attribute
rp_all = './tracking_results/'; % path to tracking results
save_fig_path = './res_fig/'; % path to result figures
save_fig_suf = 'eps'; % suffix of figures, 'png' or 'eps'
att_name = {'Illumination Variation', 'Partial Occlusion', 'Deformation', ...
'Motion Blur', 'Camera Motion', 'Rotation', 'Background Clutter', ...
'Viewpoint Change', 'Scale Variation', 'Full Occlusion', 'Fast Motion', ...
'Out-of-View', 'Low Resolution', 'Aspect Ration Change'};
att_fig_name = {'IV', 'POC', 'DEF', 'MB', 'CM', 'ROT', 'BC', ...
'VC', 'SV', 'FOC', 'FM', 'OV', 'LR', 'ARC'};
% 'all' --- evaluation with the whole benchmark
% 'test_set' --- evaluation with training subset
evaluation_dataset_type = 'all';
% use normalization or not
norm_dst = false;
trackers = config_tracker();
sequences = config_sequence(evaluation_dataset_type);
plot_style = config_plot_style();
num_seq = numel(sequences);
num_tracker = numel(trackers);
% load tracker info
name_tracker_all = cell(num_tracker, 1);
for i = 1:num_tracker
name_tracker_all{i} = trackers{i}.name;
end
% load sequence info
name_seq_all = cell(num_seq, 1);
for i = 1:num_seq
name_seq_all{i} = sequences{i};
seq_att = dlmread(fullfile(path_att, [sequences{i} '.txt']));
if i == 1
att_all = zeros(num_seq, numel(seq_att));
end
att_all(i, :) = seq_att;
end
% parameters for evaluation
metric_type_set = {'error', 'overlap'};
eval_type = 'OPE';
% ranking_type = 'AUC';
ranking_type = 'threshold'; % change it to 'AUC' for success plots
rank_num = 35;
threshold_set_error = 0:50;
if norm_dst
threshold_set_error = threshold_set_error / 100;
end
threshold_set_overlap = 0:0.05:1;
for i = 1:numel(metric_type_set)
% error (for distance plots) or overlap (for success plots)
metric_type = metric_type_set{i};
switch metric_type
case 'error'
threshold_set = threshold_set_error;
rank_idx = 21;
x_label_name = 'Location error threshold';
y_label_name = 'Precision';
case 'overlap'
threshold_set = threshold_set_overlap;
rank_idx = 11;
x_label_name = 'Overlap threshold';
y_label_name = 'Success rate';
end
% if strcmp(metric_type, 'error') && strcmp(ranking_type, 'AUC') % for ranking_type = 'AUC'
if strcmp(metric_type, 'overlap') && strcmp(ranking_type, 'threshold') % for ranking_type = 'threshold'
continue;
end
t_num = numel(threshold_set);
% we only use OPE for evaluation
plot_type = [metric_type '_' eval_type];
switch metric_type
case 'error'
title_name = ['Precision plots of ' eval_type];
if norm_dst
title_name = ['Normalized ' title_name];
end
if strcmp(evaluation_dataset_type, 'all')
title_name = [title_name ' on LaSOT'];
else
title_name = [title_name ' on LaSOT Testing Set'];
end
case 'overlap'
title_name = ['Success plots of ' eval_type];
if strcmp(evaluation_dataset_type, 'all')
title_name = [title_name ' on LaSOT'];
else
title_name = [title_name ' on LaSOT Testing Set'];
end
end
dataName = [tmp_mat_path 'aveSuccessRatePlot_' num2str(num_tracker) ...
'alg_' plot_type '.mat'];
% evaluate tracker performance
if ~exist(dataName, 'file')
eval_tracker(sequences, trackers, eval_type, name_tracker_all, ...
tmp_mat_path, path_anno, rp_all, norm_dst);
end
% plot performance
load(dataName);
num_tracker = size(ave_success_rate_plot, 1);
if rank_num > num_tracker || rank_num <0
rank_num = num_tracker;
end
fig_name= [plot_type '_' ranking_type];
idx_seq_set = 1:numel(sequences);
% draw and save the overall performance plot
plot_draw_save(num_tracker, plot_style, ave_success_rate_plot, ...
idx_seq_set, rank_num, ranking_type, rank_idx, ...
name_tracker_all, threshold_set, title_name, ...
x_label_name, y_label_name, fig_name, save_fig_path, ...
save_fig_suf);
% draw and save the per-attribute performance plot
att_trld = 0;
att_num = size(att_all, 2);
for att_idx = 1:att_num % for each attribute
idx_seq_set = find(att_all(:, att_idx) > att_trld);
if length(idx_seq_set) < 2
continue;
end
disp([att_name{att_idx} ' ' num2str(length(idx_seq_set))]);
fig_name = [att_fig_name{att_idx} '_' plot_type '_' ranking_type];
title_name = ['Plots of ' eval_type ': ' att_name{att_idx} ' (' num2str(length(idx_seq_set)) ')'];
switch metric_type
case 'overlap'
title_name = ['Success plots of ' eval_type ' - ' att_name{att_idx} ' (' num2str(length(idx_seq_set)) ')'];
case 'error'
title_name = ['Precision plots of ' eval_type ' - ' att_name{att_idx} ' (' num2str(length(idx_seq_set)) ')'];
if norm_dst
title_name = ['Normalized ' title_name];
end
end
plot_draw_save(num_tracker, plot_style, ave_success_rate_plot, ...
idx_seq_set, rank_num, ranking_type, rank_idx, ...
name_tracker_all, threshold_set, title_name, ...
x_label_name, y_label_name, fig_name, save_fig_path, ...
save_fig_suf);
end
end