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More work on sparse selection

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Tadas Baltrusaitis
2017-02-07 09:09:07 -05:00
parent b7397374ad
commit 2cd1041504
2 changed files with 32 additions and 27 deletions
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15
matlab_version/experiments_in_the_wild/Script_DCLM_general_sparse.m
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@@ -77,13 +77,18 @@ to_rem_from = [1,2,3,6,7];
% Median based
%to_rem_init = [68;56;4;34;29;39;19;62;59;18;54;14;11;61;30;42;48;41;52;51;44;33;9;63;2;16;58;25;28;67];%;23;35;26;7;];
% Mean based
to_rem_init = [4;68;58;62;51;6;59;20;63;53;25;56;14;64;9;67;2;33;11;37;17;52;26;60;28;34;44;38;29;8;21;15;12;18];
%to_rem_2 = [2;31;66;57;35;41;68;60;52;40;29;64;59;32;6;48;38;53;50;20;27;25;21;12];
to_rem_2 = [6;62;50;25;59;20;17;66;64;57;39;14;12;68;41;45;34;43;30;60];
patches(1).visibilities(to_rem_from, to_rem_init) = 0;
to_rem_1 = [4;68;58;62;51;6;59;20;63;53;25;56;14;64;9;67;2;33;11;37;17;52;26;60;28;34;44;38;29;8;21;15;12;18];
to_rem_2 = [6;62;50;25;59;20;17;66;64;57;39;14;12;68;41;45;34;43;30;60;4;29;1;61;47;9;65;52;37;22;15;35;54;58];
to_rem_3 = [66;62;54;60;38;5;30;13;28;59;44];
patches(1).visibilities(to_rem_from, to_rem_1) = 0;
patches(2).visibilities(to_rem_from, to_rem_2) = 0;
% patches(3).visibilities(to_rem_from, to_rem_init) = 0;
patches(3).visibilities(to_rem_from, to_rem_3) = 0;
% If the third scale the same as first, does it work?
% patches(3).visibilities(to_rem_from, to_rem_3) = 0;
% patches(4).visibilities(to_rem_from, to_rem_2) = 0;
for i=1:numel(images)

44
matlab_version/experiments_in_the_wild/Script_DCLM_general_vis_select.m
View File

@@ -10,14 +10,14 @@ addpath('../models/');
if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
root_test_data = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];
else
root_test_data = 'D:/Dropbox/Dropbox/AAM/test data/';
root_test_data = 'C:\Users\tbaltrus\Documents\DATA/300-W/';
end
[images, detections, labels] = Collect_wild_imgs_train(root_test_data);
% Only use a subset of images as otherwise it will take a bit too long
rng(0);
subset = randperm(numel(images), 500);
subset = randperm(numel(images), 750);
images = images(subset);
detections = detections(subset,:);
labels = labels(subset,:,:);
@@ -55,7 +55,7 @@ clmParams.fTol = 0.01;
clmParams.useMultiScale = true;
clmParams.use_multi_modal = 1;
clmParams.multi_modal_types = patches(1).multi_modal_types;
clmParams.numPatchIters = 2;
clmParams.numPatchIters = 3;
num_points = numel(M)/3;
@@ -73,30 +73,34 @@ tic
experiments_full = struct;
best_so_far = [];
best_so_far = [66;62;54;60;38;5;30;13;28;59;44];
% The first patch removal
to_rem_init = [68;56;4;34;29;39;19;62;59;18;54;14;11;61;30;42;48;41;52;51;44;33;9;63;2;16;58;25;28;67;23;35;26;7;];
to_rem_init = [68;56;4;34;29;39;19;62;59;18;54;14;11;61;30;42;48;41;52;51;44;33;9;63;2;16;58;25;28;67;23;35;26;7;];
to_rem_1 = [4;68;58;62;51;6;59;20;63;53;25;56;14;64;9;67;2;33;11;37;17;52;26;60;28;34;44;38;29;8;21;15;12;18];
to_rem_2 = [6;62;50;25;59;20;17;66;64;57;39;14;12;68;41;45;34;43;30;60;4;29;1;61;47;9;65;52;37;22;15;35;54;58];
to_rem_from = [1,2,3,6,7];
patches(1).visibilities(to_rem_from,to_rem_init) = 0;
% patches(1).visibilities(to_rem_from,to_rem_init) = 0;
% A greedy method for removing visibilities
for to_rem = 1:30
for to_rem = 1:23
visibility_off = 1:1:68;
visibility_off = setdiff(visibility_off, best_so_far);
% Not ideal ones to turn off, but a much faster version
all_ids = 1:68;
visibility_off = setdiff(all_ids, best_so_far);
inds = randperm(numel(visibility_off), 20);
visibility_off = visibility_off(inds);
% for recording purposes
experiment.params = clmParams;
for w=visibility_off
patches(2).visibilities(to_rem_from,:) = 1;
patches(1).visibilities(to_rem_from,to_rem_1) = 0;
patches(2).visibilities(to_rem_from,to_rem_2) = 0;
patches(3).visibilities(to_rem_from,:) = 1;
to_rem_c = cat(1, best_so_far, w);
if(w > 0)
patches(2).visibilities(to_rem_from,to_rem_c) = 0;
patches(3).visibilities(to_rem_from,to_rem_c) = 0;
end
for i=1:numel(images)
@@ -197,14 +201,9 @@ for to_rem = 1:30
toc
experiment.errors_normed = compute_error(labels_all - 0.5, shapes_all);
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;
experiment.visibilities = patches(1).visibilities;
experiment.v_off = w;
experiment.err = median(experiment.errors_normed);
experiment.err = mean(experiment.errors_normed);
experiment.err_med = median(experiment.errors_normed);
% save the experiment
if(~exist('experiments', 'var'))
experiments = experiment;
@@ -220,8 +219,9 @@ for to_rem = 1:30
[~,id] = min(cat(1, experiments.err));
best_so_far = cat(1, best_so_far, experiments(id).v_off);
experiments_full(numel(best_so_far)).best_so_far = best_so_far;
experiments_full(numel(best_so_far)).error = experiments(id).err;
output_results = 'results/results_wild_dclm_vis_off_scale2.mat';
experiments_full(numel(best_so_far)).error_mean = experiments(id).err;
experiments_full(numel(best_so_far)).error_med = experiments(id).err_med;
output_results = 'results/results_wild_dclm_vis_off_scale3.mat';
save(output_results, 'experiments_full');
clear experiments
clear experiment