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get_auxilary.m
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get_auxilary.m
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%% Get auxilary informations for the geometric constraints
%% Written by Ning Zhang
function feat_opts = get_auxilary(config)
for p = 1 : config.N_parts - 1
X{p} = [];
for k = 1 : length(config.impathtrain)
if config.train_box{p + 1}(k, 1) ~= -1
part_box = config.train_box{1}(k, :) - ...
[config.train_box{p + 1}(k, 1) config.train_box{p + 1}(k, 2) ...
config.train_box{p + 1}(k, 1) config.train_box{p + 1}(k, 2)];
w = config.train_box{p + 1}(k, 3) - config.train_box{p + 1}(k, 1);
h = config.train_box{p + 1}(k, 4) - config.train_box{p + 1}(k, 2);
part_box = part_box ./ [w h w h];
center_x = (part_box(2) + part_box(4))/2;
center_y = (part_box(1) + part_box(3))/2;
scale_x = (part_box(4) - part_box(2));
scale_y = (part_box(3) - part_box(1));
X{p} = [X{p}; center_x center_y scale_x scale_y];
else
X{p} = [X{p}; -1 -1 -1 -1];
end
end
try
prior{p} = gmdistribution.fit(X{p}, 4);
catch
try
prior{p} = gmdistribution.fit(X{p}, 2);
catch
prior{p} = gmdistribution.fit(X{p}, 1);
end
end
end
feat_opts.prior = prior;
feat_opts.X = X;
% load groundtruth bounding box fea
load('caches/finetune_train_fea_fc7')
feat_opts.train_fea = train_fea{1};
end