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% clear all
%
nmb_of_modules=40;
nmb_of_module_subsets=2;
channels_names={'R','G','B','RGg1','RBg1','GBg1','RGg2','RBg2','GBg2','RB','RG','GB','eRGB','BW','X','Y','Z'};
feature_RGB=[1 0 0
0 1 0
0 0 1
0.618 0.382 0
0.618 0 0.382
0 0.618 0.382
0.382 0.618 0
0.382 0 0.618
0 0.382 0.618
0.5 0.5 0
0.5 0 0.5
0 0.5 0.5
1/3 1/3 1/3
0.299 0.587 0.114
0.4125 0.3576 0.1804
0.2126 0.7152 0.0722
0.0193 0.1192 0.9502];
nmb_of_colors=length(channels_names);
patch=0;
nmb_of_labs_per_module=25;
cross_entropy=1;
param.image_size=[64,64];
param.downsizing=2;
param.x_trim=1;
param.y_trim=1;
param.compute_decimal_place=4;
param.dwnsz_on=1;
param.patch=patch;
param.nmb_of_modules=nmb_of_modules;
param.nmb_of_module_subsets=nmb_of_module_subsets;
param.cross_entropy=cross_entropy;
param.nmb_of_labs_per_module=nmb_of_labs_per_module;
param.channels_names=channels_names;
param.nmb_of_colors=nmb_of_colors;
param.feature_RGB=feature_RGB;
parfor module=1:nmb_of_modules
data_param=[];
for subset=1:nmb_of_module_subsets
reportname1 = sprintf('Transformed_IN1k_Data/Modularized_Data_for_SGD/modularized_data_patch_%d_module_%d_subset_%d_for_%d_labels_per_module.mat', ...
patch,module,subset,nmb_of_labs_per_module);
% save(reportname1,'data','labels','label_ids','label_table','data_param');
data_load=load(reportname1);
data_0=data_load.data;
output=fun_transform_data_rgbfeatures(data_0,param);
data=output.transformed_image;
data_param.mnsv=output.mnsv;
data_param.maxsv=output.maxsv;
data_param.ipvsz=output.ipvsz;
labels=data_load.labels;
label_ids=data_load.label_ids;
label_table=data_load.label_table;
out=fun_save_transformed_data(patch, module, subset,nmb_of_labs_per_module,data,labels,label_ids,label_table,data_param);
end
module
end
%% |