filt_get_s_layer.m

Standard model object recognition matlab code

function f = filt_get_S_layer (file_name, varargin)

% FUNCTION f = filt_get_S_layer (file_name, varargin)
%
% Load the learned/saved S-layer filters.  When loading the
% pre-learned features, we can either replicate the features to all
% scales or just grab the features as it is.  For the former case,
% varargin{1} specifies to how many scales to replicate.  Another
% varargin{2} specifies how many features to keep.
% varargin{3} specifies the shift values (because the shift defined
% in learn_file may be different from the definition in init_filter_def.m).

f = [];

load(file_name,'f');
scales = aux_get_filt_info(fieldnames(f));
f_size = getfield(f, ['size_s' num2str(scales(1))]);

if length(varargin) > 0
  
  num_scale_full = varargin{1}; % how many scales to replicate
  if length(varargin) > 1 
    num_features = varargin{2}; % how many features to keep
    if num_features > f_size(4) 
      disp(['Too many features requested in ' file_name]);
      disp(['We will take all the available features.']);
      num_features = f_size(4);
    end
  else 
    num_features = f_size(4);
  end
  f = aux_replicate_filters (f,num_scale_full,num_features);
end

if length(varargin)>2
  shifts = varargin{3};
  if length(shifts) ~= num_scale_full
    error('Not enough/Too few shift definitions.');
  end
  for i = 1:num_scale_full
    f = setfield(f, ['shift_s' num2str(i)], shifts(i));
  end
end