added link to h5 file

Author: epnev

.gitignore

@@ -109,3 +109,5 @@ $RECYCLE.BIN/
 
 # End of https://www.gitignore.io/api/git,macos,linux,matlab,windows
 demo_script_old.m
+
+cnn_model.h5

utilities/cnn_classifier.m

@@ -12,7 +12,8 @@
 %   INPUTS:
 %   A:              2d matrix
 %   dims:           vector with dimensions of the FOV
-%   classifier:     path to pretrained classifier model
+%   classifier:     path to pretrained classifier model (downloaded if it
+%                       doesn't exist)
 %   thr:            threshold for accepting component (default: 0.2)
 %
 %   note: The function requires Matlab version 2017b (9.3) or later, Neural
@@ -24,7 +25,7 @@
 
 if verLessThan('matlab','9.3') || verLessThan('nnet','11.0') || isempty(which('importKerasNetwork'))
     error(strcat('The function requires Matlab version 2017b (9.3) or later, Neural\n', ...
-        'Networks toolbox version 2017b (11.0) or lvalater, the Neural Networks ', ...
+        'Networks toolbox version 2017b (11.0) or later, the Neural Networks ', ...
         'Toolbox(TM) Importer for TensorFlow-Keras Models.'))
 end
 
@@ -34,6 +35,12 @@
 A = A/spdiags(sqrt(sum(A.^2,1))'+eps,0,K,K);      % normalize to sum 1 for each compoennt
 A_com = extract_patch(A,dims,[50,50]);  % extract 50 x 50 patches
 
+if ~exist(classifier,'file')
+    url = 'https://www.dropbox.com/s/1csymylbne7yyt0/cnn_model.h5?dl=1';
+    classifier = 'cnn_model.h5';
+    outfilename = websave(classifier,url);
+end
+
 net_classifier = importKerasNetwork(classifier);
 out = predict(net_classifier,double(A_com));
 value = out(:,2);