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Error: can't read model: number of return field is not correct
Usage: [predicted_label, accuracy, decision_values/prob_estimates] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options')
       [predicted_label] = svmpredict(testing_label_vector, testing_instance_matrix, model, 'libsvm_options')
Parameters:
  model: SVM model structure from svmtrain.
  libsvm_options:
    -b probability_estimates: whether to predict probability estimates, 0 or 1 (default 0); one-class SVM not supported yet
    -q : quiet mode (no outputs)
Returns:
  predicted_label: SVM prediction output vector.
  accuracy: a vector with accuracy, mean squared error, squared correlation coefficient.
  prob_estimates: If selected, probability estimate vector.
Unable to perform assignment because the indices on the left side are not compatible with the size of the right side.

Error in divine_overall_quality (line 18)
    [q(i) reg_acc(i,:)] = svmpredict(1,x_curr,model_reg{i});

Error in divine (line 91)
q = divine_overall_quality(f);

Error in test (line 5)
quality = divine(image)