Examples of org.neuroph.util.plugins.LabelsPlugin

org.neuroph.util.plugins.LabelsPlugin
Provides labeling of all neural network components @author Zoran Sevarac @deprecated

   * Creates an instance of empty neural network.
   */
  public NeuralNetwork() {
    this.layers = new ArrayList<Layer>();
    this.plugins = new HashMap<Class, PluginBase>();
    this.addPlugin(new LabelsPlugin());  
  }

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  @Override
  public String toString() {
    if (plugins.containsKey("LabelsPlugin")) {
      LabelsPlugin labelsPlugin = ((LabelsPlugin)this.getPlugin(LabelsPlugin.class));
      String label = labelsPlugin.getLabel(this);
      if (label!=null) return label;
    }
    
    return super.toString();
  }

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   * recogition result as value
   * 
   * @return image recognition result
   */
  public HashMap<String, Double> getOutput() {
    LabelsPlugin labelsPlugin = (LabelsPlugin) this.getParentNetwork()
        .getPlugin(LabelsPlugin.class);
    HashMap<String, Double> networkOutput = new HashMap<String, Double>();


    for (Neuron neuron : this.getParentNetwork().getOutputNeurons()) {
      String neuronLabel = labelsPlugin.getLabel(neuron);
      networkOutput.put(neuronLabel, neuron.getOutput());
    }


    return networkOutput;
  }

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    for (Neuron neuron : this.getParentNetwork().getOutputNeurons()) {
      if (neuron.getOutput() > maxNeuron.getOutput())
        maxNeuron = neuron;
    }


    LabelsPlugin labels = (LabelsPlugin) this.getParentNetwork().getPlugin(
        LabelsPlugin.class);


    maxOutput.put(labels.getLabel(maxNeuron), maxNeuron);


    for (Neuron neuron : this.getParentNetwork().getOutputNeurons()) {
      if (neuron.getOutput() == maxNeuron.getOutput()) {
        maxOutput.put(labels.getLabel(neuron), neuron);
      }
    }


    return maxOutput;
  }

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        /**
         * Adds neural network
         * @param neuralNet
         */
  public void addNetwork(NeuralNetwork neuralNet) {
    LabelsPlugin labelsPlugin = ((LabelsPlugin)neuralNet.getPlugin(LabelsPlugin.class));
    String label = labelsPlugin.getLabel(neuralNet);
    neuralNets.put(label, neuralNet);
  }

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         * @param neuralNetwork neural network
         * @param imageLabels image labels
         */
  private static void assignLabelsToOutputNeurons(NeuralNetwork neuralNetwork, List<String> imageLabels) {
    List<Neuron> outputNeurons = neuralNetwork.getOutputNeurons();
    LabelsPlugin labelsPlugin = (LabelsPlugin) neuralNetwork.getPlugin(LabelsPlugin.class);
    
    for(int i=0; i<outputNeurons.size(); i++) {
      Neuron neuron = outputNeurons.get(i);
      String label = imageLabels.get(i);
      neuron.setLabel(label);

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Related Classes of org.neuroph.util.plugins.LabelsPlugin

org.neuroph.contrib.imgrec.ImageRecognitionHelper

org.neuroph.contrib.imgrec.ImageRecognitionPlugin

org.neuroph.core.NeuralNetwork

org.neuroph.nnet.ModularNetwork

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