Example usage for org.deeplearning4j.zoo.util.imagenet ImageNetLabels ImageNetLabels

Introduction

In this page you can find the example usage for org.deeplearning4j.zoo.util.imagenet ImageNetLabels ImageNetLabels.

Prototype

public ImageNetLabels() throws IOException 

Source Link

Usage

From source file:org.apache.tika.dl.imagerec.DL4JVGG16Net.java

License:Apache License

@Override
public void initialize(Map<String, Param> params) throws TikaConfigException {
    try {/*from w w  w .  ja v a 2s  .  co  m*/
        if (serialize) {
            if (cacheDir.exists()) {
                model = ModelSerializer.restoreComputationGraph(cacheDir);
                LOG.info("Preprocessed Model Loaded from {}", cacheDir);
            } else {
                LOG.warn("Preprocessed Model doesn't exist at {}", cacheDir);
                cacheDir.getParentFile().mkdirs();
                ZooModel zooModel = VGG16.builder().build();
                model = (ComputationGraph) zooModel.initPretrained(PretrainedType.IMAGENET);
                LOG.info(
                        "Saving the Loaded model for future use. Saved models are more optimised to consume less resources.");
                ModelSerializer.writeModel(model, cacheDir, true);
            }
        } else {
            LOG.info("Weight graph model loaded via dl4j Helper functions");
            ZooModel zooModel = VGG16.builder().build();
            model = (ComputationGraph) zooModel.initPretrained(PretrainedType.IMAGENET);
        }
        imageNetLabels = new ImageNetLabels();
        available = true;
    } catch (Exception e) {
        available = false;
        LOG.warn(e.getMessage(), e);
        throw new TikaConfigException(e.getMessage(), e);
    }
}

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