DJL blockrunner example

Example.java

package ai.djl.examples;

import ai.djl.inference.Predictor;
import ai.djl.modality.Classifications;
import ai.djl.modality.cv.*;
import ai.djl.modality.cv.transform.*;
import ai.djl.modality.cv.translator.*;
import ai.djl.repository.zoo.*;

public class Example {

    public static void main(String[] args) throws Exception {
        String modelUrl = "djl://ai.djl.mxnet/resnet/0.0.1/resnet18_v1";

        // String modelUrl = "djl://ai.djl.pytorch/resnet/0.0.1/traced_resnet18";
        // String modelUrl = "djl://ai.djl.tensorflow/resnet/0.0.1/resnet50";

        Criteria<Image, Classifications> criteria = Criteria.builder()
                .setTypes(Image.class, Classifications.class)
                .optModelUrls(modelUrl)
                .optTranslator(ImageClassificationTranslator.builder()
                        .addTransform(new Resize(224, 224))
                        .addTransform(new ToTensor())
                        .optApplySoftmax(true).build())
                .build();
        ZooModel<Image, Classifications> model = criteria.loadModel();
        Predictor<Image, Classifications> predictor = model.newPredictor();
        String imageURL =
                "https://raw.githubusercontent.com/awslabs/djl/master/examples/src/test/resources/kitten.jpg";
        Image image = ImageFactory.getInstance().fromUrl(imageURL);
        Classifications output = predictor.predict(image);
        System.out.println(output);
    }
}