Java examples for Machine Learning AI:openimaj
Image Clarifai Example via openimaj
import clarifai2.api.ClarifaiBuilder; import clarifai2.api.ClarifaiClient; import clarifai2.api.ClarifaiResponse; import clarifai2.dto.input.ClarifaiInput; import clarifai2.dto.input.image.ClarifaiImage; import clarifai2.dto.model.output.ClarifaiOutput; import clarifai2.dto.prediction.Concept; import okhttp3.OkHttpClient; import org.openimaj.image.DisplayUtilities; import org.openimaj.image.ImageUtilities; import org.openimaj.image.MBFImage; import org.openimaj.image.colour.RGBColour; import org.openimaj.image.typography.hershey.HersheyFont; import java.io.File; import java.io.IOException; import java.util.List; public class ClarifaiExample { public static void main(String[] args) throws IOException { final ClarifaiClient client = new ClarifaiBuilder( "key", "key").client( new OkHttpClient()) .buildSync(); //from w w w . java2s .c o m client.getToken(); ClarifaiResponse response = client .getDefaultModels() .generalModel() .predict() .withInputs( ClarifaiInput.forImage(ClarifaiImage.of(new File( "test.jpg")))).executeSync(); List<ClarifaiOutput<Concept>> predictions = (List<ClarifaiOutput<Concept>>) response .get(); if (predictions.isEmpty()) { System.out.println("No Predictions"); } else { MBFImage image = ImageUtilities.readMBF(new File("aaa.jpg")); int x = image.getWidth(); int y = image.getHeight(); List<Concept> data = predictions.get(0).data(); for (int i = 0; i < data.size(); i++) { System.out.println(data.get(i).name() + " - " + data.get(i).value()); image.drawText(data.get(i).name(), (int) Math.floor(Math.random() * x), (int) Math.floor(Math.random() * y), HersheyFont.ASTROLOGY, 20, RGBColour.RED); } DisplayUtilities.displayName(image, "videoFrames"); } } }