main.java

import org.tensorflow.Graph;
import org.tensorflow.Session;
import org.tensorflow.TensorFlow;
import org.tensorflow.framework.GraphDef;
import org.tensorflow.framework.TensorProto;
import org.tensorflow.framework.TensorShapeProto;

import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Paths;

public class PigeonSpeciesDetector {

    private static byte[] readAllBytesOrExit(String path) {
        try {
            return Files.readAllBytes(Paths.get(path));
        } catch (IOException e) {
            System.err.println("Failed to read [" + path + "]: " + e.getMessage());
            System.exit(1);
            return null;
        }
    }

    private static GraphDef loadGraphDef(String modelPath) {
        byte[] graphDef = readAllBytesOrExit(modelPath);
        try {
            return GraphDef.parseFrom(graphDef);
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }

    public static void main(String[] args) {
        String modelPath = "path/to/your/model.pb";
        GraphDef graphDef = loadGraphDef(modelPath);
        
        try (Graph graph = new Graph()) {
            graph.importGraphDef(graphDef.toByteArray());
            try (Session session = new Session(graph)) {
                // The model is now loaded and ready to be used for predictions.
                // Continue to the next steps to preprocess image data and perform predictions.
            }
        }
    }
}