Unsuccessful experimentation with importing a model from Tensorflow in Java

.classpath

@@ -1,9 +1,14 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <classpath>
-	<classpathentry kind="src" path="src"/>
+	<classpathentry kind="src" output="target/classes" path="src">
+		<attributes>
+			<attribute name="optional" value="true"/>
+			<attribute name="maven.pomderived" value="true"/>
+		</attributes>
+	</classpathentry>
 	<classpathentry kind="con" path="org.eclipse.jdt.launching.JRE_CONTAINER/org.eclipse.jdt.internal.debug.ui.launcher.StandardVMType/JavaSE-9">
 		<attributes>
-			<attribute name="module" value="true"/>
+			<attribute name="maven.pomderived" value="true"/>
 		</attributes>
 	</classpathentry>
 	<classpathentry kind="lib" path="/home/dpapp/lib/Jama-1.0.3.jar" sourcepath="/home/dpapp/lib/Jama">
@@ -13,10 +18,19 @@
 	</classpathentry>
 	<classpathentry kind="con" path="org.eclipse.jdt.USER_LIBRARY/OpenCV-3.4.0">
 		<attributes>
-			<attribute name="org.eclipse.jdt.launching.CLASSPATH_ATTR_LIBRARY_PATH_ENTRY" value="/home/dpapp/opencv-3.4.0/build/lib"/>
+			<attribute name="module" value="true"/>
+		</attributes>
+	</classpathentry>
+	<classpathentry kind="con" path="org.eclipse.jdt.USER_LIBRARY/TensorFlow">
+		<attributes>
 			<attribute name="module" value="true"/>
 		</attributes>
 	</classpathentry>
 	<classpathentry kind="con" path="org.eclipse.jdt.junit.JUNIT_CONTAINER/5"/>
-	<classpathentry kind="output" path="bin"/>
+	<classpathentry kind="con" path="org.eclipse.m2e.MAVEN2_CLASSPATH_CONTAINER">
+		<attributes>
+			<attribute name="maven.pomderived" value="true"/>
+		</attributes>
+	</classpathentry>
+	<classpathentry kind="output" path="target/classes"/>
 </classpath>

.project

@@ -10,8 +10,14 @@
 			<arguments>
 			</arguments>
 		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.m2e.core.maven2Builder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
 	</buildSpec>
 	<natures>
+		<nature>org.eclipse.m2e.core.maven2Nature</nature>
 		<nature>org.eclipse.jdt.core.javanature</nature>
 	</natures>
 </projectDescription>

.settings/org.eclipse.jdt.core.prefs

@@ -9,4 +9,5 @@ org.eclipse.jdt.core.compiler.debug.localVariable=generate
 org.eclipse.jdt.core.compiler.debug.sourceFile=generate
 org.eclipse.jdt.core.compiler.problem.assertIdentifier=error
 org.eclipse.jdt.core.compiler.problem.enumIdentifier=error
+org.eclipse.jdt.core.compiler.problem.forbiddenReference=warning
 org.eclipse.jdt.core.compiler.source=9

.settings/org.eclipse.m2e.core.prefs

@@ -0,0 +1,4 @@
+activeProfiles=
+eclipse.preferences.version=1
+resolveWorkspaceProjects=true
+version=1

hs_err_pid7672.log

@@ -0,0 +1,33 @@
+#
+# A fatal error has been detected by the Java Runtime Environment:
+#
+#  SIGSEGV (0xb) at pc=0x00007f70bef27fb2, pid=7672, tid=29649
+#
+# JRE version: Java(TM) SE Runtime Environment (9.0+11) (build 9.0.4+11)
+# Java VM: Java HotSpot(TM) 64-Bit Server VM (9.0.4+11, mixed mode, tiered, compressed oops, g1 gc, linux-amd64)
+# Problematic frame:
+# C  [libjimage.so+0x3fb2]  ImageStrings::find(Endian*, char const*, int*, unsigned int)+0x42
+#
+# Core dump will be written. Default location: Core dumps may be processed with "/usr/share/apport/apport %p %s %c %d %P" (or dumping to /home/dpapp/eclipse-workspace/RunescapeAI/core.7672)
+#
+# If you would like to submit a bug report, please visit:
+#   http://bugreport.java.com/bugreport/crash.jsp
+#
+
+---------------  S U M M A R Y ------------
+
+Command Line: -agentlib:jdwp=transport=dt_socket,suspend=y,address=localhost:36189 -Djava.library.path=/home/dpapp/opencv-3.4.0/build/lib -Dfile.encoding=UTF-8 ObjectDetector
+
+Host: Intel(R) Core(TM) i7-5600U CPU @ 2.60GHz, 4 cores, 7G, Ubuntu 16.04.3 LTS
+Time: Thu Feb 15 22:10:22 2018 EST elapsed time: 55 seconds (0d 0h 0m 55s)
+
+---------------  T H R E A D  ---------------
+
+Current thread (0x00007f7058001000):  JavaThread "SIGTERM handler" daemon [_thread_in_vm, id=29649, stack(0x00007f7072acd000,0x00007f7072bce000)]
+
+Stack: [0x00007f7072acd000,0x00007f7072bce000],  sp=0x00007f7072bcb160,  free space=1016k
+Native frames: (J=compiled Java code, A=aot compiled Java code, j=interpreted, Vv=VM code, C=native code)
+C  [libjimage.so+0x3fb2]  ImageStrings::find(Endian*, char const*, int*, unsigned int)+0x42
+C  [libjimage.so+0x4b8c]  ImageFileReader::find_location_index(char const*, unsigned long long*) const+0x3c
+C  [libjimage.so+0x505a]  JIMAGE_FindResource+0xba
+V  [libjvm.so+0x5aae8e]

pom.xml

@@ -0,0 +1,25 @@
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+  <modelVersion>4.0.0</modelVersion>
+  <groupId>RunescapeAI</groupId>
+  <artifactId>RunescapeAI</artifactId>
+  <version>0.0.1-SNAPSHOT</version>
+  <build>
+    <sourceDirectory>src</sourceDirectory>
+    <plugins>
+      <plugin>
+        <artifactId>maven-compiler-plugin</artifactId>
+        <version>3.7.0</version>
+        <configuration>
+          <release>9</release>
+        </configuration>
+      </plugin>
+    </plugins>
+  </build>
+  <dependencies>
+       <dependency>
+         <groupId>org.tensorflow</groupId>
+         <artifactId>tensorflow</artifactId>
+         <version>1.5.0-rc0</version>
+       </dependency>
+     </dependencies>
+</project>

src/HelloTF.java

@@ -0,0 +1,57 @@
+import java.io.IOException;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+
+import org.tensorflow.Graph;
+import org.tensorflow.Session;
+import org.tensorflow.Tensor;
+import org.tensorflow.TensorFlow;
+
+public class HelloTF {
+	
+	public static void test() throws IOException {
+		//Dataset
+		float[] x = new float[]{1};
+		float[] y = x;
+			
+		//Setting parameters
+		String modelDir = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/results/checkpoint_23826";
+				
+			//Reading the graph
+		byte[] graphDef = Files.readAllBytes(Paths.get(modelDir, "frozen_graph_inference.pb"));
+			
+		Tensor input = Tensor.create(0.5f);
+				
+		float results = -99999f;
+		try (Graph g = new Graph()) {
+			g.importGraphDef(graphDef);
+			try (Session s = new Session(g); 
+			    Tensor result = s.runner().feed("input", input).fetch("output").run().get(0)) {	
+				results = result.floatValue();
+			}
+		}
+		System.out.println("Expected: " + x + "\tPredicted: " + results);	
+	}
+	
+  public static void main(String[] args) throws Exception {
+	  System.out.println("Running helloTF");
+    try (Graph g = new Graph()) {
+      final String value = "Hello from " + TensorFlow.version();
+
+      // Construct the computation graph with a single operation, a constant
+      // named "MyConst" with a value "value".
+      try (Tensor t = Tensor.create(value.getBytes("UTF-8"))) {
+        // The Java API doesn't yet include convenience functions for adding operations.
+        g.opBuilder("Const", "MyConst").setAttr("dtype", t.dataType()).setAttr("value", t).build();
+      }
+
+      // Execute the "MyConst" operation in a Session.
+      try (Session s = new Session(g);
+           Tensor output = s.runner().fetch("MyConst").run().get(0)) {
+        System.out.println(new String(output.bytesValue(), "UTF-8"));
+      }
+    }
+    
+    test();
+  }
+}

src/ObjectDetector.java

@@ -1,22 +1,19 @@
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
 import static org.junit.Assert.assertNotNull;
-import static org.junit.Assert.assertTrue;
 
-import java.awt.FlowLayout;
-import java.awt.Image;
-import java.awt.image.BufferedImage;
-import java.awt.image.DataBufferByte;
+import java.awt.List;
 import java.io.File;
-
-import javax.swing.ImageIcon;
-import javax.swing.JFrame;
-import javax.swing.JLabel;
+import java.util.ArrayList;
 
 import org.opencv.core.Core;
 import org.opencv.core.CvType;
 import org.opencv.core.Mat;
 import org.opencv.core.Scalar;
 import org.opencv.core.Size;
+import org.opencv.dnn.DictValue;
 import org.opencv.dnn.Dnn;
+import org.opencv.dnn.Layer;
 import org.opencv.dnn.Net;
 import org.opencv.imgcodecs.Imgcodecs;
 import org.opencv.imgproc.Imgproc;
@@ -29,93 +26,82 @@ public class ObjectDetector {
 	
 	Net net;
 	
-	public ObjectDetector() {
+	public ObjectDetector() throws Exception {
 		this.inputImagePath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/test_images/ironOre_test_9.jpg";
-		this.inputModelPath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/training/ssd_mobilenet_v1_coco_2017_11_17/frozen_inference_graph.pb";
-		//this.inputModelPath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/results/checkpoint_23826/frozen_inference_graph.pb";
-		this.inputModelArgumentsPath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/training/ssd_mobilenet_v1_coco_2017_11_17/ssd_mobilenet_v1_coco.pbtxt";
-		//this.inputModelArgumentsPath = "/home/dpapp/eclipse-workspace/RunescapeAI/TensorFlow/object-detection.pbtxt";
+		this.inputModelPath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/results/checkpoint_23826/frozen_graph_inference.pb";
+		this.inputModelArgumentsPath = "/home/dpapp/tensorflow-1.5.0/models/raccoon_dataset/generated_graph.pbtxt";
+		
+		File f = new File(inputImagePath);
+		if(!f.exists()) throw new Exception("Test image is missing: " + inputImagePath);
+		File f1 = new File(inputModelPath);
+		if(!f1.exists()) throw new Exception("Test image is missing: " + inputModelPath);
+		File f2 = new File(inputModelArgumentsPath);
+		if(!f2.exists()) throw new Exception("Test image is missing: " + inputModelArgumentsPath);
+		
 		net = Dnn.readNetFromTensorflow(inputModelPath, inputModelArgumentsPath);
 	}
 	
+	public void testGetLayerTypes() {
+        ArrayList<String> layertypes = new ArrayList();
+        net.getLayerTypes(layertypes);
+
+        assertFalse("No layer types returned!", layertypes.isEmpty());
+    }
+
+    public void testGetLayer() {
+        ArrayList<String> layernames = (ArrayList<String>) net.getLayerNames();
+
+        assertFalse("Test net returned no layers!", layernames.isEmpty());
+
+        String testLayerName = layernames.get(0);
+
+        DictValue layerId = new DictValue(testLayerName);
+
+        assertEquals("DictValue did not return the string, which was used in constructor!", testLayerName, layerId.getStringValue());
+
+        Layer layer = net.getLayer(layerId);
+
+        assertEquals("Layer name does not match the expected value!", testLayerName, layer.get_name());
+    }
+	
 	public void testImage() throws Exception {
-		File f = new File(inputImagePath);
-		if(!f.exists()) throw new Exception("Test image is missing: " + inputImagePath);
-		
 		Mat rawImage = Imgcodecs.imread(inputImagePath);
-		Imgproc.cvtColor(rawImage, rawImage, Imgproc.COLOR_BGR2GRAY);
-		System.out.println(rawImage.width() + "x" +rawImage.height() + ", dim: " + rawImage.dims() + ", channels: " + rawImage.channels());
-        
+		Mat grayImage = new Mat();
+		Imgproc.cvtColor(rawImage, grayImage, Imgproc.COLOR_RGB2GRAY);
+		assertNotNull("Loading image from file failed!", rawImage);
+		
+		
 		Mat image = new Mat();
-        Imgproc.resize(rawImage, image, new Size(224,224));
-        System.out.println(image.width() + "x" + image.height() + ", dim: " + image.dims() + ", channels: " + image.channels());
+		
+        Imgproc.resize(grayImage, image, new Size(224, 224));
 
         Mat inputBlob = Dnn.blobFromImage(image);
+        
         assertNotNull("Converting image to blob failed!", inputBlob);
-        System.out.println(inputBlob.width() + "x" + inputBlob.height() + ", " + ", dim: " + inputBlob.dims() + ", channels: " + inputBlob.channels());
 
         Mat inputBlobP = new Mat();
+        
         Core.subtract(inputBlob, new Scalar(117.0), inputBlobP);
-        System.out.println(inputBlobP.width() + "x" + inputBlobP.height()+ ", " + ", dim: " + inputBlobP.dims() + ", channels: " + inputBlobP.channels());
-
+        
   
         net.setInput(inputBlobP);
 
         Mat result = net.forward();
 
         assertNotNull("Net returned no result!", result);
-
-       // BufferedImage convertedImage = Mat2BufferedImage(result);
-        //displayImage(convertedImage);
-        //Core.MinMaxLocResult minmax = Core.minMaxLoc(result.reshape(1, 1));
-
-        //assertTrue("No image recognized!", minmax.maxVal > 0.9);
-
 	}
-	/*
-    public void displayImage(Image img2)
-{   
-    //BufferedImage img=ImageIO.read(new File("/HelloOpenCV/lena.png"));
-    ImageIcon icon=new ImageIcon(img2);
-    JFrame frame=new JFrame();
-    frame.setLayout(new FlowLayout());        
-    frame.setSize(img2.getWidth(null)+50, img2.getHeight(null)+50);     
-    JLabel lbl=new JLabel();
-    lbl.setIcon(icon);
-    frame.add(lbl);
-    frame.setVisible(true);
-    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
 
-}
-	
-	public BufferedImage Mat2BufferedImage(Mat m){
-		// source: http://answers.opencv.org/question/10344/opencv-java-load-image-to-gui/
-		// Fastest code
-		// The output can be assigned either to a BufferedImage or to an Image
-
-		    int type = BufferedImage.TYPE_BYTE_GRAY;
-		    if ( m.channels() > 1 ) {
-		        type = BufferedImage.TYPE_3BYTE_BGR;
-		    }
-		    int bufferSize = m.channels()*m.cols()*m.rows();
-		    byte [] b = new byte[bufferSize];
-		    m.get(0,0,b); // get all the pixels
-		    BufferedImage image = new BufferedImage(m.cols(),m.rows(), type);
-		    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
-		    System.arraycopy(b, 0, targetPixels, 0, b.length);  
-		    return image;
-	}
-*/
 	
    public static void main( String[] args ) throws Exception {
       System.out.println("Reading model from TensorFlow...");
       
-      
       System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
-      //Mat mat = Mat.eye(3, 3, CvType.CV_8UC1);
-      //System.out.println("mat = " + mat.dump());
       
       ObjectDetector objectDetector = new ObjectDetector();
+      
+      
+      objectDetector.testGetLayerTypes();
+      objectDetector.testGetLayer();
       objectDetector.testImage();
       
       System.out.println("Done...");