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Work on objectdetector

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davpapp 2018-02-15 12:37:38 -05:00
parent b246df6083
commit 237825c7c8
3 changed files with 868869 additions and 12 deletions
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TensorFlow/graph.pbtxt Normal file
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src/ObjectDetector.java
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@ -1,34 +1,113 @@
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.io.File;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
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.Dnn;
import org.opencv.dnn.Net;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
public class ObjectDetector {
String inputImagePath;
String inputModelPath;
String inputModelArgumentsPath;
Net net;
public ObjectDetector() {
this.inputImagePath = "/home/dpapp/tensorflow-1.5.0/models/raccoon-dataset/test_images/ironOre_test_9.jpg";
this.inputModelPath = "/home/dpapp/eclipse-workspace/RunescapeAI/TensorFlow/frozen_graph.pb";
String inputModelArgumentsPath = "/home/dpapp/eclipse-workspace/RunescapeAI/TensorFlow/ssd_mobilenet_v1_coco.pbtxt";
File inputModelFile = new File(inputModelPath);
String correctFilePath = inputModelFile.toString();
File inputFile = new File(inputModelArgumentsPath);
System.out.println(inputModelFile.toString());
System.out.println(inputFile.toString());
Net net = Dnn.readNetFromTensorflow(correctFilePath, inputModelArgumentsPath);
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";
net = Dnn.readNetFromTensorflow(inputModelPath, inputModelArgumentsPath);
}
public void setUp() {
//String
}
public void testImage() throws Exception {
File f = new File(inputImagePath);
if(!f.exists()) throw new Exception("Test image is missing: " + inputImagePath);
public static void main( String[] args ) {
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 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());
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...");
@ -37,6 +116,7 @@ public class ObjectDetector {
//System.out.println("mat = " + mat.dump());
ObjectDetector objectDetector = new ObjectDetector();
objectDetector.testImage();
System.out.println("Done...");
}