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108 lines
3.2 KiB
Java
108 lines
3.2 KiB
Java
package org.opencv.test.dnn;
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import java.io.File;
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import java.util.ArrayList;
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import java.util.List;
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import org.opencv.core.Core;
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import org.opencv.core.Mat;
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import org.opencv.core.Scalar;
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import org.opencv.core.Size;
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import org.opencv.dnn.DictValue;
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import org.opencv.dnn.Dnn;
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import org.opencv.dnn.Layer;
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import org.opencv.dnn.Net;
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import org.opencv.imgcodecs.Imgcodecs;
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import org.opencv.imgproc.Imgproc;
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import org.opencv.test.OpenCVTestCase;
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public class DnnTensorFlowTest extends OpenCVTestCase {
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private final static String ENV_OPENCV_DNN_TEST_DATA_PATH = "OPENCV_DNN_TEST_DATA_PATH";
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private final static String ENV_OPENCV_TEST_DATA_PATH = "OPENCV_TEST_DATA_PATH";
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String modelFileName = "";
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String sourceImageFile = "";
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Net net;
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@Override
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protected void setUp() throws Exception {
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super.setUp();
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String envDnnTestDataPath = System.getenv(ENV_OPENCV_DNN_TEST_DATA_PATH);
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if(envDnnTestDataPath == null){
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isTestCaseEnabled = false;
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return;
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}
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File dnnTestDataPath = new File(envDnnTestDataPath);
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modelFileName = new File(dnnTestDataPath, "dnn/tensorflow_inception_graph.pb").toString();
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String envTestDataPath = System.getenv(ENV_OPENCV_TEST_DATA_PATH);
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if(envTestDataPath == null) throw new Exception(ENV_OPENCV_TEST_DATA_PATH + " has to be defined!");
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File testDataPath = new File(envTestDataPath);
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File f = new File(testDataPath, "dnn/space_shuttle.jpg");
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sourceImageFile = f.toString();
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if(!f.exists()) throw new Exception("Test image is missing: " + sourceImageFile);
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net = Dnn.readNetFromTensorflow(modelFileName);
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}
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public void testGetLayerTypes() {
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List<String> layertypes = new ArrayList();
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net.getLayerTypes(layertypes);
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assertFalse("No layer types returned!", layertypes.isEmpty());
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}
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public void testGetLayer() {
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List<String> layernames = net.getLayerNames();
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assertFalse("Test net returned no layers!", layernames.isEmpty());
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String testLayerName = layernames.get(0);
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DictValue layerId = new DictValue(testLayerName);
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assertEquals("DictValue did not return the string, which was used in constructor!", testLayerName, layerId.getStringValue());
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Layer layer = net.getLayer(layerId);
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assertEquals("Layer name does not match the expected value!", testLayerName, layer.get_name());
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}
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public void testTestNetForward() {
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Mat rawImage = Imgcodecs.imread(sourceImageFile);
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assertNotNull("Loading image from file failed!", rawImage);
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Mat image = new Mat();
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Imgproc.resize(rawImage, image, new Size(224,224));
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Mat inputBlob = Dnn.blobFromImage(image);
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assertNotNull("Converting image to blob failed!", inputBlob);
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Mat inputBlobP = new Mat();
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Core.subtract(inputBlob, new Scalar(117.0), inputBlobP);
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net.setInput(inputBlobP, "input" );
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Mat result = net.forward();
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assertNotNull("Net returned no result!", result);
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Core.MinMaxLocResult minmax = Core.minMaxLoc(result.reshape(1, 1));
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assertTrue("No image recognized!", minmax.maxVal > 0.9);
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}
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}
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