java: fix LIST_GET macro

modules/dnn/misc/java/test/DnnListRegressionTest.java

+package org.opencv.test.dnn;
+
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import org.opencv.core.Core;
+import org.opencv.core.Mat;
+import org.opencv.core.MatOfInt;
+import org.opencv.core.MatOfFloat;
+import org.opencv.core.MatOfByte;
+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;
+import org.opencv.test.OpenCVTestCase;
+
+/*
+*  regression test for #12324,
+*    testing various java.util.List invocations,
+*    which use the LIST_GET macro
+*/
+
+public class DnnListRegressionTest extends OpenCVTestCase {
+
+    private final static String ENV_OPENCV_DNN_TEST_DATA_PATH = "OPENCV_DNN_TEST_DATA_PATH";
+
+    private final static String ENV_OPENCV_TEST_DATA_PATH = "OPENCV_TEST_DATA_PATH";
+
+    String modelFileName = "";
+    String sourceImageFile = "";
+
+    Net net;
+
+    @Override
+    protected void setUp() throws Exception {
+        super.setUp();
+
+        String envDnnTestDataPath = System.getenv(ENV_OPENCV_DNN_TEST_DATA_PATH);
+
+        if(envDnnTestDataPath == null){
+            isTestCaseEnabled = false;
+            return;
+        }
+
+        File dnnTestDataPath = new File(envDnnTestDataPath);
+        modelFileName =  new File(dnnTestDataPath, "dnn/tensorflow_inception_graph.pb").toString();
+
+        String envTestDataPath = System.getenv(ENV_OPENCV_TEST_DATA_PATH);
+
+        if(envTestDataPath == null) throw new Exception(ENV_OPENCV_TEST_DATA_PATH + " has to be defined!");
+
+        File testDataPath = new File(envTestDataPath);
+
+        File f = new File(testDataPath, "dnn/grace_hopper_227.png");
+        sourceImageFile = f.toString();
+        if(!f.exists()) throw new Exception("Test image is missing: " + sourceImageFile);
+
+        net = Dnn.readNetFromTensorflow(modelFileName);
+
+        Mat image = Imgcodecs.imread(sourceImageFile);
+        assertNotNull("Loading image from file failed!", image);
+
+        Mat inputBlob = Dnn.blobFromImage(image, 1.0, new Size(224, 224), new Scalar(0), true, true);
+        assertNotNull("Converting image to blob failed!", inputBlob);
+
+        net.setInput(inputBlob, "input");
+    }
+
+    public void testSetInputsNames() {
+        List<String> inputs = new ArrayList();
+        inputs.add("input");
+        try {
+            net.setInputsNames(inputs);
+        } catch(Exception e) {
+            fail("Net setInputsNames failed: " + e.getMessage());
+        }
+    }
+
+    public void testForward() {
+        List<Mat> outs = new ArrayList();
+        List<String> outNames = new ArrayList();
+        outNames.add("softmax2");
+        try {
+            net.forward(outs,outNames);
+        } catch(Exception e) {
+            fail("Net forward failed: " + e.getMessage());
+        }
+    }
+
+    public void testGetMemoryConsumption() {
+        int layerId = 1;
+        List<MatOfInt> netInputShapes = new ArrayList();
+        netInputShapes.add(new MatOfInt(1, 3, 224, 224));
+        long[] weights=null;
+        long[] blobs=null;
+        try {
+            net.getMemoryConsumption(layerId, netInputShapes, weights, blobs);
+        } catch(Exception e) {
+            fail("Net getMemoryConsumption failed: " + e.getMessage());
+        }
+    }
+
+    public void testGetFLOPS() {
+        int layerId = 1;
+        List<MatOfInt> netInputShapes = new ArrayList();
+        netInputShapes.add(new MatOfInt(1, 3, 224, 224));
+        try {
+            net.getFLOPS(layerId, netInputShapes);
+        } catch(Exception e) {
+            fail("Net getFLOPS failed: " + e.getMessage());
+        }
+    }
+}

modules/java/generator/src/cpp/opencv_java.hpp

@@ -29,7 +29,7 @@
 
 #define ARRAYLIST(ENV) static_cast<jclass>(ENV->NewGlobalRef(ENV->FindClass("java/util/ArrayList")))
 #define LIST_ADD(ENV, LIST) ENV->GetMethodID(LIST, "add", "(Ljava/lang/Object;)Z")
-#define LIST_GET(ENV, LIST) ENV->GetMethodID(LIST, "get", "((I)Ljava/lang/Object;")
+#define LIST_GET(ENV, LIST) ENV->GetMethodID(LIST, "get", "(I)Ljava/lang/Object;")
 #define LIST_SIZE(ENV, LIST) ENV->GetMethodID(LIST, "size", "()I")
 #define LIST_CLEAR(ENV, LIST) ENV->GetMethodID(LIST, "clear", "()V")