vendor: OpenCV 5.0.0 snapshot at 40738fb16ceddb5fb3fea747585f7ce6abb0605b

2026-08-22 00:10:33 +08:00
commit f7f077da11
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+package org.opencv.test.dnn;
+
+import java.io.File;
+import java.util.ArrayList;
+import java.util.List;
+import org.opencv.core.Core;
+import org.opencv.core.CvType;
+import org.opencv.core.Mat;
+import org.opencv.dnn.Dnn;
+import org.opencv.dnn.Net;
+import org.opencv.test.OpenCVTestCase;
+
+public class DnnForwardAndRetrieve 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";
+
+    private String modelFileName = "";
+
+    @Override
+    protected void setUp() throws Exception {
+        super.setUp();
+
+        String dnnTestDataPath = System.getenv(ENV_OPENCV_DNN_TEST_DATA_PATH);
+        String generalTestDataPath = System.getenv(ENV_OPENCV_TEST_DATA_PATH);
+
+        File model = null;
+
+        if (generalTestDataPath != null) {
+            model = new File(generalTestDataPath, "dnn/onnx/models/split_0.onnx");
+        }
+
+        if ((model == null || !model.isFile()) && dnnTestDataPath != null) {
+            model = new File(dnnTestDataPath, "dnn/onnx/models/split_0.onnx");
+        }
+
+        if (model == null || !model.isFile()) {
+            isTestCaseEnabled = false;
+            return;
+        }
+
+        modelFileName = model.getAbsolutePath();
+    }
+
+    public void testForwardAndRetrieve()
+    {
+        // Verifies forwardAndRetrieve nested list marshalling using a small ONNX model instead of the removed Caffe importer.
+        Net net = Dnn.readNetFromONNX(modelFileName, Dnn.ENGINE_CLASSIC);
+        net.setPreferableBackend(Dnn.DNN_BACKEND_OPENCV);
+
+        // split_0.onnx declares a single 4D input named "image" of shape [1, 3, 2, 2].
+        Mat inp = new Mat(new int[]{1, 3, 2, 2}, CvType.CV_32F);
+        Core.randu(inp, -1, 1);
+        net.setInput(inp);
+
+        List<String> outNames = net.getUnconnectedOutLayersNames();
+        assertFalse("Model has no output layers", outNames.isEmpty());
+
+        // Forward and retrieve every output blob of the requested layers.
+        List<List<Mat>> outBlobs = new ArrayList<>();
+        net.forwardAndRetrieve(outBlobs, outNames);
+
+        // One entry per requested layer name, each holding at least one valid blob.
+        assertEquals(outNames.size(), outBlobs.size());
+        for (List<Mat> blobs : outBlobs) {
+            assertFalse(blobs.isEmpty());
+            for (Mat blob : blobs)
+                assertFalse(blob.empty());
+        }
+    }
+}