Merge branch 4.x

modules/dnn/test/test_backends.cpp

@@ -47,7 +47,10 @@ public:
         net.setInput(inp);
         net.setPreferableBackend(backend);
         net.setPreferableTarget(target);
-        net.enableWinograd(useWinograd);
+
+        if (target == DNN_TARGET_CPU_FP16)
+            net.enableWinograd(false);
+
         Mat out = net.forward(outputLayer).clone();
 
         check(outDefault, out, outputLayer, l1, lInf, detectionConfThresh, "First run");
@@ -105,7 +108,7 @@ TEST_P(DNNTestNetwork, ResNet_50)
 {
     applyTestTag(
         (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
-        CV_TEST_TAG_DEBUG_LONG
+        CV_TEST_TAG_DEBUG_VERYLONG
     );
 
     processNet("dnn/ResNet-50-model.caffemodel", "dnn/ResNet-50-deploy.prototxt",
@@ -278,8 +281,11 @@ TEST_P(DNNTestNetwork, MobileNet_SSD_v2_TensorFlow)
 
 TEST_P(DNNTestNetwork, SSD_VGG16)
 {
-    applyTestTag(CV_TEST_TAG_LONG, (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_1GB : CV_TEST_TAG_MEMORY_2GB),
-                 CV_TEST_TAG_DEBUG_VERYLONG);
+    applyTestTag(
+        CV_TEST_TAG_MEMORY_2GB,
+        CV_TEST_TAG_LONG,
+        CV_TEST_TAG_DEBUG_VERYLONG
+    );
 
     Mat sample = imread(findDataFile("dnn/street.png"));
     Mat inp = blobFromImage(sample, 1.0f, Size(300, 300), Scalar(), false);
@@ -373,7 +379,7 @@ TEST_P(DNNTestNetwork, Inception_v2_SSD_TensorFlow)
 {
     applyTestTag(
         (target == DNN_TARGET_CPU ? CV_TEST_TAG_MEMORY_512MB : CV_TEST_TAG_MEMORY_1GB),
-        CV_TEST_TAG_DEBUG_LONG
+        CV_TEST_TAG_DEBUG_VERYLONG
     );
 #if defined(INF_ENGINE_RELEASE)
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target == DNN_TARGET_MYRIAD