dnn: increase async test timeout

modules/dnn/misc/python/test/test_dnn.py

@@ -169,7 +169,7 @@ class dnn_test(NewOpenCVTests):
             normAssertDetections(self, ref, out, 0.5, scoresDiff, iouDiff)
 
     def test_async(self):
-        timeout = 500*10**6  # in nanoseconds (500ms)
+        timeout = 10*1000*10**6  # in nanoseconds (10 sec)
         testdata_required = bool(os.environ.get('OPENCV_DNN_TEST_REQUIRE_TESTDATA', False))
         proto = self.find_dnn_file('dnn/layers/layer_convolution.prototxt', required=testdata_required)
         model = self.find_dnn_file('dnn/layers/layer_convolution.caffemodel', required=testdata_required)

modules/dnn/test/test_darknet_importer.cpp

@@ -329,7 +329,7 @@ TEST_P(Test_Darknet_nets, TinyYoloVoc)
 }
 
 #ifdef HAVE_INF_ENGINE
-static const std::chrono::milliseconds async_timeout(500);
+static const std::chrono::milliseconds async_timeout(10000);
 
 typedef testing::TestWithParam<tuple<std::string, Target> > Test_Darknet_nets_async;
 TEST_P(Test_Darknet_nets_async, Accuracy)

modules/dnn/test/test_misc.cpp

@@ -361,7 +361,7 @@ TEST(Net, forwardAndRetrieve)
 }
 
 #ifdef HAVE_INF_ENGINE
-static const std::chrono::milliseconds async_timeout(500);
+static const std::chrono::milliseconds async_timeout(10000);
 
 // This test runs network in synchronous mode for different inputs and then
 // runs the same model asynchronously for the same inputs.