Merge pull request opencv#18316 from sl-sergei:fix_18253

Fix loading of ONNX models with Resize operation with Opset 11 for newer versions of Pytorch

* Add reproducer for Resize operation from newer versions of Pytorch

* Fix loading of scales parameter for Resize layer

* Change check type for better diagnostic messages

Author: sl-sergei

modules/dnn/src/onnx/onnx_importer.cpp

@@ -1588,7 +1588,9 @@ void ONNXImporter::populateNet(Net dstNet)
             Mat shapes = getBlob(node_proto, constBlobs, node_proto.input_size() - 1);
             CV_CheckEQ(shapes.size[0], 4, "");
             CV_CheckEQ(shapes.size[1], 1, "");
-            CV_CheckTypeEQ(shapes.depth(), CV_32S, "");
+            CV_CheckDepth(shapes.depth(), shapes.depth() == CV_32S || shapes.depth() == CV_32F, "");
+            if (shapes.depth() == CV_32F)
+                shapes.convertTo(shapes, CV_32S);
             int height = shapes.at<int>(2);
             int width  = shapes.at<int>(3);
             if (node_proto.input_size() == 3)

modules/dnn/test/test_onnx_importer.cpp

@@ -636,6 +636,11 @@ TEST_P(Test_ONNX_layers, MatmulWithTwoInputs)
     testONNXModels("matmul_with_two_inputs");
 }
 
+TEST_P(Test_ONNX_layers, ResizeOpset11_Torch1_6)
+{
+    testONNXModels("resize_opset11_torch1.6");
+}
+
 INSTANTIATE_TEST_CASE_P(/*nothing*/, Test_ONNX_layers, dnnBackendsAndTargets());
 
 class Test_ONNX_nets : public Test_ONNX_layers