Merge pull request #21518 from zihaomu:resize_onnx_opset13

Add resize layer compatible with ONNX opset13 version

modules/dnn/src/graph_simplifier.cpp

@@ -108,7 +108,7 @@ bool Subgraph::match(const Ptr<ImportGraphWrapper>& net, int nodeId,
 
         for (int j = 0; j < inputNodes.size(); ++j)
         {
-            if (nodes[inputNodes[j]].empty())  // Unknown input node type.
+            if (nodes[inputNodes[j]].empty() || node->getInputName(j).empty())  // Unknown input node type.
                 continue;
             nodeId = getInputNodeId(net, node, j);
             const Ptr<ImportNodeWrapper> inpNode = net->getNode(nodeId);

modules/dnn/src/onnx/onnx_importer.cpp

@@ -2781,16 +2781,20 @@ void ONNXImporter::parseResize(LayerParams& layerParams, const opencv_onnx::Node
 
     // opset-10: input = [X, scales]
     // opset-11: input = [X, roi, scales] or [x, roi, scales, sizes]
+    // opset-13: may have empty input, [X, "", "", sizes] or [x, "", scales]
     int scalesInputId = node_proto.input_size() == 2 ? 1 : 2;
+    const std::string& scale_name = node_proto.input(scalesInputId);
+    Mat scales;
+    if(!scale_name.empty())
+        scales = getBlob(node_proto, scalesInputId);
 
-    Mat scales = getBlob(node_proto, scalesInputId);
     if (!scales.empty())
     {
         CV_CheckEQ(scales.total(), (size_t)4, "HCHW layout is expected");
         layerParams.set("zoom_factor_y", scales.at<float>(2));
         layerParams.set("zoom_factor_x", scales.at<float>(3));
     }
-    else if (node_proto.input_size() >= 4)  // opset-11
+    else if (node_proto.input_size() >= 4)  // opset-11 [x, roi, scales, sizes] or opset-13: input = [X, "", "", sizes]
     {
         const std::string& inputSizes = node_proto.input(3);
         if (constBlobs.find(inputSizes) != constBlobs.end())

modules/dnn/test/test_onnx_importer.cpp

@@ -885,9 +885,14 @@ TEST_P(Test_ONNX_layers, DynamicResize)
     testONNXModels("dynamic_resize_9", npy, 0, 0, false, true, 2);
     testONNXModels("dynamic_resize_10", npy, 0, 0, false, true, 2);
     testONNXModels("dynamic_resize_11", npy, 0, 0, false, true, 2);
+    testONNXModels("dynamic_resize_13", npy, 0, 0, false, true, 2);
     testONNXModels("dynamic_resize_scale_9", npy, 0, 0, false, true, 2);
     testONNXModels("dynamic_resize_scale_10", npy, 0, 0, false, true, 2);
     testONNXModels("dynamic_resize_scale_11", npy, 0, 0, false, true, 2);
+    testONNXModels("dynamic_resize_scale_13", npy, 0, 0, false, true, 2);
+
+    testONNXModels("resize_size_opset11");
+    testONNXModels("resize_size_opset13");
 }
 
 TEST_P(Test_ONNX_layers, Resize_HumanSeg)