Merge pull request #23843 from TolyaTalamanov:at/fix-missing-opaque-kind-for-kernel

G-API: Fix incorrect OpaqueKind for Kernel outputs #23843

### Pull Request Readiness Checklist

#### Overview
The PR is going to fix several problems:
1. Major: `GKernel` doesn't hold `kind` for its outputs. Since `GModelBuilder` traverse graph from outputs to inputs once it reaches any output of the operation it will use its `kind` to create  `Data` meta for all operation outputs. Since it essential for `python` to know `GTypeInfo` (which is `shape` and `kind`) it will be confused.

Consider this operation:
```
 @cv.gapi.op('custom.square_mean', in_types=[cv.GArray.Int], out_types=[cv.GOpaque.Float, cv.GArray.Int])
    class GSquareMean:
        @staticmethod
        def outMeta(desc):
            return cv.empty_gopaque_desc(), cv.empty_array_desc()
```
Even though `GOpaque` is `Float`, corresponding metadata might have `Int` kind because it might be taken from `cv.GArray.Int`
so it will be a problem if one of the outputs of these operation is graph output because python will cast it to the wrong type based on `Data` meta.

2. Minor: Some of the OpenVINO `IR`'s doesn't any layout information for input. It's usually true only for `IRv10` but since `OpenVINO 2.0` need this information to correctly configure resize we need to put default layout if there no such assigned in `ov::Model`. 

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [ ] I agree to contribute to the project under Apache 2 License.
- [ ] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

modules/gapi/src/backends/ov/govbackend.cpp

@@ -738,6 +738,15 @@ public:
         const auto explicit_in_model_layout = lookUp(m_input_model_layout, input_name);
         if (explicit_in_model_layout) {
             input_info.model().set_layout(::ov::Layout(*explicit_in_model_layout));
+        } else if (m_model->input(input_name).get_shape().size() == 4u) {
+            // NB: Back compatibility with IR's without any layout information.
+            // Note that default is only applicable for 4D inputs in order to
+            // support auto resize for image use cases.
+            GAPI_LOG_WARNING(NULL, "Failed to find layout for input layer \""
+                    << input_name << "\" - NCHW is set by default");
+            const std::string default_layout = "NCHW";
+            input_info.model().set_layout(::ov::Layout(default_layout));
+            m_input_model_layout.emplace(input_name, default_layout);
         }
         const auto explicit_in_tensor_layout = lookUp(m_input_tensor_layout, input_name);
         if (explicit_in_tensor_layout) {
@@ -765,6 +774,7 @@ public:
         const auto &matdesc = cv::util::get<cv::GMatDesc>(input_meta);
 
         const auto explicit_in_tensor_layout = lookUp(m_input_tensor_layout, input_name);
+        const auto explicit_in_model_layout  = lookUp(m_input_model_layout, input_name);
         const auto explicit_resize = lookUp(m_interpolation, input_name);
 
         if (disable_img_resize && explicit_resize.has_value()) {
@@ -810,7 +820,9 @@ public:
                 if (matdesc.isND()) {
                     // NB: ND case - need to obtain "H" and "W" positions
                     // in order to configure resize.
-                    const auto model_layout = ::ov::layout::get_layout(m_model->input(input_name));
+                    const auto model_layout = explicit_in_model_layout
+                        ? ::ov::Layout(*explicit_in_model_layout)
+                        : ::ov::layout::get_layout(m_model->input(input_name));
                     if (!explicit_in_tensor_layout && model_layout.empty()) {
                         std::stringstream ss;
                         ss << "Resize for input layer: " << input_name