OV2.0 mask_rcnn_demo (#3129)

* OV2.0 with IR v10 and IR v11 support in mask_rcnn_demo

* catcher and ov2.0 api

* declare set_terminate

* fix IR v11 converted w/o defining layout

* fix filling tensor with batch image data

* Apply suggestions from code review

Co-authored-by: Zlobin Vladimir <[email protected]>

* Update demos/common/cpp/utils/include/utils/ocv_common.hpp

Co-authored-by: Zlobin Vladimir <[email protected]>

* simplified in/out validation, check imwrite status

* Update demos/mask_rcnn_demo/cpp/main.cpp

Co-authored-by: Zlobin Vladimir <[email protected]>

* nhwc, u8 as default input

Co-authored-by: Zlobin Vladimir <[email protected]>

Author: vladimir-dudnik

demos/common/cpp/utils/include/utils/common.hpp

@@ -317,23 +317,23 @@ void logBasicModelInfo(const std::shared_ptr<ov::Model>& model) {
     ov::OutputVector outputs = model->outputs();
 
     slog::info << "inputs: " << slog::endl;
-    for (const ov::Output<ov::Node> input : inputs)
-    {
+    for (const ov::Output<ov::Node>& input : inputs) {
         const std::string name = input.get_any_name();
         const ov::element::Type type = input.get_element_type();
         const ov::PartialShape shape = input.get_partial_shape();
+        const ov::Layout layout = ov::layout::get_layout(input);
 
-        slog::info << name << ", " << type << ", " << shape << slog::endl;
+        slog::info << name << ", " << type << ", " << shape << ", " << layout.to_string() << slog::endl;
     }
 
     slog::info << "outputs: " << slog::endl;
-    for (const ov::Output<ov::Node> output : outputs)
-    {
+    for (const ov::Output<ov::Node>& output : outputs) {
         const std::string name = output.get_any_name();
         const ov::element::Type type = output.get_element_type();
         const ov::PartialShape shape = output.get_partial_shape();
+        const ov::Layout layout = ov::layout::get_layout(output);
 
-        slog::info << name << ", " << type << ", " << shape << slog::endl;
+        slog::info << name << ", " << type << ", " << shape << ", " << layout.to_string() << slog::endl;
     }
 
     return;

demos/common/cpp/utils/include/utils/ocv_common.hpp

@@ -87,7 +87,7 @@ inline void matToBlob(const cv::Mat& mat, const InferenceEngine::Blob::Ptr& blob
 */
 static UNUSED void matToTensor(const cv::Mat& mat, const ov::Tensor& tensor, int batchIndex = 0) {
     ov::Shape tensorShape = tensor.get_shape();
-    ov::Layout layout("NCHW");
+    static const ov::Layout layout{"NCHW"};
     const size_t width = tensorShape[ov::layout::width_idx(layout)];
     const size_t height = tensorShape[ov::layout::height_idx(layout)];
     const size_t channels = tensorShape[ov::layout::channels_idx(layout)];