Merge pull request #19693 from LupusSanctus:onnx_diagnostic

ONNX diagnostic tool

* Final

* Add forgotten Normalize layer to the set of supported types

* ONNX diagnostic tool corrections

* Fixed CI test warnings

* Added code minor corrections

Co-authored-by: Sergey Slashchinin <sergei.slashchinin@xperience.ai>

modules/dnn/include/opencv2/dnn/dnn.hpp

@@ -100,6 +100,18 @@ CV__DNN_INLINE_NS_BEGIN
     CV_EXPORTS std::vector< std::pair<Backend, Target> > getAvailableBackends();
     CV_EXPORTS_W std::vector<Target> getAvailableTargets(dnn::Backend be);
 
+    /**
+     * @brief Enables detailed logging of the DNN model loading with CV DNN API.
+     * @param[in] isDiagnosticsMode Indicates whether diagnostic mode should be set.
+     *
+     * Diagnostic mode provides detailed logging of the model loading stage to explore
+     * potential problems (ex.: not implemented layer type).
+     *
+     * @note In diagnostic mode series of assertions will be skipped, it can lead to the
+     * expected application crash.
+     */
+    CV_EXPORTS void enableModelDiagnostics(bool isDiagnosticsMode);
+
     /** @brief This class provides all data needed to initialize layer.
      *
      * It includes dictionary with scalar params (which can be read by using Dict interface),

modules/dnn/include/opencv2/dnn/layer_reg.private.hpp

@@ -0,0 +1,23 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+#ifndef OPENCV_DNN_LAYER_REG_HPP
+#define OPENCV_DNN_LAYER_REG_HPP
+#include <opencv2/dnn.hpp>
+
+namespace cv {
+namespace dnn {
+CV__DNN_INLINE_NS_BEGIN
+//! @addtogroup dnn
+//! @{
+
+//! Register layer types of DNN model.
+typedef std::map<std::string, std::vector<LayerFactory::Constructor> > LayerFactory_Impl;
+LayerFactory_Impl& getLayerFactoryImpl();
+
+//! @}
+CV__DNN_INLINE_NS_END
+}
+}
+#endif