Merge pull request #28752 from abhishek-gola:net_profiling

Added net profiling support #28752

### Pull Request Readiness Checklist

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

- [x] I agree to contribute to the project under Apache 2 License.
- [x] 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
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake

samples/dnn/object_detection.cpp

@@ -6,6 +6,7 @@
 #include <opencv2/imgproc.hpp>
 #include <opencv2/imgcodecs.hpp>
 #include <opencv2/highgui.hpp>
+#include <opencv2/core/utils/logger.hpp>
 
 #include <mutex>
 #include <thread>
@@ -161,6 +162,8 @@ private:
 
 int main(int argc, char** argv)
 {
+    utils::logging::setLogLevel(utils::logging::LOG_LEVEL_INFO);
+
     CommandLineParser parser(argc, argv, keys);
 
     string zooFile = parser.get<String>("zoo");
@@ -225,6 +228,7 @@ int main(int argc, char** argv)
     int backend = getBackendID(parser.get<String>("backend"));
     net.setPreferableBackend(backend);
     net.setPreferableTarget(getTargetID(parser.get<String>("target")));
+    net.setProfilingMode(DNN_PROFILE_SUMMARY);
     //![read_net]
 
     // Create a window
@@ -302,6 +306,7 @@ int main(int argc, char** argv)
                         //![forward]
                         vector<Mat> outs;
                         net.forward(outs, net.getUnconnectedOutLayersNames());
+                        net.printPerfProfile();
                         predictionsQueue.push(outs);
                         //![forward]
                     }
@@ -372,6 +377,7 @@ int main(int argc, char** argv)
             tickMeter.start();
             net.forward(outs, net.getUnconnectedOutLayersNames());
             tickMeter.stop();
+            net.printPerfProfile();
 
             classIds.clear();
             confidences.clear();