Added more comments about how to pack multiple detectors into a single

object_detector.

examples/fhog_object_detector_ex.cpp

@@ -241,6 +241,14 @@ int main(int argc, char** argv)
         // documentation for a discussion of padding).  This is because they all share the
         // same scanner object inside the object_detector.   
         // 
+        // To pack multiple detectors into a single object_detector you use code like this:
+        std::vector<object_detector<image_scanner_type> > my_detectors;
+        // Add your component detectors into my_detectors.
+        my_detectors.push_back(detector);
+        // Then just construct an object_detector from the set of detectors.
+        object_detector<image_scanner_type> this_object_has_multiple_detectors(my_detectors);
+        //
+        //
         // Finally, you can add a nuclear norm regularizer to the SVM trainer.  Doing has
         // two benefits.  First, it can cause the learned HOG detector to be composed of
         // separable filters and therefore makes it execute faster when detecting objects.