Support analysis for multiple training data sets in a single pass.

Iterate over each training data set and choose the best scoring plate when there are overlaps
This is useful when countries may have multiple different plate styles (e.g., EU single line and EU multi-line)

src/openalpr/alpr_impl.h

@@ -66,6 +66,13 @@ namespace alpr
     AlprResults results;
   };
 
+  struct AlprRecognizers
+  {
+    Detector* plateDetector;
+    StateDetector* stateDetector;
+    OCR* ocr;
+  };
+
   class AlprImpl
   {
 
@@ -83,6 +90,8 @@ namespace alpr
 
       void applyRegionTemplate(AlprPlateResult* result, std::string region);
 
+      AlprFullDetails analyzeSingleCountry(cv::Mat colorImg, cv::Mat grayImg, std::vector<cv::Rect> regionsOfInterest);
+
       void setDetectRegion(bool detectRegion);
       void setTopN(int topn);
       void setDefaultRegion(std::string region);
@@ -99,9 +108,8 @@ namespace alpr
 
     private:
 
-      Detector* plateDetector;
-      StateDetector* stateDetector;
-      OCR* ocr;
+      std::map<std::string, AlprRecognizers> recognizers;
+
       PreWarp* prewarp;
 
       int topN;