Moved using statements out of headers and into cpp

src/openalpr/binarize_wolf.cpp

@@ -33,6 +33,9 @@
 
 #include "binarize_wolf.h"
 
+using namespace std;
+using namespace cv;
+
 // *************************************************************
 // glide a window across the image and
 // create two maps: mean and standard deviation.

src/openalpr/binarize_wolf.h

@@ -26,8 +26,6 @@
 #include <iostream>
 #include "opencv2/opencv.hpp"
 
-using namespace std;
-using namespace cv;
 
 enum NiblackVersion
 {
@@ -44,7 +42,7 @@ enum NiblackVersion
 #define fget(x,y)    at<float>(y,x)
 #define fset(x,y,v)  at<float>(y,x)=v;
 
-void NiblackSauvolaWolfJolion (Mat im, Mat output, NiblackVersion version,
+void NiblackSauvolaWolfJolion (cv::Mat im, cv::Mat output, NiblackVersion version,
                                int winx, int winy, float k);
 
 #endif // OPENALPR_BINARIZEWOLF_H

src/openalpr/characteranalysis.cpp

@@ -19,6 +19,9 @@
 
 #include "characteranalysis.h"
 
+using namespace cv;
+using namespace std;
+
 CharacterAnalysis::CharacterAnalysis(Mat img, Config* config)
 {
   this->config = config;

src/openalpr/characteranalysis.h

@@ -25,29 +25,27 @@
 #include "utility.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 class CharacterAnalysis
 {
 
   public:
-    CharacterAnalysis(Mat img, Config* config);
+    CharacterAnalysis(cv::Mat img, Config* config);
     virtual ~CharacterAnalysis();
 
     bool hasPlateMask;
-    Mat plateMask;
+    cv::Mat plateMask;
 
-    Mat bestThreshold;
+    cv::Mat bestThreshold;
-    vector<vector<Point> > bestContours;
+    std::vector<std::vector<cv::Point> > bestContours;
-    vector<Vec4i> bestHierarchy;
+    std::vector<cv::Vec4i> bestHierarchy;
-    vector<bool> bestCharSegments;
+    std::vector<bool> bestCharSegments;
     int bestCharSegmentsCount;
 
     LineSegment topLine;
     LineSegment bottomLine;
-    vector<Point> linePolygon;
+    std::vector<cv::Point> linePolygon;
-    vector<Point> charArea;
+    std::vector<cv::Point> charArea;
 
     LineSegment charBoxTop;
     LineSegment charBoxBottom;
@@ -56,38 +54,38 @@ class CharacterAnalysis
 
     bool thresholdsInverted;
 
-    vector<Mat> thresholds;
+    std::vector<cv::Mat> thresholds;
-    vector<vector<vector<Point> > > allContours;
+    std::vector<std::vector<std::vector<cv::Point> > > allContours;
-    vector<vector<Vec4i> > allHierarchy;
+    std::vector<std::vector<cv::Vec4i> > allHierarchy;
-    vector<vector<bool> > charSegments;
+    std::vector<std::vector<bool> > charSegments;
 
     void analyze();
 
-    Mat getCharacterMask();
+    cv::Mat getCharacterMask();
 
   private:
     Config* config;
 
-    Mat img_gray;
+    cv::Mat img_gray;
 
-    Mat findOuterBoxMask( );
+    cv::Mat findOuterBoxMask( );
 
     bool isPlateInverted();
-    vector<bool> filter(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy);
+    std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);
 
-    vector<bool> filterByBoxSize(vector<vector<Point> > contours, vector<bool> goodIndices, int minHeightPx, int maxHeightPx);
+    std::vector<bool> filterByBoxSize(std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices, int minHeightPx, int maxHeightPx);
-    vector<bool> filterByParentContour( vector< vector< Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterByParentContour( std::vector< std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
-    vector<bool> filterContourHoles(vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterContourHoles(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
-    vector<bool> filterByOuterMask(vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterByOuterMask(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
 
-    vector<Point> getCharArea();
+    std::vector<cv::Point> getCharArea();
-    vector<Point> getBestVotedLines(Mat img, vector<vector<Point> > contours, vector<bool> goodIndices);
+    std::vector<cv::Point> getBestVotedLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
     //vector<Point> getCharSegmentsBetweenLines(Mat img, vector<vector<Point> > contours, vector<Point> outerPolygon);
-    vector<bool> filterBetweenLines(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<Point> outerPolygon, vector<bool> goodIndices);
+    std::vector<bool> filterBetweenLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<cv::Point> outerPolygon, std::vector<bool> goodIndices);
 
-    bool verifySize(Mat r, float minHeightPx, float maxHeightPx);
+    bool verifySize(cv::Mat r, float minHeightPx, float maxHeightPx);
 
-    int getGoodIndicesCount(vector<bool> goodIndices);
+    int getGoodIndicesCount(std::vector<bool> goodIndices);
 
 };
 

src/openalpr/characterregion.cpp

@@ -18,8 +18,9 @@
 */
 
 #include "characterregion.h"
-//#include <apr-1.0/apr_poll.h>
+
-#include <math.h>
+using namespace cv;
+using namespace std;
 
 CharacterRegion::CharacterRegion(Mat img, Config* config)
 {

src/openalpr/characterregion.h

@@ -26,25 +26,23 @@
 #include "characteranalysis.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 class CharacterRegion
 {
 
   public:
-    CharacterRegion(Mat img, Config* config);
+    CharacterRegion(cv::Mat img, Config* config);
     virtual ~CharacterRegion();
 
     CharacterAnalysis *charAnalysis;
 
     int confidence;
-    Mat getPlateMask();
+    cv::Mat getPlateMask();
 
     LineSegment getTopLine();
     LineSegment getBottomLine();
     //vector<Point> getLinePolygon();
-    vector<Point> getCharArea();
+    std::vector<cv::Point> getCharArea();
 
     LineSegment getCharBoxTop();
     LineSegment getCharBoxBottom();
@@ -57,24 +55,24 @@ class CharacterRegion
     Config* config;
     bool debug;
 
-    Mat findOuterBoxMask(vector<Mat> thresholds, vector<vector<vector<Point> > > allContours, vector<vector<Vec4i> > allHierarchy);
+    cv::Mat findOuterBoxMask(std::vector<cv::Mat> thresholds, std::vector<std::vector<std::vector<cv::Point> > > allContours, std::vector<std::vector<cv::Vec4i> > allHierarchy);
 
-    vector<bool> filter(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy);
+    std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);
-    vector<bool> filterByBoxSize(Mat img, vector<vector<Point> > contours, vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
+    std::vector<bool> filterByBoxSize(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
-    vector<bool> filterByParentContour( vector< vector< Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterByParentContour( std::vector< std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
-    vector<bool> filterContourHoles(vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterContourHoles(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
 
-    vector<Point> getBestVotedLines(Mat img, vector<vector<Point> > contours, vector<bool> goodIndices);
+    std::vector<cv::Point> getBestVotedLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
     //vector<Point> getCharSegmentsBetweenLines(Mat img, vector<vector<Point> > contours, vector<Point> outerPolygon);
-    vector<bool> filterBetweenLines(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<Point> outerPolygon, vector<bool> goodIndices);
+    std::vector<bool> filterBetweenLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<cv::Point> outerPolygon, std::vector<bool> goodIndices);
-    Mat getCharacterMask(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    cv::Mat getCharacterMask(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
 
-    vector<Rect> wrapContours(vector<vector<Point> > contours);
+    std::vector<cv::Rect> wrapContours(std::vector<std::vector<cv::Point> > contours);
-    bool verifySize(Mat r, float minHeightPx, float maxHeightPx);
+    bool verifySize(cv::Mat r, float minHeightPx, float maxHeightPx);
 
-    int getGoodIndicesCount(vector<bool> goodIndices);
+    int getGoodIndicesCount(std::vector<bool> goodIndices);
 
-    bool isPlateInverted(Mat threshold, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    bool isPlateInverted(cv::Mat threshold, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
 
 };
 

src/openalpr/charactersegmenter.cpp

@@ -19,6 +19,9 @@
 
 #include "charactersegmenter.h"
 
+using namespace cv;
+using namespace std;
+
 CharacterSegmenter::CharacterSegmenter(Mat img, bool invertedColors, Config* config)
 {
   this->config = config;

src/openalpr/charactersegmenter.h

@@ -29,30 +29,28 @@
 #include "verticalhistogram.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 //const float MIN_BOX_WIDTH_PX = 4; // 4 pixels
 
-const Scalar COLOR_DEBUG_EDGE(0,0,255); // Red
+const cv::Scalar COLOR_DEBUG_EDGE(0,0,255); // Red
-const Scalar COLOR_DEBUG_SPECKLES(0,0,255); // Red
+const cv::Scalar COLOR_DEBUG_SPECKLES(0,0,255); // Red
-const Scalar COLOR_DEBUG_MIN_HEIGHT(255,0,0); // Blue
+const cv::Scalar COLOR_DEBUG_MIN_HEIGHT(255,0,0); // Blue
-const Scalar COLOR_DEBUG_MIN_AREA(255,0,0); // Blue
+const cv::Scalar COLOR_DEBUG_MIN_AREA(255,0,0); // Blue
-const Scalar COLOR_DEBUG_FULLBOX(255,255,0); // Blue-green
+const cv::Scalar COLOR_DEBUG_FULLBOX(255,255,0); // Blue-green
-const Scalar COLOR_DEBUG_COLORFILTER(255,0,255); // Magenta
+const cv::Scalar COLOR_DEBUG_COLORFILTER(255,0,255); // Magenta
-const Scalar COLOR_DEBUG_EMPTYFILTER(0,255,255); // Yellow
+const cv::Scalar COLOR_DEBUG_EMPTYFILTER(0,255,255); // Yellow
 
 class CharacterSegmenter
 {
 
   public:
-    CharacterSegmenter(Mat img, bool invertedColors, Config* config);
+    CharacterSegmenter(cv::Mat img, bool invertedColors, Config* config);
     virtual ~CharacterSegmenter();
 
-    vector<Rect> characters;
+    std::vector<cv::Rect> characters;
     int confidence;
 
-    vector<Mat> getThresholds();
+    std::vector<cv::Mat> getThresholds();
 
   private:
     Config* config;
@@ -62,40 +60,40 @@ class CharacterSegmenter
     LineSegment top;
     LineSegment bottom;
 
-    vector<Mat> imgDbgGeneral;
+    std::vector<cv::Mat> imgDbgGeneral;
-    vector<Mat> imgDbgCleanStages;
+    std::vector<cv::Mat> imgDbgCleanStages;
 
-    vector<bool> filter(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy);
+    std::vector<bool> filter(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy);
-    vector<bool> filterByBoxSize(vector< vector< Point> > contours, vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
+    std::vector<bool> filterByBoxSize(std::vector< std::vector<cv::Point> > contours, std::vector<bool> goodIndices, float minHeightPx, float maxHeightPx);
-    vector<bool> filterBetweenLines(Mat img, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<Point> outerPolygon, vector<bool> goodIndices);
+    std::vector<bool> filterBetweenLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<cv::Point> outerPolygon, std::vector<bool> goodIndices);
-    vector<bool> filterContourHoles(vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    std::vector<bool> filterContourHoles(std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
 
-    vector<Point> getBestVotedLines(Mat img, vector<vector<Point> > contours, vector<bool> goodIndices);
+    std::vector<cv::Point> getBestVotedLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
-    int getGoodIndicesCount(vector<bool> goodIndices);
+    int getGoodIndicesCount(std::vector<bool> goodIndices);
 
-    Mat getCharacterMask(Mat img_threshold, vector<vector<Point> > contours, vector<Vec4i> hierarchy, vector<bool> goodIndices);
+    cv::Mat getCharacterMask(cv::Mat img_threshold, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, std::vector<bool> goodIndices);
-    Mat getCharBoxMask(Mat img_threshold, vector<Rect> charBoxes);
+    cv::Mat getCharBoxMask(cv::Mat img_threshold, std::vector<cv::Rect> charBoxes);
 
-    void removeSmallContours(vector<Mat> thresholds, vector<vector<vector<Point > > > allContours, float avgCharWidth, float avgCharHeight);
+    void removeSmallContours(std::vector<cv::Mat> thresholds, std::vector<std::vector<std::vector<cv::Point > > > allContours, float avgCharWidth, float avgCharHeight);
 
-    Mat getVerticalHistogram(Mat img, Mat mask);
+    cv::Mat getVerticalHistogram(cv::Mat img, cv::Mat mask);
-    vector<Rect> getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score);
+    std::vector<cv::Rect> getHistogramBoxes(VerticalHistogram histogram, float avgCharWidth, float avgCharHeight, float* score);
-    vector<Rect> getBestCharBoxes(Mat img, vector<Rect> charBoxes, float avgCharWidth);
+    std::vector<cv::Rect> getBestCharBoxes(cv::Mat img, std::vector<cv::Rect> charBoxes, float avgCharWidth);
-    vector<Rect> combineCloseBoxes( vector<Rect> charBoxes, float avgCharWidth);
+    std::vector<cv::Rect> combineCloseBoxes( std::vector<cv::Rect> charBoxes, float avgCharWidth);
 
-    vector<Rect> get1DHits(Mat img, int yOffset);
+    std::vector<cv::Rect> get1DHits(cv::Mat img, int yOffset);
 
-    void cleanCharRegions(vector<Mat> thresholds, vector<Rect> charRegions);
+    void cleanCharRegions(std::vector<cv::Mat> thresholds, std::vector<cv::Rect> charRegions);
-    void cleanBasedOnColor(vector<Mat> thresholds, Mat colorMask, vector<Rect> charRegions);
+    void cleanBasedOnColor(std::vector<cv::Mat> thresholds, cv::Mat colorMask, std::vector<cv::Rect> charRegions);
-    void cleanMostlyFullBoxes(vector<Mat> thresholds, const vector<Rect> charRegions);
+    void cleanMostlyFullBoxes(std::vector<cv::Mat> thresholds, const std::vector<cv::Rect> charRegions);
-    vector<Rect> filterMostlyEmptyBoxes(vector<Mat> thresholds, const  vector<Rect> charRegions);
+    std::vector<cv::Rect> filterMostlyEmptyBoxes(std::vector<cv::Mat> thresholds, const  std::vector<cv::Rect> charRegions);
-    void filterEdgeBoxes(vector<Mat> thresholds, const vector<Rect> charRegions, float avgCharWidth, float avgCharHeight);
+    void filterEdgeBoxes(std::vector<cv::Mat> thresholds, const std::vector<cv::Rect> charRegions, float avgCharWidth, float avgCharHeight);
 
-    int getLongestBlobLengthBetweenLines(Mat img, int col);
+    int getLongestBlobLengthBetweenLines(cv::Mat img, int col);
 
-    int isSkinnyLineInsideBox(Mat threshold, Rect box, vector<vector<Point> > contours, vector<Vec4i> hierarchy, float avgCharWidth, float avgCharHeight);
+    int isSkinnyLineInsideBox(cv::Mat threshold, cv::Rect box, std::vector<std::vector<cv::Point> > contours, std::vector<cv::Vec4i> hierarchy, float avgCharWidth, float avgCharHeight);
 
-    vector<Point> getEncapsulatingLines(Mat img, vector<vector<Point> > contours, vector<bool> goodIndices);
+    std::vector<cv::Point> getEncapsulatingLines(cv::Mat img, std::vector<std::vector<cv::Point> > contours, std::vector<bool> goodIndices);
 };
 
 #endif // OPENALPR_CHARACTERSEGMENTER_H

src/openalpr/colorfilter.cpp

@@ -19,6 +19,9 @@
 
 #include "colorfilter.h"
 
+using namespace cv;
+using namespace std;
+
 ColorFilter::ColorFilter(Mat image, Mat characterMask, Config* config)
 {
   timespec startTime;

src/openalpr/colorfilter.h

@@ -27,33 +27,31 @@
 #include "utility.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 class ColorFilter
 {
 
   public:
-    ColorFilter(Mat image, Mat characterMask, Config* config);
+    ColorFilter(cv::Mat image, cv::Mat characterMask, Config* config);
     virtual ~ColorFilter();
 
-    Mat colorMask;
+    cv::Mat colorMask;
 
   private:
 
     Config* config;
     bool debug;
 
-    Mat hsv;
+    cv::Mat hsv;
-    Mat charMask;
+    cv::Mat charMask;
 
     bool grayscale;
 
     void preprocessImage();
     void findCharColors();
 
-    bool imageIsGrayscale(Mat image);
+    bool imageIsGrayscale(cv::Mat image);
-    int getMajorityOpinion(vector<float> values, float minPercentAgreement, float maxValDifference);
+    int getMajorityOpinion(std::vector<float> values, float minPercentAgreement, float maxValDifference);
 };
 
 #endif // OPENALPR_COLORFILTER_H

src/openalpr/config.cpp

@@ -19,6 +19,7 @@
 
 #include "config.h"
 
+using namespace std;
 
 Config::Config(const std::string country, const std::string config_file, const std::string runtime_dir)
 {

src/openalpr/config.h

@@ -32,7 +32,6 @@
 #include <stdlib.h>     /* getenv */
 #include <math.h>
 
-using namespace std;
 
 class Config
 {
@@ -43,7 +42,7 @@ class Config
 
     bool loaded;
     
-    string country;
+    std::string country;
     
     bool opencl_enabled;
     int multithreading_cores;
@@ -86,7 +85,7 @@ class Config
     float segmentationMinCharHeightPercent;
     float segmentationMaxCharWidthvsAverage;
     
-    string ocrLanguage;
+    std::string ocrLanguage;
     int ocrMinFontSize;
     
     float postProcessMinConfidence;
@@ -112,22 +111,22 @@ class Config
     
     void debugOff();
    
-    string getKeypointsRuntimeDir();
+    std::string getKeypointsRuntimeDir();
-    string getCascadeRuntimeDir();
+    std::string getCascadeRuntimeDir();
-    string getPostProcessRuntimeDir();
+    std::string getPostProcessRuntimeDir();
-    string getTessdataPrefix();
+    std::string getTessdataPrefix();
 
 private:
     CSimpleIniA* ini;
 
-    string runtimeBaseDir;
+    std::string runtimeBaseDir;
     
-    void loadValues(string country);
+    void loadValues(std::string country);
     
-    int getInt(string section, string key, int defaultValue);
+    int getInt(std::string section, std::string key, int defaultValue);
-    float getFloat(string section, string key, float defaultValue);
+    float getFloat(std::string section, std::string key, float defaultValue);
-    string getString(string section, string key, string defaultValue);
+    std::string getString(std::string section, std::string key, std::string defaultValue);
-    bool getBoolean(string section, string key, bool defaultValue);
+    bool getBoolean(std::string section, std::string key, bool defaultValue);
 };
 
 

src/openalpr/featurematcher.cpp

@@ -19,6 +19,9 @@
 
 #include "featurematcher.h"
 
+using namespace cv;
+using namespace std;
+
 //const int DEFAULT_QUERY_FEATURES = 305;
 //const int DEFAULT_TRAINING_FEATURES = 305;
 const float MAX_DISTANCE_TO_MATCH = 100.0f;

src/openalpr/featurematcher.h

@@ -30,13 +30,11 @@
 #include "utility.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 struct RecognitionResult
 {
   bool haswinner;
-  string winner;
+  std::string winner;
   int confidence;
 } ;
 
@@ -47,10 +45,10 @@ class FeatureMatcher
     FeatureMatcher(Config* config);
     virtual ~FeatureMatcher();
 
-    RecognitionResult recognize( const Mat& queryImg, bool drawOnImage, Mat* outputImage,
+    RecognitionResult recognize( const cv::Mat& queryImg, bool drawOnImage, cv::Mat* outputImage,
-                                 bool debug_on, vector<int> debug_matches_array );
+                                 bool debug_on, std::vector<int> debug_matches_array );
 
-    bool loadRecognitionSet(string country);
+    bool loadRecognitionSet(std::string country);
 
     bool isLoaded();
 
@@ -59,20 +57,20 @@ class FeatureMatcher
   private:
     Config* config;
 
-    Ptr<DescriptorMatcher> descriptorMatcher;
+    cv::Ptr<cv::DescriptorMatcher> descriptorMatcher;
-    Ptr<FastFeatureDetector> detector;
+    cv::Ptr<cv::FastFeatureDetector> detector;
-    Ptr<BRISK> extractor;
+    cv::Ptr<cv::BRISK> extractor;
 
-    vector<vector<KeyPoint> > trainingImgKeypoints;
+    std::vector<std::vector<cv::KeyPoint> > trainingImgKeypoints;
 
-    void _surfStyleMatching(const Mat& queryDescriptors, vector<vector<DMatch> > matchesKnn, vector<DMatch>& matches12);
+    void _surfStyleMatching(const cv::Mat& queryDescriptors, std::vector<std::vector<cv::DMatch> > matchesKnn, std::vector<cv::DMatch>& matches12);
 
-    void crisscrossFiltering(const vector<KeyPoint> queryKeypoints, const vector<DMatch> inputMatches, vector<DMatch> &outputMatches);
+    void crisscrossFiltering(const std::vector<cv::KeyPoint> queryKeypoints, const std::vector<cv::DMatch> inputMatches, std::vector<cv::DMatch> &outputMatches);
 
-    vector<string> billMapping;
+    std::vector<std::string> billMapping;
 
-    void surfStyleMatching( const Mat& queryDescriptors, vector<KeyPoint> queryKeypoints,
+    void surfStyleMatching( const cv::Mat& queryDescriptors, std::vector<cv::KeyPoint> queryKeypoints,
-                            vector<DMatch>& matches12 );
+                            std::vector<cv::DMatch>& matches12 );
 
 };
 

src/openalpr/licenseplatecandidate.cpp

@@ -19,6 +19,9 @@
 
 #include "licenseplatecandidate.h"
 
+using namespace std;
+using namespace cv;
+
 LicensePlateCandidate::LicensePlateCandidate(Mat frame, Rect regionOfInterest, Config* config)
 {
   this->config = config;

src/openalpr/licenseplatecandidate.h

@@ -35,8 +35,6 @@
 #include "platecorners.h"
 #include "config.h"
 
-using namespace std;
-using namespace cv;
 
 //vector<Rect> getCharacterRegions(Mat frame, vector<Rect> regionsOfInterest);
 //vector<RotatedRect> getCharSegmentsBetweenLines(Mat img, vector<vector<Point> > contours, LineSegment top, LineSegment bottom);
@@ -45,30 +43,30 @@ class LicensePlateCandidate
 {
 
   public:
-    LicensePlateCandidate(Mat frame, Rect regionOfInterest, Config* config);
+    LicensePlateCandidate(cv::Mat frame, cv::Rect regionOfInterest, Config* config);
     virtual ~LicensePlateCandidate();
 
     float confidence;		// 0-100
     //vector<Point> points;	// top-left, top-right, bottom-right, bottom-left
-    vector<Point2f> plateCorners;
+    std::vector<cv::Point2f> plateCorners;
 
     void recognize();
 
-    Mat deskewed;
+    cv::Mat deskewed;
     CharacterSegmenter* charSegmenter;
 
   private:
 
     Config* config;
 
-    Mat frame;
+    cv::Mat frame;
-    Rect plateRegion;
+    cv::Rect plateRegion;
 
-    Mat filterByCharacterHue(vector<vector<Point> > charRegionContours);
+    cv::Mat filterByCharacterHue(std::vector<std::vector<cv::Point> > charRegionContours);
-    vector<Point> findPlateCorners(Mat inputImage, PlateLines plateLines, CharacterRegion charRegion);	// top-left, top-right, bottom-right, bottom-left
+    std::vector<cv::Point> findPlateCorners(cv::Mat inputImage, PlateLines plateLines, CharacterRegion charRegion);	// top-left, top-right, bottom-right, bottom-left
 
-    vector<Point2f> transformPointsToOriginalImage(Mat bigImage, Mat smallImage, Rect region, vector<Point> corners);
+    std::vector<cv::Point2f> transformPointsToOriginalImage(cv::Mat bigImage, cv::Mat smallImage, cv::Rect region, std::vector<cv::Point> corners);
-    Mat deSkewPlate(Mat inputImage, vector<Point2f> corners);
+    cv::Mat deSkewPlate(cv::Mat inputImage, std::vector<cv::Point2f> corners);
 
 };
 

src/openalpr/platecorners.cpp

@@ -19,6 +19,9 @@
 
 #include "platecorners.h"
 
+using namespace cv;
+using namespace std;
+
 PlateCorners::PlateCorners(Mat inputImage, PlateLines* plateLines, CharacterRegion* charRegion, Config* config)
 {
   this->config = config;

src/openalpr/platecorners.h

@@ -26,8 +26,6 @@
 #include "utility.h"
 #include "config.h"
 
-using namespace cv;
-using namespace std;
 
 #define NO_LINE -1
 
@@ -46,17 +44,17 @@ class PlateCorners
 {
 
   public:
-    PlateCorners(Mat inputImage, PlateLines* plateLines, CharacterRegion* charRegion, Config* config);
+    PlateCorners(cv::Mat inputImage, PlateLines* plateLines, CharacterRegion* charRegion, Config* config);
     virtual ~PlateCorners();
 
-    vector<Point> findPlateCorners();
+    std::vector<cv::Point> findPlateCorners();
 
     float confidence;
 
   private:
 
     Config* config;
-    Mat inputImage;
+    cv::Mat inputImage;
     float charHeight;
     float charAngle;
 

src/openalpr/platelines.cpp

@@ -19,6 +19,9 @@
 
 #include "platelines.h"
 
+using namespace cv;
+using namespace std;
+
 PlateLines::PlateLines(Config* config)
 {
   this->config = config;

src/openalpr/platelines.h

@@ -27,8 +27,6 @@
 #include "config.h"
 #include "characterregion.h"
 
-using namespace cv;
-using namespace std;
 
 class PlateLines
 {
@@ -37,20 +35,20 @@ class PlateLines
     PlateLines(Config* config);
     virtual ~PlateLines();
 
-    void processImage(Mat img, CharacterRegion* charRegion, float sensitivity=1.0);
+    void processImage(cv::Mat img, CharacterRegion* charRegion, float sensitivity=1.0);
 
-    vector<LineSegment> horizontalLines;
+    std::vector<LineSegment> horizontalLines;
-    vector<LineSegment> verticalLines;
+    std::vector<LineSegment> verticalLines;
 
-    vector<Point> winningCorners;
+    std::vector<cv::Point> winningCorners;
 
   private:
     Config* config;
     bool debug;
 
-    Mat customGrayscaleConversion(Mat src);
+    cv::Mat customGrayscaleConversion(cv::Mat src);
-    void findLines(Mat inputImage);
+    void findLines(cv::Mat inputImage);
-    vector<LineSegment> getLines(Mat edges, float sensitivityMultiplier, bool vertical);
+    std::vector<LineSegment> getLines(cv::Mat edges, float sensitivityMultiplier, bool vertical);
 };
 
 #endif // OPENALPR_PLATELINES_H

src/openalpr/postprocess.cpp

@@ -19,6 +19,8 @@
 
 #include "postprocess.h"
 
+using namespace std;
+
 PostProcess::PostProcess(Config* config)
 {
   this->config = config;

src/openalpr/postprocess.h

@@ -29,7 +29,6 @@
 #include <vector>
 #include "config.h"
 
-using namespace std;
 
 #define SKIP_CHAR '~'
 
@@ -43,7 +42,7 @@ struct Letter
 
 struct PPResult
 {
-  string letters;
+  std::string letters;
   float totalscore;
   bool matchesTemplate;
 };
@@ -54,18 +53,18 @@ bool letterCompare( const Letter &left, const Letter &right );
 class RegexRule
 {
   public:
-    RegexRule(string region, string pattern);
+    RegexRule(std::string region, std::string pattern);
 
-    bool match(string text);
+    bool match(std::string text);
-    string filterSkips(string text);
+    std::string filterSkips(std::string text);
 
   private:
     int numchars;
     TRexpp trexp;
-    string original;
+    std::string original;
-    string regex;
+    std::string regex;
-    string region;
+    std::string region;
-    vector<int> skipPositions;
+    std::vector<int> skipPositions;
 };
 
 class PostProcess
@@ -77,33 +76,33 @@ class PostProcess
     void addLetter(char letter, int charposition, float score);
 
     void clear();
-    void analyze(string templateregion, int topn);
+    void analyze(std::string templateregion, int topn);
 
-    string bestChars;
+    std::string bestChars;
     bool matchesTemplate;
 
-    const vector<PPResult> getResults();
+    const std::vector<PPResult> getResults();
 
   private:
     Config* config;
     //void getTopN();
-    void findAllPermutations(vector<Letter> prevletters, int charPos, int substitutionsLeft);
+    void findAllPermutations(std::vector<Letter> prevletters, int charPos, int substitutionsLeft);
 
     void insertLetter(char letter, int charPosition, float score);
 
-    map<string, vector<RegexRule*> > rules;
+    std::map<std::string, std::vector<RegexRule*> > rules;
 
     float calculateMaxConfidenceScore();
 
-    vector<vector<Letter> > letters;
+    std::vector<std::vector<Letter> > letters;
-    vector<int> unknownCharPositions;
+    std::vector<int> unknownCharPositions;
 
-    vector<PPResult> allPossibilities;
+    std::vector<PPResult> allPossibilities;
 
     // Functions used to prune the list of letters (based on topn) to improve performance
-    vector<int> getMaxDepth(int topn);
+    std::vector<int> getMaxDepth(int topn);
-    int getPermutationCount(vector<int> depth);
+    int getPermutationCount(std::vector<int> depth);
-    int getNextLeastDrop(vector<int> depth);
+    int getNextLeastDrop(std::vector<int> depth);
 };
 
 /*

src/openalpr/regiondetector.cpp

@@ -19,6 +19,9 @@
 
 #include "regiondetector.h"
 
+using namespace cv;
+using namespace std;
+
 RegionDetector::RegionDetector(Config* config)
 {
   this->config = config;

src/openalpr/regiondetector.h

@@ -34,8 +34,8 @@
 
 struct PlateRegion
 {
-  Rect rect;
+  cv::Rect rect;
-  vector<PlateRegion> children;
+  std::vector<PlateRegion> children;
 };
 
 class RegionDetector
@@ -46,19 +46,19 @@ class RegionDetector
     virtual ~RegionDetector();
 
     bool isLoaded();
-    vector<PlateRegion> detect(Mat frame);
+    std::vector<PlateRegion> detect(cv::Mat frame);
 
   private:
     Config* config;
 
     float scale_factor;
-    CascadeClassifier* plate_cascade;
+    cv::CascadeClassifier* plate_cascade;
 
     bool loaded;
 
-    vector<PlateRegion> doCascade(Mat frame);
+    std::vector<PlateRegion> doCascade(cv::Mat frame);
 
-    vector<PlateRegion> aggregateRegions(vector<Rect> regions);
+    std::vector<PlateRegion> aggregateRegions(std::vector<cv::Rect> regions);
 };
 
 #endif // OPENALPR_REGIONDETECTOR_H

src/openalpr/stateidentifier.cpp

@@ -19,6 +19,10 @@
 
 #include "stateidentifier.h"
 
+
+using namespace cv;
+using namespace std;
+
 StateIdentifier::StateIdentifier(Config* config)
 {
   this->config = config;

src/openalpr/stateidentifier.h

@@ -33,8 +33,8 @@ class StateIdentifier
     StateIdentifier(Config* config);
     virtual ~StateIdentifier();
 
-    int recognize(Mat img, Rect frame, char* stateCode);
+    int recognize(cv::Mat img, cv::Rect frame, char* stateCode);
-    int recognize(Mat img, char* stateCode);
+    int recognize(cv::Mat img, char* stateCode);
 
     //int confidence;
 

src/openalpr/utility.cpp

@@ -19,6 +19,9 @@
 
 #include "utility.h"
 
+using namespace cv;
+using namespace std;
+
 Rect expandRect(Rect original, int expandXPixels, int expandYPixels, int maxX, int maxY)
 {
   Rect expandedRegion = Rect(original);

src/openalpr/utility.h

@@ -47,7 +47,7 @@ class LineSegment
 {
 
   public:
-    Point p1, p2;
+    cv::Point p1, p2;
     float slope;
     float length;
     float angle;
@@ -55,21 +55,21 @@ class LineSegment
     // LineSegment(Point point1, Point point2);
     LineSegment();
     LineSegment(int x1, int y1, int x2, int y2);
-    LineSegment(Point p1, Point p2);
+    LineSegment(cv::Point p1, cv::Point p2);
 
     void init(int x1, int y1, int x2, int y2);
 
-    bool isPointBelowLine(Point tp);
+    bool isPointBelowLine(cv::Point tp);
 
     float getPointAt(float x);
 
-    Point closestPointOnSegmentTo(Point p);
+    cv::Point closestPointOnSegmentTo(cv::Point p);
 
-    Point intersection(LineSegment line);
+    cv::Point intersection(LineSegment line);
 
     LineSegment getParallelLine(float distance);
 
-    Point midpoint();
+    cv::Point midpoint();
 
     inline std::string str()
     {
@@ -82,28 +82,28 @@ class LineSegment
 
 double median(int array[], int arraySize);
 
-vector<Mat> produceThresholds(const Mat img_gray, Config* config);
+std::vector<cv::Mat> produceThresholds(const cv::Mat img_gray, Config* config);
 
-Mat drawImageDashboard(vector<Mat> images, int imageType, int numColumns);
+cv::Mat drawImageDashboard(std::vector<cv::Mat> images, int imageType, int numColumns);
 
-void displayImage(Config* config, string windowName, cv::Mat frame);
+void displayImage(Config* config, std::string windowName, cv::Mat frame);
 void drawAndWait(cv::Mat* frame);
 
-double distanceBetweenPoints(Point p1, Point p2);
+double distanceBetweenPoints(cv::Point p1, cv::Point p2);
 
-void drawRotatedRect(Mat* img, RotatedRect rect, Scalar color, int thickness);
+void drawRotatedRect(cv::Mat* img, cv::RotatedRect rect, cv::Scalar color, int thickness);
 
-void drawX(Mat img, Rect rect, Scalar color, int thickness);
+void drawX(cv::Mat img, cv::Rect rect, cv::Scalar color, int thickness);
-void fillMask(Mat img, const Mat mask, Scalar color);
+void fillMask(cv::Mat img, const cv::Mat mask, cv::Scalar color);
 
-float angleBetweenPoints(Point p1, Point p2);
+float angleBetweenPoints(cv::Point p1, cv::Point p2);
 
-Size getSizeMaintainingAspect(Mat inputImg, int maxWidth, int maxHeight);
+cv::Size getSizeMaintainingAspect(cv::Mat inputImg, int maxWidth, int maxHeight);
 
-Mat equalizeBrightness(Mat img);
+cv::Mat equalizeBrightness(cv::Mat img);
 
-Rect expandRect(Rect original, int expandXPixels, int expandYPixels, int maxX, int maxY);
+cv::Rect expandRect(cv::Rect original, int expandXPixels, int expandYPixels, int maxX, int maxY);
 
-Mat addLabel(Mat input, string label);
+cv::Mat addLabel(cv::Mat input, std::string label);
 
 #endif // OPENALPR_UTILITY_H

src/openalpr/verticalhistogram.cpp

@@ -19,6 +19,9 @@
 
 #include "verticalhistogram.h"
 
+using namespace cv;
+using namespace std;
+
 VerticalHistogram::VerticalHistogram(Mat inputImage, Mat mask)
 {
   analyzeImage(inputImage, mask);

src/openalpr/verticalhistogram.h

@@ -22,8 +22,6 @@
 
 #include "opencv2/imgproc/imgproc.hpp"
 
-using namespace cv;
-using namespace std;
 
 struct Valley
 {
@@ -39,10 +37,10 @@ class VerticalHistogram
 {
 
   public:
-    VerticalHistogram(Mat inputImage, Mat mask);
+    VerticalHistogram(cv::Mat inputImage, cv::Mat mask);
     virtual ~VerticalHistogram();
 
-    Mat histoImg;
+    cv::Mat histoImg;
 
     // Returns the lowest X position between two points.
     int getLocalMinimum(int leftX, int rightX);
@@ -52,12 +50,12 @@ class VerticalHistogram
     int getHeightAt(int x);
 
   private:
-    vector<int> colHeights;
+    std::vector<int> colHeights;
     int highestPeak;
     int lowestValley;
-    vector<Valley> valleys;
+    std::vector<Valley> valleys;
 
-    void analyzeImage(Mat inputImage, Mat mask);
+    void analyzeImage(cv::Mat inputImage, cv::Mat mask);
     void findValleys();
 
     HistogramDirection getHistogramDirection(int index);