SVM train without changing source files.

include/easypr/api.hpp

@@ -12,11 +12,8 @@ namespace easypr {
 
 namespace api {
 
-const char* kDefaultSVMModel = "resources/model/svm.xml";
-const char* kDefaultANNModel = "resourecs/model/ann.xml";
-
 static bool plate_judge(const char* image,const char *model) {
-  Mat src = imread(image);
+  cv::Mat src = cv::imread(image);
 
   assert(!src.empty());
 
@@ -30,7 +27,7 @@ static bool plate_judge(const char* image,const char *model) {
 }
 
 static void plate_locate(const char* image, const bool life_mode = true) {
-  Mat src = imread(image);
+  cv::Mat src = cv::imread(image);
 
   assert(!src.empty());
 

include/easypr/chars_identify.h

@@ -12,49 +12,50 @@
 #ifndef __CHARS_IDENTIFY_H__
 #define __CHARS_IDENTIFY_H__
 
-#include "prep.h"
+#include <opencv2/opencv.hpp>
+#include <string>
 
-/*! \namespace easypr
-    Namespace where all the C++ EasyPR functionality resides
-*/
 namespace easypr {
-	
-class CCharsIdentify 
-{
-public:
-	CCharsIdentify();
 
-	//! 字符鉴别
-	string charsIdentify(Mat, bool, bool);
-	string charsIdentify(Mat input);
+class CCharsIdentify {
+ public:
+  CCharsIdentify();
 
-	//! 字符分类
-	int classify(Mat, bool,bool);
-	int classify(Mat f);
-	//! 装载ANN模型
-	void LoadModel();
+  //! 字符鉴别
+  std::string charsIdentify(cv::Mat, bool, bool);
 
-	//! 装载ANN模型
-	void LoadModel(string s);
+  std::string charsIdentify(cv::Mat input);
 
-	//! 设置与读取模型路径
-	inline void setModelPath(string path){	m_path = path;	}
-	inline string getModelPath() const{	 return m_path;	}
+  //! 字符分类
+  int classify(cv::Mat, bool, bool);
 
-private:
-	//！使用的ANN模型
-	CvANN_MLP ann;
+  int classify(cv::Mat f);
 
-	//! 模型存储路径
-	string m_path;
+  //! 装载ANN模型
+  void LoadModel();
 
-	//! 特征尺寸
-	int m_predictSize;
+  //! 装载ANN模型
+  void LoadModel(std::string s);
 
-	//! 省份对应map
-	map<string, string> m_map;
+  //! 设置与读取模型路径
+  inline void setModelPath(std::string path) { m_path = path; }
+
+  inline std::string getModelPath() const { return m_path; }
+
+ private:
+  //！使用的ANN模型
+  CvANN_MLP ann;
+
+  //! 模型存储路径
+  std::string m_path;
+
+  //! 特征尺寸
+  int m_predictSize;
+
+  //! 省份对应map
+  std::map<std::string, std::string> m_map;
 };
 
-}	/* \namespace easypr  */
+}  /* \namespace easypr  */
 
 #endif /* endif __CHARS_IDENTIFY_H__ */

include/easypr/chars_recognise.h

@@ -12,8 +12,6 @@
 #ifndef __CHARS_RECOGNISE_H__
 #define __CHARS_RECOGNISE_H__
 
-#include "prep.h"
-
 #include "chars_segment.h"
 #include "chars_identify.h"
 
@@ -22,54 +20,69 @@ Namespace where all the C++ EasyPR functionality resides
 */
 namespace easypr {
 
-	class CCharsRecognise
-	{
-	public:
-		CCharsRecognise();
+class CCharsRecognise {
+ public:
+  CCharsRecognise();
+
+  //! 字符分割与识别
+  int charsRecognise(cv::Mat, std::string&, int = 0);
+
+  cv::string charsRecognise(cv::Mat plate);
+
+  //! 装载ANN模型
+  void LoadANN(cv::string s);
+
+  //! 是否开启调试模式
+  inline void setCRDebug(int param) { m_charsSegment->setDebug(param); }
+
+  //! 获取调试模式状态
+  inline int getCRDebug() { return m_charsSegment->getDebug(); }
 
-		//! 字符分割与识别
-		int charsRecognise(Mat, String&, int = 0);
 
-		string charsRecognise(Mat plate);
+  //! 获得车牌颜色
+  inline cv::string getPlateColor(cv::Mat input) const {
+    cv::string color = "未知";
+    Color result = getPlateType(input, true);
+    if (BLUE == result)
+      color = "蓝牌";
+    if (YELLOW == result)
+      color = "黄牌";
+    return color;
+  }
 
-		//! 装载ANN模型
-		void LoadANN(string s);
+  //! 设置变量
+  inline void setLiuDingSize(int param) {
+    m_charsSegment->setLiuDingSize(param);
+  }
 
-		//! 是否开启调试模式
-		inline void setCRDebug(int param){ m_charsSegment->setDebug(param); }
+  inline void setColorThreshold(int param) {
+    m_charsSegment->setColorThreshold(param);
+  }
 
-		//! 获取调试模式状态
-		inline int getCRDebug(){ return m_charsSegment->getDebug(); }
+  inline void setBluePercent(float param) {
+    m_charsSegment->setBluePercent(param);
+  }
 
+  inline float getBluePercent() const {
+    return m_charsSegment->getBluePercent();
+  }
 
-		//! 获得车牌颜色
-		inline string getPlateColor(Mat input) const
-		{
-			string color = "未知";
-			Color result = getPlateType(input, true);
-			if (BLUE == result)
-				color = "蓝牌";
-			if (YELLOW == result)
-				color = "黄牌";
-			return color;
-		}
+  inline void setWhitePercent(float param) {
+    m_charsSegment->setWhitePercent(param);
+  }
 
-		//! 设置变量
-		inline void setLiuDingSize(int param){ m_charsSegment->setLiuDingSize(param); }
-		inline void setColorThreshold(int param){ m_charsSegment->setColorThreshold(param); }
-		inline void setBluePercent(float param){ m_charsSegment->setBluePercent(param); }
-		inline float getBluePercent() const { return m_charsSegment->getBluePercent(); }
-		inline void setWhitePercent(float param){ m_charsSegment->setWhitePercent(param); }
-		inline float getWhitePercent() const { return m_charsSegment->getWhitePercent(); }
+  inline float getWhitePercent() const {
+    return m_charsSegment->getWhitePercent();
+  }
 
-	private:
-		//！字符分割
-		CCharsSegment* m_charsSegment;
+ private:
+  //！字符分割
+  CCharsSegment* m_charsSegment;
 
-		//! 字符识别
-		CCharsIdentify* m_charsIdentify;
-	};
+  //! 字符识别
+  CCharsIdentify* m_charsIdentify;
+};
 
-}	/* \namespace easypr  */
+}  /* \namespace easypr  */
 
 #endif /* endif __CHARS_RECOGNISE_H__ */

include/easypr/chars_segment.h

@@ -12,7 +12,6 @@
 #ifndef __CHARS_SEGMENT_H__
 #define __CHARS_SEGMENT_H__
 
-#include "prep.h"
 #include "core_func.h"
 
 /*! \namespace easypr
@@ -20,78 +19,84 @@ Namespace where all the C++ EasyPR functionality resides
 */
 namespace easypr {
 
-	class CCharsSegment
-	{
-	public:
-		CCharsSegment();
+class CCharsSegment {
+ public:
+  CCharsSegment();
 
-		//! 字符分割
-		int charsSegment(Mat, vector<Mat>&);
+  //! 字符分割
+  int charsSegment(cv::Mat, std::vector<cv::Mat>&);
 
-		//! 字符尺寸验证
-		bool verifyCharSizes(Mat r);
+  //! 字符尺寸验证
+  bool verifyCharSizes(cv::Mat r);
 
-		//! 字符预处理
-		Mat preprocessChar(Mat in);
+  //! 字符预处理
+  cv::Mat preprocessChar(cv::Mat in);
 
-		//! 根据特殊车牌来构造猜测中文字符的位置和大小
-		Rect GetChineseRect(const Rect rectSpe);
+  //! 根据特殊车牌来构造猜测中文字符的位置和大小
+  cv::Rect GetChineseRect(const cv::Rect rectSpe);
 
-		//! 找出指示城市的字符的Rect，例如苏A7003X，就是A的位置
-		int GetSpecificRect(const vector<Rect>& vecRect);
+  //! 找出指示城市的字符的Rect，例如苏A7003X，就是A的位置
+  int GetSpecificRect(const std::vector<cv::Rect>& vecRect);
 
-		//! 这个函数做两个事情
-		//  1.把特殊字符Rect左边的全部Rect去掉，后面再重建中文字符的位置。
-		//  2.从特殊字符Rect开始，依次选择6个Rect，多余的舍去。
-		int RebuildRect(const vector<Rect>& vecRect, vector<Rect>& outRect, int specIndex);
+  //! 这个函数做两个事情
+  //  1.把特殊字符Rect左边的全部Rect去掉，后面再重建中文字符的位置。
+  //  2.从特殊字符Rect开始，依次选择6个Rect，多余的舍去。
+  int RebuildRect(const std::vector<cv::Rect>& vecRect,
+                  std::vector<cv::Rect>& outRect,
+                  int specIndex);
 
-		//! 将Rect按位置从左到右进行排序
-		int SortRect(const vector<Rect>& vecRect, vector<Rect>& out);
+  //! 将Rect按位置从左到右进行排序
+  int SortRect(const std::vector<cv::Rect>& vecRect,
+               std::vector<cv::Rect>& out);
 
-		//! 设置变量
-		inline void setLiuDingSize(int param){ m_LiuDingSize = param; }
-		inline void setColorThreshold(int param){ m_ColorThreshold = param; }
+  //! 设置变量
+  inline void setLiuDingSize(int param) { m_LiuDingSize = param; }
 
-		inline void setBluePercent(float param){ m_BluePercent = param; }
-		inline float getBluePercent() const { return m_BluePercent; }
-		inline void setWhitePercent(float param){ m_WhitePercent = param; }
-		inline float getWhitePercent() const { return m_WhitePercent; }
+  inline void setColorThreshold(int param) { m_ColorThreshold = param; }
 
-		//! 是否开启调试模式常量，默认0代表关闭
-		static const int DEFAULT_DEBUG = 1;
+  inline void setBluePercent(float param) { m_BluePercent = param; }
 
-		//! preprocessChar所用常量
-		static const int CHAR_SIZE = 20;
-		static const int HORIZONTAL = 1;
-		static const int VERTICAL = 0;
+  inline float getBluePercent() const { return m_BluePercent; }
 
-		//! preprocessChar所用常量
-		static const int DEFAULT_LIUDING_SIZE = 7;
-		static const int DEFAULT_MAT_WIDTH = 136;
-		static const int DEFAULT_COLORTHRESHOLD = 150;
+  inline void setWhitePercent(float param) { m_WhitePercent = param; }
 
-		//! 是否开启调试模式
-		inline void setDebug(int param){ m_debug = param; }
+  inline float getWhitePercent() const { return m_WhitePercent; }
 
-		//! 获取调试模式状态
-		inline int getDebug(){ return m_debug; }
+  //! 是否开启调试模式常量，默认0代表关闭
+  static const int DEFAULT_DEBUG = 1;
 
-	private:
-		//！柳钉判断参数
-		int m_LiuDingSize;
+  //! preprocessChar所用常量
+  static const int CHAR_SIZE = 20;
+  static const int HORIZONTAL = 1;
+  static const int VERTICAL = 0;
 
-		//！车牌大小参数
-		int m_theMatWidth;
+  //! preprocessChar所用常量
+  static const int DEFAULT_LIUDING_SIZE = 7;
+  static const int DEFAULT_MAT_WIDTH = 136;
+  static const int DEFAULT_COLORTHRESHOLD = 150;
 
-		//！车牌颜色判断参数
-		int m_ColorThreshold;
-		float m_BluePercent;
-		float m_WhitePercent;
+  //! 是否开启调试模式
+  inline void setDebug(int param) { m_debug = param; }
 
-		//! 是否开启调试模式，0关闭，非0开启
-		int m_debug;
-	};
+  //! 获取调试模式状态
+  inline int getDebug() { return m_debug; }
 
-}	/* \namespace easypr  */
+ private:
+  //！柳钉判断参数
+  int m_LiuDingSize;
+
+  //！车牌大小参数
+  int m_theMatWidth;
+
+  //！车牌颜色判断参数
+  int m_ColorThreshold;
+  float m_BluePercent;
+  float m_WhitePercent;
+
+  //! 是否开启调试模式，0关闭，非0开启
+  int m_debug;
+};
+
+}  /* \namespace easypr  */
 
 #endif /* endif __CHARS_SEGMENT_H__ */

include/easypr/core_func.h

@@ -1,9 +1,8 @@
 #ifndef __CORE_FUNC_H__
 #define __CORE_FUNC_H__
 
-/*! \namespace easypr
-Namespace where all the C++ EasyPR functionality resides
-*/
+#include <opencv2/opencv.hpp>
+
 namespace easypr {
 
 	enum Color{ BLUE, YELLOW };
@@ -11,35 +10,35 @@ namespace easypr {
 	//! 根据一幅图像与颜色模板获取对应的二值图
 	//! 输入RGB图像, 颜色模板（蓝色、黄色）
 	//! 输出灰度图（只有0和255两个值，255代表匹配，0代表不匹配）
-	Mat colorMatch(const Mat& src, Mat& match, const Color r, const bool adaptive_minsv);
+	cv::Mat colorMatch(const cv::Mat& src, cv::Mat& match, const Color r, const bool adaptive_minsv);
 
 	//! 判断一个车牌的颜色
 	//! 输入车牌mat与颜色模板
 	//! 返回true或fasle
-	bool plateColorJudge(const Mat&  src, const Color r, const bool adaptive_minsv);
+	bool plateColorJudge(const cv::Mat&  src, const Color r, const bool adaptive_minsv);
 
-	bool bFindLeftRightBound(Mat& bound_threshold,int& posLeft,int& posRight);
-	bool bFindLeftRightBound1(Mat& bound_threshold,int& posLeft,int& posRight);
-	bool bFindLeftRightBound2(Mat& bound_threshold,int& posLeft,int& posRight);
+	bool bFindLeftRightBound(cv::Mat& bound_threshold,int& posLeft,int& posRight);
+	bool bFindLeftRightBound1(cv::Mat& bound_threshold,int& posLeft,int& posRight);
+	bool bFindLeftRightBound2(cv::Mat& bound_threshold,int& posLeft,int& posRight);
 	
 	//去除车牌上方的钮钉
 	//计算每行元素的阶跃数，如果小于X认为是柳丁，将此行全部填0（涂黑）
 	//X的推荐值为，可根据实际调整
-	bool clearLiuDing(Mat& img);
-	void clearLiuDingOnly(Mat& img);
-	void clearLiuDing(Mat mask,int& top,int& bottom);
+	bool clearLiuDing(cv::Mat& img);
+	void clearLiuDingOnly(cv::Mat& img);
+	void clearLiuDing(cv::Mat mask,int& top,int& bottom);
 
 	//! 获得车牌颜色
-	Color getPlateType(const Mat&  src, const bool adaptive_minsv);
+	Color getPlateType(const cv::Mat&  src, const bool adaptive_minsv);
 
 	//! 直方图均衡
-	Mat histeq(Mat in);
-	Mat features(Mat in, int sizeData);
-	int ThresholdOtsu(Mat mat);
+	cv::Mat histeq(cv::Mat in);
+	cv::Mat features(cv::Mat in, int sizeData);
+	int ThresholdOtsu(cv::Mat mat);
 
 
 	// ！获取垂直和水平方向直方图
-	Mat ProjectedHistogram(Mat img, int t);
+	cv::Mat ProjectedHistogram(cv::Mat img, int t);
 
 }	/*! \namespace easypr*/
 

include/easypr/feature.h

@@ -1,9 +1,8 @@
 #ifndef __FEATURE_H__
 #define __FEATURE_H__
 
-/*! \namespace easypr
-    Namespace where all the C++ EasyPR functionality resides
-*/
+#include <opencv2/opencv.hpp>
+
 namespace easypr {
 
 	//! 获得车牌的特征数

include/easypr/plate.h

@@ -10,40 +10,40 @@
 #ifndef __PLATE_H__
 #define __PLATE_H__
 
-#include "prep.h"
+#include <opencv2/opencv.hpp>
 
-/*! \namespace easypr
-Namespace where all the C++ EasyPR functionality resides
-*/
 namespace easypr {
 
-	class CPlate
-	{
-	public:
-		bool bColored;
-		CPlate();
+class CPlate {
+ public:
+  bool bColored;
 
-		//! 设置与读取变量
-		inline void setPlateMat(Mat param){ m_plateMat = param; }
-		inline Mat getPlateMat() const{ return m_plateMat; }
+  CPlate();
 
-		inline void setPlatePos(RotatedRect param){ m_platePos = param; }
-		inline RotatedRect getPlatePos() const{ return m_platePos; }
+  //! 设置与读取变量
+  inline void setPlateMat(cv::Mat param) { m_plateMat = param; }
 
-		inline void setPlateStr(String param){ m_plateStr = param; }
-		inline String getPlateStr() const{ return m_plateStr; }
+  inline cv::Mat getPlateMat() const { return m_plateMat; }
 
-	private:
-		//! 车牌的图块
-		Mat m_plateMat;
+  inline void setPlatePos(cv::RotatedRect param) { m_platePos = param; }
 
-		//! 车牌在原图的位置
-		RotatedRect m_platePos;
+  inline cv::RotatedRect getPlatePos() const { return m_platePos; }
 
-		//! 车牌字符串
-		String m_plateStr;
-	};
+  inline void setPlateStr(std::string param) { m_plateStr = param; }
 
-}	/*! \namespace easypr*/
+  inline std::string getPlateStr() const { return m_plateStr; }
+
+ private:
+  //! 车牌的图块
+  cv::Mat m_plateMat;
+
+  //! 车牌在原图的位置
+  cv::RotatedRect m_platePos;
+
+  //! 车牌字符串
+  std::string m_plateStr;
+};
+
+}  /*! \namespace easypr*/
 
 #endif /* endif __PLATE_H__ */

include/easypr/plate_detect.h

@@ -13,76 +13,101 @@
 #ifndef __PLATE_DETECT_H__
 #define __PLATE_DETECT_H__
 
-#include "prep.h"
-
 #include "plate_locate.h"
 #include "plate_judge.h"
 
-
 /*! \namespace easypr
     Namespace where all the C++ EasyPR functionality resides
 */
 namespace easypr {
 
-class CPlateDetect
-{
-public:
-	CPlateDetect();
+class CPlateDetect {
+ public:
+  CPlateDetect();
+
+  //! 车牌检测：车牌定位与判断
+  int plateDetect(cv::Mat, std::vector<cv::Mat>&, int index = 0);
+
+  //! 深度车牌检测，使用颜色与二次Sobel法综合
+  int plateDetectDeep(cv::Mat src, std::vector<CPlate>& resultVec,
+                      bool showDetectArea = true, int index = 0);
+
+  int showResult(const cv::Mat& result);
+
+  //! 装载SVM模型
+  void LoadSVM(std::string s);
+
+  //! 生活模式与工业模式切换
+  inline void setPDLifemode(bool param) { m_plateLocate->setLifemode(param); }
+
+  //! 是否开启调试模式
+  inline void setPDDebug(int param) { m_plateLocate->setDebug(param); }
+
+  //! 获取调试模式状态
+  inline int getPDDebug() { return m_plateLocate->getDebug(); }
+
+  //! 设置与读取变量
+  inline void setGaussianBlurSize(int param) {
+    m_plateLocate->setGaussianBlurSize(param);
+  }
 
-	//! 车牌检测：车牌定位与判断
-	int plateDetect(Mat, vector<Mat>&, int index = 0);
+  inline int getGaussianBlurSize() const {
+    return m_plateLocate->getGaussianBlurSize();
+  }
 
-	//! 深度车牌检测，使用颜色与二次Sobel法综合
-	int plateDetectDeep(Mat src, vector<CPlate>& resultVec, bool showDetectArea = true, int index = 0);
+  inline void setMorphSizeWidth(int param) {
+    m_plateLocate->setMorphSizeWidth(param);
+  }
 
-	int showResult(const Mat& result);
+  inline int getMorphSizeWidth() const {
+    return m_plateLocate->getMorphSizeWidth();
+  }
 
-	//! 装载SVM模型
-	void LoadSVM(string s);
+  inline void setMorphSizeHeight(int param) {
+    m_plateLocate->setMorphSizeHeight(param);
+  }
 
-	//! 生活模式与工业模式切换
-	inline void setPDLifemode(bool param){m_plateLocate->setLifemode(param);}
+  inline int getMorphSizeHeight() const {
+    return m_plateLocate->getMorphSizeHeight();
+  }
 
-	//! 是否开启调试模式
-	inline void setPDDebug(int param){ m_plateLocate->setDebug(param);}
+  inline void setVerifyError(float param) {
+    m_plateLocate->setVerifyError(param);
+  }
 
-	//! 获取调试模式状态
-	inline int getPDDebug(){ return m_plateLocate->getDebug();}
+  inline float getVerifyError() const {
+    return m_plateLocate->getVerifyError();
+  }
 
-	//! 设置与读取变量
-	inline void setGaussianBlurSize(int param){	m_plateLocate->setGaussianBlurSize(param);}
-	inline int getGaussianBlurSize() const{	return m_plateLocate->getGaussianBlurSize();}
+  inline void setVerifyAspect(float param) {
+    m_plateLocate->setVerifyAspect(param);
+  }
 
-	inline void setMorphSizeWidth(int param){m_plateLocate->setMorphSizeWidth(param);}
-	inline int getMorphSizeWidth() const{return m_plateLocate->getMorphSizeWidth();}
+  inline float getVerifyAspect() const {
+    return m_plateLocate->getVerifyAspect();
+  }
 
-	inline void setMorphSizeHeight(int param){m_plateLocate->setMorphSizeHeight(param);}
-	inline int getMorphSizeHeight() const{return m_plateLocate->getMorphSizeHeight();}
+  inline void setVerifyMin(int param) { m_plateLocate->setVerifyMin(param); }
 
-	inline void setVerifyError(float param){m_plateLocate->setVerifyError(param);}
-	inline float getVerifyError() const { return m_plateLocate->getVerifyError();}
-	inline void setVerifyAspect(float param){m_plateLocate->setVerifyAspect(param);}
-	inline float getVerifyAspect() const { return m_plateLocate->getVerifyAspect();}
+  inline void setVerifyMax(int param) { m_plateLocate->setVerifyMax(param); }
 
-	inline void setVerifyMin(int param){m_plateLocate->setVerifyMin(param);}
-	inline void setVerifyMax(int param){m_plateLocate->setVerifyMax(param);}
+  inline void setJudgeAngle(int param) { m_plateLocate->setJudgeAngle(param); }
 
-	inline void setJudgeAngle(int param){m_plateLocate->setJudgeAngle(param);}
+  inline void setMaxPlates(float param) { m_maxPlates = param; }
 
-	inline void setMaxPlates(float param){ m_maxPlates = param; }
-	inline float getMaxPlates() const { return m_maxPlates; }
+  inline float getMaxPlates() const { return m_maxPlates; }
 
-private:
-	//! 设置一幅图中最多有多少车牌
-	int m_maxPlates;
+ private:
+  //! 设置一幅图中最多有多少车牌
+  int m_maxPlates;
 
-	//! 车牌定位
-	CPlateLocate* m_plateLocate;
+  //! 车牌定位
+  CPlateLocate* m_plateLocate;
 
-	//! 车牌判断
-	CPlateJudge* m_plateJudge;
+  //! 车牌判断
+  CPlateJudge* m_plateJudge;
 };
 
-}	/*! \namespace easypr*/
+}  /*! \namespace easypr*/
 
 #endif /* endif __PLATE_DETECT_H__ */

include/easypr/plate_judge.h

@@ -13,12 +13,10 @@
 #ifndef __PLATE_JUDGE_H__
 #define __PLATE_JUDGE_H__
 
-#include "prep.h"
 #include "plate.h"
 #include "feature.h"
 #include "core_func.h"
 
-
 /*! \namespace easypr
     Namespace where all the C++ EasyPR functionality resides
 */
@@ -29,16 +27,16 @@ class CPlateJudge {
   CPlateJudge();
 
   //! 对多幅车牌进行SVM判断
-  int plateJudge(const vector<CPlate>&, vector<CPlate>&);
+  int plateJudge(const std::vector<CPlate>&, std::vector<CPlate>&);
 
   //! 车牌判断
-  int plateJudge(const vector<Mat>&, vector<Mat>&);
+  int plateJudge(const std::vector<cv::Mat>&, std::vector<cv::Mat>&);
 
   //! 车牌判断（一副图像）
-  int plateJudge(const Mat& inMat, int& result);
+  int plateJudge(const cv::Mat& inMat, int& result);
 
   //! 直方图均衡
-  Mat histeq(Mat);
+  cv::Mat histeq(cv::Mat);
 
   //! 装载SVM模型
   void LoadModel(const char* model);

include/easypr/plate_recognize.h

@@ -12,8 +12,6 @@
 #ifndef __PLATE_RECOGNIZE_H__
 #define __PLATE_RECOGNIZE_H__
 
-#include "prep.h"
-
 #include "plate_detect.h"
 #include "chars_recognise.h"
 
@@ -27,7 +25,7 @@ class CPlateRecognize : public CPlateDetect, public CCharsRecognise {
   CPlateRecognize();
 
   //! 车牌检测与字符识别
-  int plateRecognize(Mat src, vector<string>& licenseVec);
+  int plateRecognize(cv::Mat src, std::vector<std::string>& licenseVec);
 
   //! 生活模式与工业模式切换
   inline void setLifemode(bool param) {

include/easypr/prep.h

@@ -1,35 +0,0 @@
-
-#ifndef __PREP_H__
-#define __PREP_H__
-
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/nonfree/features2d.hpp"
-#include "opencv/cvaux.h"
-
-#if defined (WIN32) || defined (_WIN32)
-#include <objbase.h>
-#endif
-
-#include <stdlib.h>
-#include <stdio.h>
-
-#if defined (WIN32) || defined (_WIN32)
-#include <io.h>
-#elif defined (linux) || defined (__linux__)
-
-#endif
-
-#include <iostream>
-#include <fstream>
-#include <assert.h>
-#include <algorithm>
-#include <cstdlib>
-#include <time.h>
-#include <math.h>
-
-using namespace std;
-using namespace cv;
-
-#endif
-/* endif __PREP_H__ */

include/easypr/svm_train.h

@@ -1,7 +1,3 @@
-//
-// Created by Micooz on 15/5/21.
-//
-
 #ifndef EASYPR_SVM_TRAIN_H
 #define EASYPR_SVM_TRAIN_H
 
@@ -14,29 +10,50 @@ namespace easypr {
 class Svm {
  public:
 
-  int train(bool dividePrepared = true, bool trainPrepared = true,
-            svmCallback getFeatures = getHistogramFeatures);
+  typedef enum {
+    kForward = 1, // correspond to "has plate"
+    kInverse = 0  // correspond to "no plate"
+  } Label;
 
-  void accuracy(cv::Mat& testingclasses_preditc, cv::Mat& testingclasses_real);
+  Svm(const char* forward_data_folder, const char* inverse_data_folder);
 
-  void getNoPlateTest(std::vector<cv::Mat>& testingImages,
-                      std::vector<int>& testingLabels);
+  void train(bool divide = true, bool train = true,
+            float divide_percentage = 0.7,
+            svmCallback getFeatures = getHistogramFeatures);
 
-  void getHasPlateTest(std::vector<cv::Mat>& testingImages,
-                       std::vector<int>& testingLabels);
+//  void getNoPlateTest(std::vector<cv::Mat>& testingImages,
+//                      std::vector<int>& testingLabels);
+//
+//  void getHasPlateTest(std::vector<cv::Mat>& testingImages,
+//                       std::vector<int>& testingLabels);
+//
+//  void getNoPlateTrain(cv::Mat& trainingImages,
+//                       std::vector<int>& trainingLabels,
+//                       svmCallback getFeatures = getHisteqFeatures);
+//
+//  void getHasPlateTrain(cv::Mat& trainingImages,
+//                        std::vector<int>& trainingLabels,
+//                        svmCallback getFeatures = getHisteqFeatures);
 
-  void getNoPlateTrain(cv::Mat& trainingImages,
-                       std::vector<int>& trainingLabels,
-                       svmCallback getFeatures = getHisteqFeatures);
+ private:
+  /*
+   * divide images into train part and test part by percentage
+   */
+  void divide(const char* images_folder, float percentage = 0.7);
 
-  void getHasPlateTrain(cv::Mat& trainingImages,
-                        std::vector<int>& trainingLabels,
-                        svmCallback getFeatures = getHisteqFeatures);
+  void get_train();
 
-  void learn2NoPlate(float bound = 0.7);
+  void get_test();
 
-  void learn2HasPlate(float bound = 0.7);
+  const char* forward_;
+  const char* inverse_;
 
+  // these two variables are used for cv::CvSVM::train_auto()
+  cv::Mat classes_;
+  cv::Mat trainingData_;
+  // these two variables are used for cv::CvSVM::predict()
+  std::vector<cv::Mat> test_imgaes_;
+  std::vector<Label> test_labels_;
 };
 
 

src/core/chars_recognise.cpp

@@ -3,61 +3,56 @@
 /*! \namespace easypr
 Namespace where all the C++ EasyPR functionality resides
 */
-namespace easypr{
-
-	CCharsRecognise::CCharsRecognise()
-	{
-		//cout << "CCharsRecognise" << endl;
-		m_charsSegment = new CCharsSegment();
-		m_charsIdentify = new CCharsIdentify();
-	}
-
-	void CCharsRecognise::LoadANN(string s)
-	{
-		m_charsIdentify->LoadModel(s.c_str());
-	}
-
-	string CCharsRecognise::charsRecognise(Mat plate)
-	{
-		return m_charsIdentify->charsIdentify(plate);
-	}
-	int CCharsRecognise::charsRecognise(Mat plate, string& plateLicense, int index)
-	{
-		//车牌字符方块集合
-		vector<Mat> matVec;
-
-		string plateIdentify = "";
-
-		int result = m_charsSegment->charsSegment(plate, matVec);
-		if (result == 0)
-		{
-			int num = matVec.size();
-			for (int j = 0; j < num; j++)
-			{
-				Mat charMat = matVec[j];
-				bool isChinses = false;
-				bool isSpeci=false;
-				//默认首个字符块是中文字符
-				if (j == 0)
-					isChinses = true;
-				if(j==1)
-					isSpeci=true;
-				string charcater = m_charsIdentify->charsIdentify(charMat, isChinses,isSpeci);
-
-				
-				
-				plateIdentify = plateIdentify + charcater;
-			}
-		}
-
-		plateLicense = plateIdentify;
-
-		if (plateLicense.size() < 7)
-		{
-			return -1;
-		}
-
-		return result;
-	}
-
-}	/*! \namespace easypr*/
+namespace easypr {
+
+CCharsRecognise::CCharsRecognise() {
+  //cout << "CCharsRecognise" << endl;
+  m_charsSegment = new CCharsSegment();
+  m_charsIdentify = new CCharsIdentify();
+}
+
+void CCharsRecognise::LoadANN(std::string s) {
+  m_charsIdentify->LoadModel(s.c_str());
+}
+
+std::string CCharsRecognise::charsRecognise(cv::Mat plate) {
+  return m_charsIdentify->charsIdentify(plate);
+}
+
+int CCharsRecognise::charsRecognise(cv::Mat plate, std::string& plateLicense,
+                                    int index) {
+  //车牌字符方块集合
+  std::vector<cv::Mat> matVec;
+
+  std::string plateIdentify = "";
+
+  int result = m_charsSegment->charsSegment(plate, matVec);
+  if (result == 0) {
+    size_t num = matVec.size();
+    for (int j = 0; j < num; j++) {
+      cv::Mat charMat = matVec[j];
+      bool isChinses = false;
+      bool isSpeci = false;
+      //默认首个字符块是中文字符
+      if (j == 0)
+        isChinses = true;
+      if (j == 1)
+        isSpeci = true;
+      std::string charcater = m_charsIdentify
+              ->charsIdentify(charMat, isChinses, isSpeci);
+
+
+      plateIdentify = plateIdentify + charcater;
+    }
+  }
+
+  plateLicense = plateIdentify;
+
+  if (plateLicense.size() < 7) {
+    return -1;
+  }
+
+  return result;
+}
+
+}  /*! \namespace easypr*/

src/core/chars_segment.cpp

@@ -4,6 +4,7 @@
 Namespace where all the C++ EasyPR functionality resides
 */
 namespace easypr{
+  using namespace cv;
 
 	const float DEFAULT_BLUEPERCEMT = 0.3;
 	const float	DEFAULT_WHITEPERCEMT = 0.1;
@@ -129,7 +130,7 @@ namespace easypr{
 		
 		if (m_debug)
 		{
-			stringstream ss(stringstream::in | stringstream::out);
+			std::stringstream ss(std::stringstream::in | std::stringstream::out);
 			ss << "tmp/debug_char_threshold" <<iTag<< ".jpg";
 			imwrite(ss.str(), img_threshold);
 		}
@@ -142,7 +143,7 @@ namespace easypr{
 
 		if (m_debug)
 		{
-			stringstream ss(stringstream::in | stringstream::out);
+			std::stringstream ss(std::stringstream::in | std::stringstream::out);
 			ss << "tmp/debug_char_clearLiuDing" <<iTag<< ".jpg";
 			imwrite(ss.str(), img_threshold);
 		}
@@ -197,7 +198,7 @@ namespace easypr{
 			if (specIndex < sortedRect.size())
 			{
 				Mat specMat(img_threshold, sortedRect[specIndex]);
-				stringstream ss(stringstream::in | stringstream::out);
+				std::stringstream ss(std::stringstream::in | std::stringstream::out);
 				ss << "tmp/debug_specMat" << ".jpg";
 				imwrite(ss.str(), specMat);
 			}
@@ -215,7 +216,7 @@ namespace easypr{
 		if (m_debug)
 		{
 			Mat chineseMat(img_threshold, chineseRect);
-			stringstream ss(stringstream::in | stringstream::out);
+			std::stringstream ss(std::stringstream::in | std::stringstream::out);
 			ss << "tmp/debug_chineseMat" << ".jpg";
 			imwrite(ss.str(), chineseMat);
 		}
@@ -242,7 +243,7 @@ namespace easypr{
 				auxRoi = preprocessChar(auxRoi);
 				if (m_debug)
 				{
-					stringstream ss(stringstream::in | stringstream::out);
+					std::stringstream ss(std::stringstream::in | std::stringstream::out);
 					ss << "tmp/debug_char_auxRoi_" << (i+staticIndex) << ".jpg";
 					imwrite(ss.str(), auxRoi);
 				}

src/core/feature.cpp

@@ -2,7 +2,6 @@
 // 所属命名空间为easypr
 // 这个部分中的特征由easypr的开发者修改
 
-#include "easypr/prep.h"
 #include "easypr/feature.h"
 #include "easypr/core_func.h"
 
@@ -11,80 +10,73 @@
 */
 namespace easypr {
 
-	//! 获取垂直和水平的直方图图值
-	Mat getTheFeatures(Mat in)
-	{
-		const int VERTICAL = 0;
-		const int HORIZONTAL = 1;
-
-		//Histogram features
-		Mat vhist = ProjectedHistogram(in, VERTICAL);
-		Mat hhist = ProjectedHistogram(in, HORIZONTAL);
-
-		//Last 10 is the number of moments components
-		int numCols = vhist.cols + hhist.cols;
-
-		Mat out = Mat::zeros(1, numCols, CV_32F);
-
-		//Asign values to feature,样本特征为水平、垂直直方图
-		int j = 0;
-		for (int i = 0; i<vhist.cols; i++)
-		{
-			out.at<float>(j) = vhist.at<float>(i);
-			j++;
-		}
-		for (int i = 0; i<hhist.cols; i++)
-		{
-			out.at<float>(j) = hhist.at<float>(i);
-			j++;
-		}
-
-		return out;
-	}
-
-
-	//! EasyPR的getFeatures回调函数
-	//! 本函数是生成直方图均衡特征的回调函数
-	void getHisteqFeatures(const Mat& image, Mat& features)
-	{
-		features = histeq(image);
-	}
-
-	//! EasyPR的getFeatures回调函数
-	//! 本函数是获取垂直和水平的直方图图值
-	void getHistogramFeatures(const Mat& image, Mat& features)
-	{
-		Mat grayImage;
-		cvtColor(image, grayImage, CV_RGB2GRAY);
-
-		//grayImage = histeq(grayImage);
-
-		Mat img_threshold;
-		threshold(grayImage, img_threshold, 0, 255, CV_THRESH_OTSU + CV_THRESH_BINARY);
-		features = getTheFeatures(img_threshold);
-	}
-
-
-	//! EasyPR的getFeatures回调函数
-	//! 本函数是获取SITF特征子
-	void getSIFTFeatures(const Mat& image, Mat& features)
-	{
-		//待完善
-	}
-
-
-	//! EasyPR的getFeatures回调函数
-	//! 本函数是获取HOG特征子
-	void getHOGFeatures(const Mat& image, Mat& features)
-	{
-		//待完善
-	}
-
-	//! EasyPR的getFeatures回调函数
-	//! 本函数是获取HSV空间量化的直方图特征子
-	void getHSVHistFeatures(const Mat& image, Mat& features)
-	{
-		//TODO
-	}
-
-}	/* \namespace easypr  */
+//! 获取垂直和水平的直方图图值
+cv::Mat getTheFeatures(cv::Mat in) {
+  const int VERTICAL = 0;
+  const int HORIZONTAL = 1;
+
+  //Histogram features
+  cv::Mat vhist = ProjectedHistogram(in, VERTICAL);
+  cv::Mat hhist = ProjectedHistogram(in, HORIZONTAL);
+
+  //Last 10 is the number of moments components
+  int numCols = vhist.cols + hhist.cols;
+
+  cv::Mat out = cv::Mat::zeros(1, numCols, CV_32F);
+
+  //Asign values to feature,样本特征为水平、垂直直方图
+  int j = 0;
+  for (int i = 0; i < vhist.cols; i++) {
+    out.at<float>(j) = vhist.at<float>(i);
+    j++;
+  }
+  for (int i = 0; i < hhist.cols; i++) {
+    out.at<float>(j) = hhist.at<float>(i);
+    j++;
+  }
+
+  return out;
+}
+
+
+//! EasyPR的getFeatures回调函数
+//! 本函数是生成直方图均衡特征的回调函数
+void getHisteqFeatures(const cv::Mat& image, cv::Mat& features) {
+  features = histeq(image);
+}
+
+//! EasyPR的getFeatures回调函数
+//! 本函数是获取垂直和水平的直方图图值
+void getHistogramFeatures(const cv::Mat& image, cv::Mat& features) {
+  cv::Mat grayImage;
+  cvtColor(image, grayImage, CV_RGB2GRAY);
+
+  //grayImage = histeq(grayImage);
+
+  cv::Mat img_threshold;
+  threshold(grayImage, img_threshold, 0, 255,
+            CV_THRESH_OTSU + CV_THRESH_BINARY);
+  features = getTheFeatures(img_threshold);
+}
+
+
+//! EasyPR的getFeatures回调函数
+//! 本函数是获取SITF特征子
+void getSIFTFeatures(const cv::Mat& image, cv::Mat& features) {
+  //待完善
+}
+
+
+//! EasyPR的getFeatures回调函数
+//! 本函数是获取HOG特征子
+void getHOGFeatures(const cv::Mat& image, cv::Mat& features) {
+  //待完善
+}
+
+//! EasyPR的getFeatures回调函数
+//! 本函数是获取HSV空间量化的直方图特征子
+void getHSVHistFeatures(const cv::Mat& image, cv::Mat& features) {
+  //TODO
+}
+
+}  /* \namespace easypr  */

src/core/plate_detect.cpp

@@ -5,6 +5,8 @@
 */
 namespace easypr {
 
+using namespace cv;
+
 CPlateDetect::CPlateDetect() {
   //cout << "CPlateDetect" << endl;
   m_plateLocate = new CPlateLocate();
@@ -34,7 +36,7 @@ int CPlateDetect::plateDetect(Mat src, vector<Mat>& resultVec, int index) {
     for (int i = 0; i < size; i++) {
       Mat img = resultVec[i];
       if (1) {
-        stringstream ss(stringstream::in | stringstream::out);
+        std::stringstream ss(std::stringstream::in | std::stringstream::out);
         ss << "tmp/plate_judge_result_" << i << ".jpg";
         imwrite(ss.str(), img);
       }

src/core/plate_judge.cpp

@@ -5,6 +5,8 @@
 */
 namespace easypr {
 
+using namespace cv;
+
 CPlateJudge::CPlateJudge()
         : m_getFeatures(getHistogramFeatures) {
 
@@ -47,7 +49,7 @@ int CPlateJudge::plateJudge(const Mat& inMat, int& result) {
   p.convertTo(p, CV_32FC1);
 
   float response = svm.predict(p);
-  result = (int)response;
+  result = (int) response;
 
   return 0;
 }

src/core/plate_locate.cpp

@@ -5,6 +5,9 @@
 */
 namespace easypr {
 
+using namespace cv;
+using namespace std;
+
 const float DEFAULT_ERROR = 0.6;
 //0.6
 const float DEFAULT_ASPECT = 3.75; //3.75 
@@ -51,7 +54,7 @@ void CPlateLocate::setLifemode(bool param) {
 
 
 //! 对minAreaRect获得的最小外接矩形，用纵横比进行判断
-bool CPlateLocate::verifySizes(RotatedRect mr) {
+bool CPlateLocate::verifySizes(cv::RotatedRect mr) {
   float error = m_error;
   //Spain car plate size: 52x11 aspect 4,7272
   //China car plate size: 440mm*140mm，aspect 3.142857

src/core/plate_recognize.cpp

@@ -5,6 +5,9 @@
 */
 namespace easypr {
 
+using namespace cv;
+using namespace std;
+
 CPlateRecognize::CPlateRecognize() {
 
 }

src/preprocess/general_test_prepare.cpp

@@ -7,6 +7,8 @@
 #include "easypr/feature.h"
 
 using namespace easypr;
+using namespace std;
+using namespace cv;
 
 extern const string GENERAL_TEST_PATH;
 

src/preprocess/mc_data.cpp

@@ -133,7 +133,7 @@ void tag_data(const char* source_folder, const char* has_plate_folder,
 
   size_t size = files.size();
   if (0 == size) {
-    cout << "No file found in " << source_folder << endl;
+    std::cout << "No file found in " << source_folder << std::endl;
     return;
   }
 

src/train/ann_train.cpp

@@ -19,14 +19,12 @@
 //#include <sys/io.h>
 #endif
 
-#include <stdlib.h>
-#include <stdio.h>
-
 #include "easypr/plate_recognize.h"
-#include "easypr/feature.h"
 #include "easypr/util.h"
 
 using namespace easypr;
+using namespace cv;
+using namespace std;
 
 #define HORIZONTAL    1
 #define VERTICAL    0
@@ -45,7 +43,7 @@ const int numCharacter = 34;
 
 //以下都是我训练时用到的中文字符数据，并不全面，有些省份没有训练数据所以没有字符
 //有些后面加数字2的表示在训练时常看到字符的一种变形，也作为训练数据存储
-const string strChinese[] = {
+const std::string strChinese[] = {
         "zh_cuan" /* 川 */, "zh_e" /* 鄂 */, "zh_gan" /* 赣*/, \
   "zh_gan1"/*甘*/, "zh_gui"/* 贵 */, "zh_gui1"/* 桂 */, \
   "zh_hei" /* 黑 */, "zh_hu" /* 沪 */, "zh_ji" /* 冀 */, \