优化了测试过程，新增了测试数据集，更新了发布版本

resources/image/native_test/GroundTruth_windows.xml

@@ -571,7 +571,7 @@
 	<image>
 		<imageName>ÍîA30123</imageName>
 		<taggedRectangles>
-			<taggedRectangle x="292" y="1437" width="98" height="26" rotation="1" locateType="1">À¶ÅÆ:ÍîA30123</taggedRectangle>
+			<taggedRectangle x="292" y="1437" width="26" height="98" rotation="-89" locateType="1">À¶ÅÆ:ÍîA30123</taggedRectangle>
 		</taggedRectangles>
 	</image>
 	<image>

resources/result/Result.xml

@@ -1,2 +1,27 @@
 <?xml version="1.0" encoding="ISO-8859-1"?>
-<tagset/>
+<tagset>
+	<image>
+		<imageName>test1</imageName>
+		<taggedRectangles>
+			<taggedRectangle x="170" y="184" width="96" height="27" rotation="-1">À¶ÅÆ:ËÕA88888</taggedRectangle>
+		</taggedRectangles>
+	</image>
+	<image>
+		<imageName>test2</imageName>
+		<taggedRectangles>
+			<taggedRectangle x="220" y="207" width="87" height="26" rotation="0">À¶ÅÆ:ËÕA88888</taggedRectangle>
+		</taggedRectangles>
+	</image>
+	<image>
+		<imageName>test3</imageName>
+		<taggedRectangles>
+			<taggedRectangle x="222" y="214" width="113" height="39" rotation="-1">À¶ÅÆ:ËÕA88888</taggedRectangle>
+		</taggedRectangles>
+	</image>
+	<image>
+		<imageName>test4</imageName>
+		<taggedRectangles>
+			<taggedRectangle x="357" y="251" width="118" height="29" rotation="-48">À¶ÅÆ:ËÕA88888</taggedRectangle>
+		</taggedRectangles>
+	</image>
+</tagset>

resources/result/accuracy.txt

@@ -3288,3 +3288,23 @@ Recall:85.1281%, Precise:80.5653%, Fscore:82.7839%.
 Recall:0%, Precise:0%, Fscore:0%.
 0-error:0%,  1-error:0%,  Chinese-precise:0%  
 总共时间: 0秒,  平均执行时间:-nan(ind)秒
+2020-08-13 22:06:56
+总图片数:4,  Plates count:0,  未定位车牌:0,  检出率:-nan(ind)%  
+Recall:0%, Precise:0%, Fscore:0%.
+0-error:0%,  1-error:0%,  Chinese-precise:0%  
+总共时间: 183秒,  平均执行时间:45.75秒
+2020-08-13 22:15:40
+总图片数:4,  Plates count:0,  未定位车牌:0,  检出率:-nan(ind)%  
+Recall:0%, Precise:0%, Fscore:0%.
+0-error:0%,  1-error:0%,  Chinese-precise:0%  
+总共时间: 241秒,  平均执行时间:60.25秒
+2020-08-13 22:23:51
+总图片数:4,  Plates count:0,  未定位车牌:0,  检出率:-nan(ind)%  
+Recall:0%, Precise:0%, Fscore:0%.
+0-error:0%,  1-error:0%,  Chinese-precise:0%  
+总共时间: 72秒,  平均执行时间:18秒
+2020-08-13 22:31:30
+总图片数:4,  Plates count:4,  未定位车牌:4,  检出率:0%  
+Recall:6.41626%, Precise:2.92711%, Fscore:4.0202%.
+0-error:0%,  1-error:0%,  Chinese-precise:0%  
+总共时间: 84秒,  平均执行时间:21秒

src/core/plate_judge.cpp

@@ -49,7 +49,7 @@ namespace easypr {
     // score is the distance of margin，below zero is plate, up is not
     // when score is below zero, the samll the value, the more possibliy to be a plate.
     plate.setPlateScore(score);
-    if (score < 0.5) return 0;
+    if (score < 0.5 && score > 0) return 0;
     else return -1;      
   }
 

src/core/plate_locate.cpp

@@ -125,7 +125,7 @@ int CPlateLocate::colorSearch(const Mat &src, const Color r, Mat &out,
   const int color_morph_width = 10;
   const int color_morph_height = 2;
 
-  colorMatch(src, match_grey, r, false);
+  colorMatch(src, match_grey, r, true);
   SHOW_IMAGE(match_grey, 1);
 
   Mat src_threshold;

src/core/plate_recognize.cpp

@@ -25,6 +25,9 @@ int CPlateRecognize::plateRecognize(const Mat& src, std::vector<CPlate> &plateVe
     for (size_t j = 0; j < num; j++) {
       CPlate& item = plateVec.at(j);
       Mat plateMat = item.getPlateMat();
+      int w = plateMat.cols;
+      int h = plateMat.rows;
+      Mat tmpMat = plateMat(Rect_<double>(w * 0.1, h * 0.1, w * 0.8, h * 0.8));
       SHOW_IMAGE(plateMat, 0);
 	  if (1) {
           namedWindow("Detect_plate", 0);
@@ -41,7 +44,7 @@ int CPlateRecognize::plateRecognize(const Mat& src, std::vector<CPlate> &plateVe
       // get plate color
       Color color = item.getPlateColor();
       if (color == UNKNOWN) {
-        color = getPlateType(plateMat, true);
+        color = getPlateType(tmpMat, true);
         item.setPlateColor(color);
       }
       std::string plateColor = getPlateColor(color);

src/util/kv.cpp

@@ -1,6 +1,5 @@
 #include "easypr/util/kv.h"
 #include "easypr/util/util.h"
-
 namespace easypr {
 
 Kv::Kv() { }
@@ -9,7 +8,6 @@ void Kv::load(const std::string &file) {
   this->clear();
   std::ifstream reader(file);
   assert(reader);
-
   if (reader.is_open()) {
     while (!reader.eof()) {
       std::string line;

test/accuracy.hpp

@@ -107,9 +107,9 @@ namespace easypr {
 
       // set the parameters of CPlateRecognize
       CPlateRecognize pr;
-      pr.setResultShow(false);
+      pr.setResultShow(true);
       pr.setLifemode(true);
-      pr.setDetectType(PR_DETECT_COLOR | PR_DETECT_CMSER);
+      pr.setDetectType(PR_DETECT_COLOR | PR_DETECT_SOBEL);
       pr.setMaxPlates(4);
 
       // load the maching learning model

test/chars.hpp

@@ -75,8 +75,16 @@ int test_chars_identify() {
 
 int test_chars_recognise() {
   std::cout << "test_chars_recognise" << std::endl;
+  string in;
+  cout << "please input picture name:" << endl;
+  cin >> in;
 
-  cv::Mat src = cv::imread("resources/image/new_car.jpg");
+  cv::Mat src = cv::imread("resources/image/"+in);
+  if (src.empty())
+  {
+      cout << "picture not exeist!" << endl;
+      return 0;
+  }
   CCharsRecognise cr;
   std::string plateLicense = "";
   int result = cr.charsRecognise(src, plateLicense);

test/main.cpp

@@ -4,7 +4,8 @@
 #include "accuracy.hpp"
 #include "chars.hpp"
 #include "plate.hpp"
-
+#include<iostream>
+#include<direct.h>
 // %OPENCV%\x86\vc12\lib opencv_world300d.lib;
 
 namespace easypr {
@@ -117,8 +118,7 @@ int trainChineseMain() {
 
 int testMain() {
   std::shared_ptr<easypr::Kv> kv(new easypr::Kv);
-  kv->load("resources/text/chinese_mapping");
-
+  kv->load("./resources/text/chinese_mapping");
   bool isExit = false;
   while (!isExit) {
     Utils::print_file_lines("resources/text/test_menu");
@@ -413,7 +413,7 @@ void command_line_handler(int argc, const char* argv[]) {
 }
 
 int main(int argc, const char* argv[]) {
-  std::shared_ptr<easypr::Kv> kv(new easypr::Kv);
+ std::shared_ptr<easypr::Kv> kv(new easypr::Kv);
   kv->load("./resources/text/chinese_mapping");
   if (argc > 1) {
     // handle command line execution.

vcprojs/demo.vcxproj

@@ -151,17 +151,17 @@
       <FunctionLevelLinking>true</FunctionLevelLinking>
       <IntrinsicFunctions>true</IntrinsicFunctions>
       <PreprocessorDefinitions>WIN32;NDEBUG;_CONSOLE;_LIB;%(PreprocessorDefinitions)</PreprocessorDefinitions>
-      <AdditionalIncludeDirectories>$(SolutionDir)include</AdditionalIncludeDirectories>
+      <AdditionalIncludeDirectories>F:\OpenCV\opencv\build\include;$(SolutionDir)include</AdditionalIncludeDirectories>
       <DisableSpecificWarnings>4819</DisableSpecificWarnings>
-      <RuntimeLibrary>MultiThreaded</RuntimeLibrary>
+      <RuntimeLibrary>MultiThreadedDLL</RuntimeLibrary>
     </ClCompile>
     <Link>
       <SubSystem>Console</SubSystem>
       <GenerateDebugInformation>true</GenerateDebugInformation>
       <EnableCOMDATFolding>true</EnableCOMDATFolding>
       <OptimizeReferences>true</OptimizeReferences>
-      <AdditionalLibraryDirectories>$(SolutionDir)lib;</AdditionalLibraryDirectories>
-      <AdditionalDependencies>libopencv_mini64.lib;%(AdditionalDependencies)</AdditionalDependencies>
+      <AdditionalLibraryDirectories>F:\OpenCV\opencv\build\x64\vc15\lib</AdditionalLibraryDirectories>
+      <AdditionalDependencies>opencv_world346.lib;%(AdditionalDependencies)</AdditionalDependencies>
     </Link>
   </ItemDefinitionGroup>
   <ItemGroup>

vcprojs/libeasypr.vcxproj

@@ -136,7 +136,7 @@
       <FunctionLevelLinking>true</FunctionLevelLinking>
       <IntrinsicFunctions>true</IntrinsicFunctions>
       <SDLCheck>true</SDLCheck>
-      <AdditionalIncludeDirectories>C:\Users\Micooz\Documents\opencv3\build\include;$(SolutionDir)include</AdditionalIncludeDirectories>
+      <AdditionalIncludeDirectories>F:\OpenCV\opencv\build\include;$(SolutionDir)include</AdditionalIncludeDirectories>
       <DisableSpecificWarnings>
       </DisableSpecificWarnings>
       <PreprocessorDefinitions>_CRT_SECURE_NO_WARNINGS;%(PreprocessorDefinitions)</PreprocessorDefinitions>