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add version.h

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v1.6alpha
liuruoze 10 years ago
parent 902a02f884
commit ea5ee79cf2
9 changed files with 95 additions and 31 deletions
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16
accuracy.txt
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@ -1489,3 +1489,19 @@
总图片数:200, 未识出图片:7, 定位率:96.5%
平均字符差距:0.678756, 完全匹配数:133, 完全匹配率:68.9119%
总时间:195秒, 平均执行时间:0.975秒
2016-06-14 07:48:35
总图片数:200, 未识出图片:7, 定位率:96.5%
平均字符差距:0.689119, 完全匹配数:132, 完全匹配率:68.3938%
总时间:182秒, 平均执行时间:0.91秒
2016-06-14 07:58:05
总图片数:200, 未识出图片:10, 定位率:95%
平均字符差距:1.11053, 完全匹配数:117, 完全匹配率:61.5789%
总时间:182秒, 平均执行时间:0.91秒
2016-06-14 08:04:41
总图片数:200, 未识出图片:7, 定位率:96.5%
平均字符差距:0.689119, 完全匹配数:132, 完全匹配率:68.3938%
总时间:189秒, 平均执行时间:0.945秒
2016-06-14 08:13:28
总图片数:200, 未识出图片:7, 定位率:96.5%
平均字符差距:0.689119, 完全匹配数:132, 完全匹配率:68.3938%
总时间:187秒, 平均执行时间:0.935秒

2
include/easypr/core/plate_judge.h
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@ -23,7 +23,7 @@ class PlateJudge {
//! 车牌判断（一副图像）
int plateJudge(const Mat &inMat, int &result);
int plateScore(CPlate& plate);
int plateSetScore(CPlate& plate);
private:
PlateJudge();

36
result/Result.xml
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@ -127,8 +127,8 @@
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@ -295,7 +295,7 @@
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@ -379,8 +379,8 @@
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@ -394,7 +394,8 @@
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@ -440,6 +441,7 @@
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@ -447,7 +449,6 @@
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@ -455,7 +456,7 @@
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@ -524,7 +525,6 @@
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@ -682,7 +682,7 @@
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32
src/core/plate_judge.cpp
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@ -44,7 +44,7 @@ int PlateJudge::plateJudge(const std::vector<Mat> &inVec,
//! 设置车牌图像的置信度
//! 返回值，0代表是车牌，其他值代表不是
int PlateJudge::plateScore(CPlate& plate) {
int PlateJudge::plateSetScore(CPlate& plate) {
Mat features;
getHistogramFeatures(plate.getPlateMat(), features);
@ -68,11 +68,13 @@ int PlateJudge::plateScore(CPlate& plate) {
//! 非极大值抑制
void NMS(std::vector<CPlate> &inVec, std::vector<CPlate> &resultVec, double overlap) {
std::sort(inVec.begin(), inVec.end());
std::vector<CPlate>::iterator it = inVec.begin();
for (; it != inVec.end(); ++it) {
CPlate plateSrc = *it;
//std::cout << "plateScore:" << plateSrc.getPlateScore() << std::endl;
Rect rectSrc = plateSrc.getPlatePos().boundingRect();
std::vector<CPlate>::iterator itc = it + 1;
@ -102,12 +104,30 @@ int PlateJudge::plateJudgeUsingNMS(const std::vector<CPlate> &inVec, std::vector
for (int j = 0; j < num; j++) {
CPlate plate = inVec[j];
Mat inMat = plate.getPlateMat();
int response = plateSetScore(plate);
if (response == 0) {
plateVec.push_back(plate);
}
else {
int w = inMat.cols;
int h = inMat.rows;
//再取中间部分判断一次
int result = plateScore(plate);
plateVec.push_back(plate);
//if (result == 0) {
// plateVec.push_back(plate);
//}
Mat tmpmat = inMat(Rect_<double>(w * 0.05, h * 0.1, w * 0.9, h * 0.8));
Mat tmpDes = inMat.clone();
resize(tmpmat, tmpDes, Size(inMat.size()));
plate.setPlateMat(tmpDes);
int responseCascade = plateSetScore(plate);
if (responseCascade == 0) {
plateVec.push_back(plate);
}
}
}
// 使用非极大值抑制来去除那些重叠的车牌

10
src/train/svm_train.cpp
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@ -33,11 +33,11 @@ void SvmTrain::train() {
fprintf(stdout, ">> Training SVM model, please wait...\n");
long start = utils::getTimestamp();
svm_->trainAuto(train_data, 10, SVM::getDefaultGrid(SVM::C),
SVM::getDefaultGrid(SVM::GAMMA), SVM::getDefaultGrid(SVM::P),
SVM::getDefaultGrid(SVM::NU), SVM::getDefaultGrid(SVM::COEF),
SVM::getDefaultGrid(SVM::DEGREE), true);
//svm_->train(train_data);
//svm_->trainAuto(train_data, 10, SVM::getDefaultGrid(SVM::C),
// SVM::getDefaultGrid(SVM::GAMMA), SVM::getDefaultGrid(SVM::P),
// SVM::getDefaultGrid(SVM::NU), SVM::getDefaultGrid(SVM::COEF),
// SVM::getDefaultGrid(SVM::DEGREE), true);
svm_->train(train_data);
long end = utils::getTimestamp();
fprintf(stdout, ">> Training done. Time elapse: %ldms\n", end - start);

2
test/chars.hpp
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@ -39,7 +39,7 @@ int test_chars_identify() {
int result = cs.charsSegment(plate, matChars);
if (result == 0) {
for (int block_i = 0; block_i < matChars.size(); block_i++) {
for (size_t block_i = 0; block_i < matChars.size(); block_i++) {
auto block = matChars[block_i];
if (block_i == 0) {
auto character = CharsIdentify::instance()->identify(block, true);

1
vcprojs/libeasypr.vcxproj
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@ -191,6 +191,7 @@
<ClInclude Include="..\include\easypr\util\switch.hpp" />
<ClInclude Include="..\include\easypr\util\util.h" />
<ClInclude Include="..\include\text\erfilter.hpp" />
<ClInclude Include="version.h" />
</ItemGroup>
<ItemGroup>
<None Include="..\LICENSE" />

3
vcprojs/libeasypr.vcxproj.filters
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@ -188,6 +188,9 @@
<ClInclude Include="..\include\text\erfilter.hpp">
<Filter>头文件\text</Filter>
</ClInclude>
<ClInclude Include="version.h">
<Filter>头文件\easypr</Filter>
</ClInclude>
</ItemGroup>
<ItemGroup>
<None Include="..\LICENSE" />

24
vcprojs/version.h
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@ -0,0 +1,24 @@
#include <opencv2/opencv.hpp>
#define CV_VERSION_ID CVAUX_STR(CV_MAJOR_VERSION) CVAUX_STR(CV_MINOR_VERSION) CVAUX_STR(CV_SUBMINOR_VERSION)
#ifdef _DEBUG
#define cvLIB(name) "opencv_" name CV_VERSION_ID "d"
#else
#define cvLIB(name) "opencv_" name CV_VERSION_ID
#endif
#pragma comment( lib, cvLIB("core") )
#pragma comment( lib, cvLIB("imgproc") )
#pragma comment( lib, cvLIB("highgui") )
#pragma comment( lib, cvLIB("flann") )
#pragma comment( lib, cvLIB("features2d") )
#pragma comment( lib, cvLIB("calib3d") )
#pragma comment( lib, cvLIB("gpu") )
#pragma comment( lib, cvLIB("legacy") )
#pragma comment( lib, cvLIB("ml") )
#pragma comment( lib, cvLIB("objdetect") )
#pragma comment( lib, cvLIB("ts") )
#pragma comment( lib, cvLIB("video") )
#pragma comment( lib, cvLIB("contrib") )
#pragma comment( lib, cvLIB("nonfree") )
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