#include???
#include???
#include???
#include???
#include???
#include???
#include???

#define?PosSamNum?100????//正樣本個數(shù)??
#define?NegSamNum?100???//負樣本個數(shù)??

std::string?train_image_folder?=?“./“;
std::string?test_image_folder??=?“./“;

void?train（）{

	std::cout<<“start?traning...“<
	std::ifstream?train_pos_file（train_image_folder?+?“train/pos.lst“）;
	std::ifstream?train_neg_file（train_image_folder?+?“train/neg.lst“）;

	std::string?image_name;?//圖片路徑

	cv::Mat?src;

	//定義HOG檢測器
	int?descriptor_dim?=?0;
	//檢測窗口（64128）塊尺寸（1616）塊步長（88）cell尺寸（88）直方圖bin個數(shù)9?
	cv::HOGDescriptor?hog（cv::Size（64128）cv::Size（1616）cv::Size（88）cv::Size（88）9）;//HOG檢測器，用來計算HOG描述子的
	std::vector?descriptors;?//HOG描述子向量


	cv::Mat?sample_features;?//所有訓練樣本的特征向量組成的矩陣，行數(shù)等于所有樣本的個數(shù)，列數(shù)等于HOG描述子維數(shù)??
	cv::Mat?sample_labels;??//訓練樣本的類別向量，行數(shù)等于所有樣本的個數(shù)，列數(shù)等于1；1表示有人，-1表示無人??

	//獲取訓練數(shù)據(jù)的正樣本
	for（int?num=0;?num		image_name?=?train_image_folder?+?image_name;
		src?=?cv::imread（image_name0）;
????????
????????cv::resize（srcsrccv::Size（96160））;?//統(tǒng)一訓練格式

		if（src.empty（））{
			std::cout<<“no?image?in?pos?image?path:“<			exit（0）;
		}

		hog.compute（srcdescriptorscv::Size（88））;

		if（num==0）{
			std::cout<<“Init?feature?size...“<			descriptor_dim?=?descriptors.size（）;
			sample_features?=?cv::Mat::zeros（PosSamNum+NegSamNumdescriptor_dimCV_32FC1）;
			sample_labels???=?cv::Mat::zeros（PosSamNum+NegSamNum1CV_32SC1）;?//注意這里必須要32SC1不能用32FC1
		}

		for（int?i=0;iriptor_dim;i++）{
			sample_features.at（numi）?=?descriptors[i];
		}
		sample_labels.at（num0）?=?1;?//正樣本類別為1，有人

		std::cout<<“finish?Pos?“<
	}

	//獲取訓練數(shù)據(jù)的負樣本
	for（int?num=0;num		image_name?=?train_image_folder?+?image_name;
		src?=?cv::imread（image_name0）;
		if（src.empty（））{
			std::cout<<“no?image?in?neg?image?path...“<			exit（0）;
		}
		cv::resize（srcsrccv::Size（96160））;

		hog.compute（srcdescriptorscv::Size（88））;

		for（int?i=0;iriptor_dim;i++）{
			sample_features.at（num+PosSamNumi）?=?descriptors[i];
		}
		sample_labels.at（num+PosSamNum0）?=?-1;?//正樣本類別為-1，沒有人

		std::cout<<“finish?Neg?“<	}


	//訓練SVM分類器
	std::cout<<“start?svm?training...“<	cv::Ptr?svm?=?cv::ml::SVM::create（）;
	svm->setType（cv::ml::SVM::C_SVC）;
	svm->setKernel（cv::ml::SVM::LINEAR）;
	svm->setTermCriteria（cv::TermCriteria（cv::TermCriteria::MAX_ITER?100?1e-6））;	
	svm->train（sample_featurescv::ml::ROW_SAMPLEsample_labels）;

	//保存SVM分類器
	std::cout<<“start?saving?svm?file...“<	svm->save（“test_svm.xml“）;

	std::cout<<“finish?training...“<	return;
}

void?test（std::string?test_im

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2017-03-05?14:05??Pedestrian?recognition\
?????文件??????493420??2017-03-05?10:12??Pedestrian?recognition\gcc_commands.docx
?????文件????????4799??2017-03-05?10:05??Pedestrian?recognition\test_svm.cpp
?????目錄???????????0??2017-03-05?14:05??Pedestrian?recognition\train\
?????目錄???????????0??2017-03-05?14:05??Pedestrian?recognition\train\neg\
?????文件???????34982??2017-03-05?10:31??Pedestrian?recognition\train\neg.lst
?????文件???????75789??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000002a.png
?????文件??????125260??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000003a.png
?????文件???????99005??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000004a.png
?????文件???????85053??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000005a.png
?????文件??????117914??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000006a.png
?????文件??????167692??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000010a.png
?????文件??????161229??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000011a.png
?????文件???????97190??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000012a.png
?????文件??????167631??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000014a.png
?????文件??????144751??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000015a.png
?????文件??????141506??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000030a.png
?????文件??????121766??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000033a.png
?????文件??????130510??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000051a.png
?????文件???????86046??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000052a.png
?????文件??????106541??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000053a.png
?????文件??????120286??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000054a.png
?????文件???????78707??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000055a.png
?????文件??????130531??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000056a.png
?????文件??????124379??2017-03-05?10:33??Pedestrian?recognition\train\neg\00000057a.png
?????文件??????154481??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000058a.png
?????文件??????143847??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000060a.png
?????文件??????136301??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000061a.png
?????文件??????126152??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000062a.png
?????文件??????151182??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000068a.png
?????文件???????94886??2017-03-05?10:32??Pedestrian?recognition\train\neg\00000070a.png
............此處省略198個文件信息