#include?
#include?
#define?USE_OPENCV
#ifdef?USE_OPENCV
#include?
#include?
#include?
#endif??//?USE_OPENCV
#include?
#include?
#include?
#include?
#include?
#include?
#include
#include?“featureExtract.h“
#ifdef?USE_OPENCV
#define?CPU_ONLY
using?namespace?caffe;??//?NOLINT（build/namespaces）
using?std::string;
using?namespace?std;
using?namespace?cv;
/*?Pair?（label?confidence）?representing?a?prediction.?*/
typedef?std::pair?Prediction;

float?mycosine（float*?arrayAfloat*?arrayBint?length）{
????if（!arrayA||!arrayB）?return?0;
????double?sumarrayA=0sumarrayB=0;
????double?cosine=0;
????for（int?i=0;i????????sumarrayA+=arrayA[i]*arrayA[i];
????????sumarrayB+=arrayB[i]*arrayB[i];
????????cosine+=arrayA[i]*arrayB[i];
????}
????sumarrayA=sqrt（sumarrayA）;
????sumarrayB=sqrt（sumarrayB）;
????if（（sumarrayA-0<0.0001）||（sumarrayB-0<0.0001））{
????????return?0;
????}
????cosine/=（sumarrayA*sumarrayB）;
//??cout<????return?cosine;
}

FeatureExtract::FeatureExtract（const?string&?model_file
???????????????????????const?string&?trained_file）?{
#ifdef?CPU_ONLY
??Caffe::set_mode（Caffe::CPU）;
#else
??Caffe::set_mode（Caffe::GPU）;
#endif
	net_lock?=?PTHREAD_MUTEX_INITIALIZER;
??/*?Load?the?network.?*/
??net_.reset（new?Net（model_file?TEST））;
??net_->CopyTrainedlayersFrom（trained_file）;
??

??CHECK_EQ（net_->num_inputs（）?1）?<??CHECK_EQ（net_->num_outputs（）?1）?<
?
?Blob*?input_layer?=?net_->input_blobs（）[0];
??num_channels_?=?input_layer->channels（）;
??CHECK（num_channels_?==?3?||?num_channels_?==?1）
????<yer?should?have?1?or?3?channels.“;
??input_geometry_?=?cv::Size（input_layer->width（）?input_layer->height（））;
??/*?Load?the?binaryproto?mean?file.?*/
??//SetMean（mean_file）;

??/*?Load?labels.?*/
?/*?std::ifstream?labels（label_file.c_str（））;
??CHECK（labels）?<??string?line;
??while?（std::getline（labels?line））
????labels_.push_back（string（line））;
*/
??Blob*?output_layer?=?net_->output_blobs（）[0];
??//CHECK_EQ（labels_.size（）?output_layer->channels（））
????//<yer?dimension.“;
}

int??FeatureExtract::extractFeature（cv::Mat?imgfloat?&cnt）?
{
cout<<“start?extract!“<	clock_t?t0?=?clock（）;
	//std::vector?vec_data（img.begin（）?img.end（））;?
?	//cv::Mat?testMat?=cv::imdecode（vec_data?1）;
	cv::Mat?result;
	img.convertTo（result?CV_32FC3）;
	//cv::Mat?result2;
	//transpose（resultresult2）;
	
	//cv::Mat?result3;
	//flip（imgresult31）;

	float?f1[512]={0}f2[512]={0};
	//pthread_mutex_lock?（&net_lock）;
	Blob*?input_layer?=?net_->input_blobs（）[0];	
??input_layer->Reshape（1?num_channels_
?????????????????????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件?????????818??2018-08-03?01:16??extracttest\Makefile
?????文件????91915666??2018-08-02?12:55??extracttest\ShanghaiTech_part_B.caffemodel
?????文件??????631144??2018-08-24?09:32??extracttest\Vulture_Server
?????文件????????9900??2018-08-24?09:26??extracttest\deploy.prototxt
?????文件????????8476??2018-08-24?09:32??extracttest\featureExtract.cpp
?????文件????????1417??2018-08-24?03:30??extracttest\featureExtract.h
?????文件?????1036880??2018-08-24?09:32??extracttest\featureExtract.o
?????目錄???????????0??2019-12-04?21:44??extracttest\