基于人脸识别SDK实现usb摄像头实时人脸比对
1、在原有的SDK中FaceDetectVideo文件中.cpp文本中更改成以下程序#include <opencv2/opencv.hpp>
#include <iostream>
#include <string>
#ifdef _MS_VER
#ifdef _DEBUG
#pragma comment(lib, "opencv_core2413d.lib")
#pragma comment(lib, "opencv_highgui2413d.lib")
#pragma comment(lib, "opencv_imgproc2413d.lib")
#else
#pragma comment(lib, "opencv_core2413.lib")
#pragma comment(lib, "opencv_highgui2413.lib")
#pragma comment(lib, "opencv_imgproc2413.lib")
#endif
#endif
using namespace std;
using namespace cv;
#include "firefly_faceverify.h"
int CheckImageType(const unsigned char *image_data,
const rr_image_type image_type,
const int image_width,
const int image_height)
{
int cv_type = (int)rr_image_type::RR_IMAGE_MAX;
switch (image_type)
{
case rr_image_type::RR_IMAGE_BGR8UC3:
{
cv_type = CV_8UC3;
}
break;
case rr_image_type::RR_IMAGE_BGRA8UC4:
{
cv_type = CV_8UC4;
}
break;
case rr_image_type::RR_IMAGE_GRAY8UC1:
{
cv_type = CV_8UC1;
}
break;
default:
return RR_E_ILLEGAL_ARGUMENT;
}
//
cv::Mat img;
try
{
img = cv::Mat(cv::Size(image_width, image_height), cv_type, (void*)image_data).clone();
}
catch (cv::Exception& e)
{
if (e.code == CV_StsNoMem)
{
return RR_E_NO_MEMORY;
}
return RR_E_FAIL;
}
if (img.empty() == true)
{
return RR_E_FAIL;
}
cv::namedWindow("CheckImageType");
cv::imshow("CheckImageType", img);
cv::waitKey(0);
return RR_OK;
}
int FaceVerify(const rr_handle_t hDetector, const rr_handle_t hVerifier, char img_file[], char filename[], float* p_score)//第一步，尝试更改变量类型
{
int ret = 0;
#define FEATURE_LEN 256
float feature1 = { 0 };
float feature2 = { 0 };
int feature_len = FEATURE_LEN;
///
cv::Mat img;
rr_face_t* faces_array = NULL;
int faces_count = 0;
/// feature1
img = cv::imread(img_file);
ret = firefly_fd_detect_image(hDetector, img.data, RR_IMAGE_BGR8UC3, img.cols, img.rows, &faces_array, &faces_count);
if (ret != RR_OK)
{
printf("firefly_fd_detect_image() failed: %d\n", ret);
return -1;
}
if (faces_count == 0)
return -1;
ret = firefly_fv_extract_feature(hVerifier, img.data, RR_IMAGE_BGR8UC3, img.cols, img.rows, faces_array.landmarks, 5, feature1, FEATURE_LEN);
if (ret != RR_OK)
{
printf("firefly_fv_extract_feature() failed: %d\n", ret);
return -1;
}
firefly_fd_free_detect_result(faces_array);
/// feature2
img = cv::imread(filename);
ret = firefly_fd_detect_image(hDetector, img.data, RR_IMAGE_BGR8UC3, img.cols, img.rows, &faces_array, &faces_count);
if (ret != RR_OK)
{
printf("firefly_fd_detect_image() failed: %d\n", ret);
return -1;
}
if (faces_count == 0)
return -1;
ret = firefly_fv_extract_feature(hVerifier, img.data, RR_IMAGE_BGR8UC3, img.cols, img.rows, faces_array.landmarks, 5, feature2, FEATURE_LEN);
if (ret != RR_OK)
{
printf("firefly_fv_extract_feature() failed: %d\n", ret);
return -1;
}
firefly_fd_free_detect_result(faces_array);
///
float score = firefly_fv_compare_feature(feature1, feature2, feature_len);
*p_score = score;
return 0;
}
int faceverify()
{
char img_file;
sprintf(img_file, "test/test%d.jpg", 1);//保存命名图片：测试中可进行自己保存
// string img_file = "/home/sljt/data/openface/openface_sdk/samples/FaceDetectVideo/test/test1.jpg";
char filename;
float fScore = 0.0;
cv::Mat img;
int ret = 0;
string detect_model;
detect_model = "../../models";
string verify_model;
verify_model = "../../models";
///
rr_handle_t hDetector = NULL;
hDetector = firefly_fd_init_detector(detect_model.c_str(), RR_FD_VERSION);
if (hDetector == NULL)
{
printf("firefly_fd_init_detector() failed\n");
return -1;
}
rr_handle_t hVerifier = firefly_fv_init_verifier(verify_model.c_str());
if (hVerifier == NULL)
{
printf("firefly_fv_init_verifier() failed!\n");
return -1;
}
//测试图像，进行人脸对比
for(int i=0;i<4;i++)
{
sprintf(filename, "test-images/test%d.jpg", i);//保存命名图片：测试中可进行自己保存
ret = FaceVerify(hDetector, hVerifier, img_file, filename, &fScore);
if (ret == 0)
{
printf("verify: %s vs %s\n", img_file, filename);
if(fScore >= 0.85)
{
printf("score: %f\n", fScore);
printf("test%d\n",i);
img = cv::imread(filename);
break;
}
printf("loading...\n\n");
}
}
cv::namedWindow("test");
cv::imshow("test", img);
cv::waitKey(0);
firefly_fd_deinit_detector(hDetector);
firefly_fv_deinit_verifier(hVerifier);
printf("press ENTER to exit");
getchar();
return 0;
}
int copy_capture(cv::Mat frame,float x,float y,float w, float h)
{
if(!frame.data){printf("读取srcImage错误\n"); return false;}
printf(".........%d\n",*frame.data);
cv::Mat m_roi = frame(cv::Rect(x-10,y-10,w+30,h+30));
if(!m_roi.data){printf("读取srcImage错误\n"); return false;}
printf(".........%d\n",*m_roi.data);
cv::Mat img3 = m_roi.clone();
cv:: Mat G;
img3.copyTo(G);
if(!G.data){printf("读取logoImage错误\n"); return false;}
printf(".........%d\n",*G.data);
imwrite("/home/sljt/data/openface/openface_sdk/samples/FaceDetectVideo/test/test2.jpg",frame);
imwrite("/home/sljt/data/openface/openface_sdk/samples/FaceDetectVideo/test/test1.jpg",G);
}
int main()
{
int flag = 1;
string model_dir; // Ä£ÐÍÎļþ¼Ð
model_dir = "../../models";
int iFrame=0;
int ret = 0;
cv::VideoCapture capture;
rr_handle_t hDetector = NULL;
hDetector = firefly_fd_init_detector(model_dir.c_str(), RR_FD_VERSION);
if (hDetector == NULL)
{
printf("firefly_fd_init_detector() failed\n");
return -1;
}
capture.open(1);
while(flag)
{
cv::Mat frame;
ret = capture.read(frame);
iFrame++;
rr_face_t* faces_array = NULL;
int faces_count = 0;
// you could test image_data, image_type and show image, when you met image_type problem.
//if (CheckImageType(img.data, rr_image_type::RR_IMAGE_BGR8UC3, img.cols, img.rows) != RR_OK) printf("img data or type ERROR!\n");
ret = firefly_fd_detect_image(hDetector, frame.data, rr_image_type::RR_IMAGE_BGR8UC3, frame.cols, frame.rows, &faces_array, &faces_count);
if (ret != RR_OK)
{
printf("firefly_fd_detect_image() failed: %d\n", ret);
printf("press ENTER to continue");
getchar();
continue;
}
///
// frame #
string info = "# " + to_string(iFrame);
cv::Point ptText(100, 30);
putText(frame, info.c_str(), ptText, CV_FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(0, 0, 255), 1);
// draw faces rect and id
for (int i = 0; i<faces_count; i++)
{
float x = faces_array.rect.left;
float y = faces_array.rect.top;
float h = faces_array.rect.bottom - faces_array.rect.top + 1;
float w = faces_array.rect.right - faces_array.rect.left + 1;
cv::Point pt(faces_array.rect.left, faces_array.rect.top);
std::string strText = to_string(faces_array.id) + " " + to_string(faces_array.confidence);
printf("long double number:%f\n",faces_array.confidence);
float number=0.9999;
if(faces_array.confidence >= number && (*frame.data >= 200) )
{
copy_capture(frame,x,y,w,h);
flag = 0;
break;
}
putText(frame, strText.c_str(), pt, CV_FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(0, 0, 255), 1);
cv::rectangle(frame, cv::Rect(x, y, w, h), cv::Scalar(255, 0, 0), 2);
}
firefly_fd_free_detect_result(faces_array);
cv::namedWindow("video");
cv::imshow("video", frame);
cv::waitKey(1);
if(!cvGetWindowHandle("video"))
{
break;
}
}
faceverify();//人脸比对
capture.release();
firefly_fd_deinit_detector(hDetector);
return 0;
}
问题：占用CPU过大，可采用线程和数据结构解决
楼主，CPU占用率大概多少呢 xupeili2006 发表于 2019-1-16 21:54
楼主，CPU占用率大概多少呢
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