\\code\\opencv\\face\\face\\face\\2.jpg";//测试图片doublescale=1.3;if(!cascade.load(cascadeName))//载入cascade文件{cerr<<"ERROR: Could not load classifier cascade"<<endl;return-1;}cv::VideoCapturecamera(CV_CAP_ANY);if(!camera.isOpened())return-1;// 得到帧率doublerate=camera.get(CV_...
confidence=detections[0,0,i,2]# filter out weak detectionsifconfidence>confidence_low:# 计算人脸边界框的 (x, y) 坐标box=detections[0,0,i,3:7]*np.array([w,h,w,h])(startX,startY,endX,endY)=box.astype("int")# 提取人脸ROIface=image[startY:endY,startX:endX](fH,fW)=face.shape[...
复制 //头文件#include<opencv2/objdetect/objdetect.hpp>#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>using namespace cv;//人脸检测的类CascadeClassifier faceCascade;intmain(){faceCascade.load("../data/haarcascade_frontalface_alt2.xml");//加载分类器,注意文件路径VideoCaptu...
cv2.COLOR_BGR2GRAY) # 3.实例化OpenCV自带的人脸识别的分类器 face_cas = cv2.CascadeCla...
window+VS+OpenCV编译libfacedetection库进行人脸检测 libfacedetection是一个基于CNN的人脸检测的开源库。libfacedetection库是深圳大学的于仕琪老师的开源人脸检测库,相比于OpenCV自带的CascadeClassifier人脸检测,无论在速度上还是精度上,都有巨大的优势,是目前已知开源库中最好用的一款。CNN模型已在C源文件中转换为stasti...
cv2.waitKey(1) & 0xFF44ifk == ord('s'):45cv2.imwrite("image/face2.jpg", img) //打开摄像头按下‘s’键即可保存图片46ifk == 27:47break4849cap.release()50cv2.destroyAllWindows()515253defupdate_img(file_dir, oneface=True): //上传图片到face++ 并返回face_id54url ='%s/detection/...
前段时间使用OpenCV的库函数实现了人脸检测和人脸识别,笔者的实验环境为VS2010+OpenCV2.4.4,OpenCV的环境配置网上有很多,不再赘述。检测的代码网上很多,记不清楚从哪儿copy的了,识别的代码是从OpenCV官网上找到的:http://docs.opencv.org/trunk/modules/contrib/doc/facerec/facerec_api.html ...
faceLandmarkDetection.cpp 代码语言:javascript 复制 1// Summary: 利用OpenCV的LBF算法进行人脸关键点检测2// Author: Amusi3// Date: 2018-03-204// Reference:5// [1]Tutorial: https://www.learnopencv.com/facemark-facial-landmark-detection-using-opencv/6// [2]Code: https://github.com/spmallic...
(2)对得到灰度图像可以进行检测,通过调用FaceDetection类中的人脸检测函数,检测出人脸区域并储存人脸区域的坐标,这样就可以得到尽量接近人脸的图像。将人脸数返回到整数类型nFaces,多个人脸时其值将会大于1。 (3)根据人眼检测模型对得到的人脸区域进行人眼对准。然后提出姿态端正的人脸。人脸分别存储到定义的CvMat矩阵中...
Performing Face detection in OpenCV using Haar Cascades Create a new fileface_det.pyand paste the following code [python]# OpenCV program to detect face in real time # import libraries of python OpenCV # where its functionality resides