python实现图片，视频人脸识别(opencv版)

2023-07-11 12:28:03 311

importcv2 filepath="img/xingye-1.png" img=cv2.imread(filepath)#读取图片 gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)#转换灰色 #OpenCV人脸识别分类器 classifier=cv2.CascadeClassifier( "C:\Python36\Lib\site-packages\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml" ) color=(0,255,0)#定义绘制颜色 #调用识别人脸 faceRects=classifier.detectMultiScale( gray,scaleFactor=1.2,minNeighbors=3,minSize=(32,32)) iflen(faceRects):#大于0则检测到人脸 forfaceRectinfaceRects:#单独框出每一张人脸 x,y,w,h=faceRect #框出人脸 cv2.rectangle(img,(x,y),(x+h,y+w),color,2) #左眼 cv2.circle(img,(x+w//4,y+h//4+30),min(w//8,h//8), color) #右眼 cv2.circle(img,(x+3*w//4,y+h//4+30),min(w//8,h//8), color) #嘴巴 cv2.rectangle(img,(x+3*w//8,y+3*h//4), (x+5*w//8,y+7*h//8),color) cv2.imshow("image",img)#显示图像 c=cv2.waitKey(10) cv2.waitKey(0) cv2.destroyAllWindows()

#-*-coding:utf-8-*- #OpenCV版本的视频检测 importcv2 #图片识别方法封装 defdiscern(img): gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) cap=cv2.CascadeClassifier( "C:\Python36\Lib\site-packages\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml" ) faceRects=cap.detectMultiScale( gray,scaleFactor=1.2,minNeighbors=3,minSize=(50,50)) iflen(faceRects): forfaceRectinfaceRects: x,y,w,h=faceRect cv2.rectangle(img,(x,y),(x+h,y+w),(0,255,0),2)#框出人脸 cv2.imshow("Image",img) #获取摄像头0表示第一个摄像头 cap=cv2.VideoCapture(0) while(1):#逐帧显示 ret,img=cap.read() #cv2.imshow("Image",img) discern(img) ifcv2.waitKey(1)&0xFF==ord('q'): break cap.release()#释放摄像头 cv2.destroyAllWindows()#释放窗口资源

python实现图片，视频人脸识别(opencv版)

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