facedector-Demo

import cv2
 
class FaceDetector:
    def __init__(self, faceCascadePath):
        # load the face detector
        self.faceCascade = cv2.CascadeClassifier(faceCascadePath)
 
    def detect(self, image, scaleFactor = 1.3, minNeighbors = 5, minSize = (30, 30)):
        # detect faces in the image
        rects = self.faceCascade.detectMultiScale(image,
            scaleFactor = scaleFactor, minNeighbors = minNeighbors,
            minSize = minSize,flags = cv2.CASCADE_SCALE_IMAGE)
 
        # return the rectangles representing boundinb
        # boxes around the faces
        return rects
    def render(self,frame,rect):
        x=rect[0]
        y=rect[1]
        w=rect[2]
        h=rect[3]
        frame = cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)
        return frame
 
# 声明人脸检测类
face_detector = FaceDetector('D:/Anaconda3/Lib/site-packages/cv2/data/haarcascade_frontalface_default.xml')
# 读取图片
frame = cv2.imread("E:/Testcomptition/subject/competition_2/test/083941.jpg")
# 人脸检测
rects = face_detector.detect(frame)
print("rect value is: ", rects)
print(type(rects))
# 在原始图片上框出人脸
for rect in rects:
    print(rect)
    frame = face_detector.render(frame, rect)
# 展示图像
cv2.imshow("face rect", frame)
# 等待“q”按下，关闭窗口
if cv2.waitKey(0) == ord("q"):
    cv2.destroyAllWindows()