OpenCV 动态-人脸检测(python)

直接上代码: 按Q退出

import cv2  import numpy as np    cv2.namedWindow("test")  cap = cv2.VideoCapture(0) #加载摄像头录制  # cap = cv2.VideoCapture("test.mp4") #打开视频文件  success, frame = cap.read()  # classifier = cv2.CascadeClassifier("/Users/yuki/anaconda/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml")  # 确保此xml文件与该py文件在一个文件夹下，否则将这里改为绝对路径  #haarcascade_frontalface_default.xmlclassifier = cv2.CascadeClassifier("/Users/yuki/anaconda/share/OpenCV/haarcascades/haarcascade_frontalface_default.xml")  # 确保此xml文件与该py文件在一个文件夹下，否则将这里改为绝对路径  while success:      success, frame = cap.read()      size = frame.shape[:2]      image = np.zeros(size, dtype=np.float16)      image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)      cv2.equalizeHist(image, image)      divisor = 8      h, w = size      minSize = (w // divisor, h // divisor)      faceRects = classifier.detectMultiScale(image, 1.2, 2, cv2.CASCADE_SCALE_IMAGE, minSize)      if len(faceRects) > 0:          for faceRect in faceRects:              x, y, w, h = faceRect              cv2.rectangle(frame,(x,y),(x+h,y+w),(0,255,0),2)            #锁定 眼和嘴巴#             cv2.circle(frame, (x + w // 4, y + h // 4 + 30), min(w // 8, h // 8), (255, 0, 0))   # 左眼#             cv2.circle(frame, (x + 3 * w //4, y + h // 4 + 30), min(w // 8, h // 8), (255, 0, 0))   #右眼#             cv2.rectangle(frame, (x + 3 * w // 8, y + 3 * h // 4), (x + 5 * w // 8, y + 7 * h // 8), (255, 0, 0))   #嘴巴    cv2.imshow("test", frame)      key = cv2.waitKey(10)      c = chr(key & 255)      if c in ['q', 'Q', chr(27)]:          break  cv2.destroyWindow("test")