Question

使用opencv2，我尝试使用以下代码从网络摄像头检测人脸： -

List<T>

我无法执行完整的代码，因为我在下面的步骤中遇到错误： -

  import cv2

  import sys

  cascPath = sys.argv[1]

  faceCascade = cv2.CascadeClassifier(cascPath)

  video_capture = cv2.VideoCapture(0)

  while True:

  ret, frame = video_capture.read() 

  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

  faces = faceCascade.detectMultiScale(gray,scaleFactor=1.1,minNeighbors=5,
  minSize=(30, 30), flags=cv2.cv.CV_HAAR_SCALE_IMAGE)

  for (x, y, w, h) in faces:

  cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

  cv2.imshow('Video', frame)

  if cv2.waitKey(1) & 0xFF == ord('q'):

  break

  video_capture.release()

  cv2.destroyAllWindows()

谢谢，微风

Answer 1

缩进在Python中非常重要，它构成了代码的结构。您的脚本需要缩进，如下所示：

import cv2
import sys

cascPath = sys.argv[1]
faceCascade = cv2.CascadeClassifier(cascPath)
video_capture = cv2.VideoCapture(0)

while True:
    ret, frame = video_capture.read() 
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(gray, scaleFactor=1.1,
                minNeighbors=5, minSize=(30, 30), 
                flags= cv2.cv.CV_HAAR_SCALE_IMAGE)

    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
        cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

video_capture.release()
cv2.destroyAllWindows()

运行此脚本进行面部识别：

python myscript.py C:\opencv\build\etc\haarcascades\haarcascade_frontalface_default.xml

使用python激活我的网络摄像头并检测面部

1 个答案: