Question

我正在教自己如何通过编写我在youtube上找到的简单的面部识别程序来使用openCV。我已经安装了opencv版本2以及numpy 1.8.0。我使用的是python2.7。

我在下面的视频和文章链接中准确地复制了这段代码，但我一直在收到错误。 AttributeError：'module'对象没有属性'cv'我做错了什么？

这是我正在使用的代码。

import cv2
import sys

# Get user supplied values
imagePath = sys.argv[1]
cascPath = sys.argv[2]

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = (faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags = cv2.cv.CV_HAAR_SCALE_IMAGE)
)

print "Found {0} faces!".format(len(faces))

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow("Faces found", image)
cv2.waitKey(0)

https://www.youtube.com/watch?v=IiMIKKOfjqE

https://realpython.com/blog/python/face-recognition-with-python/

Answer 1

最新的openCV不再允许导入旧版cv模块。此外，常量的命名约定通常取消了前导“CV _...”，并且几个/许多名称已经有所改变。我认为你遇到了两个问题。

具体而言，您报告的错误与代码中的此表达式有关：cv2.cv.CV_HAAR_SCALE_IMAGE。此表达式尝试在您导入的CV_HAAR_SCALE_IMAGE包的cv子模块中找到命名常量cv2。但是，唉，再也没有cv2.cv了。

在openCV 3中，我相信这个常量现在引用如下：cv2.CASCADE_SCALE_IMAGE

此外，您可能会发现invisible()有用。它是OpenCV源代码中的facedetect.py示例脚本。您可以在此示例中查看新常量名称的用法，也可以检查旧源/教程中的其他更改。

Answer 2

似乎没有下载级联。

https://github.com/opencv/opencv/tree/master/data/haarcascades

下载上面链接中提供的haarcascades，应该适用于Open CV 4.2.0

请阅读xml中提到的许可协议

Answer 3

这段代码对我来说很好用，我正在使用 opencv3 库，请试试

import cv2
import sys
 # Get user supplied values
imagePath = sys.argv[1]
cascPath = sys.argv[2]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Detect faces in the image
faces = faceCascade.detectMultiScale(
    gray,
    scaleFactor=1.1,
    minNeighbors=5,
    minSize=(30, 30),
    flags=cv2.CASCADE_SCALE_IMAGE
)

# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Faces found", image)
cv2.waitKey(0)

Answer 4

这段代码很适合我：

import cv2

imagePath = (
"path to image")
cascPath = ("..\haarcascade_frontalface_default.xml")

# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)
# Read the image
image = cv2.imread(imagePath)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Detect faces in the image
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
# flags = cv2.CV_HAAR_SCALE_IMAGE
)
# print "Found {0} faces!".format(len(faces))
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Faces found", image)
cv2.waitKey(0)

Answer 5

以下是使用OpenCV3处理jupyter笔记本的更新代码：

[]
import cv2
import matplotlib.pyplot as plt
%matplotlib inline 

[]
# Get user supplied values
imagePath = "abba.png"
cascPath = "haarcascade_frontalface_default.xml"

[]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

[]
# Create the haar cascade
faceCascade = cv2.CascadeClassifier(cascPath)

[]
# Read the image
image = cv2.imread(imagePath)

[]
plt.imshow(image)
plt.show()

[]
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

[]
# Detect faces in the image
faces = faceCascade.detectMultiScale(
   gray,
   scaleFactor=1.1,
   minNeighbors=5,
   minSize=(30, 30),
   flags = cv2.CASCADE_SCALE_IMAGE #flags = cv2.cv.CV_HAAR_SCALE_IMAGE
)

[]
print("Found {0} faces!".format(len(faces)))


[]
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)

[]
plt.imshow(image)
plt.show()

使用opencv进行人脸识别时的属性错误

5 个答案: