Question

我尝试使用python人脸检测软件。但是当我启动它时，我发现了这个错误：

OpenCV Error: Unspecified error (The node does not represent a user object (unknown type?)) in cvRead, file /build/opencv-FWWjHr/opencv-2.4.9.1+dfsg/modules/core/src/persistence.cpp, line 4991
Traceback (most recent call last):
  File "riconoscimentofacciale.py", line 57, in <module>
    faceCascade = cv.Load("haarcascade_frontalface_default.xml")
cv2.error: The node does not represent a user object (unknown type?)

源代码是这样的：

#!/usr/bin/python

import cv
import cv2
import time
import Image

def DetectFace(image, faceCascade):

    min_size = (20,20)
    image_scale = 2
    haar_scale = 1.1
    min_neighbors = 3
    haar_flags = 0

    # Allocate the temporary images
    grayscale = cv.CreateImage((image.width, image.height), 8, 1)
    smallImage = cv.CreateImage(
            (
                cv.Round(image.width / image_scale),
                cv.Round(image.height / image_scale)
            ), 8 ,1)

    # Convert color input image to grayscale
    cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY)

    # Scale input image for faster processing
    cv.Resize(grayscale, smallImage, cv.CV_INTER_LINEAR)

    # Equalize the histogram
    cv.EqualizeHist(smallImage, smallImage)

    # Detect the faces
    faces = cv.HaarDetectObjects(
            smallImage, faceCascade, cv.CreateMemStorage(0),
            haar_scale, min_neighbors, haar_flags, min_size
        )

    # If faces are found
    if faces:
        for ((x, y, w, h), n) in faces:
            # the input to cv.HaarDetectObjects was resized, so scale the
            # bounding box of each face and convert it to two CvPoints
            pt1 = (int(x * image_scale), int(y * image_scale))
            pt2 = (int((x + w) * image_scale), int((y + h) * image_scale))
            cv.Rectangle(image, pt1, pt2, cv.RGB(255, 0, 0), 5, 8, 0)

    return image

#----------
# M A I N
#----------

capture = cv.CaptureFromCAM(0)
#capture = cv.CaptureFromFile("test.avi")

faceCascade = cv.Load("haarcascade_frontalface_default.xml")
#faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt2.xml")
#faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt.xml")
#faceCascade = cv.Load("haarcascades/haarcascade_frontalface_alt_tree.xml")

while (cv.WaitKey(15)==-1):
    img = cv.QueryFrame(capture)
    image = DetectFace(img, faceCascade)
    cv.ShowImage("face detection test", image)

cv.ReleaseCapture(capture)

我已经设置好了，我跟着guide

我全部下载，安装全部，创建并放置正确的文件/ drectory。但仍面临错误。

Answer 1

新开发人员面临的最常见错误之一是旧代码，它引用了旧的xml文件。

下载此haarcascade_frontalface_alt.xml xml文件并替换

faceCascade = cv.Load("haarcascade_frontalface_default.xml")

与

faceCascade = cv.Load("Complete_path_of_THiS_NEW_File")

如果你在downloadfolder中下载了文件，那么

faceCascade = cv.Load("/home/webadmin/Downloads/haarcascade_frontalface_default.xml")

希望这有帮助

使用opencv进行Python面部检测错误

1 个答案: