Python人脸检测错误opencv

我尝试使用python人脸检测软件。但是，当我启动它，我recive这个错误：Python人脸检测错误opencv

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?)

的源代码是这样的：

#!/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)

我已经设置了所有的权利，我也跟着guide

我下载所有，安装所有，创建并放置正确的文件/ drectory。但仍然面临错误。

来源

2015-11-13 Carlo Zanocco

请使用cv2 api，而不是已弃用的cv 1（已在opencv3中删除）[请参阅示例]（https://github.com/Itseez/opencv/blob/master/samples/python2/facedetect.py） – berak

新开发人员在这里面临的最常见错误之一是涉及旧xml文件的旧代码。

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 downlaoded的文件，然后

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

希望这有助于

来源

2016-02-01 16:40:49 Abhishek

Python人脸检测错误opencv

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