python - OpenCV Traincascade XML文件错误

Question

不太确定哪里出了错-我正在尝试使用自己拍摄的+/-图像训练OpenCV进行对象检测。所有步骤都可以正常运行，但是最终我的Python脚本不会读取XML级联文件(但会加载内置的面部检测文件之一)。

对于它的值(value)，我在运行Python 2.7.3的Mac Lion上。

我的过程:

在正面图像上创建带有边界框的收集文件

创建负图像列表

使用以下命令使用opencv_createsamples:opencv_createsamples -info collection.txt -bg negativeImages.txt -vec positiveVectorFile.vec -num 20 -w 32 -h 24

检查 vector 文件:图像有些压缩，但看起来不错

使用以下命令运行traincascade程序:opencv_traincascade -data directoryToStoreFiles -vec positiveVectorFile.vec -bg negativeImageList.txt -numPos 16 -numNeg 20 -numStages 5 -mem 1000 -maxHitRate 0.95 -w 32 -h 24

然后，我运行以下Python脚本(该脚本适用于常用的面部检测XML):

import cv
img = cv.LoadImage("test.jpg", 0)

# load detection file (various files for different views and uses)
cascade = cv.Load("cascade.xml")        # doesn't work
#cascade = cv.Load("frontalface.xml")   # works

# detect faces, return as list
detected = cv.HaarDetectObjects(img, cascade, cv.CreateMemStorage())

# iterate detected objects, drawing a rectangle around each
for (x,y, w,h), n in detected:
    cv.Rectangle(img, (x,y), (x+w, y+h), 255)

# create a window to display the results
windowTitle = "Test Cascade"
cv.NamedWindow(windowTitle, cv.CV_WINDOW_AUTOSIZE)

# display tested image until the escape key is pressed
while True:
    cv.ShowImage(windowTitle, img)

    # watch for escape key (ASCII 20)
    key = cv.WaitKey(20)
    if key == 27:

        # save the image to file is specified
        if saveIt == True:
            cv.SaveImage("detected.png", img)

        # ... and quit
        exit()

结果是错误: cv2.error: The node does not represent a user object (unknown type?)
我已在此处上传层叠文件: http://pastebin.com/w7uRjyN7。不知道这是我的级联文件，还是其他问题，还是很明显？

Answer 1

好吧，似乎cyberdecker的建议是几个问题之一:cv2的所有命令都有完全不同的命令，在使用opencv_traincascade时是必需的。我的代码现在可以工作了(尽管我的层叠还不太行):

#import library - MUST use cv2 if using opencv_traincascade
import cv2

# rectangle color and stroke
color = (0,0,255)       # reverse of RGB (B,G,R) - weird
strokeWeight = 1        # thickness of outline

# set window name
windowName = "Object Detection"

# load an image to search for faces
img = cv2.imread("test.jpg")

# load detection file (various files for different views and uses)
cascade = cv2.CascadeClassifier("cascade.xml")

# preprocessing, as suggested by: http://www.bytefish.de/wiki/opencv/object_detection
# img_copy = cv2.resize(img, (img.shape[1]/2, img.shape[0]/2))
# gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY)
# gray = cv2.equalizeHist(gray)

# detect objects, return as list
rects = cascade.detectMultiScale(img)

# display until escape key is hit
while True:

    # get a list of rectangles
    for x,y, width,height in rects:
        cv2.rectangle(img, (x,y), (x+width, y+height), color, strokeWeight)

    # display!
    cv2.imshow(windowName, img)

    # escape key (ASCII 27) closes window
    if cv2.waitKey(20) == 27:
        break

# if esc key is hit, quit!
exit()