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我正在尝试在单独的线程中使用 HAAR Cascade 检测车辆。

这是我的一些代码： 主线程：

(isRead,cvImage)=cvCamSource.read()
lane1=Lane(cvCamSource,Lane.InflowLane)
print 'Blah Blah Blah!!'

实际工作线程：

class Lane(Thread):
    def __init__(self,camSource,laneType):
        Thread.__init__(self)
        self.cvCam=camSource
        self.setLaneMask()


    def run(self):
        self.detectVehiclesCount()


    #Just update the Count
    def detectVehiclesCount(self):
        cascade=cv2.CascadeClassifier(self.cascadeFile)
        frameCount=0
        sumOfVehicleCounts=0
        noOfFramesAveraged=1000
        while frameCount<=noOfFramesAveraged:
            print frameCount
            #Read Image
            (isRead,cvImage)=self.cvCam.read()
            if isRead==True:
                frameCount+=1
                grayscaleImage=cv2.cvtColor(cvImage,cv.CV_BGR2GRAY)
                #Apply Lane Mask
                laneImage=np.bitwise_and(grayscaleImage,self.laneMask)
                rects = cascade.detectMultiScale(laneImage, scaleFactor=1.2, minNeighbors=4, minSize=(30,30), maxSize=(200,200))
                sumOfVehicleCounts+=len(rects)
            else:
                raise self.NoInputFromWebcam, "Can't Read From Webcam Source!"

        self.countOfVehicles=int(sumOfVehicleCounts/noOfFramesAveraged)


    #Set the Lane Mask
    def setLaneMask(self):
        (isRead,cvImage)=self.cvCam.read()

        if isRead:
            grayscaleImage=cv2.cvtColor(cvImage,cv.CV_BGR2GRAY)
            self.laneMask=self.extract_lane(grayscaleImage)
##            print 'Mask Image Created Successfully!'
        else:
            raise self.NoInputFromWebcam, "Can't Read From Webcam Source!"


    """
    Input grayscale cvImage
    Output cvImage of Mask
    'Mouse Click' to mark points, 'Space' to Preview and 'Enter' to Finalize Mask
    """
    def extract_lane(self, grayscaleImage):
        overlayImage=np.copy(grayscaleImage)
        cv2.namedWindow('preview')
        cPts=[[]]
        cv2.setMouseCallback('preview',self.on_mouse,(cPts,overlayImage,grayscaleImage))
        opacity=0.4
        while True:
            displayImage=cv2.addWeighted(overlayImage,opacity,grayscaleImage,1-opacity,0)
            cv2.imshow('preview',displayImage)
            keyPressed=cv2.waitKey(5)
            if keyPressed==27:
                break
            elif keyPressed==32:
                cv2.drawContours(overlayImage,np.array(cPts),0,255)
                maskImage=np.zeros_like(grayscaleImage)
                cv2.drawContours(maskImage,np.array(cPts),0,255,-1)
                extractedImage=np.bitwise_and(grayscaleImage,maskImage)
                cv2.imshow('extractedImage',extractedImage)
            elif keyPressed==13:
                break
        cv2.destroyAllWindows()

        return maskImage


    #Mouse Event Listener
    """Left Click to Draw, Right Click to Reset"""
    def on_mouse(self, event, x, y, flags,(cPts,overlayImage,resetImage)):
        if event==cv.CV_EVENT_LBUTTONUP:
            cPts[0].append([x,y])
            cv2.circle(overlayImage,(x,y),5,(255),-1)
            if len(cPts[0])>1:
                oldPoint=cPts[0][len(cPts[0])-2]
                cv2.line(overlayImage,(oldPoint[0],oldPoint[1]),(x,y),255)
        elif event==cv.CV_EVENT_RBUTTONUP:
            cPts[0]=[]
            overlayImage[:]=resetImage[:]

发生的情况是 Detect 方法会阻塞主线程，直到它完成，然后打印“Blah Blah Blah”。我究竟做错了什么？

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