在线程中运行HAAR级联检测的OpenCV Python

我试图在一个单独的线程中检测使用HAAR Cascade的车辆

以下是我的一些代码： 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[:]

发生的事情是检测方法阻塞主线程，直到它完成，然后“诸如此类”打印。

---

我做错了什么？

你真的用lane1启动线程了吗。打印之前启动布拉赫。。。？如果没有，那么主线程仍在对象构造函数中运行。