尽管没有错误，ORB不起作用

Question

我当时使用SIFT算法实时检测物体。当我意识到SIFT不再免费之后，我决定使用ORB算法。我将ORB与BFMatcher一起使用。我没有任何错误要检查，但是代码找不到对象。

这是我的代码

import numpy as np
import cv2

MIN_MATCH_COUNT=30
cap = cv2.VideoCapture(0)

img1 = cv2.imread("TrainingData/deneme1.jpg",0)


orb = cv2.ORB_create()
trainKP,trainDesc=orb.detectAndCompute(img1,None)
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck = True)

while(1):
    ret,frame= cap.read()
    QueryImg=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    queryKP,queryDesc=orb.detectAndCompute(QueryImg,None)

    matches = bf.match(queryDesc,trainDesc)

    goodMatch=[]
    for m in matches:
        if(m.distance<0.75):
            goodMatch.append(m)
    if(len(goodMatch)>MIN_MATCH_COUNT):
        tp=[]
        qp=[]
        for m in goodMatch:
            tp.append(trainKP[m.trainIdx].pt)
            qp.append(queryKP[m.queryIdx].pt)
        tp,qp=np.float32((tp,qp))
        H,status=cv2.findHomography(tp,qp,cv2.RANSAC,3.0)
        h,w=img1.shape
        trainBorder=np.float32([[[0,0],[0,h-1],[w-1,h-1],[w-1,0]]])
        queryBorder=cv2.perspectiveTransform(trainBorder,H)
        cv2.polylines(frame,[np.int32(queryBorder)],True,(0,255,0),5)
    else:
        print ("Not Enough match found- ")
    cv2.imshow('result',frame)
    if cv2.waitKey(10)==ord('q'):
        break
cap.release()
cv2.destroyAllWindows()