Hello, below is my whole python code. I am running opencv 2.4.13
import cv2
import numpy as np
MIN_MATCH_COUNT=30
detector=cv2.ORB()
FLANN_INDEX_KDITREE=0
flannParam=dict(algorithm=FLANN_INDEX_KDITREE,tree=5)
flann=cv2.FlannBasedMatcher(flannParam,{})
trainImg=cv2.imread("TrainingData/TrainImg.png",0)
trainKP,trainDesc=detector.detectAndCompute(trainImg,None)
cam=cv2.VideoCapture(1)
while True:
ret, QueryImgBGR=cam.read()
QueryImg=cv2.cvtColor(QueryImgBGR,cv2.COLOR_BGR2GRAY)
queryKP,queryDesc=detector.detectAndCompute(QueryImg,None)
matches=flann.knnMatch(queryDesc,trainDesc,k=2)
goodMatch=[]
for m,n in matches:
if(m.distance<0.75*n.distance):
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=trainImg.shape
trainBorder=np.float32([[[0,0],[0,h-1],[w-1,h-1],[w-1,0]]])
queryBorder=cv2.perspectiveTransform(trainBorder,H)
cv2.polylines(QueryImgBGR,[np.int32(queryBorder)],True,(0,255,0),5)
else:
print "Not Enough match found- %d/%d"%(len(goodMatch),MIN_MATCH_COUNT)
cv2.imshow('result',QueryImgBGR)
if cv2.waitKey(10)==ord('q'):
break
cam.release()
cv2.destroyAllWindows()
However, it turns out the error message:[C:\fakepath\Selection_004.png](/upfiles/14993397521238273.png)
I wonder if it is related to FLANN with ORB...but I dont have any idea to change the code so that it can be run smoothly. PLease help!!!
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