1 | initial version |
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,mask=cv2.findHomography(tp,qp,cv2.RANSAC,3.0)
I think this will work, source