I dont get the coordinates from feature matching

Question

list_kp1 = []
list_kp2 = []
del list_kp1
del list_kp2
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
img1=cv2.imread("rm1.jpg",0)
img2=cv2.imread("rm2.JPG",0)
orb=cv2.ORB_create()
kp1, des1=orb.detectAndCompute(img1,None)
kp2, des2=orb.detectAndCompute(img2,None)
bf=cv2.BFMatcher(cv2.NORM_HAMMING,crossCheck= True)
matches=bf.match(des1,des2)
matches=sorted(matches,key=lambda x:x.distance)
img3=cv2.drawMatches(img1,kp1,img2,kp2,matches[:5],None,flags=2)
plt.imshow(img3)
plt.show()
print()
# Initialize lists
list_kp1 = []
list_kp2 = []
# For each match...
for mat in matches[:5]:
# Get the matching keypoints for each of the images
img1_idx = mat.queryIdx
img2_idx = mat.trainIdx
# x - columns
# y - rows
# Get the coordinates
(x1, y1) = kp1[img1_idx].pt
(x2, y2) = kp2[img2_idx].pt
# Append to each list
list_kp1.append((x1, y1))
list_kp2.append((x2, y2))
list_kp1 = [kp1[mat.queryIdx].pt for mat in matches]
list_kp2 = [kp2[mat.trainIdx].pt for mat in matches]
print(np.size(list_kp1))

Answer 1

Did you solve the problem?