How to use the RANSAC to remove the mismatching?

[P66094125]

img_homo_gray1= cv2.cvtColor(IX, cv2.COLOR_BGR2GRAY)
img_homo_gray2= cv2.cvtColor(registered, cv2.COLOR_BGR2GRAY)

MIN_MATCH_COUNT =5
if matches>MIN_MATCH_COUNT:
M, mask = cv2.findHomography(X,Z, cv2.RANSAC,5.0)
matchesMask = mask.ravel().tolist()
print(matchesMask)
h,w =img_homo_gray1.shape
pts = np.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]).reshape(-1,1,2)
dst = cv2.perspectiveTransform(pts, M)
img_homo_gray2= cv2.polylines(img_homo_gray2, [np.int32(dst)], True, 255, 3, cv2.LINE_AA)
else:
matchesMask = None

#calaulate RANSAC matching point
sum = 0
for i in range(1,matches, 1):
if mask[i][0]==1:
sum += 1
print("RANSAC matching point: ",sum)
mismatching=matches-sum
print("mismatching:",mismatching)

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Question: I don't know how to draw the matching line after doing RANSAC?