python图像特征点匹配

1.打开pycharm
2.新建文件
3.
import cv2
import numpy as np
from PyQt5.QtWidgets import QApplication
from PyQt5.QtGui import *
import win32gui
from ctypes import *
import sys
import aircv
import time
import threading
import cv2
import numpy as np
import random
def screen_cut():#指定窗口截图
hwnd = win32gui.FindWindow(None, “地下城与勇士”)
title = win32gui.GetWindowText(hwnd)
app = QApplication(sys.argv)
screen = QApplication.primaryScreen()
img = screen.grabWindow(hwnd).toImage()
img.save(“D:/auto/dnf/screenshot.jpg”)
def mac_match():
im1 = cv2.imread(‘D:/auto/dnf/people_download/time.jpeg’)
im2 = cv2.imread(‘D:/auto/dnf/people_download/time1.jpeg’)
ima1 = cv2.cvtColor(im1, cv2.COLOR_BGR2GRAY)
ima2 = cv2.cvtColor(im2, cv2.COLOR_BGR2GRAY)
sift = cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(ima1, None)
kp2, des2 = sift.detectAndCompute(ima2, None)
FLANN_INDEX_KDTR