python 移动鼠标位置_三种方法鼠标移动平均位置.py

import cv2 as cv

import numpy as np

import pyautogui

screen = r"E:\down\face\screenshort.png" ##屏幕截图保存路径

tp = r"E:\down\face\face.png" ##需要的匹配图片保存路径

def function_pipei(scshort, Tp): ##三种模板匹配方法匹配图片返回左上角坐标集合

target = cv.imread(scshort)

tpl = cv.imread(Tp)

methods = [cv.TM_SQDIFF_NORMED, cv.TM_CCORR_NORMED, cv.TM_CCOEFF_NORMED]

th, tw = tpl.shape[:2]

Tback = []

for md in methods:

result = cv.matchTemplate(target, tpl, md)

# print(result)

min_val, max_val, min_loc, max_loc = cv.minMaxLoc(result)

## print(min_val, max_val, min_loc, max_loc)

if md == cv.TM_SQDIFF_NORMED:

t1 = min_loc

else:

t1 = max_loc

## br = (t1[0] + tw, t1[1] + th)

# Cut1 = target

# Z1 = t1[0]

# Z2 = t1[0] + tw

# Z3 = t1[1]

# Z4 = t1[1] + th

# Cut1 = Cut1[Z3:Z4, Z1:Z2]

# cv.imwrite(r'E:\down\cat' + np.str(md) + '.jpg', Cut1)

# print(Cut1)

# cv.imshow('cut1'+np.str(md), Cut1)

# print("左上角坐标")

# print(t1)

# print("右下角坐标")

# print(br)

# cv.rectangle(target, t1, br, [0, 0, 0])

# cv.imshow("pipei" + np.str(md), target)

Tback.append(t1)

# print(Tback)

# break;

# cv.waitKey(2)

# cv.destroyAllWindows()

return Tback

Locimage = function_pipei(screen, tp) ##开始调用

##print(Locimage)

##print(np.mean(Locimage, axis=0)) ##显示集合平均坐标值

##print(Locimage[0])

if abs(sum(Locimage[0]) - sum(np.mean(Locimage, axis=0))) < 50: ##如果坐标集合与第一个方法差值不超过50

X_mv=np.mean(Locimage, axis=0)[0]

Y_mv = np.mean(Locimage, axis=0)[0]

pyautogui.moveTo(X_mv,Y_mv) ##移动鼠标到集合平均值位置上

else:

pyautogui.moveTo(Locimage[0]) ##否则移动到第一个方法的坐标上

# for Locimage in function_pipei(screen, tp):

# print(Locimage)

#print (Ifglobal)

# try: ##一直屏幕截图匹配目标图片

# while True:

# # pyautogui.screenshot(screen)

# Locimage = function_pipei(screen,tp)

# pyautogui.sleep(15)

# pyautogui.rightClick(Locimage)

#

# if Ifglobal-0.02 < 0 or 1 - Ifglobal < 0.02 :

# pyautogui.moveTo(Locimage)

# pyautogui.press('space')

# break;

# else:

# continue;

# except KeyboardInterrupt:

# print('\nexit')

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