Python图片识别找坐标（appium通过识别图片点击坐标）

import aircv as ac
def matchImg(imgsrc,imgobj,confidencevalue=0.5):#imgsrc=原始图像，imgobj=待查找的图片
    imsrc = ac.imread(imgsrc)
    imobj = ac.imread(imgobj)
 
    match_result = ac.find_template(imsrc,imobj,confidence)  # {‘confidence‘: 0.5435812473297119, ‘rectangle‘: ((394, 384), (394, 416), (450, 384), (450, 416)), ‘result‘: (422.0, 400.0)}
    if match_result is not None:
        match_result[‘shape‘]=(imsrc.shape[1],imsrc.shape[0])#0为高，1为宽

    return match_result

{‘confidence‘: 0.5435812473297119, ‘rectangle‘: ((394, 384), (394, 416), (450, 384), (450, 416)), ‘result‘: (422.0, 400.0)

photo_position=self.driver.get_screenshot_as_file(imgfile)#截屏手机
 
x = self.driver.get_window_size()[‘width‘]
y = self.driver.get_window_size()[‘height‘]
size_width,size_height = x,y #获得手机d的宽高尺寸
 
confidencevalue = 0.8  # 定义相似度
position = matchImg(imsrc,imobj,confidence)# 用第一步的方法，实际就是find_template()方法
 
if position != None:
    x, y = position[‘result‘]
    shape_x, shape_y = tuple(map(int,position[‘shape‘]))
    position_x,position_y=int(photo_position_x+(photo_width/shape_x*x)),int(photo_position_y+(photo_height/shape_y*y))

    self.driver.tap([(position_x, position_y)])

driver.find_element(*element).screenshot(imgfile)