自动化定位元素-图像识别获取元素位置：opencv 模板匹配

背景

没有背景
我想在当前图片上找到某一块图片(称为模板)，然后再根据坐标点击操作
模板图片：

我期望在下面图片上找到他：

opencv模板匹配

上代码：

import cv2 as cv
from matplotlib import pyplot as plt

network_path = '/home/tarzan/Desktop/playw_test/images/network.png'
dock_path = '/home/tarzan/Desktop/playw_test/images/dock.png'
template = cv.imread(network_path, 0)
img = cv.imread(dock_path, 0)
img2 = img.copy()
w, h = template.shape[::-1]
print(w, h)
methods = ['cv.TM_CCOEFF', 'cv.TM_CCOEFF_NORMED', 'cv.TM_CCORR',
           'cv.TM_CCORR_NORMED', 'cv.TM_SQDIFF', 'cv.TM_SQDIFF_NORMED']
for meth in methods:
    print(meth)
    img = img2.copy()
    method = eval(meth)
    res = cv.matchTemplate(img, template, method)
    min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)

    if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:
        top_left = min_loc
    else:
        top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)

    cv.rectangle(img, top_left, bottom_right, 255, 2)

    plt.subplot(121), plt.imshow(res, cmap='gray')
    plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
    plt.subplot(122), plt.imshow(img, cmap='gray')
    plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)
    plt.show()

不同算法运行结果：