运行环境：雷电模拟器9

使用语言：python

坐标识别

 由于坐标文本太小，所以文字识别的效果并不好。因此将坐标截图进行变成黑白图片，然后将图片变成二位数组，并进行切割。将文字识别改成数组比较。

使用adb进行截图并将图片pull到电脑上

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import subprocess
def screenShot(filename):
    """
    截取雷电模拟器屏幕并保存在E盘adb文件夹中
    """
    # 截图在模拟器/sdcard/下
    subprocess.run("cmd /c adb -s emulator-5554 shell screencap -p /sdcard/{0}".format(filename))
    # 将图片复制到e盘adb文件夹下
    subprocess.run("cmd /c adb -s emulator-5554 pull /sdcard/{0} E://adb".format(filename))
    pass

将图片进行灰度图二值化

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import cv2
def binaryImage(imagePath, threshold=150):
        """
        将截图二值化
        """
        # 读取图片
        im = cv2.imread(imagePath)
        # 将图像转为灰度图
        imGray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
        # 灰度图二值化
        ret,binary = cv2.threshold(img_gray,127,255,cv2.THRESH_BINARY)
        # 返回二值化图像
        cv2.imwrite("E:\\adb\\screen01.png",binary)

对数组进行处理，删除没有255的行列

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obj = cv2.imread("e:/adb/binary_image.png")
obj = cv2.cvtColor(obj, cv2.COLOR_BGR2GRAY)
nuary = numpy.array(obj)

# 将横向不含255的排除
print(nuary.shape)
new_array = []
for i in range(nuary.shape[0]):
    if 255 in nuary[i]:
       new_array.append(nuary[i])
nuary = numpy.array(new_array)

# 纵向分割图片
img_list = [[[] for _ in range(26)] for _ in range(7)]
xuhao = -1
l = 0
for i in range(nuary.shape[1]):
    if 255 in nuary[:,i]:
        if i-l==1:
            xuhao = xuhao+1
        for n in range(26):
            print(xuhao)
            print(n)
            img_list[xuhao][n].append(nuary[n,i])
            pass
    else:
        l = i
# 清除空数组
img_list.remove([])

以上属于东拼西凑起来的，要用还得捋一捋