Python 地图裁剪和处理代码详解：获取有效区域并生成目标图片

def get_map(self):
    # 取得地图的函数

    # 设置地图的初始坐标
    x1, x2, y1, y2 = 0, 8191, 0, 8191

    # 寻找地图的左上角和右下角边缘，用于裁剪地图
    while x1 < 8192 and np.sum(self.big_map[x1, :]) == 0:
        x1 += 1
    while y1 < 8192 and np.sum(self.big_map[:, y1]) == 0:
        y1 += 1
    while x2 > 0 and np.sum(self.big_map[x2, :]) == 0:
        x2 -= 1
    while y2 > 0 and np.sum(self.big_map[:, y2]) == 0:
        y2 -= 1

    # 如果地图的左上角和右下角坐标有误，则返回
    if x1 >= x2 or y1 >= y2:
        return

    # 对地图进行深拷贝，并将值大于等于100的像素点置为255
    tp = deepcopy(self.big_map[x1 - 1:x2 + 2, y1 - 1:y2 + 2])
    tp[tp >= 100] = 255

    # 对拷贝后的地图进行遍历，并将周围有255像素点的像素点置为255
    bk = deepcopy(tp)
    for i in range(tp.shape[0]):
        for j in range(tp.shape[1]):
            f = 0
            for ii in range(0, 1):
                for jj in range(0, 1):
                    if i + ii >= 0 and j + jj >= 0 and i + ii < tp.shape[0] and j + jj < tp.shape[1]:
                        if bk[i + ii, j + jj] == 255:
                            f = 1
                            break
            if f:
                tp[i, j] = 255

    # 将像素点小于100的像素点置为0，并将地图保存为图片文件
    tp[tp < 100] = 0
    cv.imwrite(self.map_file + 'map_' + str(x1 - 1) + '_' + str(y1 - 1) + '_.jpg', tp)
    cv.imwrite(self.map_file + 'target.jpg', tp)