import cv2 import numpy as np def find_nearest_points(image): # 获取图像的高度和宽度 height, width = image.shape[:2] # 计算四个端点的坐标 top_left = (0, 0) top_right = (width-1, 0) bottom_left = (0, height-1) bottom_right = (width-1, height-1) # 初始化最近的四个点的列表 nearest_points = [] # 计算每个端点最近的点 for point in [top_left, top_right, bottom_left, bottom_right]: min_distance = float('inf') # 初始化最小距离为无穷大 nearest_point = None # 遍历图像中的每个像素，找到最近的点 for y in range(height): for x in range(width): distance = cv2.pointPolygonTest([point], (x, y), True) # 更新最小距离和对应的最近点 if distance < min_distance: min_distance = distance nearest_point = (x, y) nearest_points.append(nearest_point) return nearest_points如何将它的点打印出来

要将找到的最近点打印出来，你可以在函数的末尾添加以下代码：

for point in nearest_points:
    print(f"Nearest point: {point}")

这将遍历最近点列表并打印每个点的坐标。完整的函数代码如下：

import cv2
import numpy as np

def find_nearest_points(image):
    # 获取图像的高度和宽度
    height, width = image.shape[:2]

    # 计算四个端点的坐标
    top_left = (0, 0)
    top_right = (width-1, 0)
    bottom_left = (0, height-1)
    bottom_right = (width-1, height-1)

    # 初始化最近的四个点的列表
    nearest_points = []

    # 计算每个端点最近的点
    for point in [top_left, top_right, bottom_left, bottom_right]:
        min_distance = float('inf')  # 初始化最小距离为无穷大
        nearest_point = None

        # 遍历图像中的每个像素，找到最近的点
        for y in range(height):
            for x in range(width):
                distance = cv2.pointPolygonTest([point], (x, y), True)

                # 更新最小距离和对应的最近点
                if distance < min_distance:
                    min_distance = distance
                    nearest_point = (x, y)

        nearest_points.append(nearest_point)

    for point in nearest_points:
        print(f"Nearest point: {point}")

    return nearest_points

当调用`find_nearest_points()`函数时，它将打印出最近点的坐标。你可以根据需要自定义打印的格式。