import cv2
import numpy as np

# 读取图像并将其转换为灰度图像
img = cv2.imread('image.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 查找轮廓
contours, hierarchy = cv2.findContours(gray, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

# 绘制轮廓
for contour in contours:
    # 计算轮廓长度
    contour_length = cv2.arcLength(contour, True)

    # 定义线条粗细的列表，使其从1到10逐渐增加
    thickness_list = np.linspace(1, 10, len(contour))

    # 遍历轮廓上的每个点，并在图像中绘制线条
    for i, point in enumerate(contour):
        # 计算当前点的线条粗细
        thickness = int(thickness_list[i])

        # 绘制线条
        if i == 0:
            # 如果是起点，线条粗细为1
            cv2.circle(img, tuple(point[0]), 1, (0, 0, 255), -1)
        else:
            # 如果不是起点，线条粗细为thickness
            prev_point = tuple(contour[i - 1][0])
            curr_point = tuple(point[0])
            cv2.line(img, prev_point, curr_point, (0, 0, 255), thickness)

# 显示图像
cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()