如何在python中提取图像上的彩色区域并扭曲到所需的大小？

import cv2
import numpy as np

image = cv2.imread('image.jpg')

hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

lower_color = np.array([h_min, s_min, v_min])
upper_color = np.array([h_max, s_max, v_max])

mask = cv2.inRange(hsv_image, lower_color, upper_color)

kernel = np.ones((5, 5), np.uint8)
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)

contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

for contour in contours:
    x, y, w, h = cv2.boundingRect(contour)
    color_region = image[y:y+h, x:x+w]

resized_region = cv2.resize(color_region, (desired_width, desired_height))

import cv2
import numpy as np

image = cv2.imread('image.jpg')
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

h_min, s_min, v_min = 0, 100, 100
h_max, s_max, v_max = 10, 255, 255

lower_color = np.array([h_min, s_min, v_min])
upper_color = np.array([h_max, s_max, v_max])

mask = cv2.inRange(hsv_image, lower_color, upper_color)

kernel = np.ones((5, 5), np.uint8)
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)

contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

for contour in contours:
    x, y, w, h = cv2.boundingRect(contour)
    color_region = image[y:y+h, x:x+w]
    resized_region = cv2.resize(color_region, (desired_width, desired_height))