1、四层中式别墅装修

2、四层中式别墅图片大全欣赏

四层中式别墅图片大全

图片 1：典雅气派的红墙绿瓦别墅

![图片 1]()

图片 2：徽派风格的精致别墅

![图片 2]()

图片 3：现代简约的中式别墅

![图片 3]()

图片 4：恢弘大气的四合院别墅

![图片 4]()

图片 5：古色古香的仿古别墅

![图片 5]()

图片 6：大气磅礴的宫殿式别墅

![图片 6]()

图片 7：苏州园林风格的别墅

![图片 7]()

图片 8：传统与现代相结合的别墅

![图片 8]()

图片 9：中式庭院式别墅

![图片 9]()

图片 10：低调奢华的四合院别墅

![图片 10]()

3、四层中式别墅外观效果图

from PIL import Image

import numpy as np

import pandas as pd

import matplotlib as mpl

from matplotlib import pyplot as plt

import matplotlib.gridspec as gridspec

Load the image

image = Image.open("four_story_chinese_villa_exterior_effect_picture.jpg")

image = np.array(image)

Create a figure and subplot

fig = plt.figure(figsize=(10, 10))

gs = gridspec.GridSpec(3, 3)

Plot the original image in the topleft subplot

plt.subplot(gs[0, 0])

plt.imshow(image)

plt.title("Original Image")

Create a subplot with the image converted to grayscale

plt.subplot(gs[1, 0])

gray_image = np.mean(image, axis=2)

plt.imshow(gray_image, cmap="gray")

plt.title("Grayscale Conversion")

Create a subplot with the image transformed to the HSV color space

plt.subplot(gs[2, 0])

hsv_image = mpl.colors.rgb_to_hsv(image / 255.0)

plt.imshow(hsv_image)

plt.title("HSV Color Space")

Plot the hue channel of the HSV image

hue_image = hsv_image[:, :, 0]

plt.subplot(gs[0, 1])

plt.imshow(hue_image, cmap="hsv")

plt.title("Hue Channel")

Plot the saturation channel of the HSV image

saturation_image = hsv_image[:, :, 1]

plt.subplot(gs[1, 1])

plt.imshow(saturation_image, cmap="gray")

plt.title("Saturation Channel")

Plot the value channel of the HSV image

value_image = hsv_image[:, :, 2]

plt.subplot(gs[2, 1])

plt.imshow(value_image, cmap="gray")

plt.title("Value Channel")

Plot the image with the hue channel shifted by 0.5

shifted_hue_image = np.copy(hsv_image)

shifted_hue_image[:, :, 0] += 0.5

shifted_hue_image = np.clip(shifted_hue_image, 0.0, 1.0)

shifted_hsv_image = mpl.colors.hsv_to_rgb(shifted_hue_image)

plt.subplot(gs[0, 2])

plt.imshow(shifted_hsv_image)

plt.title("Hue Shift")

Plot the image with the saturation channel increased by 0.5

increased_saturation_image = np.copy(hsv_image)

increased_saturation_image[:, :, 1] += 0.5

increased_saturation_image = np.clip(increased_saturation_image, 0.0, 1.0)

increased_hsv_image = mpl.colors.hsv_to_rgb(increased_saturation_image)

plt.subplot(gs[1, 2])

plt.imshow(increased_hsv_image)

plt.title("Saturation Increase")

Plot the image with the value channel decreased by 0.5

decreased_value_image = np.copy(hsv_image)

decreased_value_image[:, :, 2] = 0.5

decreased_value_image = np.clip(decreased_value_image, 0.0, 1.0)

decreased_hsv_image = mpl.colors.hsv_to_rgb(decreased_value_image)

plt.subplot(gs[2, 2])

plt.imshow(decreased_hsv_image)

plt.title("Value Decrease")

Show the plot

plt.show()

4、四层中式别墅装修效果图

HasColumn

一层:

宽敞的门厅，带有高高的天花板和雕花屏风

正式客厅，配有红木家具和古董挂画

舒适的家庭房，带有舒适的沙发和壁炉

明亮通风的厨房，配有现代化电器和定制橱柜

正式餐厅，配有大型餐桌和精致的吊灯

客卧或客房，带有连接浴室

二层:

宽敞的主卧，带有步入式衣橱和连接主浴室

主浴室，配有浴缸、淋浴和双洗手盆

两间额外的卧室，有连接浴室和衣柜

家庭活动室或游戏室，配有舒适的座位和娱乐系统

三层:

阁楼式卧室或书房，带有屋顶天窗

连接浴室，配有淋浴和单洗手盆

宽敞的露台，可欣赏周围景色

四层:

屋顶露台，配有休息区和烧烤架

全景城市景观