from sklearn.datasets import load_sample_image#先导入数据包

china = load_sample_image("china.jpg")#从包中拿出china那那张图

print(china.shape)

china

array([[[174, 201, 231],

        [174, 201, 231],

        [174, 201, 231],

        ...,

        [250, 251, 255],

        [250, 251, 255],

        [250, 251, 255]],

       [[172, 199, 229],

        [173, 200, 230],

        [173, 200, 230],

        ...,

        [251, 252, 255],

        [251, 252, 255],

        [251, 252, 255]],

       [[174, 201, 231],

        [174, 201, 231],

        [174, 201, 231],

        ...,

        [252, 253, 255],

        [252, 253, 255],

        [252, 253, 255]],

       ...,

       [[ 88,  80,   7],

        [147, 138,  69],

        [122, 116,  38],

        ...,

        [ 39,  42,  33],

        [  8,  14,   2],

        [  6,  12,   0]],

       [[122, 112,  41],

        [129, 120,  53],

        [118, 112,  36],

        ...,

        [  9,  12,   3],

        [  9,  15,   3],

        [ 16,  24,   9]],

       [[116, 103,  35],

        [104,  93,  31],

        [108, 102,  28],

        ...,

        [ 43,  49,  39],

        [ 13,  21,   6],

        [ 15,  24,   7]]], dtype=uint8)

import matplotlib.pyplot as plt#导入画图的包

plt.imshow(china)#imshow函数

plt.show()#显示

plt.imshow(china[:,:,0])#所有行，列，按第一的颜色排列

plt.show()

plt.imshow(china[:,:,0],plt.cm.gray)#添加灰色

plt.show()

import sys

sys.getsizeof(china)

819968

image=china[::3,::3]#将间隔扩大为3*3倍

image.shape

plt.imshow(image)

plt.show()

x=image.reshape(-1,3)

from sklearn.cluster import KMeans#导入kmeans包

import numpy as np

model=KMeans(n_clusters=64)#设中心点为64

b=model.fit_predict(x)#预测处理

a=model.cluster_centers_#求均值找中心点

new_image=a[b]#靠近的聚合

new_image=new_image.reshape(image.shape)

plt.imshow(new_image.astype(np.uint8))#改成int

plt.show()

import sys

import matplotlib.image as img

sys.getsizeof(new_image)

128

#图片保存

import matplotlib.image as img

img.imsave('e://01.jpg',china)

sd=img.imread('e://01.jpg')#导入图片数据

sd.shape

plt.imshow(sd)

plt.show()

pb=8/20

pa=1/2

pba=7/10

pab=(7/10*1/2)/(8/20)

print(pab)

cc=1-pab

print(cc)

Python 3.6.6 (v3.6.6:4cf1f54eb7, Jun 27 2018, 02:47:15) [MSC v.1900 32 bit (Intel)] on win32

Type "copyright", "credits" or "license()" for more information.

>>>

================== RESTART: C:/Users/lenovo/Desktop/sff.py ==================

>>>

================== RESTART: C:/Users/lenovo/Desktop/sff.py ==================

0.8749999999999999

>>>

================== RESTART: C:/Users/lenovo/Desktop/sff.py ==================

0.8749999999999999

0.1250000000000001

>>>