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import tensorflow as tf
import numpy as np

##################################################################################
# Initialization
##################################################################################

# Xavier : tf.contrib.layers.xavier_initializer()
# He : tf.contrib.layers.variance_scaling_initializer()
# Normal : tf.random_normal_initializer(mean=0.0, stddev=0.02)

stoensin

import tensorflow as tf
from scipy import misc
import numpy as np
import random, os
from tensorflow.contrib import slim

class ImageData:

    def __init__(self, load_size, channels, augment_flag):
        self.load_size = load_size

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def kmp(st,pt):
    # 传入一个母串和一个子串
    
    if len(pt)==0:
        return 0
    if len(st)==0:
        return -1
    
    # 生成next数组    
    next=[-1]*len(pt)

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def partition(seq):

    pi, seq = seq[0], seq[1:]                
    lo = [x for x in seq if x <= pi]
    hi = [x for x in seq if x > pi]
    return lo, pi, hi

def selectmax(seq, k):
    lo, pi, hi = partition(seq)
    m = len(lo)

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import os
import re
import sys
import json
import time
import random
import requests
from hashlib import md5
from pyquery import PyQuery as pq
from multiprocessing.dummy import Pool

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import cv2
import numpy as np

image = cv2.imread('./trex.png')
image_blur = np.hstack(      # 均值滤波器结果图像的水平拼接
    [cv2.blur(image, (3, 3)),  # kernel_size为3×3
    cv2.blur(image, (5, 5)),
    cv2.blur(image, (7, 7))]  # 能够看到图像变得越来越模糊
)  
cv2.imwrite('blur_of_diff_size.jpg', image_blur)

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class ALG(object):
    def __init__(self,list):
        self.list=list
    #冒泡
    def bubble_sort(nums):
        n =len(nums)
        for i in range(n - 1):  
            for j in range(n-1 - i):
                if nums[j+1] < nums[j]:
                    nums[j], nums[j + 1] = nums[j + 1], nums[j]

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def fib_iter(n):
    pre,next = 1, 1
    result = 0
    i = 2
    while i < n:
        result = pre + next
        pre,next= next,result
        
        i += 1
    return result

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import numpy as np
import cv2

img = cv2.imread('X.jpg',0)
cv2.imshow('image',img)
k = cv2.waitKey(0)
k = cv2.waitKey(0) & 0xFF  # 64位机器
if k == 27:         # 按下esc时，退出
    cv2.destroyAllWindows()
elif k == ord('s'): # 按下s键时保存并退出

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import os
import time
from functools import reduce
from threading import Thread
from PIL import Image


class MosaicMaker(object):
   # 内部类，执行多线程拼图的任务类
   class __SubTask: