就是给出以下几个function的def 越多越好：

1、 red_average(Picture) 算出pic众pixels的平均红值 。

2、scale_red(Picture, int) 调整图片红值 并确保其不超过255 。

3、expand_width(Picture, int)  。

4、reduce_width(Picture, int) 放大和缩小宽值 都是乘或者除的 ，distance(Pixel, Pixel) 以红蓝绿值为标准 计算两个pixel之间的距离(类似于xyz坐标轴中两点距离)。

5、simple_difference(Picture,Picture) 简单计算两张图片有多相似 不必考虑长宽。

6、smart_difference(Picture,Picture) 这个方程的步骤需为: 判断图片大小 。如必要 乘除高度 。 如必要 乘除宽度。 调整图片颜色使之相同平均红蓝绿值 。

Python具有丰富和强大的库。它常被昵称为胶水语言，能够把用其他语言制作的各种模块(尤其是C/C++)很轻松地联结在一起。常见的一种应用情形是，使用Python快速生成程序的原型(有时甚至是程序的最终界面)，然后对其中 有特别要求的部分，用更合适的语言改写，比如3D游戏中的图形渲染模块，性能要求特别高，就可以用C/C++重写，而后封装为Python可以调用的扩展类库。

import media

def red_average(pic):

'''Return an integer that represents the average red of the picture.

'''

total=0

for pixel in pic:

total = total + media.get_red(pixel)

red_average = total / (media.get_width(pic)*media.get_height(pic))

return red_average

def green_average(pic):

'''Return an integer that represents the average green of the picture

'''

total = 0

for pixel in pic:

total = total + media.get_green(pixel)

green_average = total / (media.get_width(pic)*media.get_height(pic))

return green_average

def blue_average(pic):

'''Return an integer that represents the average blue of the picture

'''

total = 0

for pixel in pic:

total = total + media.get_blue(pixel)

blue_average = total / (media.get_width(pic)*media.get_height(pic))

return blue_average

def scale_red(pic, value):

'''Return the picture that the average of the red is value which has been set.

'''

averaged = red_average(pic)

factor = float(value) / averaged

for pixel in pic:

new_red = min(255, int(factor * media.get_red(pixel)))

media.set_red(pixel,new_red)

return pic

def scale_green(pic, value):

'''Return the picture that the average of the green is value which has been set.

'''

averaged = green_average(pic)

factor = float(value) / averaged

for pixel in pic:

new_green = min(255, int(factor * media.get_green(pixel)))

media.set_green(pixel,new_green)

return pic

def scale_blue(pic, value):

'''Return the picture that the average of the blue is value which has been set.

'''

averaged = blue_average(pic)

factor = float(value) / averaged

for pixel in pic:

new_blue = min(255, int(factor * media.get_blue(pixel)))

media.set_blue(pixel,new_blue)

return pic

def expand_height(pic, factor):

'''Return a newpicture that has been vertically stretched by the factor which has been set.

'''

new_width = pic.get_width()

new_height = pic.get_height()*factor

newpic = media.create_pic(new_width, new_height, media.black)

for pixel in pic:

x = media.get_x(pixel)

y = media.get_y(pixel)

newpixel = media.get_pixel(newpic, x, y*factor)

for newpixel in newpic:

new_red = media.get_red(pixel)

new_green = media.get_green(pixel)

new_blue = media.get_blue(pixel)

media.set_red(newpixel,new_red)

media.set_green(newpixel,new_green)

media.set_blue(newpixel,new_blue)

return newpic

def expand_width(pic,factor):

'''Return a newpicture that has been horizontally stretched by the factor which has been set.

'''

new_width = pic.get_width() * factor

new_height = pic.get_height()

newpic = media.create_pic(new_width,new_height,media.black)

for newpixel in newpic:

x = media.get_x(newpixel)

y = media.get_y(newpixel)

pixel = media.get_pixel(pic,x / factor, y)

new_red = media.get_red(pixel)

new_green = media.get_green(pixel)

new_blue = media.get_blue(pixel)

media.set_red(newpixel,new_red)

media.set_green(newpixel,new_green)

media.set_blue(newpixel,new_blue)

return newpic

def reduce_height(pic, factor):

'''return a new pic that has been compressed vertically by the factor which has been set

'''

# Create a new, all-black pic with the appropriate new height and

# old width(all colour components are zero).

new_width = pic.get_width

new_height = (pic.get_height() - 1) / factor + 1

newpic = media.create_pic(new_width, new_height, media.black)

# Iterate through all the pixels in the original (large) image, and copy

# a portion of each pixel's colour components into the correct

# pixel position in the smaller image.

for pixel in pic:

# Find the corresponding pixel in the new pic.

x = media.get_x(pixel)

y = media.get_y(pixel)

newpixel = media.get_pixel(newpic, x, y / factor)

# Add the appropriate fraction of this pixel's colour components

# to the components of the corresponding pixel in the new pic.

new_red = newpixel.get_red()+pixel.get_red()/factor

new_green = newpixel.get_green()+pixel.get_green()/factor

new_blue = newpixel.get_blue()+pixel.get_blue()/fctor

media.set_red(newpixel,new_red)

media.set_green(newpixel,new_green)

media.set_blue(newpixel,new_blue)

return newpic

def reduce_width(pic,factor):

'''Return a newpic that has been horizontally compressed by the factor which has been set.

'''

new_width = (media.get_width() - 1) / factor + 1

new_height = media.get_height()

newpic = media.create_pic(new_width, new_height, media.black)

for pixel in pic:

x = media.get_x(pixel)

y = media.get_y(pixel)

new_pixel = media.get_pixel(newpic, x / factor, y)

new_red = newpixel.get_red() + pixel.get_red() / factor

new_green = newpixel.get_green() + pixel.get() / factor

new_blue = newpixel.get_blue() + pixel.get()/factor

media.set_red(newpixel, new_red)

media.set_green(newpixel, new_green)

media.set_blue(newpixel, new_blue)

return newpic

def distance(pixel1, pixel2):

red1 = media.get_red(pixel1)

green1 = media.get_green(pixel1)

blue1 = media.get_blue(pixel1)

red2 = media.get_red(pixel2)

green2 = media.get_green(pixel2)

blue2 = media.get_blue(pixel2)

sum = abs(red1 -red2) + abs(green1 - green2) + abs(blue1 - blu2)

return sum

def simple_difference(pic1, pic2):

for pixel in pic1:

x = media.get_x(pixel)

y = media.get_y(pixel)

pixel2 = media.get_pixel(pic2, x, y)

sum = media.distance(pixel, pixel2)

return sum

def smart_difference(pic1,pic2):

height1 = media.get_height(pic1)

height2 = media.get_height(pic2)

factorh = float(height1 / height2)

if factorh >= 1:

height1 = media.reduce_height(pic1, factorh)

else:

height2 = media.reduce_height(pic2, 1 / factorh)

width1 = media.get_width(pic1)

width2 = media.get_width(pic2)

factorw = float(width1 / width2)

if factorw >= 1:

width1 = reduce_width(pic1, factorw)

else:

width2 = reduce_width(pic2, 1 / factorw)

red1 = red_average(pic1)

green1 = green_average(pic1)

blue1 = blue_average(pic1)

red2 = media.scale_red(pic2, red1)

green2 = media.scale_green(pic2, green1)

blue2 = media.scale_blue(pic2, blue1)

#if __name__ == '__main__':

#media.show(newpic)

from PIL import Imageimport os#import hashlib def getGray(image_file): tmpls=[] for h in range(0, image_file.size[1]):#h for w in range(0, image_file.size[0]):#w tmpls.append( image_file.getpixel((w,h)) ) return tmpls def getAvg(ls):#获取平均灰度值 return sum(ls)/len(ls) def getMH(a,b):#比较100个字符有几个字符相同 dist = 0 for i in range(0,len(a)): if a[i]==b[i]: dist=dist+1 return dist def getImgHash(fne): image_file = Image.open(fne) # 打开 image_file=image_file.resize((12, 12))#重置图片大小我12px X 12px image_file=image_file.convert("L")#转256灰度图 Grayls=getGray(image_file)#灰度集合 avg=getAvg(Grayls)#灰度平均值 bitls=''#接收获取0或1 #除去变宽1px遍历像素 for h in range(1, image_file.size[1]-1):#h for w in range(1, image_file.size[0]-1):#w if image_file.getpixel((w,h))>=avg:#像素的值比较平均值 大于记为1 小于记为0bitls=bitls+'1' else:bitls=bitls+'0' return bitls''' m2 = hashlib.md5()m2.update(bitls) print m2.hexdigest(),bitls return m2.hexdigest()'''a=getImgHash("./Test/测试图片.jpg")#图片地址自行替换files = os.listdir("./Test")#图片文件夹地址自行替换for file in files: b=getImgHash("./Test/"+str(file)) compare=getMH(a,b) print file,u'相似度',str(compare)+'%'

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