传统弱校HFUT的蒟蒻,真相只有一个

python 工具 图片批量合并

注:代码两处设置 region = (4,3,x-3,y-5) 目的是crop剪去图片的白边,这个可以视情况改变

图片需要命名为   x_1.png   .....这样的格式

 

#encoding=utf-8
 
import numpy as np
from PIL import Image
import glob
 
if __name__=='__main__':
    prefix="x"
    files=glob.glob(prefix+'_*')
    num=len(files)
 
    filename_lens=[len(x) for x in files] #length of the files
    min_len=min(filename_lens) #minimal length of filenames
    max_len=max(filename_lens) #maximal length of filenames
    if min_len==max_len:#the last number of each filename has the same length
        files=sorted(files) #sort the files in ascending order
    else:#maybe the filenames are:x_0.png ... x_10.png ... x_100.png
        index=[0 for x in range(num)]
        for i in range(num):
            filename=files[i]
            start=filename.rfind('_')+1
            end=filename.rfind('.')
            file_no=int(filename[start:end])
            index[i]=file_no
        index=sorted(index)
        files=[prefix+'_'+str(x)+'.png' for x in index]
 
    print(files[0])
    baseimg=Image.open(files[0])
    x, y=baseimg.size
    region = (4,3,x-3,y-5)
    baseimg= baseimg.crop(region)
    sz=baseimg.size
    basemat=np.atleast_2d(baseimg)
    for i in range(1,num):
        file=files[i]
        im=Image.open(file)
        x, y=baseimg.size
        region = (4,3,x-3,y-5)
        im= im.crop(region)
        im=im.resize(sz,Image.ANTIALIAS)
        mat=np.atleast_2d(im)
        print(file)
        basemat=np.append(basemat,mat,axis=1)
    final_img=Image.fromarray(basemat)
    final_img.save('merged.bmp')

 

posted @ 2018-07-10 17:31  未名亚柳  阅读(1439)  评论(0编辑  收藏  举报