大图还原小图

在网上查找切图脚本时，百度经验上找到了python脚本，省去了手写的时间
尝试安装PIL方法时，网上方法尝试并不可用，这里将脚本与安装PIL做下记录

python切图脚本

#!python
import os,sys
from xml.etree import ElementTree
from PIL import Image
 
def tree_to_dict(tree):
    d = {}
    for index, item in enumerate(tree):
        if item.tag == 'key':
            if tree[index+1].tag == 'string':
                d[item.text] = tree[index + 1].text
            elif tree[index + 1].tag == 'true':
                d[item.text] = True
            elif tree[index + 1].tag == 'false':
                d[item.text] = False
            elif tree[index+1].tag == 'dict':
                d[item.text] = tree_to_dict(tree[index+1])
    return d
 
def gen_png_from_plist(plist_filename, png_filename):
    file_path = plist_filename.replace('.plist', '')
    big_image = Image.open(png_filename)
    root = ElementTree.fromstring(open(plist_filename, 'r').read())
    plist_dict = tree_to_dict(root[0])
    to_list = lambda x: x.replace('{','').replace('}','').split(',')
    for k,v in plist_dict['frames'].items():
        rectlist = to_list(v['frame'])
        width = int( rectlist[3] if v['rotated'] else rectlist[2] )
        height = int( rectlist[2] if v['rotated'] else rectlist[3] )
        box=( 
            int(rectlist[0]),
            int(rectlist[1]),
            int(rectlist[0]) + width,
            int(rectlist[1]) + height,
            )
        sizelist = [ int(x) for x in to_list(v['sourceSize'])]
        rect_on_big = big_image.crop(box)
 
        if v['rotated']:
            rect_on_big = rect_on_big.rotate(90)
 
        result_image = Image.new('RGBA', sizelist, (0,0,0,0))
        if v['rotated']:
            result_box=(
                ( sizelist[0] - height )/2,
                ( sizelist[1] - width )/2,
                ( sizelist[0] + height )/2,
                ( sizelist[1] + width )/2
                )
        else:
            result_box=(
                ( sizelist[0] - width )/2,
                ( sizelist[1] - height )/2,
                ( sizelist[0] + width )/2,
                ( sizelist[1] + height )/2
                )
        result_image.paste(rect_on_big, result_box, mask=0)
 
        if not os.path.isdir(file_path):
            os.mkdir(file_path)
        outfile = (file_path+'/' + k).replace('gift_', '')
        print outfile, "generated"
        result_image.save(outfile)
 
if __name__ == '__main__':
    filename = sys.argv[1]
    plist_filename = filename + '.plist'
    png_filename = filename + '.png'
    if (os.path.exists(plist_filename) and os.path.exists(png_filename)):
        gen_png_from_plist( plist_filename, png_filename )
    else:
        print "make sure you have boith plist and png files in the same directory"

PIL 安装方法

1. macOS

   sudo esay_install pip
   sudo pip install pillow
   

2. windows 64位

    链接: https://pan.baidu.com/s/1O0duduWue_btxGuiGe6kAg
    提取码: 9f1i
    安装完成后，进入Python编辑，再输入from PIL import Image检验PIL是否配置成功(如无提示错误即为安装成功)
   

脚本使用案例

• 将脚本文件放置放与.plist文件及对应的.png文件放于同级
• python split_img.py cardType

注：

• split_img.py 为脚本文件，cardType为文件名没有后缀
• 文件路径及文件名使用英文命名

文件整理分享： https://pan.baidu.com/s/1Grw9Ma8Ek8iDarvfMw7jEQ