python切割图集

shoebox导出的散图各帧的中心点不统一，这种情况可以通过该图集对应的json或者plist文件读取单张图片的区域进行导出。

##通常可使用shoebox

官网地址：http://renderhjs.net/shoebox/

## json格式

```

# -*- coding: utf-8 -*-

import os,sys

import json

import os

import os.path

from PIL import Image

def json_to_dict(json_filename):

json_file = open(json_filename, 'r')

all_pic_dic = json.load(json_file)

all_item_list = []

for one_pic_item in all_pic_dic['res']:

one_json_item = all_pic_dic['res'][one_pic_item]

one_item = {}

one_item['name'] = one_pic_item.strip().lstrip().rstrip(',')

one_item['x'] = one_json_item['x']

one_item['y'] = one_json_item['y']

one_item['w'] = one_json_item['w']

one_item['h'] = one_json_item['h']

all_item_list.append(one_item)

return all_item_list

def gen_png_from_json(folder_name, json_filename, png_filename):

big_image = Image.open(png_filename)

all_item_list = json_to_dict(json_filename)

print 'gen_png_from_json:' + folder_name

#清理掉原目录

#os.removedirs(folder_name)

os.mkdir(folder_name)

for i, one_item_data in enumerate(all_item_list):

file_name = one_item_data['name']

x = one_item_data['x']

y = one_item_data['y']

w = one_item_data['w']

h = one_item_data['h']

#设置图像裁剪区域 (x左上，y左上，x右下,y右下)

image_box = [x, y, x + w , y + h ]

one_pic = big_image.crop(image_box)

one_pic.save(folder_name + "/" + file_name + '.png') # 存储裁剪得到的图像

#print one_item_data

```

# plist格式

```

#!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)

os.mkdir(file_path)

outfile = (file_path+'/' + k).replace('gift_', '')

print outfile, "generated"

result_image.save(outfile)

```

注：python依赖PIL,本文使用Python Imaging Library 1.1.7 for Python 2.7

官网http://www.pythonware.com/products/pil/安装完后执行

cd C:\Python27\scripts\

pip install pillow

完整示例: https://github.com/l2xin/UnpackSpriteSheet