分割带有plist的图片(TexturePacker)

阅读数:0次 2018-09-07

在cocos2dx开发中经常用到带有plist的图片集，虽然已经有了相应工具Anti_TexturePacker，还是想尝试了自己写了一个。
因为plist是xml文件，所以需要用到python的ElementTree解析xml。

texture.py：

try: 
    import xml.etree.cElementTree as ET 
except ImportError: 
    import xml.etree.ElementTree as ET 
import re
import sys

png_list = []
def loadpng(PngName):
	tree = ET.parse(PngName+ '.plist')
	root = tree.getroot()

	for kk in root.findall('dict'):
		for i in range(len(kk)):
			if kk[i].text == "frames":
				pngv = kk[i+1]
				
				for j in  range(len(pngv)):
					png_dict = {}
					if pngv[j].tag == 'key':
						# 把图片名称加入 dict
						png_dict['png'] = pngv[j].text
						png_list.append(png_dict)

						frame = pngv[j+1]
						for k in range(len(frame)):
							if frame[k].text == 'frame':
								# 把图片 坐标和 宽高加入 dict
								png_dict['pos'] = frame[k+1].text
							if frame[k].text == 'rotated':
								# 图片 是否旋转
								png_dict['rotated'] = frame[k+1].tag
	return splitpng()

def splitpng():
	# 过滤掉 位置字符串中的｛｝
	m = re.compile(u'[^{}]+')
	image_list = []

	for d in png_list:
		tmp = {}
		tmp['png'] = d['png']
		tmp['rotated'] = d['rotated']
		pos = d['pos'].split(',')
		pos_dict = {}
		for i in range(len(pos)):
			cn = m.findall(pos[i] )
			if i == 0:
				pos_dict['x'] = cn[0]
			elif i == 1:
				pos_dict['y'] = cn[0]
			elif i == 2:
				pos_dict['w'] = cn[0]
			elif i == 3:
				pos_dict['h'] = cn[0]
		tmp['pos'] = pos_dict
		image_list.append(tmp)

	return image_list

texture.py文件用于获取小图片的名称、坐标、宽高和旋转信息的dict

splitimage.py:

from PIL import Image
from texture import loadpng
import os 

PngName = "mainlayer"

def splitImg():
	# 创建同名文件夹，如果已经存在，则无需创建
	if os.path.exists(PngName) == False:
		os.mkdir(PngName)
	im = Image.open(PngName +'.png')
	image_list = loadpng(PngName)
	for img in image_list:
		png_name = img['png']    #每个小图片的名字
		pos = img['pos']         #每个小图片的坐标、长宽、是否旋转信息

		if img['rotated'] == 'true':
			box = ( int(pos['x']), int(pos['y']),  int(pos['x'])+int(pos['h']) ,int(pos['y']) + int(pos['w']) )
		else:
			box = ( int(pos['x']), int(pos['y']), int(pos['x']) + int(pos['w']), int(pos['y'])+int(pos['h']))
		region  = im.crop(box)
		
		if img['rotated'] == 'true':
			region = region.transpose(Image.ROTATE_90)

		region.save(PngName + '/' + png_name)


if __name__ == '__main__':
	splitImg()

splitimage.py使用了Pillow模块，根据相应的坐标等信息，切割图片，然后保存。

总结：

这里并不够完善，因为plist文件名称是写在代码里。可以继续完善的，不过，我只是练手用的，就告一段落了。