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2018-06-22
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摘要：本文将带你了解IOS开发之教你还原iOS图片，希望本文对大家学IOS有所帮助。
python脚本恢复iOS程序中的png图片。
使用方法：
1、把ipin.py放到要恢复的.png图片一个目录里
2、打开终端，cd到此目录。
3、输入 python ipin.py
4、根据提示信息输入 Y,回车。这样就能把图片还原到可以查看了。
[python] view plain copy
1. #---
2. # iPIN - iPhone PNG Images Normalizer v1.0
3. # Copyright (C) 2007
4. #
5. # Author:
6. # Axel E. Brzostowski
7. # //www.axelbrz.com.ar/
8. # axelbrz@gmail.com
9. #
10. # References:
11. # //iphone.fiveforty.net/wiki/index.php/PNG_Images
12. # //www.libpng.org/pub/png/spec/1.2/PNG-Contents.html
13. #
14. # This program is free software: you can redistribute it and/or modify
15. # it under the terms of the GNU General Public License as published by
16. # the Free Software Foundation, either version 3 of the License.
17. #
18. # This program is distributed in the hope that it will be useful,
19. # but WITHOUT ANY WARRANTY; without even the implied warranty of
20. # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
21. # GNU General Public License for more details.
22. #
23. #---
24.
25. from struct import *
26. from zlib import *
27. import stat
28. import sys
29. import os
30.
31. def getNormalizedPNG(filename):
32. pngheader = "\x89PNG\r\n\x1a\n"
33.
34. file = open(filename, "rb")
35. oldPNG = file.read()
36. file.close()
37.
38. if oldPNG[:8] != pngheader:
39. return None
40.
41. newPNG = oldPNG[:8]
42.
43. chunkPos = len(newPNG)
44.
45. # For each chunk in the PNG file
46. while chunkPos < len(oldPNG):
47.
48. # Reading chunk
49. chunkLength = oldPNG[chunkPos:chunkPos+4]
50. chunkLength = unpack(">L", chunkLength)[0]
51. chunkType = oldPNG[chunkPos+4 : chunkPos+8]
52. chunkData = oldPNG[chunkPos+8:chunkPos+8+chunkLength]
53. chunkCRC = oldPNG[chunkPos+chunkLength+8:chunkPos+chunkLength+12]
54. chunkCRC = unpack(">L", chunkCRC)[0]
55. chunkPos += chunkLength + 12
56.
57. # Parsing the header chunk
58. if chunkType == "IHDR":
59. width = unpack(">L", chunkData[0:4])[0]
60. height = unpack(">L", chunkData[4:8])[0]
61.
62. # Parsing the image chunk
63. if chunkType == "IDAT":
64. try:
65. # Uncompressing the image chunk
66. bufSize = width * height * 4 + height
67. chunkData = decompress( chunkData, -8, bufSize)
68.
69. except Exception, e:
70. # The PNG image is normalized
71. return None
72.
73. # Swapping red & blue bytes for each pixel
74. newdata = ""
75. for y in xrange(height):
76. i = len(newdata)
77. newdata += chunkData[i]
78. for x in xrange(width):
79. i = len(newdata)
80. newdata += chunkData[i+2]
81. newdata += chunkData[i+1]
82. newdata += chunkData[i+0]
83. newdata += chunkData[i+3]
84.
85. # Compressing the image chunk
86. chunkData = newdata
87. chunkData = compress( chunkData )
88. chunkLength = len( chunkData )
89. chunkCRC = crc32(chunkType)
90. chunkCRC = crc32(chunkData, chunkCRC)
91. chunkCRC = (chunkCRC + 0x100000000) % 0x100000000
92.
93. # Removing CgBI chunk
94. if chunkType != "CgBI":
95. newPNG += pack(">L", chunkLength)
96. newPNG += chunkType
97. if chunkLength > 0:
98. newPNG += chunkData
99. newPNG += pack(">L", chunkCRC)
100.
101. # Stopping the PNG file parsing
102. if chunkType == "IEND":
103. break
104.
105. return newPNG
106.
107. def updatePNG(filename):
108. data = getNormalizedPNG(filename)
109. if data != None:
110. file = open(filename, "wb")
111. file.write(data)
112. file.close()
113. return True
114. return data
115.
116. def getFiles(base):
117. global _dirs
118. global _pngs
119. if base == ".":
120. _dirs = []
121. _pngs = []
122.
123. if base in _dirs:
124. return
125.
126. files = os.listdir(base)
127. for file in files:
128. filepath = os.path.join(base, file)
129. try:
130. st = os.lstat(filepath)
131. except os.error:
132. continue
133.
134. if stat.S_ISDIR(st.st_mode):
135. if not filepath in _dirs:
136. getFiles(filepath)
137. _dirs.append( filepath )
138.
139. elif file[-4:].lower() == ".png":
140. if not filepath in _pngs:
141. _pngs.append( filepath )
142.
143. if base == ".":
144. return _dirs, _pngs
145.
146. print "-----------------------------------"
147. print " iPhone PNG Images Normalizer v1.0"
148. print "-----------------------------------"
149. print " "
150. print "[+] Searching PNG files...",
151. dirs, pngs = getFiles(".")
152. print "ok"
153.
154. if len(pngs) == 0:
155. print " "
156. print "[!] Alert: There are no PNG files found. Move this python file to the folder that contains the PNG files to normalize."
157. exit()
158.
159. print " "
160. print " - %d PNG files were found at this folder (and subfolders)." % len(pngs)
161. print " "
162. while True:
163. normalize = raw_input("[?] Do you want to normalize all images (Y/N)? ").lower()
164. if len(normalize) > 0 and (normalize[0] == "y" or normalize[0] == "n"):
165. break
166.
167. normalized = 0
168. if normalize[0] == "y":
169. for ipng in xrange(len(pngs)):
170. perc = (float(ipng) / len(pngs)) * 100.0
171. print "%.2f%% %s" % (perc, pngs[ipng])
172. if updatePNG(pngs[ipng]):
173. normalized += 1
174. print " "
175. print "[+] %d PNG files were normalized." % normalized
本文由职坐标整理并发布，希望对同学们有所帮助。了解更多详情请关注职坐标移动开发之IOS频道！
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