本文实例讲述了python图像处理之gif动态图的解析与合成操作。分享给大家供大家参考，具体如下：
gif动态图是在现在已经司空见惯，朋友圈里也经常是一言不合就斗图。这里，就介绍下如何使用python来解析和生成gif图像。
一、gif动态图的合成
如下图，是一个gif动态图。
gif动态图的解析可以使用pil图像模块即可，具体代码如下：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
|
#-*- coding: utf-8 -*-import osfrom pil import imagedef analyseimage(path): ''' pre-process pass over the image to determine the mode (full or additive). necessary as assessing single frames isn't reliable. need to know the mode before processing all frames. ''' im = image.open(path) results = { 'size': im.size, 'mode': 'full', } try: while true: if im.tile: tile = im.tile[0] update_region = tile[1] update_region_dimensions = update_region[2:] if update_region_dimensions != im.size: results['mode'] = 'partial' break im.seek(im.tell() + 1) except eoferror: pass return resultsdef processimage(path): ''' iterate the gif, extracting each frame. ''' mode = analyseimage(path)['mode'] im = image.open(path) i = 0 p = im.getpalette() last_frame = im.convert('rgba') try: while true: print "saving %s (%s) frame %d, %s %s" % (path, mode, i, im.size, im.tile) ''' if the gif uses local colour tables, each frame will have its own palette. if not, we need to apply the global palette to the new frame. ''' if not im.getpalette(): im.putpalette(p) new_frame = image.new('rgba', im.size) ''' is this file a "partial"-mode gif where frames update a region of a different size to the entire image? if so, we need to construct the new frame by pasting it on top of the preceding frames. ''' if mode == 'partial': new_frame.paste(last_frame) new_frame.paste(im, (0,0), im.convert('rgba')) new_frame.save('%s-%d.png' % (''.join(os.path.basename(path).split('.')[:-1]), i), 'png') i += 1 last_frame = new_frame im.seek(im.tell() + 1) except eoferror: passdef main(): processimage('test_gif.gif')if __name__ == "__main__": main() |
解析结果如下，由此可见改动态图实际上是由14张相同分辨率的静态图组合而成
二、gif动态图的合成
gif图像的合成，使用imageio库（https://pypi.python.org/pypi/imageio）
代码如下：
|
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
|
#-*- coding: utf-8 -*-import imageiodef create_gif(image_list, gif_name): frames = [] for image_name in image_list: frames.append(imageio.imread(image_name)) # save them as frames into a gif imageio.mimsave(gif_name, frames, 'gif', duration = 0.1) returndef main(): image_list = ['test_gif-0.png', 'test_gif-2.png', 'test_gif-4.png', 'test_gif-6.png', 'test_gif-8.png', 'test_gif-10.png'] gif_name = 'created_gif.gif' create_gif(image_list, gif_name)if __name__ == "__main__": main() |
这里，使用第一步解析出来的图像中的8幅图，间副的间隔时间为0.1s，合成新的gif动态图如下：
希望本文所述对大家python程序设计有所帮助。
原文链接：https://blog.csdn.net/guduruyu/article/details/77540445
