安装

pip install imageio-ffmpeg
pip install imageio

Code

import imageio
images = []
for filename in filenames:
    images.append(imageio.imread(filename))
imageio.mimsave('movie.mp4', images)

当保存为mp4而不是gif时，质量提高，大小从8Mb减少到80Kb

我偶然发现了PIL的ImageSequence模块，它提供了更好(更标准)的GIF动画。这次我也使用了Tk的after()方法，这比time.sleep()更好。

from Tkinter import * 
from PIL import Image, ImageTk, ImageSequence

def stop(event):
  global play
  play = False
  exit() 

root = Tk()
root.bind("<Key>", stop) # Press any key to stop
GIFfile = {path_to_your_GIF_file}
im = Image.open(GIFfile); img = ImageTk.PhotoImage(im)
delay = im.info['duration'] # Delay used in the GIF file 
lbl = Label(image=img); lbl.pack() # Create a label where to display images
play = True;
while play:
  for frame in ImageSequence.Iterator(im):
    if not play: break 
    root.after(delay);
    img = ImageTk.PhotoImage(frame)
    lbl.config(image=img); root.update() # Show the new frame/image

root.mainloop()

老问题，有很多很好的答案，但可能仍然对另一种选择感兴趣……

我最近在github (https://github.com/WarrenWeckesser/numpngw)上发布的numpngw模块可以从numpy数组写入动画PNG文件。(更新:numpngw现在在pypi: https://pypi.python.org/pypi/numpngw。)

例如，这个脚本:

import numpy as np
import numpngw


img0 = np.zeros((64, 64, 3), dtype=np.uint8)
img0[:32, :32, :] = 255
img1 = np.zeros((64, 64, 3), dtype=np.uint8)
img1[32:, :32, 0] = 255
img2 = np.zeros((64, 64, 3), dtype=np.uint8)
img2[32:, 32:, 1] = 255
img3 = np.zeros((64, 64, 3), dtype=np.uint8)
img3[:32, 32:, 2] = 255
seq = [img0, img1, img2, img3]
for img in seq:
    img[16:-16, 16:-16] = 127
    img[0, :] = 127
    img[-1, :] = 127
    img[:, 0] = 127
    img[:, -1] = 127

numpngw.write_apng('foo.png', seq, delay=250, use_palette=True)

创建:

你需要一个支持动画PNG的浏览器(直接或带有插件)才能看到动画。

我使用images2gif.py，这很容易使用。它似乎是文件大小的两倍。

26个110kb的PNG文件，我期望26*110kb = 2860kb，但my_gif.GIF是5.7mb

另外，因为GIF是8位的，好看的png在GIF中变得有点模糊

下面是我使用的代码:

__author__ = 'Robert'
from images2gif import writeGif
from PIL import Image
import os

file_names = sorted((fn for fn in os.listdir('.') if fn.endswith('.png')))
#['animationframa.png', 'animationframb.png', 'animationframc.png', ...] "

images = [Image.open(fn) for fn in file_names]

print writeGif.__doc__
# writeGif(filename, images, duration=0.1, loops=0, dither=1)
#    Write an animated gif from the specified images.
#    images should be a list of numpy arrays of PIL images.
#    Numpy images of type float should have pixels between 0 and 1.
#    Numpy images of other types are expected to have values between 0 and 255.


#images.extend(reversed(images)) #infinit loop will go backwards and forwards.

filename = "my_gif.GIF"
writeGif(filename, images, duration=0.2)
#54 frames written
#
#Process finished with exit code 0

以下是26帧中的3帧:

缩小图像会减小尺寸:

size = (150,150)
for im in images:
    im.thumbnail(size, Image.ANTIALIAS)

from PIL import Image
import glob  #use it if you want to read all of the certain file type in the directory
imgs=[]
for i in range(596,691): 
    imgs.append("snap"+str(i)+'.png')
    print("scanned the image identified with",i)  

标识不同文件名的索引的起始值和结束值+1

imgs = glob.glob("*.png") #do this if you want to read all files ending with .png

我的文件是:snap596.png, snap597.png ......snap690.png

frames = []
for i in imgs:
    new_frame = Image.open(i)
    frames.append(new_frame)

保存到一个GIF文件，永远循环

frames[0].save('fire3_PIL.gif', format='GIF',
    append_images=frames[1:],
    save_all=True,
    duration=300, loop=0)

我发现闪烁的问题与imageio和这个方法固定。

使用windows7, python2.7, opencv 3.0，以下工作为我:

import cv2
import os

vvw           =   cv2.VideoWriter('mymovie.avi',cv2.VideoWriter_fourcc('X','V','I','D'),24,(640,480))
frameslist    =   os.listdir('.\\frames')
howmanyframes =   len(frameslist)
print('Frames count: '+str(howmanyframes)) #just for debugging

for i in range(0,howmanyframes):
    print(i)
    theframe = cv2.imread('.\\frames\\'+frameslist[i])
    vvw.write(theframe)