我有一系列的图片，我想从中创建一个视频。理想情况下，我可以为每帧指定帧持续时间，但固定的帧速率也可以。我在wxPython中这样做，所以我可以渲染到wxDC或我可以将图像保存到文件，如PNG。是否有一个Python库，将允许我创建一个视频(AVI, MPG等)或一个动画GIF从这些帧?
编辑:我已经尝试过PIL，它似乎不起作用。有人能用这个结论来纠正我吗?这个链接似乎支持我关于PIL的结论:http://www.somethinkodd.com/oddthinking/2005/12/06/python-imaging-library-pil-and-animated-gifs/
当前回答
下面是如何使用PIL (install with: pip install Pillow):
import glob
import contextlib
from PIL import Image
# filepaths
fp_in = "/path/to/image_*.png"
fp_out = "/path/to/image.gif"
# use exit stack to automatically close opened images
with contextlib.ExitStack() as stack:
# lazily load images
imgs = (stack.enter_context(Image.open(f))
for f in sorted(glob.glob(fp_in)))
# extract first image from iterator
img = next(imgs)
# https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
img.save(fp=fp_out, format='GIF', append_images=imgs,
save_all=True, duration=200, loop=0)
查看文档:https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
其他回答
下面是如何使用PIL (install with: pip install Pillow):
import glob
import contextlib
from PIL import Image
# filepaths
fp_in = "/path/to/image_*.png"
fp_out = "/path/to/image.gif"
# use exit stack to automatically close opened images
with contextlib.ExitStack() as stack:
# lazily load images
imgs = (stack.enter_context(Image.open(f))
for f in sorted(glob.glob(fp_in)))
# extract first image from iterator
img = next(imgs)
# https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
img.save(fp=fp_out, format='GIF', append_images=imgs,
save_all=True, duration=200, loop=0)
查看文档:https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
我尝试了以下方法，非常有用:
首先下载Figtodat和images2gif库到本地目录。
其次，收集数组中的图形并将其转换为动画gif:
import sys
sys.path.insert(0,"/path/to/your/local/directory")
import Figtodat
from images2gif import writeGif
import matplotlib.pyplot as plt
import numpy
figure = plt.figure()
plot = figure.add_subplot (111)
plot.hold(False)
# draw a cardinal sine plot
images=[]
y = numpy.random.randn(100,5)
for i in range(y.shape[1]):
plot.plot (numpy.sin(y[:,i]))
plot.set_ylim(-3.0,3)
plot.text(90,-2.5,str(i))
im = Figtodat.fig2img(figure)
images.append(im)
writeGif("images.gif",images,duration=0.3,dither=0)
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。
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
我建议不要使用visvis的images2gif，因为它有PIL/Pillow的问题，并且没有积极维护(我应该知道，因为我是作者)。
相反，请使用imageio，它是为解决这个问题而开发的，并打算保留。
快速而肮脏的解决方案:
import imageio
images = []
for filename in filenames:
images.append(imageio.imread(filename))
imageio.mimsave('/path/to/movie.gif', images)
对于较长的电影，使用流媒体方法:
import imageio
with imageio.get_writer('/path/to/movie.gif', mode='I') as writer:
for filename in filenames:
image = imageio.imread(filename)
writer.append_data(image)
