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

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。

其他回答

现在我在用ImageMagick。我将帧保存为PNG文件,然后从Python中调用ImageMagick的convert.exe来创建一个动画GIF。这种方法的好处是我可以为每一帧单独指定帧持续时间。不幸的是,这取决于ImageMagick安装在机器上。他们有一个Python包装器,但它看起来很糟糕,不受支持。还在考虑其他建议。

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

它不是一个python库,但mencoder可以做到这一点:从多个输入图像文件编码。你可以像这样从python中执行mencoder:

import os

os.system("mencoder ...")
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。

正如上面提到的一个成员,imageio是一种很好的方法。imageio还允许你设置帧速率,我实际上用Python写了一个函数,允许你设置最后一帧的暂停。我将此函数用于科学动画,其中循环是有用的,但立即重新启动不是。下面是链接和函数:

如何使用Python制作GIF

import matplotlib.pyplot as plt
import os
import imageio

def gif_maker(gif_name,png_dir,gif_indx,num_gifs,dpi=90):
    # make png path if it doesn't exist already
    if not os.path.exists(png_dir):
        os.makedirs(png_dir)

    # save each .png for GIF
    # lower dpi gives a smaller, grainier GIF; higher dpi gives larger, clearer GIF
    plt.savefig(png_dir+'frame_'+str(gif_indx)+'_.png',dpi=dpi)
    plt.close('all') # comment this out if you're just updating the x,y data

    if gif_indx==num_gifs-1:
        # sort the .png files based on index used above
        images,image_file_names = [],[]
        for file_name in os.listdir(png_dir):
            if file_name.endswith('.png'):
                image_file_names.append(file_name)       
        sorted_files = sorted(image_file_names, key=lambda y: int(y.split('_')[1]))

        # define some GIF parameters

        frame_length = 0.5 # seconds between frames
        end_pause = 4 # seconds to stay on last frame
        # loop through files, join them to image array, and write to GIF called 'wind_turbine_dist.gif'
        for ii in range(0,len(sorted_files)):       
            file_path = os.path.join(png_dir, sorted_files[ii])
            if ii==len(sorted_files)-1:
                for jj in range(0,int(end_pause/frame_length)):
                    images.append(imageio.imread(file_path))
            else:
                images.append(imageio.imread(file_path))
        # the duration is the time spent on each image (1/duration is frame rate)
        imageio.mimsave(gif_name, images,'GIF',duration=frame_length)