blocks|key|1401403|text|对于PyMedia、ASF或PIL文件，简单的PyMedia和MPEG组合就可以完成此任务。PyMedia允许您提取帧(使用解码器()例程)，而PIL有一个简单的thumbnail()例程。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1401404|entityMap|0|LINK|mutability|MUTABLE|url|http://pymedia.org/|1|http://www.pythonware.com/products/pil/|2^0|2|7|0|E|3|1|N|7|2|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@$A|P|B|Q|1|R]|$A|S|B|T|1|U]|$A|V|B|W|1|X]]|C|$]]|$1|D|3|-4|5|6|7|Y|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]|N|$5|G|H|I|C|$J|K]]]]

A simple combination of <a href="http://pymedia.org/" rel="nofollow noreferrer">PyMedia</a> and <a href="http://www.pythonware.com/products/pil/" rel="nofollow noreferrer">PIL</a> would do the trick for AVI, ASF, or MPEG files. PyMedia lets you extract the frames (using the decoder() routine), while PIL has a simple thumbnail() routine.

blocks|key|1186157|text|我无法在OSX+Sierra上安装ffvideo，所以我决定使用ffmpeg。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1186158|OSX：|1186159|brew+install+ffmpeg|code-block|syntax|javascript|1186160|Linux：|1186161|apt-get+install+ffmpeg|1186162|Python+3代码：|1186163|import+subprocess
video_input_path+=+'/your/video.mp4'
img_output_path+=+'/your/image.jpg'
subprocess.call(['ffmpeg',+'-i',+video_input_path,+'-ss',+'00:00:00.000',+'-vframes',+'1',+img_output_path])|1186164|entityMap^0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|T|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|V|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|W|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|X|8|@]|9|@]|A|$]]|$1|O|3|P|5|F|7|Y|8|@]|9|@]|A|$G|H]]|$1|Q|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]]|R|$]]

I could not install ffvideo on OSX Sierra so i decided to work with ffmpeg.

OSX:

<pre><code>brew install ffmpeg
</code></pre>

Linux:

<pre><code>apt-get install ffmpeg
</code></pre>

Python 3 Code:

<pre><code>import subprocess
video_input_path = '/your/video.mp4'
img_output_path = '/your/image.jpg'
subprocess.call(['ffmpeg', '-i', video_input_path, '-ss', '00:00:00.000', '-vframes', '1', img_output_path])
</code></pre>

blocks|key|1401467|text|您可以使用ffvideo|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1401468|from+ffvideo+import+VideoStream
pil_image+=+VideoStream('0.flv').get_frame_at_sec(5).image()
pil_image.save('frame5sec.jpeg')|code-block|syntax|javascript|1401469|entityMap|0|LINK|mutability|MUTABLE|url|https://bitbucket.org/zakhar/ffvideo/wiki/Home^0|5|7|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

You can use <a href="https://bitbucket.org/zakhar/ffvideo/wiki/Home" rel="noreferrer">ffvideo</a>

<pre class="lang-py prettyprint-override"><code>from ffvideo import VideoStream
pil_image = VideoStream('0.flv').get_frame_at_sec(5).image()
pil_image.save('frame5sec.jpeg')
</code></pre>

blocks|key|1186132|text|import+cv2
vcap+=+cv2.VideoCapture(filename)
res,+im_ar+=+vcap.read()
while+im_ar.mean()+<+threshold+and+res:
++++++res,+im_ar+=+vcap.read()
im_ar+=+cv2.resize(im_ar,+(thumb_width,+thumb_height),+0,+0,+cv2.INTER_LINEAR)
#to+save+we+have+two+options
#1)+save+on+a+file
cv2.imwrite(save_on_filename,+im_ar)
#2)save+on+a+buffer+for+direct+transmission
res,+thumb_buf+=+cv2.imencode('.png',+im_ar)
#+'.jpeg'+etc+are+permitted
#get+the+bytes+content
bt+=+thumb_buf.tostring()|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1186133|“阈值”是一个整数。当你得到一个视频帧时，它可以是非常黑的，白色的，等等。要得到一些好的缩略图，你可以指定帧中所有像素的平均值。|unstyled|1186134|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre><code>import cv2
vcap = cv2.VideoCapture(filename)
res, im_ar = vcap.read()
while im_ar.mean() &lt; threshold and res:
 res, im_ar = vcap.read()
im_ar = cv2.resize(im_ar, (thumb_width, thumb_height), 0, 0, cv2.INTER_LINEAR)
#to save we have two options
#1) save on a file
cv2.imwrite(save_on_filename, im_ar)
#2)save on a buffer for direct transmission
res, thumb_buf = cv2.imencode('.png', im_ar)
# '.jpeg' etc are permitted
#get the bytes content
bt = thumb_buf.tostring()
</code></pre>

"threshold" is an integer. When you get a video frame it can be very black, white etc to get some good thumbnail you can specify the mean value of all the pixel in the frame.

blocks|key|1401461|text|您可以使用Youtube+API进行存储和转码，并免费获取提要缩略图。老实说，这是处理在线视频的最简单的方式，我不只是一个第三方服务的先令，我是一个非常高兴的用户的API和我能够删除的内部视频路径感谢它。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1401462|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

You could use the Youtube API for storage and transcoding and grab the feed thumbnails for free. Honestly, that's the easiest way to handle online video and I'm not just shilling a 3rd party service, I'm a very happy user of that API and the internal video paths I was able to delete thanks to it.

blocks|key|1186267|text|使用pyffmpeg|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1186268|安装|1186269|pip+install+pyffmpeg|code-block|syntax|javascript|1186270|使用|1186271|from+pyffmpeg+import+FFmpeg

inf+=+'vid.mp4'
outf+=+'thumb.jpg'

ff+=+FFmpeg()
ff.convert(inf,+outf)|1186272|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|P|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|Q|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|R|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

Use pyffmpeg
Install
<pre><code>pip install pyffmpeg
</code></pre>
Use
<pre><code>from pyffmpeg import FFmpeg

inf = 'vid.mp4'
outf = 'thumb.jpg'

ff = FFmpeg()
ff.convert(inf, outf)
</code></pre>

blocks|key|1185928|text|研究一下ImageMagick的Python接口PythonMagick。它应该有你需要的东西。(免责声明:我以前没有使用过Python接口，但我知道ImageMagick是很好的mojo。)|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1185929|entityMap|0|LINK|mutability|MUTABLE|url|http://www.imagemagick.org/download/python/^0|O|C|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

Look into <a href="http://www.imagemagick.org/download/python/" rel="nofollow noreferrer">PythonMagick</a>, a Python interface to ImageMagick. That should have what you need. (Disclaimer: I haven't used the Python interface before, but I know ImageMagick is good mojo.)

blocks|key|1186250|text|您可以使用GitHub上的Python脚本pyvideothumbnailer，该脚本使用MoviePy、MediaInfo和PIL+fork+Pillow。它应该能为你完成所有的工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1186251|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/hhtznr/pyvideothumbnailer|1|https://github.com/Zulko/moviepy|2|https://github.com/sbraz/pymediainfo|3|https://python-pillow.org/^0|L|I|0|19|7|1|1H|9|2|20|6|3|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]|$A|V|B|W|1|X]|$A|Y|B|Z|1|10]|$A|11|B|12|1|13]]|C|$]]|$1|D|3|-4|5|6|7|14|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]|N|$5|G|H|I|C|$J|O]]|P|$5|G|H|I|C|$J|Q]]]]

You can use the Python script <a href="https://github.com/hhtznr/pyvideothumbnailer" rel="nofollow noreferrer">pyvideothumbnailer</a> found on GitHub, which uses <a href="https://github.com/Zulko/moviepy" rel="nofollow noreferrer">MoviePy</a>, <a href="https://github.com/sbraz/pymediainfo" rel="nofollow noreferrer">MediaInfo</a> and the PIL fork <a href="https://python-pillow.org/" rel="nofollow noreferrer">Pillow</a>. It should do the complete job for you.

I need to create thumbnails for a video file once I've uploaded to a webapp running python.

How would I go about this... I need a library that can basically either do this for me, or that can read the image frames out of video files (of several formats) automatically.

Creating thumbnails from video files with Python

Python

GitHub

Linux

我需要为视频文件创建缩略图，一旦我上传到运行python的webapp应用程序。我该怎么做呢...我需要一个库，它基本上可以为我做这件事，或者可以从视频文件中自动读取图像帧(几种格式)。

问使用Python从视频文件创建缩略图
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回答 8

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