{var%20f='http://v.t.sina.com.cn/share/share.php?appkey=1515056452',u=z||d.location,p=['&url=',e(u),'&title=',e(t||d.title),'&source=',e(r),'&sourceUrl=',e(l),'&content=',c||'gb2312','&pic=',e(p||'')].join('');function%20a(){if(!window.open([f,p].join(''),'mb',['toolbar=0,status=0,resizable=1,width=440,height=430,left=',(s.width-440)/2,',top=',(s.height-430)/2].join('')))u.href=[f,p].join('');};if(/Firefox/.test(navigator.userAgent))setTimeout(a,0);else%20a();})(screen,document,encodeURIComponent,'','','https://www.manongdao.com/data/attach/logo/logo.png', '推荐 疯言疯语 的问题《Posthoc connect FFMPEG to opencv-python binary for》','https://www.manongdao.com/q-1122102.html','页面编码gb2312|utf-8默认gb2312'));){kind=link}
I would like to run some video processing jobs on linux based compute engines on Google Cloud DataFlow. Cloud DataFlow requires you to build a setup.py file, or supply dependencies in a requirements.txt.
https://cloud.google.com/dataflow/pipelines/dependencies-python
My video process requires opencv in python with FFMPEG support. I would like to avoid building opencv from source, as this takes nearly 35 minutes for each worker to git clone/make/make install.
There is a linux python binary .whl that works great. But its specifically compiled without FFMPEG.
From https://pypi.python.org/pypi/opencv-python
"IMPORTANT NOTE
MacOS and Linux wheels have currently some limitations:
video related functionality is not supported (not compiled with FFmpeg)"
Is it possible to post-hoc connect FFMPEG to the binary? That is download FFMPEG and its libraries separately and still read video? I know this is contrived, but are are there any options here besides building opencv from source for every new worker?