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FFVideo - Python FFmpeg extension ================================= Based on https://bitbucket.org/zakhar/ffvideo/ Installation ------------ In CentOS you can install the above using the following commands:: sudo rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro sudo rpm -Uvh http://li.nux.ro/download/nux/dextop/el7/x86_64/nux-dextop-release-0-1.el7.nux.noarch.rpm sudo yum install -y ffmpeg-devel libjpeg-turbo-devel pip install Cython Pillow numpy pip install git+https://github.com/radek-senfeld/ffvideo.git#egg=ffvideo In Ubuntu you can install the above using the following commands:: sudo aptitude install python-dev cython libavcodec-dev libavformat-dev libswscale-dev pip install git+https://github.com/radek-senfeld/ffvideo.git#egg=ffvideo How to use ---------- Getting thumnails or videostream info ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :: from ffvideo import VideoStream def print_info(vs): print '-' * 20 print "codec: %s" % vs.codec_name print "duration: %.2f" % vs.duration print "bit rate: %d" % vs.bitrate print "frame size: %dx%d" % (vs.frame_width, vs.frame_height) print "frame_mode: %s" % vs.frame_mode vs = VideoStream('0.flv') print_info(vs) vs = VideoStream('0.flv', frame_size=(128, None), # scale to width 128px frame_mode='L') # convert to grayscale print_info(vs) frame = vs.get_frame_at_sec(2) print frame.size # PIL image, required installed PIL frame.image().save('frame2sec.jpeg') # numpy.ndarray, required installed numpy print frame.ndarray().shape Iterating over frame sequence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :: from ffvideo import VideoStream for frame in VideoStream('0.flv'): print frame.timestamp
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