On Mon, Mar 11, 2019 at 1:00 AM Carl Zwanzig wrote:
(What have you already tried?)
As of now, I'm passing every decoded frame to OpenCV to perform some image
analysis (like dissimilarity between present and the past frame), but this
method doesn't work accurately and also time-consuming.
I'hv libmysofa0 latest version - 0.6, also I've installed libmysofa-dev and
libmysofa-utils. I'm using Ubuntu 18.04 OS.
On Thu, Mar 7, 2019 at 6:51 PM Paul B Mahol wrote:
> On 3/7/19, Venkateswaran.S wrote:
> > Hi Team,
> >
> > I'm building FFmpeg from below git
er.o' failed
make: *** [libavfilter/af_sofalizer.o] Error 1
Regards,
Venkateswaran.S
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ffmpeg-user-requ..
58. 20.100 / 58. 20.100
libavdevice58. 5.100 / 58. 5.100
libavfilter 7. 40.101 / 7. 40.101
libavresample 4. 0. 0 / 4. 0. 0
libswscale 5. 3.100 / 5. 3.100
libswresample 3. 3.100 / 3. 3.100
libpostproc55. 3.100 / 55. 3.100
Regards,
Venkateswaran.S
Hi all,
I wants to detect glitches in my video. Is there any filter to achieve it.?
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You can use Freeze detect filter.
Link : https://ffmpeg.org/ffmpeg-filters.html#freezedetect
Usage:
ffmpeg -i freeze.mp4 -vf "freezedetect=n=-60dB:d=2" -map 0:v:0 -f null -
-Venkat
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delete_segments -hls_segment_filename
'chunk%03d.ts' playlist.m3u8
but it's not deleting old chunks and also " -hls_playlist_type " option is
only available for "vod" and "event". how do I flag my stream is live .?
Regards,
Venkateswaran.S
https://ffmpeg.org/doxygen/trunk/transcoding_8c-example.html
Regards,
Venkateswaran.S
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Could you please double-check whether the file is present in that path
"C:\Users\alfes\Videos\mm.mp4". Also, share your console output.
(Avoid top-posting; see https://trac.ffmpeg.org/wiki/MailingListEtiquette).
Regards,
Venkateswaran.S
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What's your operating system.?
You have to install aom library and compile ffmpeg with --enable-libaom flah
https://trac.ffmpeg.org/wiki/CompilationGuide/Ubuntu#libaom
Regards,
Venkateswaran.S
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https
>
> I thinks it's not possible with ffmpeg command line tool. There is a
> *delogo* filter which removes the logo from the clip but doesn't tell you
> the timings where this logo appears.
You can easily detect the logo in image using opencv lib
>
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