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It looks like you started a sentence that was not finished :)
The imageio-ffmpeg library is a relatively thin wrapper around the ffmpeg executable. It calls ffmpeg in a subprocess and then sends data to the executable over stdin. This is not the fastest approach, e.g. a Python wrapper that compiles ffmpeg into a C extention would be faster, but this approach is easier to maintain.
So that might be the reason that the process is slower than you expected. Does that make sense for what you're experiencing?
by segmenting I mean specifically that when generating out HLS it is slow
and hence issues...
Would you recommend just FFMPEG directly? Is there a faster way?
On Wed, Mar 3, 2021 at 11:26 AM Almar Klein ***@***.***> wrote:
It looks like you started a sentence that was not finished :)
The imageio-ffmpeg library is a relatively thin wrapper around the ffmpeg
executable. It calls ffmpeg in a subprocess and then sends data to the
executable over stdin. This is not the fastest approach, e.g. a Python
wrapper that compiles ffmpeg into a C extention would be faster, but this
approach is easier to maintain.
So that might be the reason that the process is slower than you expected.
Does that make sense for what you're experiencing?
What do you mean by "it segments"?
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I am using imageio.get_writer('hls.m3u8', mode='I', format='FFMPEG', fps=30)
m3u8.append_data(frame)
I find that to upload appended data is very slow and if the file gets to a point that it segments then the playback is horrible
(I am using
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