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Sur d’autres sites (7165)

  • How to parse ffmpeg progress real time in ruby

    7 octobre 2015, par jryancanty

    So I was struggling with this problem a long time last night and finally figured it out so I wanted to post here in case someone ran across the same issue.

    The goal is to parse the output of FFmpeg so that it would run in a Sidekiq worker and save progress and duration to an ActiveRecord model so I could get a progress bar in the UI by polling the database.

    How do I parse ffmpeg duration and time real-time without waiting for the process to finish ?

  • AWS Lambda function execution for video

    11 avril, par Abinaya

    I am trying to run my application as Lambda, I am not getting successful eexecution everytime. Its like inconsistent results over testing.

    


    The application uses files from S3 bucket as input, once I have tried to execute Lambda with input being a simple 2 sec long mp4 video using FFMPEG in my application for processing. Lambda executed for 4 or 5 times (not everytime). I was able to see the FFMPEG commands and logs on AWS Log output screen.
he cloudwatch logs on the last execution of this :

    


    ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers

built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)

configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared

libavutil 56. 70.100 / 56. 70.100

libavcodec 58.134.100 / 58.134.100

libavformat 58. 76.100 / 58. 76.100

libavdevice 58. 13.100 / 58. 13.100

libavfilter 7.110.100 / 7.110.100

libswscale 5. 9.100 / 5. 9.100

libswresample 3. 9.100 / 3. 9.100

libpostproc 55. 9.100 / 55. 9.100

END RequestId: a7e397a7-ef1b-44c5-9877-e60a55665fc8

REPORT RequestId: a7e397a7-ef1b-44c5-9877-e60a55665fc8 Duration: 255111.29 ms Billed Duration: 255000 ms Memory Size: 1024 MB Max Memory Used: 177 MB 


    


    In short, I have created a console application that uses a model (let's say onnx model). This model is utilized in such a way that when my application is started, input is downloaded from s3, once any objects are detected in the input video I am trying to convert that into rendered output video with the use of FFMPEG

    


    Generated output was also uploaded to S3 bucket in .flv format. Sometimes the Output is 0KB .Since then I haven't encountered successful execution for my video case though nothing have been modified in my image that is using to execute the Lambda. What would be the reason for such inconsistent action throughout my testing ?

    


    I am expecting to have a successful output again, consistently. I have run the same application on ubuntu environment inside docker container, it generated output video and uploaded to S3, working as expected. The same docker image was pushed to ECR and I get no output. Is Lambda not compatible for FFMPEG usage ?
I have been struggling with this issue for days, Any help would be appreciated.

    


  • avcodec/v210dec : add support for frame and slice threading

    25 novembre 2019, par Limin Wang
    avcodec/v210dec : add support for frame and slice threading
    

    1, Test server configure :
    [root@localhost ]# cat /proc/cpuinfo |grep "model name"
    model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
    model name : Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz
    ...

    [root@localhost ]# free -h
    total used free shared buff/cache available
    Mem : 102G 1.1G 100G 16M 657M 100G
    Swap : 4.0G 0B 4.0G

    2, Test result :
    encode the v210 input data for testing :
    ./ffmpeg -y -i 4k_422.ts -c:v v210 -vframes 10 test.avi

    master :
    ./ffmpeg -y -threads 1 -stream_loop 1000 -i ./test.avi -benchmark -f null -
    frame=10010 fps= 60 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=13.7x
    video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
    bench : utime=101.869s stime=66.181s rtime=167.996s
    bench : maxrss=186552kB

    patch applied :
    ./ffmpeg -y -threads 2 -thread_type slice -stream_loop 1000 -i ./test.avi -benchmark -f null -
    frame=10010 fps= 72 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=16.5x
    video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
    bench : utime=103.562s stime=74.858s rtime=139.599s
    bench : maxrss=188616kB

    ./ffmpeg -y -threads 2 -thread_type frame -stream_loop 1000 -i ./test.avi -benchmark -f null -
    frame=10010 fps= 85 q=-0.0 Lsize=N/A time=00:38:26.30 bitrate=N/A speed=19.6x
    video:5240kB audio:432432kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead : unknown
    bench : utime=114.310s stime=92.685s rtime=117.693s
    bench : maxrss=231896kB

    Signed-off-by : Limin Wang <lance.lmwang@gmail.com>
    Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>

    • [DH] libavcodec/v210dec.c
    • [DH] libavcodec/v210dec.h