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• Generating DASH manifest with ffmpeg works in Docker exec shell but not in os.exec golang

  22 février 2023, par Inquisitor

  I am trying to generate a DASH manifest with ffmpeg using this command

  


  /usr/bin/ffmpeg -f webm_dash_manifest -i ./480.webm -f webm_dash_manifest -i ./audio.webm -c copy -map 0:0 -map 1:0 -y -f webm_dash_manifest -adaptation_sets "id=0,streams=0 id=1,streams=1" ./manifest.mpd -loglevel repeat+level+verbose


  


  I run this in go, in a docker container as shown :

  


  func runFFmpeg(arguments []string) {
    arguments = append(arguments, "-loglevel", "repeat+level+verbose")
    cmd := exec.Command("ffmpeg", arguments...)

    fmt.Printf("cmd: %v\n", cmd)

    var out bytes.Buffer
    var stderr bytes.Buffer
    cmd.Stdout = &out
    cmd.Stderr = &stderr
    err := cmd.Run()

    if err != nil {
        log.Println(err)
        log.Println(stderr.String())
    }
}
runFFmpeg([]string{"-f", "webm_dash_manifest", "-i", "./480.webm", "-f", "webm_dash_manifest", "-i", "./audio.webm", "-c", "copy", "-map", "0:0", "-map", "1:0", "-y", "-f", "webm_dash_manifest", "-adaptation_sets", "\"id=0,streams=0 id=1,streams=1\"", "./manifest.mpd"})


  


  But I get this output :

  


   cmd: /usr/bin/ffmpeg -f webm_dash_manifest -i ./480.webm -f webm_dash_manifest -i ./audio.webm -c copy -map 0:0 -map 1:0 -y -copy_unknown -f webm_dash_manifest -adaptation_sets "id=0,streams=0 id=1,streams=1" ./manifest.mpd -loglevel repeat+level+verbose
 2023/02/22 04:45:17 exit status 1
 2023/02/22 04:45:17 [info] ffmpeg version 5.1.2 Copyright (c) 2000-2022 the FFmpeg developers
 [info]   built with gcc 12.2.1 (Alpine 12.2.1_git20220924-r3) 20220924
 [info]   configuration: --prefix=/usr --enable-avfilter --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-gnutls --enable-gpl --enable-libass --enable-libmp3lame --enable-libpulse --enable-libvorbis --enable-libvpx --enable-libxvid --enable-libx264 --enable-libx265 --enable-libtheora --enable-libv4l2 --enable-libdav1d --enable-lto --enable-postproc --enable-pic --enable-pthreads --enable-shared --enable-libxcb --enable-librist --enable-libsrt --enable-libssh --enable-libvidstab --disable-stripping --disable-static --disable-librtmp --disable-lzma --enable-libaom --enable-libopus --enable-libsoxr --enable-libwebp --enable-vaapi --enable-vdpau --enable-vulkan --enable-libdrm --enable-libzmq --optflags=-O2 --disable-debug --enable-libsvtav1
 [info]   libavutil      57. 28.100 / 57. 28.100
 [info]   libavcodec     59. 37.100 / 59. 37.100
 [info]   libavformat    59. 27.100 / 59. 27.100
 [info]   libavdevice    59.  7.100 / 59.  7.100
 [info]   libavfilter     8. 44.100 /  8. 44.100
 [info]   libswscale      6.  7.100 /  6.  7.100
 [info]   libswresample   4.  7.100 /  4.  7.100
 [info]   libpostproc    56.  6.100 / 56.  6.100
 [webm_dash_manifest @ 0x7fcec2836100] [warning] Could not find codec parameters for stream 0 (Video: vp9, 1 reference frame, none(tv, progressive, left), 640x480): unspecified pixel format
 Consider increasing the value for the 'analyzeduration' (0) and 'probesize' (5000000) options
 [info] Input #0, webm_dash_manifest, from './480.webm':
 [info]   Metadata:
 [info]     title           : Big Buck Bunny, Sunflower version
 [info]     GENRE           : Animation
 [info]     MAJOR_BRAND     : isom
 [info]     MINOR_VERSION   : 1
 [info]     COMPATIBLE_BRANDS: isomavc1
 [info]     COMPOSER        : Sacha Goedegebure
 [info]     ARTIST          : Blender Foundation 2008, Janus Bager Kristensen 2013
 [info]     COMMENT         : Creative Commons Attribution 3.0 - http://bbb3d.renderfarming.net
 [info]     ENCODER         : Lavf59.27.100
 [info]   Duration: 00:10:34.60, bitrate: 352 kb/s
 [info]   Stream #0:0: Video: vp9, 1 reference frame, none(tv, progressive, left), 640x480, SAR 853:640 DAR 853:480, 30 fps, 30 tbr, 1k tbn (default)
 [info]     Metadata:
 [info]       HANDLER_NAME    : GPAC ISO Video Handler
 [info]       VENDOR_ID       : [0][0][0][0]
 [info]       ENCODER         : Lavc59.37.100 libvpx-vp9
 [info]       DURATION        : 00:10:34.600000000
 [info]       webm_dash_manifest_duration: 634600
 [info]       webm_dash_manifest_initialization_range: 889
 [info]       webm_dash_manifest_file_name: 480.webm
 [info]       webm_dash_manifest_track_number: 1
 [info]       webm_dash_manifest_cues_start: 27924928
 [info]       webm_dash_manifest_cues_end: 27927508
 [info]       webm_dash_manifest_bandwidth: 738287
 [info]       webm_dash_manifest_cluster_keyframe: 1
 [info]       webm_dash_manifest_cue_timestamps: 67,5067,10067,15067,20067,25067,30067,35067,40067,45067,50067,55067,60067,65067,70067,75067,80067,85067,90067,95067,100067,105067,110067,115067,120067,125067,130067,135067,140067,145067,150067,155067,160067,165067,170067,175067,180067,185067,190067,195067
 [info] Input #1, webm_dash_manifest, from './audio.webm':
 [info]   Metadata:
 [info]     title           : Big Buck Bunny, Sunflower version
 [info]     GENRE           : Animation
 [info]     MAJOR_BRAND     : isom
 [info]     MINOR_VERSION   : 1
 [info]     COMPATIBLE_BRANDS: isomavc1
 [info]     COMPOSER        : Sacha Goedegebure
 [info]     ARTIST          : Blender Foundation 2008, Janus Bager Kristensen 2013
 [info]     COMMENT         : Creative Commons Attribution 3.0 - http://bbb3d.renderfarming.net
 [info]     ENCODER         : Lavf59.27.100
 [info]   Duration: 00:05:35.91, bitrate: 120 kb/s
 [info]   Stream #1:0: Audio: vorbis, 48000 Hz, 5.1, fltp (default)
 [info]     Metadata:
 [info]       HANDLER_NAME    : GPAC ISO Audio Handler
 [info]       VENDOR_ID       : [0][0][0][0]
 [info]       ENCODER         : Lavc59.37.100 libvorbis
 [info]       DURATION        : 00:05:35.907000000
 [info]       webm_dash_manifest_duration: 335907
 [info]       webm_dash_manifest_initialization_range: 7411
 [info]       webm_dash_manifest_file_name: audio.webm
 [info]       webm_dash_manifest_track_number: 1
 [info]       webm_dash_manifest_cues_start: 5047497
 [info]       webm_dash_manifest_cues_end: 5048846
 [info]       webm_dash_manifest_bandwidth: 126994
 [info]       webm_dash_manifest_cluster_keyframe: 1
 [info]       webm_dash_manifest_cue_timestamps: 0,4986,9980,14962,19959,24956,29946,34930,39916,44911,49908,54892,59874,64868,69858,74858,79855,84847,89834,94834,99826,104826,109826,114818,119812,124799,129780,134770,139756,144743,149727,154719,159714,164706,169698,174687,179668,184667,189658,194650,19
 HERE'S THE ERROR --> [error] Could not write header for output file #0 (incorrect codec parameters ?): Operation not permitted
 [error] Error initializing output stream 0:1 -- 
 [info] Stream mapping:
 [info]   Stream #0:0 -> #0:0 (copy)
 [info]   Stream #1:0 -> #0:1 (copy)
 [error] 
 [AVIOContext @ 0x7fcebe23a840] [verbose] Statistics: 0 bytes written, 0 seeks, 0 writeouts
 [AVIOContext @ 0x7fcebe23a980] [verbose] Statistics: 5940786 bytes read, 133 seeks
 [AVIOContext @ 0x7fcebe23acc0] [verbose] Statistics: 2260628 bytes read, 72 seeks


  


  It works perfectly however if I run it within docker exec (exec into the container and run the command in bash). Also, note in the last output that the command is well formed when I print it out from go. File permissions are also not the problem since the command to create the video variants works with os.exec i.e

  


  runFFmpeg([]string{"-i", originalFilePath, "-c:v", "libvpx-vp9", "-keyint_min", "150", "-g", "150", "-tile-columns", "4", "-frame-parallel", "1", "-f", "webm", "-dash", "1", "-an", "-vf", fmt.Sprintf("scale=%s:%s", width, height), "-b:v", bitRate, "-dash", "1", "-y", destinationFilePath})


  


• Android Video color effect issue using FFMPEG [on hold]

  8 juin 2016, par umesh mishra

  I m facing one problem. when we use library for effect that i have mentioned below video is created only 1/3 of actual video size. please tell me what is issue. and also doesn’t work on marshmallow.
  https://github.com/krazykira/VidEffects/wiki/Permanent-video-effects

• Fastest way to extract raw Y' plane data from Y'Cb'Cr encoded video ?

  20 février 2024, par memeko

  I have a use-case where I'm extracting I-Frames from videos and turning them into perceptual hashes for later analysis.

  


  ⠀

  


  I'm currently using ffmpeg to do this with a command akin to :

  


  ffmpeg -skip_frame nokey -i 'in%~1.mkv' -vsync vfr -frame_pts true -vf 'keyframes/_Y/out%~1/%%06d.bmp'

  


  and then reading in the data from the resulting images.

  


  ⠀

  


  This is a bit wasteful as, to my understanding, ffmpeg does implicit YUV -> RGB colour-space conversion and I'm also needlessly saving intermediate data to disk.

  


  Most modern video codecs utilise chroma subsampling and have frames encoded in a Y'C_bC_r colour-space, where Y' is the luma component, and Cb Cr are the blue-difference, red-difference chroma components.

  


  Which in something like YUV420p used in h.264/h.265 video codecs is encoded as such :

  


  

  


  Where each Y' value is 8 bits long and corresponds to a pixel.

  


  ⠀

  


  As I use gray-scale data for generating the perceptual hashes anyway, I was wondering if there is a way to simply grab just the raw Y' values from any given I-Frame into an array and skip all of the unnecessary conversions and extra steps ?

  


  (as the luma component is essentially equivalent to the grayscale data i need for generating hashes)

  


  I came across the -vf 'extractplanes=y' filter in ffmpeg that seems like it might do just that, but according to source :

  


  


  "...what is extracted by 'extractplanes' is not raw data of the (for example) Y plane. Each extracted is converted to grayscale. That is, the converted video data has YUV (or RGB) which is different from the input."

  


  


  which makes it seem like it's touching chroma components and doing some conversion anyway, in testing applying this filter didn't affect the processing time of the I-Frame extraction either.

  


  ⠀

  


  My script is currently written in Python, but I am in the process of migrating it to C++, so I would prefer any solutions pertaining to the latter.

  


  ffmpeg seems like the ideal candidate for this task, but I really am looking for whatever solution that would ingest the data fastest, preferably saving directly to RAM, as I'll be processing a large number of video files and discarding I-Frame luma pixel data once a hash has been generated.

  


  I would also like to associate each I-Frame with its corresponding frame number in the video.