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• No such file or directory - the ffprobe binary could not be found error

  9 mars 2023, par webster

  I am using carrierwave-video gem uploading videos through carrierwave and it's not working.

  



  video_uploader.rb

  



  class VideoUploader < CarrierWave::Uploader::Base
  include CarrierWave::Video
  storage :file
  def store_dir
    "uploads/#{model.class.to_s.underscore}/#{mounted_as}/#{model.id}"
  end
end


  



  video.rb

  



  class Video < ActiveRecord::Base
  mount_uploader :file, VideoUploader

  def set_success(format, opts)
    self.success = true
  end
end


  



  The error I am getting is :

  



  No such file or directory - the ffprobe binary could not be found in /home/administrator/.rvm/gems/ruby-2.3.0/bin:/home/administrator/.rvm/gems/ruby-2.3.0@global/bin:/usr/share/rvm/rubies/ruby-2.3.0/bin:/usr/share/rvm/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games


  


• Trying to use ffmpeg to create slideshow from ISO-8601 named pictures. Getting output with no playable streams

  19 juin 2019, par Robert Ellegate

  I’m trying to create a slideshow of images that are irregular in dimension/orientation but all named with the same ISO-8601 date format.

  I’ve normalized the filenames so they are all YYYYMMDD.jpg. I have tried using the globular pattern type for ffmpeg and various methods for inputting the files, including piping the concatenation of the files into ffmpeg.

  Here are the images I’m trying to use :

  $ ls *.jpg | xargs -n1 file
  
  20190411.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 10128x3984, components 3
  
  20190417.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10176x3952, components 3
  
  20190424.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 12128x3840, components 3
  
  20190429.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=upper-left, width=0], baseline, precision 8, 11104x3888, components 3
  
  20190430.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10992x3920, components 3
  
  20190501.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10528x3936, components 3
  
  20190502.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10992x3792, components 3
  
  20190508.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 11008x3808, components 3
  
  20190515.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10416x3760, components 3
  
  20190516.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10928x3760, components 3
  
  20190517.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=lower-right, width=0], baseline, precision 8, 10720x3840, components 3
  
  20190522.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6552x1688, components 3
  
  20190523.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6572x1700, components 3
  
  20190524.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6468x1659, components 3
  
  20190528.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 5424x1644, components 3
  
  20190529.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=7, model=Pixel 2 XL, height=0, manufacturer=Google, orientation=[*0*], datetime=2019:05:29 16:38:01, width=0]
  
  20190531.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6584x1693, components 3
  
  20190603.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6536x1690, components 3
  
  20190604.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 5748x1618, components 3
  
  20190606.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6196x1690, components 3
  
  20190607.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6112x1674, components 3
  
  20190610.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6440x1670, components 3
  
  20190611.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6312x1694, components 3
  
  20190612.jpg: JPEG image data, Exif standard: [TIFF image data, big-endian, direntries=4, height=0, orientation=[*0*], width=0], baseline, precision 8, 6176x1689, components 3

  And these are the various ffmpeg commands I’ve tried using :

  cat *.jpg | ffmpeg -framerate 1/5 -c:v libx264 -r 30 -pix_fmt yuv420p out.mp4

  cat *.jpg | ffmpeg -f image2pipe -i - output.mkv

  ffmpeg -framerate 1/5 -pattern_type glob -i '*.jpg' out.mp4

  ffmpeg -framerate 1/5 -pattern_type glob -i '*.jpg' -c:v libx264 -vf fps=25 -pix_fmt yuv420p out.mp4

  I’m trying to create a video that shows each image for 5 seconds in order, but I’m getting a mp4 video file with no playable streams.

• libavfilter/dnn : determine dnn output during execute_model instead of set_input_output

  25 avril 2019, par Guo, Yejun

  libavfilter/dnn : determine dnn output during execute_model instead of set_input_output
  Currently, within interface set_input_output, the dims/memory of the tensorflow
  
  dnn model output is determined by executing the model with zero input,
  
  actually, the output dims might vary with different input data for networks
  
  such as object detection models faster-rcnn, ssd and yolo.
  This patch moves the logic from set_input_output to execute_model which
  
  is suitable for all the cases. Since interface changed, and so dnn_backend_native
  
  also changes.
  In vf_sr.c, it knows it's srcnn or espcn by executing the model with zero input,
  
  so execute_model has to be called in function config_props
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] libavfilter/dnn_backend_native.c
  • [DH] libavfilter/dnn_backend_native.h
  • [DH] libavfilter/dnn_backend_tf.c
  • [DH] libavfilter/dnn_backend_tf.h
  • [DH] libavfilter/dnn_interface.h
  • [DH] libavfilter/vf_sr.c