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• Video error while processing

  19 décembre 2012, par joelmaranhao

  Trying out paperclip-ffmpeg gem with Rails 3.1

  In my model

  class Video < ActiveRecord::Base
  
    belongs_to :creative_service
  
  
  
    has_attached_file :asset, :styles => { 
  
      :medium => { :geometry => "640x480", :format => 'flv' },
  
      :thumb => { :geometry => "100x100#", :format => 'jpg', :time => 10 }
  
    }, :processors => [:ffmpeg]
  
  end

  The error message when uploading a MPG file :

  Video error while processing video for MOV0652220121219-19138-1ybt1gp: Command 'ffmpeg -i :source -y -s 640x480 :dest' returned 1. Expected 0

  I am a total newbie with video processing. Any hint is welcome.

  j.

• Changing portrait videos to landscape aspect with latest ffmpeg release is breaking

  19 décembre 2016, par zeal

  I am having an issue scaling videos recorded in portrait with the latest version of ffmpeg (2.1). This worked fine in a previous version, but I need the lastest version to fix a different issue.

  I am trying to take any video passed and make it 852 wide by 480 high. It works fine when converting videos that are wider then tall, but when the video is taller then wide it corrupts the video. It actually adds a letter box to the top and bottom, rather then left and right. Also, the meta data shows it as the correct height & width, but its wrong when played in windows.

  Here are the parameters I am using.

  ffmpeg -i INPUT -s 852x480 -r 30 -aspect 1.775 -b:v 2000000 -vcodec mpeg4 -vf "scale=iw*min(852/iw\,480 /ih):ih*min(852/iw\,480 /ih),pad=852:480 :(852-iw)/2:(480 -ih)/2" -ac 2 -b:a 128k -ar 44100 -y OUTPUT

  Console output from ffmpeg -i INPUT -r 30 -b:v 2000000 -vcodec mpeg4 -vf "scale=852:480" -ac 2 -b:a 128k -ar 44100 -y OUTPUT :

  C:\Lib>ffmpeg -i "d\ca96cd13-2995-4794-b753-22be3b918659.mov" -r 30 -b:v 2000000 -vcodec mpeg4 -vf "
  
  scale=852:480" -ac 2 -b:a 128k -ar 44100 -y "d\portx.mp4"
  
  ffmpeg version N-58015-g8cdf4e0 Copyright (c) 2000-2013 the FFmpeg developers
  
    built on Nov 10 2013 18:04:45 with gcc 4.8.2 (GCC)
  
    configuration: --disable-static --enable-shared --enable-gpl --enable-version3 --disable-w32thread
  
  s --enable-avisynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enable-icon
  
  v --enable-libass --enable-libbluray --enable-libcaca --enable-libfreetype --enable-libgsm --enable-
  
  libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrw
  
  b --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libschroedinger --enable-libsoxr -
  
  -enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-aacenc --
  
  enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libx264 --enab
  
  le-libxavs --enable-libxvid --enable-zlib
  
    libavutil      52. 52.100 / 52. 52.100
  
    libavcodec     55. 41.100 / 55. 41.100
  
    libavformat    55. 21.100 / 55. 21.100
  
    libavdevice    55.  5.100 / 55.  5.100
  
    libavfilter     3. 90.102 /  3. 90.102
  
    libswscale      2.  5.101 /  2.  5.101
  
    libswresample   0. 17.104 /  0. 17.104
  
    libpostproc    52.  3.100 / 52.  3.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'd\ca96cd13-2995-4794-b753-22be3b918659.mov':
  
    Metadata:
  
      major_brand     : qt
  
      minor_version   : 0
  
      compatible_brands: qt
  
      creation_time   : 2013-11-12 15:02:21
  
      model           : iPhone 5
  
      model-eng       : iPhone 5
  
      encoder         : 7.0.2
  
      encoder-eng     : 7.0.2
  
      date            : 2013-11-12T10:02:21-0500
  
      date-eng        : 2013-11-12T10:02:21-0500
  
      make            : Apple
  
      make-eng        : Apple
  
    Duration: 00:00:15.48, start: 0.000000, bitrate: 780 kb/s
  
      Stream #0:0(und): Video: h264 (Baseline) (avc1 / 0x31637661), yuv420p(tv, smpte170m), 480x360, 7
  
  05 kb/s, 29.98 fps, 30 tbr, 600 tbn, 1200 tbc (default)
  
      Metadata:
  
        rotate          : 90
  
        creation_time   : 2013-11-12 15:02:21
  
        handler_name    : Core Media Data Handler
  
      Stream #0:1(und): Audio: aac (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 62 kb/s (default)
  
      Metadata:
  
        creation_time   : 2013-11-12 15:02:21
  
        handler_name    : Core Media Data Handler
  
  Output #0, mp4, to 'd\portx.mp4':
  
    Metadata:
  
      major_brand     : qt
  
      minor_version   : 0
  
      compatible_brands: qt
  
      make-eng        : Apple
  
      model           : iPhone 5
  
      model-eng       : iPhone 5
  
      make            : Apple
  
      encoder-eng     : 7.0.2
  
      date            : 2013-11-12T10:02:21-0500
  
      date-eng        : 2013-11-12T10:02:21-0500
  
      encoder         : Lavf55.21.100
  
      Stream #0:0(und): Video: mpeg4 ( [0][0][0] / 0x0020), yuv420p, 852x480, q=2-31, 2000 kb/s, 15360
  
   tbn, 30 tbc (default)
  
      Metadata:
  
        rotate          : 90
  
        creation_time   : 2013-11-12 15:02:21
  
        handler_name    : Core Media Data Handler
  
      Stream #0:1(und): Audio: aac (libvo_aacenc) ([64][0][0][0] / 0x0040), 44100 Hz, stereo, s16, 128
  
   kb/s (default)
  
      Metadata:
  
        creation_time   : 2013-11-12 15:02:21
  
        handler_name    : Core Media Data Handler
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 -> mpeg4)
  
    Stream #0:1 -> #0:1 (aac -> libvo_aacenc)
  
  Press [q] to stop, [?] for help
  
  frame=  465 fps=417 q=3.8 Lsize=    4118kB time=00:00:15.52 bitrate=2173.3kbits/s
  
  video:3860kB audio:243kB subtitle:0 global headers:0kB muxing overhead 0.348231%

• dnn/native : add native support for 'mul'

  11 avril 2020, par Guo, Yejun

  dnn/native : add native support for 'mul'
  it can be tested with model file generated from above python script :
  import tensorflow as tf
  
  import numpy as np
  
  import imageio
  in_img = imageio.imread('input.jpg')
  
  in_img = in_img.astype(np.float32)/255.0
  
  in_data = in_img[np.newaxis, :]
  x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
  
  z1 = 0.5 + 0.3 * x
  
  z2 = z1 * 4
  
  z3 = z2 - x - 2.0
  
  y = tf.identity(z3, name='dnn_out')
  sess=tf.Session()
  
  sess.run(tf.global_variables_initializer())
  graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
  
  tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)
  print("image_process.pb generated, please use \
  
  path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")
  output = sess.run(y, feed_dict=x : in_data)
  
  imageio.imsave("out.jpg", np.squeeze(output))
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  

  • [DH] libavfilter/dnn/dnn_backend_native_layer_mathbinary.c
  • [DH] libavfilter/dnn/dnn_backend_native_layer_mathbinary.h
  • [DH] tools/python/convert_from_tensorflow.py
  • [DH] tools/python/convert_header.py