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• ffmpeg stuck in generating thumbnail of video [closed]

  10 décembre 2019, par user6121419

  I’m trying to create a thumbnail of a .mov video with ffmpeg, but it gets stuck.
  I tried the same command on 2 different machines and with different types of arguments, but nothing changed the result. The video itself can be viewed without a problem, so it shouldn’t be corrupted.
  The video was taken on an iphone at 4k 60fps.

  What I’ve tried :

  ffmpeg -i IMG_1001.MOV -ss 00:00:02 -vframes 1 thumbnail.jpg

  It gets stuck at the third last line frame= 0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A speed=   0x and from then on, I stopped the process with ctrl+c

  Output :

  ffmpeg version 3.4.6-0ubuntu0.18.04.1 Copyright (c) 2000-2019 the FFmpeg developers
 built with gcc 7 (Ubuntu 7.3.0-16ubuntu3)
 configuration: --prefix=/usr --extra-version=0ubuntu0.18.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared
 libavutil      55. 78.100 / 55. 78.100
 libavcodec     57.107.100 / 57.107.100
 libavformat    57. 83.100 / 57. 83.100
 libavdevice    57. 10.100 / 57. 10.100
 libavfilter     6.107.100 /  6.107.100
 libavresample   3.  7.  0 /  3.  7.  0
 libswscale      4.  8.100 /  4.  8.100
 libswresample   2.  9.100 /  2.  9.100
 libpostproc    54.  7.100 / 54.  7.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'IMG_1001.MOV':
 Metadata:
   major_brand     : qt
   minor_version   : 0
   compatible_brands: qt
   creation_time   : 2019-11-xx
   com.apple.quicktime.make: Apple
   com.apple.quicktime.model: iPhone 8
   com.apple.quicktime.software: 13.2.2
   com.apple.quicktime.creationdate: 2019-11-xx
 Duration: 00:00:05.18, start: 0.000000, bitrate: 54961 kb/s
   Stream #0:0(und): Video: hevc (Main) (hvc1 / 0x31637668), yuv420p(tv, bt709), 3840x2160, 54851 kb/s, 60 fps, 60 tbr, 600 tbn, 600 tbc (default)
   Metadata:
     creation_time   : 2019-11-xx
     handler_name    : Core Media Data Handler
     encoder         : HEVC
   Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 94 kb/s (default)
   Metadata:
     creation_time   : 2019-11-xx
     handler_name    : Core Media Data Handler
   Stream #0:2(und): Data: none (mebx / 0x7862656D), 0 kb/s (default)
   Metadata:
     creation_time   : 2019-11-xx
     handler_name    : Core Media Data Handler
   Stream #0:3(und): Data: none (mebx / 0x7862656D), 0 kb/s (default)
   Metadata:
     creation_time   : 2019-11-xx
     handler_name    : Core Media Data Handler
Stream mapping:
 Stream #0:0 -> #0:0 (hevc (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[swscaler @ 0x55d83a288940] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to 'thumbnail.jpg':
 Metadata:
   major_brand     : qt
   minor_version   : 0
   compatible_brands: qt
   com.apple.quicktime.creationdate: 2019-11-xx
   com.apple.quicktime.make: Apple
   com.apple.quicktime.model: iPhone 8
   com.apple.quicktime.software: 13.2.2
   encoder         : Lavf57.83.100
   Stream #0:0(und): Video: mjpeg, yuvj420p(pc), 3840x2160, q=2-31, 200 kb/s, 60 fps, 60 tbn, 60 tbc (default)
   Metadata:
     creation_time   : 2019-11-xx
     handler_name    : Core Media Data Handler
     encoder         : Lavc57.107.100 mjpeg
   Side data:
     cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: -1
frame=    0 fps=0.0 q=0.0 Lsize=N/A time=00:00:00.00 bitrate=N/A speed=   0x
video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
Output file is empty, nothing was encoded (check -ss / -t / -frames parameters if used)

  Any idea on what it could be ? Am I missing something or could it be that the encoding can’t be read properly by ffmpeg ? Besides that I haven’t found any alternative to generate thumbnails from videos on linux

• vf_dnn_processing : add support for more formats gray8 and grayf32

  27 décembre 2019, par Guo, Yejun

  vf_dnn_processing : add support for more formats gray8 and grayf32
  The following is a python script to halve the value of the gray
  
  image. It demos how to setup and execute dnn model with python+tensorflow.
  
  It also generates .pb file which will be used by ffmpeg.
  import tensorflow as tf
  
  import numpy as np
  
  from skimage import color
  
  from skimage import io
  
  in_img = io.imread('input.jpg')
  
  in_img = color.rgb2gray(in_img)
  
  io.imsave('ori_gray.jpg', np.squeeze(in_img))
  
  in_data = np.expand_dims(in_img, axis=0)
  
  in_data = np.expand_dims(in_data, axis=3)
  
  filter_data = np.array([0.5]).reshape(1,1,1,1).astype(np.float32)
  
  filter = tf.Variable(filter_data)
  
  x = tf.placeholder(tf.float32, shape=[1, None, None, 1], name='dnn_in')
  
  y = tf.nn.conv2d(x, filter, strides=[1, 1, 1, 1], padding='VALID', 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, '.', 'halve_gray_float.pb', as_text=False)
  
  print("halve_gray_float.pb generated, please use \
  
  path_to_ffmpeg/tools/python/convert.py to generate halve_gray_float.model\n")
  
  output = sess.run(y, feed_dict=x : in_data)
  
  output = output * 255.0
  
  output = output.astype(np.uint8)
  
  io.imsave("out.jpg", np.squeeze(output))
  To do the same thing with ffmpeg :
  
   generate halve_gray_float.pb with the above script
  
   generate halve_gray_float.model with tools/python/convert.py
  
   try with following commands
  
    ./ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.model:input=dnn_in:output=dnn_out:dnn_backend=native out.native.png
  
    ./ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow out.tf.png
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] doc/filters.texi
  • [DH] libavfilter/vf_dnn_processing.c

• vf_dnn_processing : remove parameter 'fmt'

  27 décembre 2019, par Guo, Yejun

  vf_dnn_processing : remove parameter 'fmt'
  do not request AVFrame's format in vf_ddn_processing with 'fmt',
  
  but to add another filter for the format.
  command examples :
  
  ./ffmpeg -i input.jpg -vf format=bgr24,dnn_processing=model=halve_first_channel.model:input=dnn_in:output=dnn_out:dnn_backend=native -y out.native.png
  
  ./ffmpeg -i input.jpg -vf format=rgb24,dnn_processing=model=halve_first_channel.model:input=dnn_in:output=dnn_out:dnn_backend=native -y out.native.png
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] doc/filters.texi
  • [DH] libavfilter/vf_dnn_processing.c