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• Ffmpeg - Remove rotate metadata

  16 mai 2014, par Ron I

  When I extract the images from a video, the resulting images are getting rotated. The orientation of the video is correct, and the images are upside down. The metadata for the original video is 180, and also for the output file, so it looks like it is copying that data and additionally rotating 180 degrees. However, since the original video is already rotated, it is flipping the video upside down.

  I would like to remove the metadata for the output file containing the ’rotate’ command. I tried adding -vf rotate=0, but it didn’t work.

  Here is the command I am running :

  ffmpeg -i left.MOV -r 1 -f image2 left-03%d.png

  I assume this is what is throwing it off (it looks like it is copying the rotate metadata from the input file and applying it to the output file) :

  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'left.MOV':
  
  rotate          : 180
  
  
  
  Output #0, image2, to 'left-03%d.png':
  
  
  
  Metadata:
  
        rotate          : 180

  Here’s the full output :

      ffmpeg version 2.2.1 Copyright (c) 2000-2014 the FFmpeg developers
  
    built on Apr 11 2014 22:50:35 with Apple LLVM version 5.1 (clang-503.0.38) (based on LLVM 3.4svn)
  
    configuration: --prefix=/usr/local/Cellar/ffmpeg/2.2.1 --enable-shared --enable-pthreads --enable-gpl --enable-version3 --enable-nonfree --enable-hardcoded-tables --enable-avresample --enable-vda --cc=clang --host-cflags= --host-ldflags= --enable-libx264 --enable-libfaac --enable-libmp3lame --enable-libxvid
  
    libavutil      52. 66.100 / 52. 66.100
  
    libavcodec     55. 52.102 / 55. 52.102
  
    libavformat    55. 33.100 / 55. 33.100
  
    libavdevice    55. 10.100 / 55. 10.100
  
    libavfilter     4.  2.100 /  4.  2.100
  
    libavresample   1.  2.  0 /  1.  2.  0
  
    libswscale      2.  5.102 /  2.  5.102
  
    libswresample   0. 18.100 /  0. 18.100
  
    libpostproc    52.  3.100 / 52.  3.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'left.MOV':
  
    Metadata:
  
      major_brand     : qt  
  
      minor_version   : 0
  
      compatible_brands: qt  
  
      creation_time   : 2014-05-14 16:24:27
  
      make            : Apple
  
      make-eng        : Apple
  
      encoder         : 7.1.1
  
      encoder-eng     : 7.1.1
  
      date            : 2014-05-14T09:23:48-0700
  
      date-eng        : 2014-05-14T09:23:48-0700
  
      model           : iPhone 5
  
      model-eng       : iPhone 5
  
    Duration: 00:00:10.98, start: 0.000000, bitrate: 795 kb/s
  
      Stream #0:0(und): Audio: aac (mp4a / 0x6134706D), 44100 Hz, mono, fltp, 62 kb/s (default)
  
      Metadata:
  
        creation_time   : 2014-05-14 16:24:27
  
        handler_name    : Core Media Data Handler
  
      Stream #0:1(und): Video: h264 (Baseline) (avc1 / 0x31637661), yuv420p(tv, bt709), 568x320, 728 kb/s, 29.97 fps, 29.97 tbr, 600 tbn, 1200 tbc (default)
  
      Metadata:
  
        rotate          : 180
  
        creation_time   : 2014-05-14 16:24:27
  
        handler_name    : Core Media Data Handler
  
  Output #0, image2, to 'left-03%d.png':
  
    Metadata:
  
      major_brand     : qt  
  
      minor_version   : 0
  
      compatible_brands: qt  
  
      model-eng       : iPhone 5
  
      make            : Apple
  
      make-eng        : Apple
  
      model           : iPhone 5
  
      encoder-eng     : 7.1.1
  
      date            : 2014-05-14T09:23:48-0700
  
      date-eng        : 2014-05-14T09:23:48-0700
  
      encoder         : Lavf55.33.100
  
      Stream #0:0(und): Video: png, rgb24, 568x320, q=2-31, 200 kb/s, 90k tbn, 1 tbc (default)
  
      Metadata:
  
        rotate          : 180
  
        creation_time   : 2014-05-14 16:24:27
  
        handler_name    : Core Media Data Handler
  
  Stream mapping:
  
    Stream #0:1 -> #0:0 (h264 -> png)
  
  Press [q] to stop, [?] for help
  
  frame=   14 fps=0.0 q=0.0 Lsize=N/A time=00:00:14.00 bitrate=N/A dup=0 drop=315    
  
  video:1521kB audio:0kB subtitle:0 data:0 global headers:0kB muxing overhead -100.001411%

• dnn : add openvino as one of dnn backend

  25 mai 2020, par Guo, Yejun

  dnn : add openvino as one of dnn backend
  OpenVINO is a Deep Learning Deployment Toolkit at
  
  https://github.com/openvinotoolkit/openvino, it supports CPU, GPU
  
  and heterogeneous plugins to accelerate deep learning inferencing.
  Please refer to https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md
  
  to build openvino (c library is built at the same time). Please add
  
  option -DENABLE_MKL_DNN=ON for cmake to enable CPU path. The header
  
  files and libraries are installed to /usr/local/deployment_tools/inference_engine/
  
  with default options on my system.
  To build FFmpeg with openvion, take my system as an example, run with :
  
  $ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH :/usr/local/deployment_tools/inference_engine/lib/intel64/ :/usr/local/deployment_tools/inference_engine/external/tbb/lib/
  
  $ ../ffmpeg/configure —enable-libopenvino —extra-cflags=-I/usr/local/deployment_tools/inference_engine/include/ —extra-ldflags=-L/usr/local/deployment_tools/inference_engine/lib/intel64
  
  $ make
  Here are the features provided by OpenVINO inference engine :
  
   support more DNN model formats
  
  It supports TensorFlow, Caffe, ONNX, MXNet and Kaldi by converting them
  
  into OpenVINO format with a python script. And torth model
  
  can be first converted into ONNX and then to OpenVINO format.
  see the script at https://github.com/openvinotoolkit/openvino/tree/master/model-optimizer/mo.py
  
  which also does some optimization at model level.
   optimize at inference stage
  
  It optimizes for X86 CPUs with SSE, AVX etc.
  It also optimizes based on OpenCL for Intel GPUs.
  
  (only Intel GPU supported becuase Intel OpenCL extension is used for optimization)
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  
  Signed-off-by : Pedro Arthur <bygrandao@gmail.com>
  

  • [DH] configure
  • [DH] libavfilter/dnn/Makefile
  • [DH] libavfilter/dnn/dnn_backend_openvino.c
  • [DH] libavfilter/dnn/dnn_backend_openvino.h
  • [DH] libavfilter/dnn/dnn_interface.c
  • [DH] libavfilter/dnn_interface.h

• Compiling FFMPEG on CentOS DigitalOcean

  29 juillet 2015, par coder_uk

  I set up a DigitalOcean instance running CentOS 6.5 and successfully followed the guide to compile FFMPEG (https://trac.ffmpeg.org/wiki/CompilationGuide/Centos). Hurrah !

  But of course I realised that by default, DigitalOcean creates a root user and so ffmpeg now lives in /root/bin/ffmpeg. Which isn’t ideal because when I want to exec the ffmpeg bin from nginx, I would have to run nginx as root for it to have permission.

  Questions ...

  1) Long-shot, but presumably if I change the owner of the ffmpeg binary to nginx, it still won’t work, because nginx won’t be able to access the /root folder it is in. Correct ?

  2) I could run nginx as root (’user root’). But this seems like a very bad idea. Correct ?

  3) Which leaves me with the option of creating a new user, and then compiling ffmpeg into its home folder. But : which user ? EC2 creates ’ec2-user’, so should I make my own equivalent for DO ? But then won’t I have to run nginx as that user, else I’ll run into the same problem ?

  Or should I compile ffmpeg into the ’nginx’ home folder, if indeed it has one ? Is that how it is supposed to be done ?

  Since compiling ffmpeg takes ages, I don’t want to keep doing it, and the static files all seem very out of date. Thanks