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• avfilter/dnn : Refactor DNN parameter configuration system

  7 mai 2024, par Zhao Zhili

  avfilter/dnn : Refactor DNN parameter configuration system
  This patch trying to resolve mulitiple issues related to parameter
  
  configuration :
  Firstly, each DNN filters duplicate DNN_COMMON_OPTIONS, which should
  
  be the common options of backend.
  Secondly, backend options are hidden behind the scene. It's a
  
  AV_OPT_TYPE_STRING backend_configs for user, and parsed by each
  
  backend. We don't know each backend support what kind of options
  
  from the help message.
  Third, DNN backends duplicate DNN_BACKEND_COMMON_OPTIONS.
  Last but not the least, pass backend options via AV_OPT_TYPE_STRING
  
  makes it hard to pass AV_OPT_TYPE_BINARY to backend, if not impossible.
  This patch puts backend common options and each backend options inside
  
  DnnContext to reduce code duplication, make options user friendly, and
  
  easy to extend for future usecase.
  For example,
  ./ffmpeg -h filter=dnn_processing
  dnn_processing AVOptions :
  
     dnn_backend       <int>        ..FV....... DNN backend (from INT_MIN to INT_MAX) (default tensorflow)
  
       tensorflow      1            ..FV....... tensorflow backend flag
  
       openvino        2            ..FV....... openvino backend flag
  
       torch           3            ..FV....... torch backend flag
  dnn_base AVOptions :
  
     model             <string>     ..F........ path to model file
  
     input             <string>     ..F........ input name of the model
  
     output            <string>     ..F........ output name of the model
  
     backend_configs   <string>     ..F.......P backend configs (deprecated)
  
     options           <string>     ..F.......P backend configs (deprecated)
  
     nireq             <int>        ..F........ number of request (from 0 to INT_MAX) (default 0)
  
     async             <boolean>    ..F........ use DNN async inference (default true)
  
     device            <string>     ..F........ device to run model
  dnn_tensorflow AVOptions :
  
     sess_config       <string>     ..F........ config for SessionOptions
  dnn_openvino AVOptions :
  
     batch_size        <int>        ..F........ batch size per request (from 1 to 1000) (default 1)
  
     input_resizable   <boolean>    ..F........ can input be resizable or not (default false)
  
     layout            <int>        ..F........ input layout of model (from 0 to 2) (default none)
  
       none            0            ..F........ none
  
       nchw            1            ..F........ nchw
  
       nhwc            2            ..F........ nhwc
  
     scale             <float>      ..F........ Add scale preprocess operation. Divide each element of input by specified value. (from INT_MIN to INT_MAX) (default 0)
  
     mean              <float>      ..F........ Add mean preprocess operation. Subtract specified value from each element of input. (from INT_MIN to INT_MAX) (default 0)
  dnn_th AVOptions :
  
     optimize          <int>        ..F........ turn on graph executor optimization (from 0 to 1) (default 0)
  Signed-off-by : Zhao Zhili <zhilizhao@tencent.com>
  
  Reviewed-by : Wenbin Chen <wenbin.chen@intel.com>
  
  Reviewed-by : Guo Yejun <yejun.guo@intel.com>
  

  • [DH] libavfilter/dnn/dnn_backend_common.h
  • [DH] libavfilter/dnn/dnn_backend_openvino.c
  • [DH] libavfilter/dnn/dnn_backend_tf.c
  • [DH] libavfilter/dnn/dnn_backend_torch.cpp
  • [DH] libavfilter/dnn/dnn_interface.c
  • [DH] libavfilter/dnn_filter_common.c
  • [DH] libavfilter/dnn_filter_common.h
  • [DH] libavfilter/dnn_interface.h
  • [DH] libavfilter/vf_derain.c
  • [DH] libavfilter/vf_dnn_classify.c
  • [DH] libavfilter/vf_dnn_detect.c
  • [DH] libavfilter/vf_dnn_processing.c
  • [DH] libavfilter/vf_sr.c

• Is ffmpeg a good upscaler from SD to HD ? [closed]

  15 août 2014, par user3928079

  Is ffmpeg a good upscaler to convert SD videos to HD ?

  I use the AVANTI GUI. I installed it and put the ffmpeg and ffplay exe into the folder ffmpeg in the program folder. What I know is that you can only preserve the detail when you upscale from SD to HD. You don’t really gain any additional information. TV companies like Samsung, Sony, LG, Panasonic, Sharp, and others refuse to think so and push the boundaries of upscaling so that additional information can be added when the image is upscaled from SD to HD and HD to 4K and so on and so forth. I’ve run a test through the AVANTI ffmpeg GUI.

  Codec : XVID to H.264
  Bitrate : 1640 kbps to 6000 kbps
  Resolution : 640x480 to 1440x1080
  Format : AVI to M4V
  Audio Codec : AC3 to AAC
  Audio Bitrate : 192 kbps
  Audio Frequency : 48000 Hz
  Upscale method : Spline

  Will this upscale method work in any way with converting SD video to HD video. There’s a lot of SD content out that haven’t made the transition to, or probably never will be, HD.

• How to change ffmpeg -threads settings [migrated]

  5 août 2014, par Jacob

  Working on a tube site. I’m running videos through ffmpeg on a linux dedicated server to convert to mp4.

  The server specs :

  Architecture:          x86_64
  
  CPU op-mode(s):        32-bit, 64-bit
  
  Byte Order:            Little Endian
  
  CPU(s):                8
  
  On-line CPU(s) list:   0-7
  
  Thread(s) per core:    2
  
  Core(s) per socket:    4
  
  Socket(s):             1
  
  NUMA node(s):          1
  
  Vendor ID:             GenuineIntel
  
  CPU family:            6
  
  Model:                 60
  
  Stepping:              3
  
  CPU MHz:               3491.749
  
  BogoMIPS:              6983.49
  
  Virtualization:        VT-x
  
  L1d cache:             32K
  
  L1i cache:             32K
  
  L2 cache:              256K
  
  L3 cache:              8192K
  
  NUMA node0 CPU(s):     0-7

  Issue during testing is that even only doing 4-5 at once, the server load skyrockets to an average of around 36. This is just a single person. I imagine when it opens, many people will be uploading at once.

  It seems ffmpeg tries to use all the resources available per conversion.

  I’ve heard there’s a -threads setting you can change, but I cannot find it. I have an 8 cpu server. It’s only used for conversions, so I’ve heard the best setting would be between 2 and 4. I can test it out.

  But how do I change this setting ? Everything I see online discusses this setting, but not the steps to change it.