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• Revision eee904c9b9 : Adaptive mode search scheduling This commit enables an adaptive mode search ord

  18 septembre 2014, par Jingning Han

  Changed Paths :
   Modify /vp9/encoder/vp9_encoder.c

  
   Modify /vp9/encoder/vp9_rd.h

  
   Modify /vp9/encoder/vp9_rdopt.c

  
   Modify /vp9/encoder/vp9_speed_features.c

  
   Modify /vp9/encoder/vp9_speed_features.h

  
  
  Adaptive mode search scheduling

  This commit enables an adaptive mode search order scheduling scheme
  in the rate-distortion optimization. It changes the compression
  performance by -0.433% and -0.420% for derf and stdhd respectively.
  It provides speed improvement for speed 3 :

  bus CIF 1000 kbps
  24590 b/f, 35.513 dB, 7864 ms ->
  24696 b/f, 35.491 dB, 7408 ms (6% speed-up)

  stockholm 720p 1000 kbps
  8983 b/f, 35.078 dB, 65698 ms ->
  8962 b/f, 35.054 dB, 60298 ms (8%)

  old_town_cross 720p 1000 kbps
  11804 b/f, 35.666 dB, 62492 ms ->
  11778 b/f, 35.609 dB, 56040 ms (10%)

  blue_sky 1080p 1500 kbps
  57173 b/f, 36.179 dB, 77879 ms ->
  57199 b/f, 36.131 dB, 69821 ms (10%)

  pedestrian_area 1080p 2000 kbps
  74241 b/f, 41.105 dB, 144031 ms ->
  74271 b/f, 41.091 dB, 133614 ms (8%)

  Change-Id : Iaad28cbc99399030fc5f9951eb5aa7fa633f320e

• vaapi_encode_mjpeg : fix bad component id bug

  7 juin 2019, par U. Artie Eoff

  vaapi_encode_mjpeg : fix bad component id bug
  The compound literals assigned to "components"
  
  only exist within the scope of the if/else
  
  block (thanks Mark Thompson for the better
  
  explanation).
  Thus, after this if/else block, "components"
  
  ends up pointing to an arbitrary/undefined
  
  array.  With some compilers and depending on
  
  optimization settings, these arbitrary values
  
  may end up being the same value (i.e. 0 with
  
  GNU GCC 9.x).  Unfortunately, the GNU GCC
  
  compiler, at least, never prints any warnings
  
  about this.
  This patch fixes this issue by assigning the
  
  constant arrays to local variables at function
  
  scope and then pointing "components" to those
  
  as necessary.
  Fixes #7915
  Signed-off-by : U. Artie Eoff <ullysses.a.eoff@intel.com>
  

  • [DH] libavcodec/vaapi_encode_mjpeg.c

• 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