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• lavd/v4l2 : detect device name truncation

  25 novembre 2021, par Anton Khirnov

  lavd/v4l2 : detect device name truncation
  Silences the following warning with gcc 10 :
  
  src/libavdevice/v4l2.c : In function ‘v4l2_get_device_list’ :
  
  src/libavdevice/v4l2.c:1042:64 : warning : ‘%s’ directive output may be truncated writing up to 255 bytes into a region of size 251 [-Wformat-truncation=]
  
   1042 |         ret = snprintf(device_name, sizeof(device_name), "/dev/%s", entry->d_name) ;
  
        |                                                                ^ 
  
  src/libavdevice/v4l2.c:1042:15 : note : ‘snprintf’ output between 6 and 261 bytes into a destination of size 256
  
   1042 |         ret = snprintf(device_name, sizeof(device_name), "/dev/%s", entry->d_name) ;
  
        |               ^ 
  Previous patches intending to silence it have proposed increasing the
  
  buffer size, but doing that correctly seems to be tricky. Failing on
  
  truncation is simpler and just as effective (as excessively long device
  
  names are unlikely).
  

  • [DH] libavdevice/v4l2.c

• lavfi/dnn_classify : add filter dnn_classify for classification based on detection...

  17 mars 2021, par Guo, Yejun

  lavfi/dnn_classify : add filter dnn_classify for classification based on detection bounding boxes
  classification is done on every detection bounding box in frame's side data,
  
  which are the results of object detection (filter dnn_detect).
  Please refer to commit log of dnn_detect for the material for detection,
  
  and see below for classification.
   download material for classifcation :
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/emotions-recognition-retail-0003.bin
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/emotions-recognition-retail-0003.xml
  
  wget https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/2021.1/emotions-recognition-retail-0003.label
   run command as :
  
  ./ffmpeg -i cici.jpg -vf dnn_detect=dnn_backend=openvino:model=face-detection-adas-0001.xml:input=data:output=detection_out:confidence=0.6:labels=face-detection-adas-0001.label,dnn_classify=dnn_backend=openvino:model=emotions-recognition-retail-0003.xml:input=data:output=prob_emotion:confidence=0.3:labels=emotions-recognition-retail-0003.label:target=face,showinfo -f null -
  We'll see the detect&classify result as below :
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0]   side data - detection bounding boxes :
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0] source : face-detection-adas-0001.xml, emotions-recognition-retail-0003.xml
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0] index : 0,  region : (1005, 813) -> (1086, 905), label : face, confidence : 10000/10000.
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0]            classify :  label : happy, confidence : 6757/10000.
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0] index : 1,  region : (888, 839) -> (967, 926), label : face, confidence : 6917/10000.
  
  [Parsed_showinfo_2 @ 0x55b7d25e77c0]            classify :  label : anger, confidence : 4320/10000.
  Signed-off-by : Guo, Yejun <yejun.guo@intel.com>
  

  • [DH] configure
  • [DH] doc/filters.texi
  • [DH] libavfilter/Makefile
  • [DH] libavfilter/allfilters.c
  • [DH] libavfilter/vf_dnn_classify.c

• libavcodec/jpeg2000dec.c : ROI marker support

  23 avril 2020, par Gautam Ramakrishnan

  libavcodec/jpeg2000dec.c : ROI marker support
  This patch adds support for decoding images
  
  with a Region of Interest. Allows decoding
  
  samples such as p0_03.j2k. This patch should
  
  fix ticket #4681.
  Signed-off-by : Michael Niedermayer <michael@niedermayer.cc>
  

  • [DH] libavcodec/jpeg2000.h
  • [DH] libavcodec/jpeg2000dec.c