[FFmpeg-devel] [PATCH 6/6] lavfi/dnn_classify: add filter dnn_classify for classification based on detection bounding boxes

[Guo, Yejun]

> -----Original Message-----
> From: Guo, Yejun <yejun.guo at intel.com>
> Sent: 2021年4月18日 18:08
> To: ffmpeg-devel at ffmpeg.org
> Cc: Guo, Yejun <yejun.guo at intel.com>
> Subject: [PATCH 6/6] 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/20
> 21.1/emotions-recognition-retail-0003.bin
> wget
> https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/20
> 21.1/emotions-recognition-retail-0003.xml
> wget
> https://github.com/guoyejun/ffmpeg_dnn/raw/main/models/openvino/20
> 21.1/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-ad
> as-0001.label,dnn_classify=dnn_backend=openvino:model=emotions-recog
> nition-retail-0003.xml:input=data:output=prob_emotion:confidence=0.3:la
> bels=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 at intel.com>
> ---
>  configure                     |   1 +
>  doc/filters.texi              |  36 ++++
>  libavfilter/Makefile          |   1 +
>  libavfilter/allfilters.c      |   1 +
>  libavfilter/vf_dnn_classify.c | 330
> ++++++++++++++++++++++++++++++++++
>  5 files changed, 369 insertions(+)
>  create mode 100644 libavfilter/vf_dnn_classify.c
> 
> +
> +AVFilter ff_vf_dnn_classify = {
> +    .name          = "dnn_classify",
> +    .description   = NULL_IF_CONFIG_SMALL("Apply DNN classify filter
> to the input."),
> +    .priv_size     = sizeof(DnnClassifyContext),
> +    .init          = dnn_classify_init,
> +    .uninit        = dnn_classify_uninit,
> +    .query_formats = dnn_classify_query_formats,
> +    .inputs        = dnn_classify_inputs,
> +    .outputs       = dnn_classify_outputs,
> +    .priv_class    = &dnn_classify_class,
> +    .activate      = dnn_classify_activate,
> +};

I've locally added 'const' for AVFilter ff_vf_dnn_classify, any other comment? thanks.