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diff --git a/doc/filters.texi b/doc/filters.texi index 5e35fa6467..68f17dd563 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -10127,6 +10127,46 @@ ffmpeg -i INPUT -f lavfi -i nullsrc=hd720,geq='r=128+80*(sin(sqrt((X-W/2)*(X-W/2 @end example @end itemize +@section dnn_detect + +Do object detection with deep neural networks. + +The filter accepts the following options: + +@table @option +@item dnn_backend +Specify which DNN backend to use for model loading and execution. This option accepts +only openvino now, tensorflow backends will be added. + +@item model +Set path to model file specifying network architecture and its parameters. +Note that different backends use different file formats. + +@item input +Set the input name of the dnn network. + +@item output +Set the output name of the dnn network. + +@item confidence +Set the confidence threshold (default: 0.5). + +@item labels +Set path to label file specifying the mapping between label id and name. +Each label name is written in one line, tailing spaces and empty lines are skipped. +The first line is the name of label id 0 (usually it is 'background'), +and the second line is the name of label id 1, etc. +The label id is considered as name if the label file is not provided. + +@item backend_configs +Set the configs to be passed into backend + +@item async +use DNN async execution if set (default: set), +roll back to sync execution if the backend does not support async. + +@end table + @anchor{dnn_processing} @section dnn_processing |