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Diffstat (limited to 'doc/filters.texi')
| -rw-r--r-- | doc/filters.texi | 39 |
1 files changed, 4 insertions, 35 deletions
diff --git a/doc/filters.texi b/doc/filters.texi index 5022f96e46..01a71223a1 100644 --- a/doc/filters.texi +++ b/doc/filters.texi @@ -11403,9 +11403,6 @@ See @url{http://openaccess.thecvf.com/content_ECCV_2018/papers/Xia_Li_Recurrent_ Training as well as model generation scripts are provided in the repository at @url{https://github.com/XueweiMeng/derain_filter.git}. -Native model files (.model) can be generated from TensorFlow model -files (.pb) by using tools/python/convert.py - The filter accepts the following options: @table @option @@ -11426,21 +11423,16 @@ Specify which DNN backend to use for model loading and execution. This option ac the following values: @table @samp -@item native -Native implementation of DNN loading and execution. - @item tensorflow TensorFlow backend. To enable this backend you need to install the TensorFlow for C library (see @url{https://www.tensorflow.org/install/lang_c}) and configure FFmpeg with @code{--enable-libtensorflow} @end table -Default value is @samp{native}. @item model Set path to model file specifying network architecture and its parameters. -Note that different backends use different file formats. TensorFlow and native -backend can load files for only its format. +Note that different backends use different file formats. TensorFlow can load files for only its format. @end table To get full functionality (such as async execution), please use the @ref{dnn_processing} filter. @@ -11764,9 +11756,6 @@ Specify which DNN backend to use for model loading and execution. This option ac the following values: @table @samp -@item native -Native implementation of DNN loading and execution. - @item tensorflow TensorFlow backend. To enable this backend you need to install the TensorFlow for C library (see @@ -11782,14 +11771,9 @@ be needed if the header files and libraries are not installed into system path) @end table -Default value is @samp{native}. - @item model Set path to model file specifying network architecture and its parameters. -Note that different backends use different file formats. TensorFlow, OpenVINO and native -backend can load files for only its format. - -Native model file (.model) can be generated from TensorFlow model file (.pb) by using tools/python/convert.py +Note that different backends use different file formats. TensorFlow, OpenVINO backend can load files for only its format. @item input Set the input name of the dnn network. @@ -11816,12 +11800,6 @@ Remove rain in rgb24 frame with can.pb (see @ref{derain} filter): @end example @item -Halve the pixel value of the frame with format gray32f: -@example -ffmpeg -i input.jpg -vf format=grayf32,dnn_processing=model=halve_gray_float.model:input=dnn_in:output=dnn_out:dnn_backend=native -y out.native.png -@end example - -@item Handle the Y channel with srcnn.pb (see @ref{sr} filter) for frame with yuv420p (planar YUV formats supported): @example ./ffmpeg -i 480p.jpg -vf format=yuv420p,scale=w=iw*2:h=ih*2,dnn_processing=dnn_backend=tensorflow:model=srcnn.pb:input=x:output=y -y srcnn.jpg @@ -21878,9 +21856,6 @@ Training scripts as well as scripts for model file (.pb) saving can be found at @url{https://github.com/XueweiMeng/sr/tree/sr_dnn_native}. Original repository is at @url{https://github.com/HighVoltageRocknRoll/sr.git}. -Native model files (.model) can be generated from TensorFlow model -files (.pb) by using tools/python/convert.py - The filter accepts the following options: @table @option @@ -21889,9 +21864,6 @@ Specify which DNN backend to use for model loading and execution. This option ac the following values: @table @samp -@item native -Native implementation of DNN loading and execution. - @item tensorflow TensorFlow backend. To enable this backend you need to install the TensorFlow for C library (see @@ -21899,13 +21871,10 @@ need to install the TensorFlow for C library (see @code{--enable-libtensorflow} @end table -Default value is @samp{native}. - @item model Set path to model file specifying network architecture and its parameters. -Note that different backends use different file formats. TensorFlow backend -can load files for both formats, while native backend can load files for only -its format. +Note that different backends use different file formats. TensorFlow, OpenVINO backend +can load files for only its format. @item scale_factor Set scale factor for SRCNN model. Allowed values are @code{2}, @code{3} and @code{4}. |