Signed-off-by: Ting Fu
---
doc/filters.texi| 43 +-
tools/python/convert.py | 56 ---
tools/python/convert_from_tensorflow.py | 607
tools/python/convert_header.py | 26 -
4 files changed, 4 insertions(+), 728 deletions(-)
delete mode 100644 tools/python/convert.py
delete mode 100644 tools/python/convert_from_tensorflow.py
delete mode 100644 tools/python/convert_header.py
diff --git a/doc/filters.texi b/doc/filters.texi
index 9c32339141..797d1c9fe2 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -11222,9 +11222,6 @@ 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
@@ -11245,21 +11242,16 @@ 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.
@@ -11583,9 +11575,6 @@ 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
@@ -11601,14 +11590,9 @@ 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.
@@ -11634,12 +11618,6 @@ Remove rain in rgb24 frame with can.pb (see
@ref{derain} filter):
./ffmpeg -i rain.jpg -vf
format=rgb24,dnn_processing=dnn_backend=tensorflow:model=can.pb:input=x:output=y
derain.jpg
@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
@@ -21648,13 +21626,6 @@ Efficient Sub-Pixel Convolutional Neural Network model
(ESPCN).
See @url{https://arxiv.org/abs/1609.05158}.
@end itemize
-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
@@ -21663,9 +21634,6 @@ 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
@@ -21673,13 +21641,10 @@ 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 f
