avfilter/vf_psnr: remove unnecessary check

[ffmpeg] / doc / filters.texi

diff --git a/doc/filters.texi b/doc/filters.texi
index 68f17dd5630f43f0a6c96a48ccae1a1701d4c855..36e35a175b391294ded00df234f7d040ce4b61cb 100644 (file)
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -9886,7 +9886,7 @@ 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/install_c}) and configure FFmpeg with
+@url{https://www.tensorflow.org/install/lang_c}) and configure FFmpeg with
 @code{--enable-libtensorflow}
 @end table
 Default value is @samp{native}.
@@ -10187,7 +10187,7 @@ 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/install_c}) and configure FFmpeg with
+@url{https://www.tensorflow.org/install/lang_c}) and configure FFmpeg with
 @code{--enable-libtensorflow}
 
 @item openvino
@@ -10214,6 +10214,12 @@ Set the input name of the dnn network.
 @item output
 Set the output name of the dnn network.
 
+@item backend_configs
+Set the configs to be passed into backend
+
+For tensorflow backend, you can set its configs with @option{sess_config} options,
+please use tools/python/tf_sess_config.py to get the configs of TensorFlow backend for your system.
+
 @item async
 use DNN async execution if set (default: set),
 roll back to sync execution if the backend does not support async.
@@ -10242,9 +10248,10 @@ Handle the Y channel with srcnn.pb (see @ref{sr} filter) for frame with yuv420p
 @end example
 
 @item
-Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported):
+Handle the Y channel with espcn.pb (see @ref{sr} filter), which changes frame size, for format yuv420p (planar YUV formats supported),
+please use tools/python/tf_sess_config.py to get the configs of TensorFlow backend for your system.
 @example
-./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y -y tmp.espcn.jpg
+./ffmpeg -i 480p.jpg -vf format=yuv420p,dnn_processing=dnn_backend=tensorflow:model=espcn.pb:input=x:output=y:backend_configs=sess_config=0x10022805320e09cdccccccccccec3f20012a01303801 -y tmp.espcn.jpg
 @end example
 
 @end itemize
@@ -18893,7 +18900,7 @@ 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/install_c}) and configure FFmpeg with
+@url{https://www.tensorflow.org/install/lang_c}) and configure FFmpeg with
 @code{--enable-libtensorflow}
 @end table
 
@@ -21803,6 +21810,9 @@ Default is @code{3}.
 Apply cross fade from one input video stream to another input video stream.
 The cross fade is applied for specified duration.
 
+Both inputs must be constant frame-rate and have the same resolution, pixel format,
+frame rate and timebase.
+
 The filter accepts the following options:
 
 @table @option