TensorFlow C library accepts config for session options to
set different parameters for the inference. This patch exports
this interface.
The config is a serialized tensorflow.ConfigProto proto, so we need
two steps to use it:
1. generate the serialized proto with python (see script example below)
the output looks like: 0xab...cd
where 0xcd is the least significant byte and 0xab is the most significant byte.
2. pass the python script output into ffmpeg with
dnn_processing=options=sess_config=0xab...cd
The following script is an example to specify one GPU. If the system contains
3 GPU cards, the visible_device_list could be '0', '1', '2', '0,1' etc.
'0' does not mean physical GPU card 0, we need to try and see.
And we can also add more opitions here to generate more serialized proto.
script example to generate serialized proto which specifies one GPU:
import tensorflow as tf
gpu_options = tf.GPUOptions(visible_device_list='0')
config = tf.ConfigProto(gpu_options=gpu_options)
s = config.SerializeToString()
b = ''.join("%02x" % int(ord(b)) for b in s[::-1])
print('0x%s' % b)
ad73b32d2922f4237405043d19763229aee0e59e added some code for freeing in
the input's config_props function, yet this is unnecessary as uninit is
called anyway if config_props fails.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
This has happened when initializing the motion estimation context if
width or height of the video was smaller than the block size used
for motion estimation and if the motion interpolation mode indicates
not to use motion estimation.
The solution is of course to only initialize the motion estimation
context if the interpolation mode uses motion estimation.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
The latter code relies upon the dimensions to be not too small;
otherwise one will call av_clip() with min > max lateron which aborts
in case ASSERT_LEVEL is >= 2 or one will get a nonsense result that may
lead to a heap-buffer-overflow/underflow. The latter has happened in
ticket #8248 which this commit fixes.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
This reverts commit 5bbf58ab876279ca1a5a2f30563f271c99b93e62.
The setparams filters are not hwframe aware, so the default context
passthrough behaviour is needed to allow using them with hardware frames.
