Adding the support to build FFMPEG with HW accelerated decode(nvdec) and
encode on aarch64 architecture.
Signed-off-by: Timo Rothenpieler <timo@rothenpieler.org>

Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

enable dvcC/dvvC box support from DOVI sidedata.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

support DOVI sidedata.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

dump DOVI side data.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

support dvcC/dvcC box from spec Dolby Vision Streams Within the
ISO Base MediaFile Format Version 2.1.2
(https://www.dolby.com/in/en/technologies/dolby-vision/dolby-vision\
-bitstreams-within-the-iso-base-media-file-format-v2.1.2.pdf)

export the DOVI information to sidedata.
Signed-off-by: vacingfang <vacingfang@tencent.com>

support DOVI Video Stream Descriptor from Dolby Vision Streams
Within the MPEG-2 Transport Stream Format V1.2

From the spec: https://www.dolby.com/us/en/technologies/\
dolby-vision/dolby-vision-bitstreams-in-mpeg-2-transport-\
stream-multiplex-v1.2.pdf.

export the DOVI information with sidedata.
Signed-off-by: vacingfang <vacingfang@tencent.com>

add DOVI related struct
Signed-off-by: vacingfang <vacingfang@tencent.com>

add a new sidedata type for DOVI.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

Also the patch makes this code consistent with mpeg4videodec.c
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>

This patch adds support to skip the CRG marker.
The CRG marker, is an informational marker.
Allows samples such as p0_03.j2k to be decoded.
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>

Fixes: out of array read
Fixes: 20796/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_IFF_ILBM_fuzzer-5111364702175232.fuzz

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpegSigned-off-by: Michael Niedermayer <michael@niedermayer.cc>

Reviewed-by: Peter Ross <pross@xvid.org>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>

They can be demuxed by ffmpeg.

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

it can be tested with model file generated with below python script:
import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpg')
in_img = in_img.astype(np.float32)/255.0
in_data = in_img[np.newaxis, :]

x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
z1 = 2 / x
z2 = 1 / z1
z3 = z2 / 0.25 + 0.3
z4 = z3 - x * 1.5 - 0.3
y = tf.identity(z4, name='dnn_out')

sess=tf.Session()
sess.run(tf.global_variables_initializer())

graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)

print("image_process.pb generated, please use \
path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")

output = sess.run(y, feed_dict={x: in_data})
imageio.imsave("out.jpg", np.squeeze(output))
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

it can be tested with model file generated from above python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpg')
in_img = in_img.astype(np.float32)/255.0
in_data = in_img[np.newaxis, :]

x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
z1 = 0.5 + 0.3 * x
z2 = z1 * 4
z3 = z2 - x - 2.0
y = tf.identity(z3, name='dnn_out')

sess=tf.Session()
sess.run(tf.global_variables_initializer())

graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)

print("image_process.pb generated, please use \
path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")

output = sess.run(y, feed_dict={x: in_data})
imageio.imsave("out.jpg", np.squeeze(output))
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

It can be tested with the model file generated with below python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpg')
in_img = in_img.astype(np.float32)/255.0
in_data = in_img[np.newaxis, :]

x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
z1 = 0.039 + x
z2 = x + 0.042
z3 = z1 + z2
z4 = z3 - 0.381
z5 = z4 - x
y = tf.math.maximum(z5, 0.0, name='dnn_out')

sess=tf.Session()
sess.run(tf.global_variables_initializer())

graph_def = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])
tf.train.write_graph(graph_def, '.', 'image_process.pb', as_text=False)

print("image_process.pb generated, please use \
path_to_ffmpeg/tools/python/convert.py to generate image_process.model\n")

output = sess.run(y, feed_dict={x: in_data})
imageio.imsave("out.jpg", np.squeeze(output))
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>

fix resource leak in mbedtls part.

fix #8614
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>

This bug was introduced in 3589b3f2.
Fixes Coverity ID 1462425.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

Signed-off-by: Martin Storsjö <martin@martin.st>

Fixes ticket #2622.
Signed-off-by: Marton Balint <cus@passwd.hu>

Signed-off-by: Marton Balint <cus@passwd.hu>

The standard does not allow more.
Signed-off-by: Marton Balint <cus@passwd.hu>

Signed-off-by: Marton Balint <cus@passwd.hu>

fixes #8080
Signed-off-by: Błażej Szczygieł <spaz16@wp.pl>

We derive the destination buffer stride from the input stride,
which meant if the image was flipped with a negative stride,
we'd be FFALIGNING a negative number which ends up being huge,
thus making the Vulkan buffer allocation fail and the whole
image transfer fail.

Only found out about this as OpenGL compositors can copy an entire
image with a single call if its flipped, rather than iterate over
each line.

Reindentation, removal of { } if they contain only one statement
and moving the return statement to a line of its own in situations
like "if (ret < 0) return ret;". Moreover, several overlong lines
were made shorter and a camelCase variable received a name in line
with our naming conventions.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

Up until now, the Matroska muxer would mark a track as default if it had
the disposition AV_DISPOSITION_DEFAULT or if there was no track with
AV_DISPOSITION_DEFAULT set; in the latter case even more than one track
of a kind (audio, video, subtitles) was marked as default which is not
sensible.

This commit changes the logic used to mark tracks as default. There are
now three modes for this:
a) In the "infer" mode the first track of every type (audio, video,
subtitles) with default disposition set will be marked as default; if
there is no such track (for a given type), then the first track of this
type (if existing) will be marked as default. This behaviour is inspired
by mkvmerge. It ensures that the default flags will be set in a sensible
way even if the input comes from containers that lack the concept of
default flags. This mode is the default mode.
b) The "infer_no_subs" mode is similar to the "infer" mode; the
difference is that if no subtitle track with default disposition exists,
no subtitle track will be marked as default at all.
c) The "passthrough" mode: Here the track will be marked as default if
and only the corresponding input stream had disposition default.

This fixes ticket #8173 (the passthrough mode is ideal for this) as
well as ticket #8416 (the "infer_no_subs" mode leads to the desired
output).
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

At the end of encoding, the FLAC encoder sends a packet whose side data
contains updated extradata (e.g. a correct md5 checksum). The Matroska
muxer uses this to update the CodecPrivate.

In doing so, the stream's codecpar was copied. But given that writing
a FLAC CodecPrivate does not modify the used AVCodecParameters at all,
there is no need to do so and this commit changes this.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

Several EBML Master elements for which a good upper bound of the final
length was available were nevertheless written without giving an
upper bound of the final length to start_ebml_master(), so that their
length fields were eight bytes long. This has been changed.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

The Matroska muxer does not write every stream as a Matroska track;
some streams are written as AttachedFile. But should no stream be
written as a Matroska track, the Matroska muxer would nevertheless
write a Tracks element without a TrackEntry. This is against the spec.
This commit changes this and only writes a Tracks if there is a Matroska
track.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>

As WebM doesn't support Attachments, the Matroska muxer drops them when
in WebM mode. This happened silently until this commit which adds a
warning for this.
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>