- 23 Apr, 2020 17 commits
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Andreas Rheinhardt authored
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
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Andreas Rheinhardt authored
The documentation of av_dict_set() states that values >= 0 indicate success, whereas av_packet_unpack_dictionary() implies that return values > 0 are impossible. So only forward the return value of av_dict_set() in av_packet_unpack_dictionary() on error. (Btw: av_dict_set() does currently not return values > 0.) Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
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Michael Niedermayer authored
Fixes: Timeout (29sec -> 5ms) Fixes: 20237/clusterfuzz-testcase-minimized-ffmpeg_BSF_HEVC_MP4TOANNEXB_fuzzer-5165615044362240 Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpegSigned-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Gautam Ramakrishnan authored
This patch adds support for decoding images with a Region of Interest. Allows decoding samples such as p0_03.j2k. This patch should fix ticket #4681. Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Lynne authored
Then sample_aspect_ratio line at the bottom was cargo-culted from the vaapi scaling filter, but its unnecesary.
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Lynne authored
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ManojGuptaBonda authored
Adding the support to build FFMPEG with HW accelerated decode(nvdec) and encode on aarch64 architecture. Signed-off-by: Timo Rothenpieler <timo@rothenpieler.org>
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Gyan Doshi authored
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Jun Zhao authored
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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Jun Zhao authored
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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Jun Zhao authored
enable dvcC/dvvC box support from DOVI sidedata. Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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Jun Zhao authored
support DOVI sidedata. Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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Jun Zhao authored
dump DOVI side data. Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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vacingfang authored
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>
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vacingfang authored
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>
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vacingfang authored
add DOVI related struct Signed-off-by: vacingfang <vacingfang@tencent.com>
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Jun Zhao authored
add a new sidedata type for DOVI. Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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- 22 Apr, 2020 15 commits
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Vitaly Buka authored
Also the patch makes this code consistent with mpeg4videodec.c Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Gautam Ramakrishnan authored
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>
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Michael Niedermayer authored
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>
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Michael Niedermayer authored
Reviewed-by: Peter Ross <pross@xvid.org> Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Thilo Borgmann authored
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Thilo Borgmann authored
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Gyan Doshi authored
They can be demuxed by ffmpeg.
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Guo, Yejun authored
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
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Guo, Yejun authored
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>
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Guo, Yejun authored
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
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Guo, Yejun authored
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>
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Guo, Yejun authored
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
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Guo, Yejun authored
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>
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Jun Zhao authored
fix resource leak in mbedtls part. fix #8614 Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
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Andreas Rheinhardt authored
This bug was introduced in 3589b3f2. Fixes Coverity ID 1462425. Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
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- 21 Apr, 2020 8 commits
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Martin Storsjö authored
Signed-off-by: Martin Storsjö <martin@martin.st>
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Marton Balint authored
Fixes ticket #2622. Signed-off-by: Marton Balint <cus@passwd.hu>
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Marton Balint authored
Signed-off-by: Marton Balint <cus@passwd.hu>
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Marton Balint authored
The standard does not allow more. Signed-off-by: Marton Balint <cus@passwd.hu>
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Marton Balint authored
Signed-off-by: Marton Balint <cus@passwd.hu>
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Błażej Szczygieł authored
fixes #8080 Signed-off-by: Błażej Szczygieł <spaz16@wp.pl>
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Lynne authored
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.
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Andreas Rheinhardt authored
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>
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