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* commit 'd639dcdae022130078c9c84b7b691c5e9694786c':
ratecontrol: Move Xvid-related functions to the place they are actually used
Merged-by: Clément Bœsch <u@pkh.me>
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The code relies on their validity and otherwise can try to access a NULL
object->rle pointer, causing segmentation faults.
Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: Andreas Cadhalpun <Andreas.Cadhalpun@googlemail.com>
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The assumption this is based on is wrong, the code is not always run with bitexact flags
This reverts commit a956164e1eb3418922cae949f02ad4035f013213, reversing
changes made to f6005907fdeb9e4de37568ed5c1a8e7b869126f6.
Approved-by: James Almer <jamrial@gmail.com>
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mjpeg_decode_scan_progressive_ac()
Fixes timeout
Fixes: 496/clusterfuzz-testcase-5805083497332736
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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* commit 'b4bb9593834460bbbe0e70823f2c503cb01ad052':
ratecontrol: Drop commented out cruft
Merged-by: James Almer <jamrial@gmail.com>
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* commit 'd06dfaa5cbdd20acfd2364b16c0f4ae4ddb30a65':
x86: huffyuv: Use EXTERNAL_SSSE3_FAST convenience macro where appropriate
Merged-by: James Almer <jamrial@gmail.com>
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* commit '4efab89332ea39a77145e8b15562b981d9dbde68':
x86: Use *_FAST/*_SLOW CPU feature detection macros where appropriate
Merged-by: James Almer <jamrial@gmail.com>
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* commit '0a39c9ac0bfd7345fe676b4e2707d9cec3cbb553':
x86: hpeldsp: Don't check for bitexact flag when initializing VP3-specific code
Merged-by: James Almer <jamrial@gmail.com>
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* commit '95c1df929b92d81454656c222a35ec5f7db576b4':
x86: hpeldsp: Drop unused function parameters
Merged-by: James Almer <jamrial@gmail.com>
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* commit 'c3e83ad3b7d75f3597f47ada2616ba4479665009':
x86: hpeldsp: Use EXTERNAL_SSE2_FAST where appropriate
Merged-by: James Almer <jamrial@gmail.com>
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* commit '1dfc3cf89d0eb026af28be46294b85d79499ffb5':
x86: hpeldsp: Split off VP3-specific bits into a separate file
Merged-by: James Almer <jamrial@gmail.com>
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* commit '76f7e70aa04fc5dbef5242b11cbf8fe4499f61d4':
h264dec: handle zero-sized NAL units in get_last_needed_nal()
See 641dccc2aa5e0bf6b3c06998f9a7f24a5cf725e7
Merged-by: Clément Bœsch <cboesch@gopro.com>
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* commit 'fca3c3b61952aacc45e9ca54d86a762946c21942':
hevc: Add AVX2 DC IDCT
Mostly noop as we already have that code.
In the ASM, code is merged with the exception of SECTION which is kept
uppercase for consistency with the rest of the codebase.
Still in the ASM, the prototype comment is fixed to honor the '_' added
from the original commit.
idct_dc_proto() is dropped as it's not used anymore here.
Merged-by: Clément Bœsch <cboesch@gopro.com>
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* commit 'cc16da75c2f99d92f7a6461100f041352deb6d88':
hevc: Add coefficient limiting to speed up IDCT
Noop again as we have these changes already, only random spacing
changes.
Merged-by: Clément Bœsch <cboesch@gopro.com>
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* commit 'a92fd8a06256e71a0be87b03751ec3c2a4a8aa21':
hevc: Add DC IDCT
Noop, only spacing adjusted.
Merged-by: Clément Bœsch <cboesch@gopro.com>
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* commit '4f247de3b797cdc9d243d26534412f81c306e5b5':
hevcdsp_template: Templatize IDCT
This commit is a noop as we already have that code from a previous
commits (see 92cccb7bcd79845020ed8abebf35170c182443b2).
Spacing is adjusted to reduce the diff.
Merged-by: Clément Bœsch <cboesch@gopro.com>
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* commit '1bd890ad173d79e7906c5e1d06bf0a06cca4519d':
hevc: Separate adding residual to prediction from IDCT
This commit should be a noop but isn't because of the following renames:
- transform_add → add_residual
- transform_skip → dequant
- idct_4x4_luma → transform_4x4_luma
Merged-by: Clément Bœsch <cboesch@gopro.com>
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Fixes ticket #6096.
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"Issue" introduced in 83976e40e89655162e5394cf8915d9b6d89702d9.
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Speeds up next marker search when a SOS marker is found but the frame is
discarded (which happens in avformat_find_stream_info).
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Fixes using freed memory
Introduced in 744801989099df26e90b00062c645969c5347533
Fixes: 471/fuzz-1-ffmpeg_VIDEO_AV_CODEC_ID_H264_fuzzer
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Signed-off-by: Paul B Mahol <onemda@gmail.com>
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Fixes out of array access
Fixes: 452/fuzz-1-ffmpeg_VIDEO_AV_CODEC_ID_INTERPLAY_VIDEO_fuzzer
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Tested-by: ami_stuff
Fixes a part of ticket #6094.
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Fixes timeout
Fixes: 446/fuzz-3-ffmpeg_VIDEO_AV_CODEC_ID_VP6_fuzzer
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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This work is sponsored by, and copyright, Google.
This is similar to the arm version, but due to the larger registers
on aarch64, we can do 8 pixels at a time for all filter sizes.
Examples of runtimes vs the 32 bit version, on a Cortex A53:
ARM AArch64
vp9_loop_filter_h_4_8_10bpp_neon: 213.2 172.6
vp9_loop_filter_h_8_8_10bpp_neon: 281.2 244.2
vp9_loop_filter_h_16_8_10bpp_neon: 657.0 444.5
vp9_loop_filter_h_16_16_10bpp_neon: 1280.4 877.7
vp9_loop_filter_mix2_h_44_16_10bpp_neon: 397.7 358.0
vp9_loop_filter_mix2_h_48_16_10bpp_neon: 465.7 429.0
vp9_loop_filter_mix2_h_84_16_10bpp_neon: 465.7 428.0
vp9_loop_filter_mix2_h_88_16_10bpp_neon: 533.7 499.0
vp9_loop_filter_mix2_v_44_16_10bpp_neon: 271.5 244.0
vp9_loop_filter_mix2_v_48_16_10bpp_neon: 330.0 305.0
vp9_loop_filter_mix2_v_84_16_10bpp_neon: 329.0 306.0
vp9_loop_filter_mix2_v_88_16_10bpp_neon: 386.0 365.0
vp9_loop_filter_v_4_8_10bpp_neon: 150.0 115.2
vp9_loop_filter_v_8_8_10bpp_neon: 209.0 175.5
vp9_loop_filter_v_16_8_10bpp_neon: 492.7 345.2
vp9_loop_filter_v_16_16_10bpp_neon: 951.0 682.7
This is significantly faster than the ARM version in almost
all cases except for the mix2 functions.
Based on START_TIMER/STOP_TIMER wrapping around a few individual
functions, the speedup vs C code is around 2-3x.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
Compared to the arm version, on aarch64 we can keep the full 8x8
transform in registers, and for 16x16 and 32x32, we can process
it in slices of 4 pixels instead of 2.
Examples of runtimes vs the 32 bit version, on a Cortex A53:
ARM AArch64
vp9_inv_adst_adst_4x4_sub4_add_10_neon: 111.0 109.7
vp9_inv_adst_adst_8x8_sub8_add_10_neon: 914.0 733.5
vp9_inv_adst_adst_16x16_sub16_add_10_neon: 5184.0 3745.7
vp9_inv_dct_dct_4x4_sub1_add_10_neon: 65.0 65.7
vp9_inv_dct_dct_4x4_sub4_add_10_neon: 100.0 96.7
vp9_inv_dct_dct_8x8_sub1_add_10_neon: 111.0 119.7
vp9_inv_dct_dct_8x8_sub8_add_10_neon: 618.0 494.7
vp9_inv_dct_dct_16x16_sub1_add_10_neon: 295.1 284.6
vp9_inv_dct_dct_16x16_sub2_add_10_neon: 2303.2 1883.9
vp9_inv_dct_dct_16x16_sub8_add_10_neon: 2984.8 2189.3
vp9_inv_dct_dct_16x16_sub16_add_10_neon: 3890.0 2799.4
vp9_inv_dct_dct_32x32_sub1_add_10_neon: 1044.4 1012.7
vp9_inv_dct_dct_32x32_sub2_add_10_neon: 13333.7 9695.1
vp9_inv_dct_dct_32x32_sub16_add_10_neon: 18531.3 12459.8
vp9_inv_dct_dct_32x32_sub32_add_10_neon: 24470.7 16160.2
vp9_inv_wht_wht_4x4_sub4_add_10_neon: 83.0 79.7
The larger transforms are significantly faster than the corresponding
ARM versions.
The speedup vs C code is smaller than in 32 bit mode, probably
because the 64 bit intermediates in the C code can be expressed
more efficiently in aarch64.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
This has mostly got the same differences to the 8 bit version as
in the arm version. For the horizontal filters, we do 16 pixels
in parallel as well. For the 8 pixel wide vertical filters, we can
accumulate 4 rows before storing, just as in the 8 bit version.
Examples of runtimes vs the 32 bit version, on a Cortex A53:
ARM AArch64
vp9_avg4_10bpp_neon: 35.7 30.7
vp9_avg8_10bpp_neon: 93.5 84.7
vp9_avg16_10bpp_neon: 324.4 296.6
vp9_avg32_10bpp_neon: 1236.5 1148.2
vp9_avg64_10bpp_neon: 4639.6 4571.1
vp9_avg_8tap_smooth_4h_10bpp_neon: 130.0 128.0
vp9_avg_8tap_smooth_4hv_10bpp_neon: 440.0 440.5
vp9_avg_8tap_smooth_4v_10bpp_neon: 114.0 105.5
vp9_avg_8tap_smooth_8h_10bpp_neon: 327.0 314.0
vp9_avg_8tap_smooth_8hv_10bpp_neon: 918.7 865.4
vp9_avg_8tap_smooth_8v_10bpp_neon: 330.0 300.2
vp9_avg_8tap_smooth_16h_10bpp_neon: 1187.5 1155.5
vp9_avg_8tap_smooth_16hv_10bpp_neon: 2663.1 2591.0
vp9_avg_8tap_smooth_16v_10bpp_neon: 1107.4 1078.3
vp9_avg_8tap_smooth_64h_10bpp_neon: 17754.6 17454.7
vp9_avg_8tap_smooth_64hv_10bpp_neon: 33285.2 33001.5
vp9_avg_8tap_smooth_64v_10bpp_neon: 16066.9 16048.6
vp9_put4_10bpp_neon: 25.5 21.7
vp9_put8_10bpp_neon: 56.0 52.0
vp9_put16_10bpp_neon/armv8: 183.0 163.1
vp9_put32_10bpp_neon/armv8: 678.6 563.1
vp9_put64_10bpp_neon/armv8: 2679.9 2195.8
vp9_put_8tap_smooth_4h_10bpp_neon: 120.0 118.0
vp9_put_8tap_smooth_4hv_10bpp_neon: 435.2 435.0
vp9_put_8tap_smooth_4v_10bpp_neon: 107.0 98.2
vp9_put_8tap_smooth_8h_10bpp_neon: 303.0 290.0
vp9_put_8tap_smooth_8hv_10bpp_neon: 893.7 828.7
vp9_put_8tap_smooth_8v_10bpp_neon: 305.5 263.5
vp9_put_8tap_smooth_16h_10bpp_neon: 1089.1 1059.2
vp9_put_8tap_smooth_16hv_10bpp_neon: 2578.8 2452.4
vp9_put_8tap_smooth_16v_10bpp_neon: 1009.5 933.5
vp9_put_8tap_smooth_64h_10bpp_neon: 16223.4 15918.6
vp9_put_8tap_smooth_64hv_10bpp_neon: 32153.0 31016.2
vp9_put_8tap_smooth_64v_10bpp_neon: 14516.5 13748.1
These are generally about as fast as the corresponding ARM
routines on the same CPU (at least on the A53), in most cases
marginally faster.
The speedup vs C code is around 4-9x.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
This is more in line with how it will be extended for more bitdepths.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
This is pretty much similar to the 8 bpp version, but in some senses
simpler. All input pixels are 16 bits, and all intermediates also fit
in 16 bits, so there's no lengthening/narrowing in the filter at all.
For the full 16 pixel wide filter, we can only process 4 pixels at a time
(using an implementation very much similar to the one for 8 bpp),
but we can do 8 pixels at a time for the 4 and 8 pixel wide filters with
a different implementation of the core filter.
Examples of relative speedup compared to the C version, from checkasm:
Cortex A7 A8 A9 A53
vp9_loop_filter_h_4_8_10bpp_neon: 1.83 2.16 1.40 2.09
vp9_loop_filter_h_8_8_10bpp_neon: 1.39 1.67 1.24 1.70
vp9_loop_filter_h_16_8_10bpp_neon: 1.56 1.47 1.10 1.81
vp9_loop_filter_h_16_16_10bpp_neon: 1.94 1.69 1.33 2.24
vp9_loop_filter_mix2_h_44_16_10bpp_neon: 2.01 2.27 1.67 2.39
vp9_loop_filter_mix2_h_48_16_10bpp_neon: 1.84 2.06 1.45 2.19
vp9_loop_filter_mix2_h_84_16_10bpp_neon: 1.89 2.20 1.47 2.29
vp9_loop_filter_mix2_h_88_16_10bpp_neon: 1.69 2.12 1.47 2.08
vp9_loop_filter_mix2_v_44_16_10bpp_neon: 3.16 3.98 2.50 4.05
vp9_loop_filter_mix2_v_48_16_10bpp_neon: 2.84 3.64 2.25 3.77
vp9_loop_filter_mix2_v_84_16_10bpp_neon: 2.65 3.45 2.16 3.54
vp9_loop_filter_mix2_v_88_16_10bpp_neon: 2.55 3.30 2.16 3.55
vp9_loop_filter_v_4_8_10bpp_neon: 2.85 3.97 2.24 3.68
vp9_loop_filter_v_8_8_10bpp_neon: 2.27 3.19 1.96 3.08
vp9_loop_filter_v_16_8_10bpp_neon: 3.42 2.74 2.26 4.40
vp9_loop_filter_v_16_16_10bpp_neon: 2.86 2.44 1.93 3.88
The speedup vs C code measured in checkasm is around 1.1-4x.
These numbers are quite inconclusive though, since the checkasm test
runs multiple filterings on top of each other, so later rounds might
end up with different codepaths (different decisions on which filter
to apply, based on input pixel differences).
Based on START_TIMER/STOP_TIMER wrapping around a few individual
functions, the speedup vs C code is around 2-4x.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
This is structured similarly to the 8 bit version. In the 8 bit
version, the coefficients are 16 bits, and intermediates are 32 bits.
Here, the coefficients are 32 bit. For the 4x4 transforms for 10 bit
content, the intermediates also fit in 32 bits, but for all other
transforms (4x4 for 12 bit content, and 8x8 and larger for both 10
and 12 bit) the intermediates are 64 bit.
For the existing 8 bit case, the 8x8 transform fit all coefficients in
registers; for 10/12 bit, when the coefficients are 32 bit, the 8x8
transform also has to be done in slices of 4 pixels (just as 16x16 and
32x32 for 8 bit).
The slice width also shrinks from 4 elements to 2 elements in parallel
for the 16x16 and 32x32 cases.
The 16 bit coefficients from idct_coeffs and similar tables also need
to be lenghtened to 32 bit in order to be used in multiplication with
vectors with 32 bit elements. This leads to the fixed coefficient
vectors needing more space, leading to more cases where they have to
be reloaded within the transform (in iadst16).
This technically would need testing in checkasm for subpartitions
in increments of 2, but that slows down normal checkasm runs
excessively.
Examples of relative speedup compared to the C version, from checkasm:
Cortex A7 A8 A9 A53
vp9_inv_adst_adst_4x4_sub4_add_10_neon: 4.83 11.36 5.22 6.77
vp9_inv_adst_adst_8x8_sub8_add_10_neon: 4.12 7.60 4.06 4.84
vp9_inv_adst_adst_16x16_sub16_add_10_neon: 3.93 8.16 4.52 5.35
vp9_inv_dct_dct_4x4_sub1_add_10_neon: 1.36 2.57 1.41 1.61
vp9_inv_dct_dct_4x4_sub4_add_10_neon: 4.24 8.66 5.06 5.81
vp9_inv_dct_dct_8x8_sub1_add_10_neon: 2.63 4.18 1.68 2.87
vp9_inv_dct_dct_8x8_sub4_add_10_neon: 4.52 9.47 4.24 5.39
vp9_inv_dct_dct_8x8_sub8_add_10_neon: 3.45 7.34 3.45 4.30
vp9_inv_dct_dct_16x16_sub1_add_10_neon: 3.56 6.21 2.47 4.32
vp9_inv_dct_dct_16x16_sub2_add_10_neon: 5.68 12.73 5.28 7.07
vp9_inv_dct_dct_16x16_sub8_add_10_neon: 4.42 9.28 4.24 5.45
vp9_inv_dct_dct_16x16_sub16_add_10_neon: 3.41 7.29 3.35 4.19
vp9_inv_dct_dct_32x32_sub1_add_10_neon: 4.52 8.35 3.83 6.40
vp9_inv_dct_dct_32x32_sub2_add_10_neon: 5.86 13.19 6.14 7.04
vp9_inv_dct_dct_32x32_sub16_add_10_neon: 4.29 8.11 4.59 5.06
vp9_inv_dct_dct_32x32_sub32_add_10_neon: 3.31 5.70 3.56 3.84
vp9_inv_wht_wht_4x4_sub4_add_10_neon: 1.89 2.80 1.82 1.97
The speedup compared to the C functions is around 1.3 to 7x for the
full transforms, even higher for the smaller subpartitions.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
The plain pixel put/copy functions are used from the 8 bit version,
for the double size (e.g. put16 uses ff_vp9_copy32_neon), and a new
copy128 is added.
Compared with the 8 bit version, the filters can no longer use the
trick to accumulate in 16 bit with only saturation at the end, but now
the accumulators need to be 32 bit. This avoids the need to keep track
of which filter index is the largest though, reducing the size of the
executable code for these filters.
For the horizontal filters, we only do 4 or 8 pixels wide in parallel
(while doing two rows at a time), since we don't have enough register
space to filter 16 pixels wide.
For the vertical filters, we still do 4 and 8 pixels in parallel just
as in the 8 bit case, but we need to store the output after every 2
rows instead of after every 4 rows.
Examples of relative speedup compared to the C version, from checkasm:
Cortex A7 A8 A9 A53
vp9_avg4_10bpp_neon: 2.25 2.44 3.05 2.16
vp9_avg8_10bpp_neon: 3.66 8.48 3.86 3.50
vp9_avg16_10bpp_neon: 3.39 8.26 3.37 2.72
vp9_avg32_10bpp_neon: 4.03 10.20 4.07 3.42
vp9_avg64_10bpp_neon: 4.15 10.01 4.13 3.70
vp9_avg_8tap_smooth_4h_10bpp_neon: 3.38 6.22 3.41 4.75
vp9_avg_8tap_smooth_4hv_10bpp_neon: 3.89 6.39 4.30 5.32
vp9_avg_8tap_smooth_4v_10bpp_neon: 5.32 9.73 6.34 7.31
vp9_avg_8tap_smooth_8h_10bpp_neon: 4.45 9.40 4.68 6.87
vp9_avg_8tap_smooth_8hv_10bpp_neon: 4.64 8.91 5.44 6.47
vp9_avg_8tap_smooth_8v_10bpp_neon: 6.44 13.42 8.68 8.79
vp9_avg_8tap_smooth_64h_10bpp_neon: 4.66 9.02 4.84 7.71
vp9_avg_8tap_smooth_64hv_10bpp_neon: 4.61 9.14 4.92 7.10
vp9_avg_8tap_smooth_64v_10bpp_neon: 6.90 14.13 9.57 10.41
vp9_put4_10bpp_neon: 1.33 1.46 2.09 1.33
vp9_put8_10bpp_neon: 1.57 3.42 1.83 1.84
vp9_put16_10bpp_neon: 1.55 4.78 2.17 1.89
vp9_put32_10bpp_neon: 2.06 5.35 2.14 2.30
vp9_put64_10bpp_neon: 3.00 2.41 1.95 1.66
vp9_put_8tap_smooth_4h_10bpp_neon: 3.19 5.81 3.31 4.63
vp9_put_8tap_smooth_4hv_10bpp_neon: 3.86 6.22 4.32 5.21
vp9_put_8tap_smooth_4v_10bpp_neon: 5.40 9.77 6.08 7.21
vp9_put_8tap_smooth_8h_10bpp_neon: 4.22 8.41 4.46 6.63
vp9_put_8tap_smooth_8hv_10bpp_neon: 4.56 8.51 5.39 6.25
vp9_put_8tap_smooth_8v_10bpp_neon: 6.60 12.43 8.17 8.89
vp9_put_8tap_smooth_64h_10bpp_neon: 4.41 8.59 4.54 7.49
vp9_put_8tap_smooth_64hv_10bpp_neon: 4.43 8.58 5.34 6.63
vp9_put_8tap_smooth_64v_10bpp_neon: 7.26 13.92 9.27 10.92
For the larger 8tap filters, the speedup vs C code is around 4-14x.
Signed-off-by: Martin Storsjö <martin@martin.st>
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This work is sponsored by, and copyright, Google.
This is more in line with how it will be extended for more bitdepths.
Signed-off-by: Martin Storsjö <martin@martin.st>
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Fixes timeout
Fixes: 445/fuzz-3-ffmpeg_VIDEO_AV_CODEC_ID_MJPEG_fuzzer
Fixes: 456/fuzz-2-ffmpeg_VIDEO_AV_CODEC_ID_JPEGLS_fuzzer
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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* commit '38efff92f1ef81f3de20ff0460ec7b70c253d714':
FATE: add a test for H.264 with two fields per packet
h264: fix decoding multiple fields per packet with slice threads
This merge includes two commits because the FATE test was useful in
order to make proper testing.
The merge gets rid of the now unused:
- SLICE_SINGLETHREAD and SLICE_SKIPED macros
- max_contexts
- "again" label in decode_nal_units()
This commit also includes the fix from d3e4d406b.
Thanks to wm4 and Michael Niedermayer for their testing.
Merged-by: Clément Bœsch <u@pkh.me>
Merged-by: Matthieu Bouron <matthieu.bouron@gmail.com>
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This treats the case of no slices like no frames which it basically is.
The field is added to the context as other nal related fields are also there
and passing the has_slices field per *arguments is ugly and not consistent
Found-by: ubitux
Approved-by: ubitux
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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CUVID on GeForce GT 730 and GeForce GTX 1060 does not report any error when
decoding 8K h264 packets. However, it does return an error during
cuvidCreateDecoder call if the indicated video resolution is not
supported.
Given that stream resolution is typically known as a result of probing
it is better to use this information during avcodec_open2 call to fail
immediately, rather than proceeding to decode and never receiving any
frames from the decoder nor receiving any indication of decode failure.
Signed-off-by: Timo Rothenpieler <timo@rothenpieler.org>
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Fixes out of array access
Fixes: 444/fuzz-2-ffmpeg_VIDEO_AV_CODEC_ID_PNG_fuzzer
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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This makes the code 7 times faster with the testcase from libfuzzer
and should reduce the amount of timeouts we hit in automated fuzzing.
(for example 438/fuzz-2-ffmpeg_VIDEO_AV_CODEC_ID_RV40_fuzzer)
The code is also faster with more realistic input though the difference
is small here as that is far from the worst cases the fuzzers pick out
Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/targets/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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use av_lfg_init_from_data() to seed AC-3 dithering from the AC-3 frame
data to make it consistent given the same AC-3 frame, if option is set.
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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From 2aa8e33d7d86fbc4a4060c363a5733067c160654.
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Signed-off-by: Paul B Mahol <onemda@gmail.com>
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
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Fixes regression in fate-h264-attachment-631 with THREADS=8 introduced
by bdbbb8f11edbf10add874508c5125c174d8939be.
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Signed-off-by: Paul B Mahol <onemda@gmail.com>
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Signed-off-by: Paul B Mahol <onemda@gmail.com>
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Signed-off-by: Paul B Mahol <onemda@gmail.com>
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