MrBesen/ffmpeg
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668 Commits

Author SHA1 Message Date
Michael Niedermayer
d0a937caec tools/target_dec_fuzzer: Adjust VP4 threshold 
Fixes: Timeout (>10sec -> <100ms)
Fixes: 31515/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VP4_fuzzer-5247114134290432

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-03-26 16:00:14 +01:00
Wenlong Ding
b460595dd7 lavfi/dnn/dnn_backend_native_layer_mathunary: add exp support 
Signed-off-by: Wenlong Ding <wenlong.ding@intel.com>
 2021-03-24 13:53:50 +08:00
James Almer
36d4e4c9b5 tools/target_bsf_fuzzer: use av_packet_alloc() to allocate packets 
Signed-off-by: James Almer <jamrial@gmail.com>
 2021-03-17 15:19:37 -03:00
James Almer
64f092eb5e tools/target_dem_fuzzer: use av_packet_alloc() to allocate packets 
Signed-off-by: James Almer <jamrial@gmail.com>
 2021-03-17 15:19:37 -03:00
James Almer
08dbcaa57a tools/target_dec_fuzzer: use av_packet_alloc() to allocate packets 
Signed-off-by: James Almer <jamrial@gmail.com>
 2021-03-17 15:19:37 -03:00
James Almer
32582a4e2a tools/pktdumper: use av_packet_alloc() to allocate packets 
Signed-off-by: James Almer <jamrial@gmail.com>
 2021-03-17 15:19:36 -03:00
Michael Niedermayer
12aca5d7b0 tools/target_dec_fuzzer: Adjust flv1 threshold 
Fixes: Timeout (long -> 95ms)
Fixes: 29068/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_FLV_fuzzer-6509662832820224

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-03-08 22:08:49 +01:00
Stefano Sabatini
0f6bf94eb7 avutil/{avstring,bprint}: add XML escaping from ffprobe to avutil 
Base escaping only escapes values required for base character data
according to part 2.4 of XML, and if additional flags are added
single and double quotes can additionally be escaped in order
to handle single and double quoted attributes.

Co-authored-by: Jan Ekström <jan.ekstrom@24i.com>
Signed-off-by: Jan Ekström <jan.ekstrom@24i.com>
 2021-03-05 19:45:00 +02:00
Michael Niedermayer
d0b6b1f941 tools/target_dec_fuzzer: Adjust threshold for wavpack 
Fixes: Timeout (long -> 4sec)
Fixes: 29064/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_WAVPACK_fuzzer-5104450901508096

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
1fc21b1bc5 tools/target_dec_fuzzer: Adjust threshold for MSA1 
Fixes: Timeout (too long to wait -> 1ms)
Fixes: 29048/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MSA1_fuzzer-5733703473037312

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
fa7b7fdfa2 tools/target_dec_fuzzer: adjust threshold for cook 
Fixes: Timeout (long -> 3ms)
Fixes: 29134/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_COOK_fuzzer-5192822695264256

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
e6d8ec977e tools/target_dec_fuzzer: Adjust threshold for theora 
Fixes: Timeout
Fixes: 29226/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_THEORA_fuzzer-6195092572471296

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
be0c72b7c2 tools/target_dec_fuzzer: Update maxpixels_per_frame for low thresholds 
Fixes: Timeout
Fixes: 29990/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MSS2_fuzzer-5469155073589248

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
887bd6b02f tools/target_dec_fuzzer: count all video decoding failures in the new API 
The next commit depends on this

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-16 19:02:24 +01:00
Michael Niedermayer
ee1c5b4256 tools/target_dec_fuzzer: Adjust threshold for VMNC 
Fixes: Timeout
Fixes: 30055/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VMNC_fuzzer-4739482576355328

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-14 19:55:02 +01:00
Michael Niedermayer
796d07bb5a tools/target_dec_fuzzer: Adjust the threshold of vc1image 
Fixes: Timeout
Fixes: 30025/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VC1IMAGE_fuzzer-5965511357759488

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-14 19:55:02 +01:00
Michael Niedermayer
996ef512fe tools/target_dec_fuzzer: Adjust threshold for interplayacm 
Fixes: Timeout (long -> 1sec)
Fixes: 27439/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_INTERPLAY_ACM_fuzzer-5145715814432768

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-02-04 23:34:29 +01:00
Anton Khirnov
da99b4c878 tools/target_dec_fuzzer: use non-obsolete decoding API 2021-01-26 17:04:45 +01:00
Michael Niedermayer
58c7d4a3e3 tools/target_dem_fuzzer.c: Decrease maxblocks 
Fixes: Timeout
Fixes: 28606/clusterfuzz-testcase-minimized-ffmpeg_dem_FRM_fuzzer-5123311424110592
Fixes: 28796/clusterfuzz-testcase-minimized-ffmpeg_dem_R3D_fuzzer-5945803411685376
Fixes: 28821/clusterfuzz-testcase-minimized-ffmpeg_dem_BRSTM_fuzzer-6044239834251264
Fixes: 28841/clusterfuzz-testcase-minimized-ffmpeg_dem_SIFF_fuzzer-5485368388485120
Fixes: 28862/clusterfuzz-testcase-minimized-ffmpeg_dem_AST_fuzzer-5081306790756352

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2021-01-05 02:00:05 +01:00
Michael Niedermayer
0d4e8e4c97 tools/target_dec_fuzzer: Adjust maxpixels for G2M 
Fixes: Timeout (50sec -> 3sec)
Fixes: 27383/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_G2M_fuzzer-5196953666977792

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-12-24 15:25:00 +01:00
Michael Niedermayer
f58d0d5bec tools/target_dem_fuzzer: remove unused label 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-12-19 20:07:56 +01:00
James Almer
c055a476b2 tools/target_bsf_fuzzer: set bitstream filter options 
Should increase coverage with some bitstream filters

Signed-off-by: James Almer <jamrial@gmail.com>
 2020-11-20 19:20:33 -03:00
James Almer
837eb320b8 tools/target_bsf_fuzzer: Call av_bsf_flush() in a fuzzer choosen pattern 
This should increase coverage.

Based on a commit by Michael Niedermayer

Signed-off-by: James Almer <jamrial@gmail.com>
 2020-11-20 12:43:51 -03:00
Michael Niedermayer
cb59cd3466 tools/target_dec_fuzzer: Call avcodec_flush_buffers() in a fuzzer choosen pattern 
This should increase coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: James Almer <jamrial@gmail.com>
 2020-11-20 12:43:51 -03:00
James Almer
40dfb4328d tools/target_dem_fuzzer: use avio_context_free() to free the fuzzer's AVIOContext 
The doxy for avio_alloc_context() states it must be used for this.

Signed-off-by: James Almer <jamrial@gmail.com>
 2020-11-20 12:43:51 -03:00
Anton Khirnov
65c4d5d72e tools/enum_options: fix build and add to Makefile 2020-11-20 15:20:24 +01:00
Michael Niedermayer
8fbcc546b8 tools/target_dem_fuzzer: Consider it an EIO when reading position wraps around 64bit 
Fixes: signed integer overflow: 9223372036854775807 + 564 cannot be represented in type 'long'
Fixes: 26494/clusterfuzz-testcase-minimized-ffmpeg_dem_VOC_fuzzer-576754158849228
Fixes: 26549/clusterfuzz-testcase-minimized-ffmpeg_dem_AVS_fuzzer-4844306424397824
FIxes: 26875/clusterfuzz-testcase-minimized-ffmpeg_dem_C93_fuzzer-5996226782429184

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-11-07 20:50:33 +01:00
Michael Niedermayer
0d395767ec tools/target_dec_fuzzer: adjust threshold for wmalossless 
Fixes: Timeout (>30sec -> 0.5sec)
Fixes: 26351/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_WMALOSSLESS_fuzzer-5191487740182528

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-25 09:49:56 +01:00
Michael Niedermayer
6e64d89410 tools/target_dem_fuzzer: Limit max blocks 
With a IO block size of 1 byte potentially megabytes are quite slow to read, thus
limit the number

Fixes: 26511/clusterfuzz-testcase-minimized-ffmpeg_dem_NUV_fuzzer-5679249073373184
Fixes: 26517/clusterfuzz-testcase-minimized-ffmpeg_dem_XMV_fuzzer-6316634501021696
Fixes: 26518/clusterfuzz-testcase-minimized-ffmpeg_dem_WSVQA_fuzzer-485568285324083
Fixes: 26525/clusterfuzz-testcase-minimized-ffmpeg_dem_MSNWC_TCP_fuzzer-5121987011411968
Fixes: 26538/clusterfuzz-testcase-minimized-ffmpeg_dem_DHAV_fuzzer-5441800598454272
Fixes: OOM
Fixes: Timeout

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-24 22:38:55 +02:00
Michael Niedermayer
c5b8f2321c tools/target_dec_fuzzer: Adjust threshold for opus 
Fixes: Timeout (12sec -> 3sec)
Fixes: 24549/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_LIBOPUS_fuzzer-6211170349088768

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-23 10:07:57 +02:00
James Almer
3e4214109a tools/target_dec_fuzzer: remove calls to avcodec_register*() 
They are no longer needed.

Signed-off-by: James Almer <jamrial@gmail.com>
 2020-10-19 12:07:49 -03:00
James Almer
a8a1a58af3 tools/target_dem_fuzzer: switch to the iterate API 
Signed-off-by: James Almer <jamrial@gmail.com>
 2020-10-19 11:54:46 -03:00
Michael Niedermayer
c0c6b68ddb tools/target_dec_fuzzer: assume that discarded audio packets produced max samples 
We do not know how many samples these produce as its not exported.
Alternatively we could export that but as long as its not we better
assume its more than 0 as otherwise the thresholds would not work

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-18 21:27:23 +02:00
Michael Niedermayer
c062dd74d7 tools/target_dec_fuzzer: Correct maxsamples_per_frame if maxsamples has been changed 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-18 21:27:23 +02:00
Michael Niedermayer
af701196ec tools/target_dem_fuzzer: Set format independent of c 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-16 14:56:24 +02:00
Michael Niedermayer
d40679d89c Add support for building fuzzer tools for an individual demuxer 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-10-12 21:01:48 +02:00
Mingyu Yin
ad2546e3b3 dnn/native: add native support for dense 
Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
 2020-09-29 14:19:55 +08:00
Michael Niedermayer
5dae33bb39 tools/target_dec_fuzzer: Adjust VQA threshold 
Fixes: Timeout (169sec -> 9sec)
Fixes: 23745/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VQA_fuzzer-5638172179693568

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-09-19 00:40:56 +02:00
Michael Niedermayer
e3af2a0756 tools:target_dem_fuzzer: Split into a fuzzer fuzzing at the protocol level and one fuzzing a fixed demuxer input 
This should improve coverage and should improve the efficiency of seed files

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-09-13 10:40:02 +02:00
Michael Niedermayer
a12864938d tools/target_dec_fuzzer: Adjust threshold for WMV3IMAGE 
Fixes: Timeout (1131sec -> 1sec)
Fixes: 24727/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_WMV3IMAGE_fuzzer-5754167793287168

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-09-07 23:05:25 +02:00
Mingyu Yin
3477feb643 dnn_backend_native_layer_mathbinary: add floormod support 
Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
 2020-08-24 09:09:11 +08:00
Michael Niedermayer
d08c3f56ec tools/target_dec_fuzzer: Adjust threshold for DST 
Fixes: Timeout (too long -> 3sec)
Fixes: 24239/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DST_fuzzer-5189061015502848

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: Peter Ross <pross@xvid.org>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-08-18 14:56:04 +02:00
Mingyu Yin
4ed6bca4ae dnn_backend_native_layer_mathunary: add round support 
Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
 2020-08-12 10:30:46 +08:00
Michael Niedermayer
4b7189848f tools/target_dec_fuzzer: Adjust threshold for AGM 
Fixes: Timeout (142sec -> 2sec)
Fixes: 24426/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_AGM_fuzzer-5639724379930624

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-08-11 14:21:56 +02:00
Ting Fu
91efc41a69 dnn/native: add native support for avg_pool 
Not support pooling strides in channel dimension yet.

Signed-off-by: Ting Fu <ting.fu@intel.com>
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
 2020-08-10 16:37:39 +08:00
Mingyu Yin
fab00b0ae0 dnn_backend_native_layer_mathunary: add floor support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import os
import numpy as np
import imageio
from tensorflow.python.framework import graph_util
name = 'floor'

pb_file_path = os.getcwd()
if not os.path.exists(pb_file_path+'/{}_savemodel/'.format(name)):
    os.mkdir(pb_file_path+'/{}_savemodel/'.format(name))

with tf.Session(graph=tf.Graph()) as sess:
    in_img = imageio.imread('detection.jpg')
    in_img = in_img.astype(np.float32)
    in_data = in_img[np.newaxis, :]
    input_x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
    y_ = tf.math.floor(input_x*255)/255
    y = tf.identity(y_, name='dnn_out')
    sess.run(tf.global_variables_initializer())
    constant_graph = graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])

    with tf.gfile.FastGFile(pb_file_path+'/{}_savemodel/model.pb'.format(name), mode='wb') as f:
        f.write(constant_graph.SerializeToString())

    print("model.pb generated, please in ffmpeg path use\n \n \
    python tools/python/convert.py {}_savemodel/model.pb --outdir={}_savemodel/ \n \nto generate model.model\n".format(name,name))

    output = sess.run(y, feed_dict={ input_x: in_data})
    imageio.imsave("out.jpg", np.squeeze(output))

    print("To verify, please ffmpeg path use\n \n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow -f framemd5 {}_savemodel/tensorflow_out.md5\n  \
    or\n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow {}_savemodel/out_tensorflow.jpg\n \nto generate output result of tensorflow model\n".format(name, name, name, name))

    print("To verify, please ffmpeg path use\n \n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native -f framemd5 {}_savemodel/native_out.md5\n  \
    or \n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model={}_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native {}_savemodel/out_native.jpg\n \nto generate output result of native model\n".format(name, name, name, name))

Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
 2020-08-07 10:34:22 +08:00
Mingyu Yin
9fbdd5454b dnn_backend_native_layer_mathunary: add ceil support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import os
import numpy as np
import imageio
from tensorflow.python.framework import graph_util
name = 'ceil'

pb_file_path = os.getcwd()
if not os.path.exists(pb_file_path+'/{}_savemodel/'.format(name)):
    os.mkdir(pb_file_path+'/{}_savemodel/'.format(name))

with tf.Session(graph=tf.Graph()) as sess:
    in_img = imageio.imread('detection.jpg')
    in_img = in_img.astype(np.float32)
    in_data = in_img[np.newaxis, :]
    input_x = tf.placeholder(tf.float32, shape=[1, None, None, 3], name='dnn_in')
    y = tf.math.ceil( input_x, name='dnn_out')
    sess.run(tf.global_variables_initializer())
    constant_graph = graph_util.convert_variables_to_constants(sess, sess.graph_def, ['dnn_out'])

    with tf.gfile.FastGFile(pb_file_path+'/{}_savemodel/model.pb'.format(name), mode='wb') as f:
        f.write(constant_graph.SerializeToString())

    print("model.pb generated, please in ffmpeg path use\n \n \
    python tools/python/convert.py ceil_savemodel/model.pb --outdir=ceil_savemodel/ \n \n \
    to generate model.model\n")

    output = sess.run(y, feed_dict={ input_x: in_data})
    imageio.imsave("out.jpg", np.squeeze(output))

    print("To verify, please ffmpeg path use\n \n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model=ceil_savemodel/model.pb:input=dnn_in:output=dnn_out:dnn_backend=tensorflow -f framemd5 ceil_savemodel/tensorflow_out.md5\n \n \
    to generate output result of tensorflow model\n")

    print("To verify, please ffmpeg path use\n \n \
    ./ffmpeg -i detection.jpg -vf format=rgb24,dnn_processing=model=ceil_savemodel/model.model:input=dnn_in:output=dnn_out:dnn_backend=native -f framemd5 ceil_savemodel/native_out.md5\n \n \
    to generate output result of native model\n")

Signed-off-by: Mingyu Yin <mingyu.yin@intel.com>
Reviewed-by: Guo, Yejun <yejun.guo@intel.com>
 2020-08-04 19:56:54 +08:00
Ting Fu
c0cdeea0ee dnn_backend_native_layer_mathunary: add atanh support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')

please uncomment the part you want to test

x_sinh_1 = tf.sinh(x)
x_out = tf.divide(x_sinh_1, 1.176) # sinh(1.0)

x_cosh_1 = tf.cosh(x)
x_out = tf.divide(x_cosh_1, 1.55) # cosh(1.0)

x_tanh_1 = tf.tanh(x)
x__out = tf.divide(x_tanh_1, 0.77) # tanh(1.0)

x_asinh_1 = tf.asinh(x)
x_out = tf.divide(x_asinh_1, 0.89) # asinh(1.0/1.1)

x_acosh_1 = tf.add(x, 1.1)
x_acosh_2 = tf.acosh(x_acosh_1) # accept (1, inf)
x_out = tf.divide(x_acosh_2, 1.4) # acosh(2.1)

x_atanh_1 = tf.divide(x, 1.1)
x_atanh_2 = tf.atanh(x_atanh_1) # accept (-1, 1)
x_out = tf.divide(x_atanh_2, 1.55) # atanhh(1.0/1.1)

y = tf.identity(x_out, name='dnn_out') #please only preserve the x_out you want to test

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: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
cd2e3a864d dnn_backend_native_layer_mathunary: add acosh support 
Signed-off-by: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
9d14b38d9d dnn_backend_native_layer_mathunary: add asinh support 
Signed-off-by: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
ea71e731f4 dnn_backend_native_layer_mathunary: add tanh support 
Signed-off-by: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
62fc7e3035 dnn_backend_native_layer_mathunary: add cosh support 
Signed-off-by: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
91b4037101 dnn_backend_native_layer_mathunary: add sinh support 
Signed-off-by: Ting Fu <ting.fu@intel.com>
 2020-07-06 12:45:14 +08:00
Ting Fu
13f5613e68 dnn_backend_native_layer_mathunary: add atan support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.atan(x)
x2 = tf.divide(x1, 3.1416/4) # pi/4
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-25 08:41:50 +08:00
Ting Fu
461485feac dnn_backend_native_layer_mathunary: add acos support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.acos(x)
x2 = tf.divide(x1, 3.1416/2) # pi/2
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-25 08:41:50 +08:00
Ting Fu
486c0c419d dnn_backend_native_layer_mathunary: add asin support 
It can be tested with the model generated with below python script:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.asin(x)
x2 = tf.divide(x1, 3.1416/2) # pi/2
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-25 08:41:50 +08:00
Michael Niedermayer
0b182ff66d tools/target_dec_fuzzer: Adjust threshold for lagarith 
Fixes: Timeout (3minute 49 sec -> 3sec)
Fixes: 22020/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_LAGARITH_fuzzer-5708544679870464

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-06-11 14:59:04 +02:00
Michael Niedermayer
d3747f4431 tools/target_dem_fuzzer: Use file extensions listed in input formats 
This should make it easier for the fuzzer to fuzz formats being detected only by
file extension and thus increase coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-06-11 13:49:54 +02:00
Ting Fu
22d0860c13 dnn_backend_native_layer_mathunary: add tan support 
It can be tested with the model generated with below python scripy

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.multiply(x, 0.78)
x2 = tf.tan(x1)
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-11 11:10:51 +08:00
Ting Fu
88fb494f42 dnn_backend_native_layer_mathunary: add cos support 
It can be tested with the model generated with below python scripy

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.multiply(x, 1.5)
x2 = tf.cos(x1)
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-11 11:10:51 +08:00
Ting Fu
0b6d3f0d83 dnn_backend_native_layer_mathunary: add sin support 
It can be tested with the model file generated with below python scripy:

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.multiply(x, 3.14)
x2 = tf.sin(x1)
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo Yejun <yejun.guo@intel.com>
 2020-06-11 11:10:51 +08:00
Michael Niedermayer
3371d0611f tools/target_dec_fuzzer: enable mjpeg for tiff or tdsc 
This is needed for fuzzing tiff/tdsc and should increase coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-06-08 20:45:56 +02:00
Michael Niedermayer
3e651eeac4 tools/target_dem_fuzzer: Implement AVSEEK_SIZE 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-06-08 12:27:18 +02:00
Ting Fu
f73cc61bf5 dnn_backend_native_layer_mathunary: add abs support 
more math unary operations will be added here

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

import tensorflow as tf
import numpy as np
import imageio

in_img = imageio.imread('input.jpeg')
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')
x1 = tf.subtract(x, 0.5)
x2 = tf.abs(x1)
y = tf.identity(x2, 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: Ting Fu <ting.fu@intel.com>
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
 2020-05-28 11:04:21 +08:00
Michael Niedermayer
6d4fdb4f5a tools/target_dec_fuzzer: Adjust max_pixels for AV_CODEC_ID_HAP 
Fixes: Timeout (170sec -> 6sec)
Fixes: 20956/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_HAP_fuzzer-5713643025203200

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-05-27 23:52:46 +02:00
Michael Niedermayer
d6824ef905 tools/target_dec_fuzzer: Reduce maxpixels for HEVC 
high resolutions with only small blocks appear to be rather
slow with the fuzzer + sanitizers.
A solution which makes this run faster is welcome.

Fixes: Timeout (did not wait -> 17sec)
Fixes: 21006/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_HEVC_fuzzer-6002552539971584

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-05-27 23:52:46 +02:00
Michael Niedermayer
05d364dccc tools/target_dec_fuzzer: Do not test AV_CODEC_FLAG2_FAST with AV_CODEC_ID_H264 
This combination skips allocating large padding which can read out of array

Fixes: 20978/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_H264_fuzzer-5746381832847360

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-05-27 23:52:46 +02:00
Anton Khirnov
ea980d4162 fate: add tests for h264 and vp9 video enc parameters export 2020-05-25 11:59:45 +02:00
Anton Khirnov
bf80725352 lavc: rename bsf.h to bsf_internal.h 
This will allow adding a public header named bsf.h
 2020-05-22 14:38:57 +02:00
Michael Niedermayer
4f54982773 tools/target_dec_fuzzer: Adjust threshold for PNG and APNG 
Fixes: Timeout (84sec -> 2sec)
Fixes: 21127/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_APNG_fuzzer-5098412367413248

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-05-10 01:09:13 +02:00
Guo, Yejun
71e28c5422 dnn/native: add native support for minimum 
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')
x1 = tf.minimum(0.7, x)
x2 = tf.maximum(x1, 0.4)
y = tf.identity(x2, 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>
 2020-05-08 15:22:27 +08:00
Josh de Kock
d817b57d36 tools: fix const specifier for AVInputFormat 
Signed-off-by: Josh de Kock <josh@itanimul.li>
 2020-04-30 10:25:32 +01:00
Guo, Yejun
8ce9d88f93 dnn/native: add native support for divide 
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>
 2020-04-22 13:15:00 +08:00
Guo, Yejun
ef79408e97 dnn/native: add native support for 'mul' 
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>
 2020-04-22 13:14:47 +08:00
Guo, Yejun
6aa7e07e7c dnn/native: add native support for 'add' 
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>
 2020-04-22 13:14:30 +08:00
Josh de Kock
39962072a8 tools: stop using deprecated av_codec_next() 
Signed-off-by: Josh de Kock <josh@itanimul.li>
 2020-04-20 15:08:20 +00:00
Michael Niedermayer
2db37bf4cd tools/target_dec_fuzzer: Adjust threshold for zerocodec 
Fixes: Timeout (147sec -> 1sec)
Fixes: 20764/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_ZEROCODEC_fuzzer-5068274603917312

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-04-12 16:36:47 +02:00
Michael Niedermayer
8dee1d7a30 tools/target_dec_fuzzer: Adjust threshold for screenpresso 
Fixes: Timeout (332 -> 21 sec)
Fixes: 20280/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_SCREENPRESSO_fuzzer-6238663432470528

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-04-07 18:27:40 +02:00
Guo, Yejun
ffa1561608 dnn_backend_native_layer_mathbinary: add sub support 
more math binary operations will be added here

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
 2020-04-07 11:04:34 +08:00
Michael Niedermayer
32522b5307 tools/target_dec_fuzzer: limit per frame samples for APE 
APE in its highest compression mode is really slow so even one frame
of millions of samples takes a long time

Fixes: Timeout (too long -> 3sec)
Fixes: 19937/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_APE_fuzzer-5751668818051072

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-30 19:59:10 +01:00
Michael Niedermayer
48b6947821 tools/target_dec_fuzzer: Add threshold for ALS 
Fixes: Timeout (253sec -> 16sec)
Fixes: 18668/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_ALS_fuzzer-6227155369590784

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-30 19:40:26 +01:00
Michael Niedermayer
04e524c34b tools/target_dec_fuzzer: Add threshold for IFF_ILBM 
Fixes: Timeout (32 -> 1sec)
Fixes: 20138/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_IFF_ILBM_fuzzer-5634665251864576

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: Peter Ross <pross@xvid.org>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-29 13:06:26 +01:00
Michael Niedermayer
cc7bf7e05c tools/target_dec_fuzzer: Sort threshold list alphabetically 
This also removes the comments as they are hard to maintain
together with sorted lists

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-29 13:06:26 +01:00
Michael Niedermayer
5f7727e1c9 tools/target_dec_fuzzer: Use codec_tags list 
This should make it much quicker for the fuzzer to test
real relevant codec_tags

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-22 21:50:49 +01:00
Michael Niedermayer
00447b6f52 tools/target_dec_fuzzer: Also Fuzz with CPU optimizations disabled 
This should improve coverage of *_c()

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-21 21:38:38 +01:00
Michael Niedermayer
4b733a7f5f tools/target_dec_fuzzer: Fuzz private options of AC3/E-AC3 
This should improve AC-3 coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-21 21:38:38 +01:00
Michael Niedermayer
48083f1890 tools/target_dec_fuzzer: Fuzz idct_algo value 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-21 21:38:38 +01:00
Michael Niedermayer
029cc9883f tools/target_dec_fuzzer: Adjust threshold for RASC 
Fixes: Timeout(35sec -> 4sec)
Fixes: 19289/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_RASC_fuzzer-5676526398078976

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2020-01-11 23:31:18 +01:00
Michael Niedermayer
c1411a1132 tools/target_dec_fuzzer: Stop negative block_align and sampling rate 
These are checked for early in avcodec_open2() and do not really test the decoder
but instead waste resources which could be better spend fuzzing the actual decoder

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-12-31 12:37:47 +01:00
Michael Niedermayer
5a8877da35 tools/target_dec_fuzzer: Adjust threshold for dst 
Fixes: Timeout (400sec -> 14sec)
Fixes: 18989/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DST_fuzzer-5175008116867072

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-12-15 01:01:22 +01:00
Guo, Yejun
e52070e89c convert_from_tensorflow.py: add support when kernel size is 1*1 with one input/output channel (gray image) 
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-12-13 11:41:10 -03:00
Michael Niedermayer
e3dddf2142 tools/target_dec_fuzzer: Also fuzz request_channel_layout 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-12-08 13:08:23 +01:00
James Almer
964eb754b4 tools: add a fuzzer tool for bitstream filters 
Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: James Almer <jamrial@gmail.com>
 2019-12-05 20:49:15 -03:00
Michael Niedermayer
5ac8675cb1 tools/target_dec_fuzzer: Support setting AV_CODEC_FLAG2_FAST 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-12-03 16:06:33 +01:00
Michael Niedermayer
3ae87bb3c1 tools/target_dec_fuzzer: Support fuzzing error detection 
This should increase coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-12-03 16:06:20 +01:00
Michael Niedermayer
e21ec54fdf tools/target_dec_fuzzer: Adjust threshold for VP9 
The threshold is chosen so that the worse frames would together not take
excessive time.
A better solution is welcome!

Fixes: Timeout (308sec ->102ms)
Fixes: 18314/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VP9_fuzzer-5701689176227840

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-11-24 22:56:32 +01:00
Michael Niedermayer
de1d3b0925 tools/target_dec_fuzzer: Adjust threshold for smacker 
Fixes: Timeout (65sec -> 0.5sec)
Fixes: 18072/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_SMACKER_fuzzer-5722709366931456

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-11-09 15:23:06 +01:00
Zhong Li
8ff432eb44 tools/enum_options: replace the deprecated API 
Signed-off-by: Zhong Li <zhongli_dev@126.com>
 2019-11-04 23:27:50 +08:00
Zhong Li
f52e15df0f tools/probetest: replace the deprecated API 
Signed-off-by: Zhong Li <zhongli_dev@126.com>
 2019-11-04 23:27:35 +08:00
Michael Niedermayer
fd3ee7a92e tools/target_dec_fuzzer: Adjust threshold for G2M 
G2M allows large images from small input and also reallocates
multiple buffers on any resolution change.

Fixes: Timeout (22sec -> 5sec)
Fixes: 18022/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_G2M_fuzzer-5089192530411520

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-11-01 20:15:33 +01:00