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610 Commits

Author SHA1 Message Date
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