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Author SHA1 Message Date
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
Guo, Yejun dff39ea9f0 dnn: add tf.nn.conv2d support for native model 
Unlike other tf.*.conv2d layers, tf.nn.conv2d does not create many
nodes (within a scope) in the graph, it just acts like other layers.
tf.nn.conv2d only creates one node in the graph, and no internal
nodes such as 'kernel' are created.

The format of native model file is also changed, a flag named
has_bias is added, so change the version number.

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-10-30 10:31:55 -03:00
Michael Niedermayer 8caa716667 tools/target_dec_fuzzer: Adjust threshold for CFHD 
Fixes: Timeout (18sec -> 5sec)
Fixes: 17977/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_CFHD_fuzzer-5186112762413056

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-25 00:22:33 +02:00
Michael Niedermayer 000494fed9 tools/target_dec_fuzzer: Adjust ffwavesynth threshold 
ffwavesynth can produce large amounts of data relatively slowly on very small input

Fixes: Timeout (60sec -> 9sec)
Fixes: 17970/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_FFWAVESYNTH_fuzzer-5689121279836160

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-25 00:22:33 +02:00
Michael Niedermayer fe63ace98e tools/target_dec_fuzzer: Adjust threshold for DXV 
Fixes: TImeout (20sec -> 4sec)
Fixes: 17735/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DXV_fuzzer-5723368317255680

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-20 19:57:51 +02:00
Michael Niedermayer 1d3f7e6a72 tools/target_dec_fuzzer: Adjust threshold for EATGV 
Fixes: Timeout (26sec -> 9sec)
Fixes: 17645/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_EATGV_fuzzer-5717065922510848

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-16 19:17:57 +02:00
Michael Niedermayer 9e32c47102 tools/target_dec_fuzzer: Adjust threshold for SCPR 
Fixes: Timeout (46sec -> 7sec)
Fixes: 17644/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_SCPR_fuzzer-5715704283660288

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-16 19:17:57 +02:00
Michael Niedermayer cf7f35ace5 tools/target_dec_fuzzer: Adjust threshold for MSZH 
Fixes: Timeout (250sec -> 6sec)
Fixes: 17627/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MSZH_fuzzer-5643017129558016

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-16 19:17:57 +02:00
Michael Niedermayer ec9d48da19 tools/target_dec_fuzzer: Also fuzz keyframe & disposal flags 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-15 17:09:22 +02:00
Michael Niedermayer cc50d113c8 tools/target_dec_fuzzer: Also fuzz codec_tag 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-14 21:16:00 +02:00
Michael Niedermayer 2d3ccfa863 tools/target_dec_fuzzer: Also fuzz FF_COMPLIANCE_EXPERIMENTAL 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-14 21:16:00 +02:00
Michael Niedermayer 0c07eb5205 tools/target_dec_fuzzer: Also fuzz block_align 
This should improve coverage

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-10-14 21:16:00 +02:00
Michael Niedermayer 47b0d0812e tools/target_dec_fuzzer: Adjust VP7 threshold 
Fixes: Timeout (110sec -> 10sec)
Fixes: 17705/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_VP7_fuzzer-5765834135306240

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>
 2019-09-29 22:18:58 +02:00
Michael Niedermayer ec4ad6fb9e tools/target_dec_fuzzer: Print samples decoded like pixels 
Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-26 21:02:34 +02:00
Michael Niedermayer db614008bc tools/target_dec_fuzzer: Check number of all samples decoded too, like max pixels 
Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-26 21:02:34 +02:00
Michael Niedermayer 68c80dc312 tools/target_dec_fuzzer: Set max_samples 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-25 17:18:37 +02:00
Michael Niedermayer 59163731e9 tools/target_dec_fuzzer: consider potential padding/edge in pixel threshold 
Fixes: Timeout (73sec ->30ms)
Fixes: 16921/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DIRAC_fuzzer-5689384594046976

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-24 17:53:39 +02:00
Michael Niedermayer 5fe6a9db15 tools/target_dec_fuzzer: Adjust threshold for MSS2 
The decoder is slow

Fixes: Timeout (94sec -> 7sec)
Fixes: 16417/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MSS2_fuzzer-5711668050395136

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-24 17:53:39 +02:00
James Zern ba24b24aab tools/patcheck: remove gcc-2.95 compat check 
this conflicts with the current contributing guidance:
http://ffmpeg.org/developer.html#Contributing
FFmpeg is programmed in the ISO C90 language with a few additional
features from ISO C99, namely:
...
for loops with variable definition (‘for (int i = 0; i < 8; i++)’);

Signed-off-by: James Zern <jzern@google.com>
 2019-09-21 12:57:04 -07:00
Michael Niedermayer 87a7fc692d tools/target_dec_fuzzer: fuzz channels and sample_rate too 
This should increase coverage over more audio decoders.

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-20 23:26:34 +02:00
Guo, Yejun b2683c66b2 libavfilter/dnn: add layer maximum for native mode. 
The reason to add this layer is that it is used by srcnn in vf_sr.
This layer is currently ignored in native mode. After this patch,
we can add multiple outputs support for native mode.

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-09-20 10:57:18 -03:00
Michael Niedermayer 65589ad553 tools/target_dec_fuzzer: Adjust threshold for binkvideo 
Fixes: Timeout (89sec -> 7sec)
Fixes: 17035/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_BINK_fuzzer-5737222422134784

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>
 2019-09-17 14:45:08 +02:00
Michael Niedermayer 305f6dbb06 tools/target_dec_fuzzer: increase snows threshold 
snow allows creating large output from tiny input, like other
wavelet codecs

Fixes: Timeout (82sec -> 1.5sec)
Fixes: 9520/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_SNOW_fuzzer-6286612576075776

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-16 00:53:18 +02:00
Michael Niedermayer 9fd62b84d5 tools/target_dec_fuzzer: Adjust motionpixels threshold 
Fixes: Timeout (151sec -> 173ms)
Fixes: 16053/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MOTIONPIXELS_fuzzer-5647069169057792
Fixes: 16053/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MOTIONPIXELS_fuzzer-5108957126852608

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-16 00:04:18 +02:00
Michael Niedermayer 9d1e98afee tools/target_dec_fuzzer: Adjust threshold for LSCR 
Fixes: Timeout (12sec -> 3sec)
Fixes: 15327/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_LSCR_fuzzer-5702887719567360

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-09-09 23:04:53 +02:00
Guo, Yejun 022f50d3fe libavfilter/dnn: add header into native model file 
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-09-04 11:13:21 -03:00
Michael Niedermayer 5a3dee65d4 tools/target_dec_fuzzer: adjust pixel threshold for TRUEMOTION2, as it allows coding gigantic images on tiny input 
Fixes: Timeout (137sec -> 6sec)
Fixes: 16090/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_TRUEMOTION2_fuzzer-5674245178261504

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-31 18:34:05 +02:00
Michael Niedermayer a370582ba9 tools/target_dec_fuzzer: Init parsepkt 
Fixes: memory corruption
Fixes: 16702/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_PNG_fuzzer-5768418552184832

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: James Almer <jamrial@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-31 17:33:56 +02:00
Guo, Yejun 83e0b71f66 dnn: export operand info in python script and load in c code 
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-08-30 11:41:30 -03:00
Guo, Yejun 2d5e39c13e dnn: change .model file format to put layer number at the end of file 
currently, the layer number is at the beginning of the .model file,
so we have to scan twice in python script, the first scan to get the
layer number. Only one scan needed after put the layer number at the
end of .model file.

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-08-30 11:41:30 -03:00
Michael Niedermayer ba823394f6 tools/target_dec_fuzzer: Adjust maxpixels for indeo4 
Fixes: Timeout (131sec -> 4sec)
Fixes: 15581/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_INDEO4_fuzzer-5651105515569152

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-29 15:57:54 +02:00
Michael Niedermayer 96efaa9a1a tools/target_dec_fuzzer: Adjust GDV pixel threshold down by a factor of 2 
Fixes: Timeout (7sec -> 1sec)
Fixes: 14709/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_GDV_fuzzer-5704215281795072

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-29 15:57:54 +02:00
Michael Niedermayer 738ff94f7c tools/target_dec_fuzzer: adjust pixel threshold for SANM, as it allows coding gigantic images on tiny input 
Fixes: Timeout (13sec ->1sec)
Fixes: 16122/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_SANM_fuzzer-5724944247291904

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-29 15:57:54 +02:00
Michael Niedermayer 02a44ed0c8 tools/target_dec_fuzzer: Increase maxpixels threshold for dirac 
wavelets allow significant size expansion and they are also not
very fast.

Fixes: Timeout
Fixes: 16480/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DIRAC_fuzzer-5659892689403904 (108sec -> 17ms)
Fixes: 16480/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_DIRAC_fuzzer-5749422717140992 (big ->15sec)

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: Tomas Härdin <tjoppen@acc.umu.se>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-26 10:36:40 +02:00
Michael Niedermayer 5af613cc48 tools/target_dec_fuzzer: Do not corrupt the packet size return 
Fixes: Timeout (infinite)
Fixes: 16732/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_TAK_fuzzer-5642166377906176

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: James Almer <jamrial@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-26 10:36:40 +02:00
James Almer 92c32b0f0c tools/target_dec_fuzzer: use refcounted packets 
Should reduce allocations and data copying.

Signed-off-by: James Almer <jamrial@gmail.com>
 2019-08-23 11:08:36 -03:00
Michael Niedermayer ac77c5492f tools/target_dec_fuzzer: Do not increase max_pixels 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-23 14:38:42 +02:00
Guo, Yejun ddd92ba2c6 convert_from_tensorflow.py: support conv2d with dilation 
conv2d with dilation > 1 generates tens of nodes in graph, it is not
easy to parse each node one by one, so we do special tricks to parse
the conv2d layer.

Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-08-15 14:58:19 -03:00
Guo, Yejun 2c01434d60 convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard 
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Pedro Arthur <bygrandao@gmail.com>
 2019-08-15 14:58:19 -03:00
Michael Niedermayer df7e79a5c3 tools/target_dec_fuzzer: adjust pixel threshold for MSRLE, as it allows coding gigantic images on tiny input 
Fixes: Timeout (12sec ->2sec)
Fixes: 16125/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_MSRLE_fuzzer-5650846364205056

Found-by: continuous fuzzing process https://github.com/google/oss-fuzz/tree/master/projects/ffmpeg
Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-15 01:26:21 +02:00
Michael Niedermayer 1e2e47e348 tools/target_dec_fuzzer: Print max_pixels and iterations at the end 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-13 16:48:38 +02:00
Nicolas George 2b4c1a0f3c tools/aviocat: add verbose mode. 
For now: print the input size as detected by AVSEEK_SIZE.
 2019-08-13 15:38:57 +02:00
Michael Niedermayer faa9cd312f tools/target_dec_fuzzer: Add missing breaks 
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-12 08:51:09 +02:00
Michael Niedermayer 9e0e9a5f36 tools/target_dec_fuzzer: Limit number off all pixels decoded 
This should reduces the number of uninteresting timeouts encountered

A single threshold for all codecs did not work

Fixes: 13979/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_QTRLE_fuzzer-5629872380051456 (14sec -> 4sec)
Fixes: 14709/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_GDV_fuzzer-5704215281795072 (179sec -> 7sec)
Fixes: 16296/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_HNM4_VIDEO_fuzzer-5756304521428992 (108sec -> 9sec)
Fixes: 15620/clusterfuzz-testcase-minimized-ffmpeg_AV_CODEC_ID_GIF_fuzzer-5657214435459072 (26sec -> 26ms)

Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
 2019-08-12 08:45:07 +02:00