Michael Niedermayer
52cc86cae1
avfilter/vf_spp: Fix endian-dependance in add_block()
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-05-12 01:00:28 +02:00
Michael Niedermayer
dde86d0ddf
avfilter/vf_spp: Remove unused AVCodecContext
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-05-12 01:00:28 +02:00
Lynne
70d396c8af
Revert "hwcontext_vulkan: only use one semaphore per image"
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This reverts commit 97b526c192
.
It broke the API, and assumed no other APIs used multiple semaphores.
This also disallowed certain optimizations to happen.
Dealing with APIs that give or expect single semaphores is easier when
we use per-image semaphores.
2020-05-11 23:48:26 +01:00
Limin Wang
a058d81570
avfilter/vf_signalstats: reindent after last commit
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-10 22:32:34 +08:00
Limin Wang
25bb72af62
avfilter/vf_signalstats: make the alloc array used for any bit depth
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-10 22:32:34 +08:00
Limin Wang
764efda192
avfilter/vf_signalstats: add SignalstatsContext.maxsize variable
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-10 22:32:34 +08:00
Limin Wang
a8c762a17d
avfilter/vf_signalstats: rename config_props -> config_output
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-10 22:32:34 +08:00
Guo, Yejun
71e28c5422
dnn/native: add native support for minimum
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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
Sebastian Dröge
ed3da72583
s->target_i and global are in dB but s->target_tp and true_peak are
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linear. Instead of mixing these in the calculations, convert the former
first to have all following calculations in the same unit.
Signed-off-by: Kyle Swanson <k@ylo.ph>
2020-05-01 21:36:07 -07:00
Limin Wang
f441fadbcf
avfilter/af_adelay: Check sscanf() return value
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Reviewed-by: Michael Niedermayer <michael@niedermayer.cc>
Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-01 06:36:36 +08:00
Limin Wang
ee5d6d2ef8
avfilter/vf_mix: Check sscanf() return value
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Reviewed-by: Nicolas George <george@nsup.org>
Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-05-01 06:36:36 +08:00
Paul B Mahol
0a181c2cb1
avfilter/af_crossfeed: make options runtime configurable
2020-04-30 12:18:36 +02:00
Paul B Mahol
35d6001815
avfilter/af_crossfeed: make slope configurable
2020-04-30 12:18:36 +02:00
Paul B Mahol
0ec61fcff7
avfilter/af_crossfeed: fix calculation of alpha parameter
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Use A in calculation.
2020-04-30 12:18:36 +02:00
Paul B Mahol
c7d8082357
avfilter: add asubboost filter
2020-04-30 12:18:36 +02:00
Paul B Mahol
2970846fc1
avfilter/vf_v360: make FOV adjusted for dual fisheye too
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Remove any usage of padding for this format.
2020-04-29 19:18:25 +02:00
Paul B Mahol
d8147c4e2d
avfilter/af_amix: make weights option runtime configured
2020-04-29 19:18:25 +02:00
Steven Liu
d813e43b3d
avfilter/vf_v360: adjustment out_pad and in_pad maximum value to 1/10
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Because not every user know about in_pad and out_pad reasonable value range
so maybe try to set 1.0, but setting 1.0 is so hugh to get an fatal error.
Suggested-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Steven Liu <lq@chinaffmpeg.org>
2020-04-29 13:48:02 +01:00
Paul B Mahol
f53fc935b8
avfilter/vf_pixscope: also show standard deviation of zoomed area
2020-04-26 12:27:36 +02:00
Paul B Mahol
35bcbfd6da
avfilter/f_interleave: no need to check for inlink eof if non-empty queue
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Also set state to ready if there is any inlink with queued frame.
2020-04-25 13:35:22 +02:00
Paul B Mahol
ec3b5deab4
avfilter/f_interleave: make sure that all frames in inlink queue are used
2020-04-25 13:07:13 +02:00
Paul B Mahol
b29b934e4f
avfilter/f_interleave: add duration option
2020-04-25 12:35:22 +02:00
Lynne
b136a98303
scale_vulkan: take frame cropping parameters in account when scaling
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Then sample_aspect_ratio line at the bottom was cargo-culted from the vaapi
scaling filter, but its unnecesary.
2020-04-23 18:23:45 +01:00
Lynne
f66ac83c22
overlay_vulkan: add support for overlaying images with an alpha channel
2020-04-23 18:23:45 +01:00
Guo, Yejun
8ce9d88f93
dnn/native: add native support for divide
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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'
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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'
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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
Paul B Mahol
4457f75c65
avfilter: add maskedthreshold filter
2020-04-18 12:34:49 +02:00
Paul B Mahol
9987f6d01e
avfilter: add tmedian filter
2020-04-18 12:34:49 +02:00
Limin Wang
403bee30a5
avfilter/af_acrossover: Check sscanf() return value
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
2020-04-17 16:56:13 +02:00
Paul B Mahol
24db9372eb
avfilter/af_astats: add noise floor count stat
2020-04-17 13:28:01 +02:00
Paul B Mahol
715da29501
avfilter/af_astats: add slice threading support
2020-04-17 13:26:44 +02:00
Paul B Mahol
87b4fb65a8
avfilter/af_astats: measure noise floor
2020-04-17 13:26:30 +02:00
Paul B Mahol
0607f1bcb0
avfilter/af_amix: unbreak FATE, increase iterator when breaking from loop
2020-04-14 19:21:23 +02:00
Paul B Mahol
10a68ccd58
avfilter/af_amix: use av_strtod() for weights
2020-04-14 12:38:47 +02:00
Paul B Mahol
ce24b1def0
avfilter/vf_telecine: avoid possible null-pointer dereference
2020-04-14 12:12:42 +02:00
Paul B Mahol
70f866ad1b
avfilter/vf_mix: check if array is available
2020-04-13 16:44:01 +02:00
Gyan Doshi
2e2fa2d6e6
doc/filters: clarify metadata and logging for blackdetect
2020-04-13 11:23:24 +05:30
Carl Eugen Hoyos
dbc5c0c1c8
lavfi/telecine: Mark telecined frames as interlaced.
2020-04-11 13:48:52 +02:00
Gyan Doshi
49a32fa45c
avfilter/delogo: correct indentation for option show.
2020-04-11 11:46:48 +05:30
Gyan Doshi
74fe697f96
avfilter/delogo: remove deprecated options
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Deprecated in 2015 in 8bc708fcee
2020-04-11 11:46:43 +05:30
Limin Wang
46d2b2071b
avfilter/ebur128: prefer to use variable instead of type for sizeof
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Signed-off-by: Limin Wang <lance.lmwang@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-04-09 15:03:36 +02:00
Rosen Penev
8beb9e571c
avfilter/vf_drawtext: only test available exceptions
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soft float systems do not define these macros under musl.
Fixes: Ticket7102
Signed-off-by: Rosen Penev <rosenp@gmail.com>
2020-04-09 00:59:21 +02:00
Lynne
97b526c192
hwcontext_vulkan: only use one semaphore per image
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The idea was to allow separate planes to be filtered independently, however,
in hindsight, literaly nothing uses separate per-plane semaphores and it
would only work when each plane is backed by separate device memory.
2020-04-07 12:52:56 +01:00
Paul B Mahol
3f9fd9dcfd
avfilter/vf_xfade: add slice transitions
2020-04-07 13:51:25 +02:00
Guo, Yejun
7e4527e8fa
avfilter/vf_derain.c: put all the calculation in model file.
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currently, the model outputs the rain, and so need a subtraction
in filter c code to get the final derain result.
I've sent a PR to update the model file and accepted, see at
https://github.com/XueweiMeng/derain_filter/pull/3
Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
Signed-off-by: Steven Liu <lq@chinaffmpeg.org>
2020-04-07 11:04:47 +08:00
Guo, Yejun
ffa1561608
dnn_backend_native_layer_mathbinary: add sub support
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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
Guo, Yejun
2114c42418
avfilter/vf_dnn_processing.c: fix typo for the linesize of dnn data
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Signed-off-by: Guo, Yejun <yejun.guo@intel.com>
2020-04-07 11:03:25 +08:00
Lynne
ca76a5ba1a
scale_vulkan: correctly copy the colormatrix
2020-04-06 19:16:35 +01:00
Carl Eugen Hoyos
61dcaf5fb7
lavf, lavfi: Remove uses of sizeof(char).
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The C standard requires sizeof(char) == 1.
2020-04-04 23:21:14 +02:00