22d0860c13
dnn_backend_native_layer_mathunary: add tan support
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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
88fb494f42
dnn_backend_native_layer_mathunary: add cos support
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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
0b6d3f0d83
dnn_backend_native_layer_mathunary: add sin support
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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
c7d8d8d8d9
vf_spp: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
6bfac4ee6f
vf_scale: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
344149cf01
framesync: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
aba98de6b8
avfilter: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
342230a537
af_resample: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
3dd324427a
af_aresample: switch to child_class_iterate()
2020-06-10 12:36:44 +02:00
0d6b4351c6
Remove unnecessary use of avcodec_close().
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Replace it with avcodec_free_context() or drop it completely as
appropriate.
2020-06-10 11:31:16 +02:00
c5079bf3bc
Bump minor versions after branching 4.3
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-06-08 22:49:04 +02:00
0a8a96c251
Bump minor versions to separate 4.3 from master
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Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-06-08 22:49:04 +02:00
bd6336b970
avfilter/vf_vaguedenoiser: add new type of threshold
2020-06-07 15:20:25 +02:00
6c57b0d63a
avfilter/vf_vaguedenoiser: remove excessive code from soft thresholding
2020-06-07 15:20:11 +02:00
7826fbfeaa
avfilter/avf_showspectrum: properly handle EOF case
2020-06-06 19:49:14 +02:00
1c32d7dfcf
avfilter/asrc_anoisesrc: switch to activate
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Allows to set EOF timestamp.
2020-06-06 15:53:07 +02:00
b6d7c4c1d4
dnn/native: fix typo for definition of DOT_INTERMEDIATE
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Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
Reviewed-by: Guo Yejun <yejun.guo@intel.com>
2020-06-03 09:57:22 +08:00
317b722c51
avfilter/vf_lut3d: Fix mixed declaration and code
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Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
2020-06-01 15:21:40 +02:00
a1221b96d8
avfilter/vf_lut3d: prelut support for 3d cinespace luts
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Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-05-31 00:55:12 +02:00
1329db8cfb
avfilter/af_aiir: simplify polynomial evaluation
2020-05-30 18:04:14 +02:00
aac16abd92
avfilter/af_aiir: use correct size when allocating in zp2tf
2020-05-30 18:04:14 +02:00
726dbc57f8
avfilter: add dblur video filter
2020-05-30 18:04:14 +02:00
018cd437f8
lavfi/aiir: Refine the pad/vpad related operation
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move the pad/vpad related operation with more natural
coding style.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
2020-05-30 19:02:43 +08:00
ff8329a730
lavfi/afir: fix vpad.name leak
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Fix vpad.name leak in error path, move the vpad related operation
only if enabled show IR frequency response.
Signed-off-by: Jun Zhao <barryjzhao@tencent.com>
2020-05-30 19:02:34 +08:00
6485b54477
Revert "avfilter/af_aiir: move response drawing as last step"
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This reverts commit ca7095a907
2020-05-30 10:05:19 +02:00
3fc7b01c52
avfilter/af_aiir: improve response calculation with zp coefficients
2020-05-30 10:05:19 +02:00
e2e8121eaa
avfilter/af_aiir: add S-plane support
2020-05-30 10:05:19 +02:00
327b52412d
avfilter/af_aiir: make it clear that transfer function is digital one
2020-05-30 10:05:19 +02:00
1206a10d9c
avfilter/af_biquads: implement 1st order allpass
2020-05-30 09:57:04 +02:00
83fa39eb06
lavfi/vulkan: use av_get_random_seed instead of rand
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We need at least a few bits of entropy to determine the start index of each
queue, in order to let filters run in parallel as much as possible, and
rand() is not thread safe and disrupts any external API's usage of rand,
so instead replace it with av_get_random_seed.
While it has more overhead than rand, we only run it once per filter upon init.
2020-05-29 13:10:58 +01:00
f73cc61bf5
dnn_backend_native_layer_mathunary: add abs support
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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
d5f87f8567
avfilter/vf_blend: add support for float formats
2020-05-26 23:27:02 +02:00
c0344cbfb0
lavfi/vulkan: fix queue counts and set indices
2020-05-26 10:52:11 +01:00
fb49d5c0b1
lavfi/vulkan: use dedicated allocation for buffers when necessary
2020-05-26 10:52:11 +01:00
727cac88b8
lavfi/vulkan: use all enabled queues in the queue family
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This should significantly improve the performance with certain
filterchains.
2020-05-23 19:07:50 +01:00
fac17fd46f
lavfi/vulkan: fix 2 minor memory leaks
2020-05-23 19:07:48 +01:00
88567a2e52
lavfi: add untile filter.
2020-05-23 15:52:27 +02:00
2a52f19a91
lavfi/framesync: use av_gcd_q().
2020-05-23 15:51:45 +02:00
beb98c0181
lavfi/tests/formats: reindent.
2020-05-23 15:50:20 +02:00
d5e5c6862b
lavfi/formats: remove dead code.
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Move the contents of all_channel_layouts.inc directly into
libavfilter/tests/formats.c.
2020-05-23 15:50:20 +02:00
df123590f0
lavfi/vf_crop: use ff_formats_pixdesc_filter().
2020-05-23 15:50:20 +02:00
563e1df5d6
lavfi/formats: add ff_formats_pixdesc_filter().
2020-05-23 15:50:20 +02:00
04f67dcccf
avfilter/vf_lut3d: initial float pixel format support
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Reviewed-by: Paul B Mahol <onemda@gmail.com>
Signed-off-by: Michael Niedermayer <michael@niedermayer.cc>
2020-05-23 00:26:38 +02:00
f30a41a608
Stop hardcoding align=32 in av_frame_get_buffer() calls.
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Use 0, which selects the alignment automatically.
2020-05-22 14:38:57 +02:00
ca7095a907
avfilter/af_aiir: move response drawing as last step
2020-05-22 14:14:15 +02:00
8c825e43f8
avfilter/af_aiir: fix first denominator calculation
2020-05-22 14:12:06 +02:00
07a9e5ec5e
avfilter/af_aiir: add more descriptive options aliases
2020-05-22 12:37:17 +02:00
ffda57b800
avfilter/af_aiir: export normalize option
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And enable it in all modes by default.
2020-05-22 12:30:59 +02:00
1fc5ddf774
avfilter/af_aiir: fix first delay value
2020-05-22 11:02:45 +02:00
86822cfcd9
avfilter/af_aiir: fix phase and group delay calculation
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Properly unwrap phase.
2020-05-20 12:08:32 +02:00
Ting Fu