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Searched
full:spatial
(Results
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412
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/external/aac/libSACenc/include/
sacenc_lib.h
199
SACENC_FRAME_TIME_SLOTS, /*!< Configure number of slots per
spatial
frame. */
233
* Describes
Spatial
Specific Config.
257
*pSscBuf; /*!< Pointer to
Spatial
Specific Config structure. */
/external/libjpeg-turbo/
cjpeg.1
119
to
spatial
changes in brightness than
spatial
changes in color, the chrominance
122
feature reduces data in the frequency domain instead of the
spatial
domain,
/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
resnet_v1.py
147
spatial
dimensions that are multiples of 32 plus 1, e.g., [321, 321]. In
148
this case the feature maps at the ResNet output will have
spatial
shape
171
ratio of input to output
spatial
resolution.
resnet_v2.py
149
spatial
dimensions that are multiples of 32 plus 1, e.g., [321, 321]. In
150
this case the feature maps at the ResNet output will have
spatial
shape
173
ratio of input to output
spatial
resolution.
/external/tensorflow/tensorflow/core/kernels/
pooling_ops_common.cc
36
// For maxpooling, tensor_in should have 2
spatial
dimensions.
42
"tensor_in_shape must have 2
spatial
dimensions. ",
103
//
Spatial
pooling
/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
local.py
229
all
spatial
dimensions.
233
all
spatial
dimensions.
319
raise ValueError('The
spatial
dimensions of the inputs to '
/external/libvpx/libvpx/
CHANGELOG
206
for the
spatial
denoiser (0-6). The temporal denoiser is enabled
207
by default, and the older
spatial
denoiser may be restored by
209
is more computationally intensive than the
spatial
one.
219
gives higher quality than the older
spatial
denoiser. (See above
277
with
spatial
resampling enabled.
513
vp8e_get_preview fixed when
spatial
resampling enabled
/external/tensorflow/tensorflow/python/keras/_impl/keras/applications/
mobilenet.py
123
just the first step in a depthwise
spatial
convolution
132
all
spatial
dimensions.
136
all
spatial
dimensions.
575
all
spatial
dimensions.
579
all
spatial
dimensions.
645
all
spatial
dimensions.
/external/ImageMagick/ImageMagick/api/
shear.html
59
<p>The XShearImage() and YShearImage() methods are based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth, Graphics Interface '86 (Vancouver). ShearRotateImage() is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
143
<p>ShearRotateImage() is based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth. ShearRotateImage is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
/external/ImageMagick/ImageMagick/script/
webp.html
145
<td>the amplitude of the
spatial
noise shaping.
Spatial
noise shaping (SNS) refers to a general collection of built-in algorithms used to decide which area of the picture should use relatively less bits, and where else to better transfer these bits. The possible range goes from 0 (algorithm is off) to 100 (the maximal effect). The default value is 80. </td>
/external/ImageMagick/www/api/
shear.html
63
<p>The XShearImage() and YShearImage() methods are based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth, Graphics Interface '86 (Vancouver). ShearRotateImage() is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
147
<p>ShearRotateImage() is based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth. ShearRotateImage is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
shear.php
59
<p>The XShearImage() and YShearImage() methods are based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth, Graphics Interface '86 (Vancouver). ShearRotateImage() is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
143
<p>ShearRotateImage() is based on the paper "A Fast Algorithm for General Raster Rotatation" by Alan W. Paeth. ShearRotateImage is adapted from a similar method based on the Paeth paper written by Michael Halle of the
Spatial
Imaging Group, MIT Media Lab.</p>
/external/ImageMagick/www/
webp.html
149
<td>the amplitude of the
spatial
noise shaping.
Spatial
noise shaping (SNS) refers to a general collection of built-in algorithms used to decide which area of the picture should use relatively less bits, and where else to better transfer these bits. The possible range goes from 0 (algorithm is off) to 100 (the maximal effect). The default value is 80. </td>
/external/aac/libAACenc/src/
mps_main.h
205
* \brief Write
Spatial
Specific Config.
208
* the
Spatial
Specific Config to given bitstream buffer.
/external/aac/libSACdec/src/
sac_dec_interface.h
290
* \param self
spatial
decoder handle.
318
* \param self
spatial
decoder handle.
/external/libmpeg2/common/
ideint_utils.c
365
* Performs
spatial
edge adaptive filtering
368
* Performs
spatial
edge adaptive filtering by detecting edge direction
/external/libvpx/libvpx/vp9/encoder/
vp9_noise_estimate.c
25
// For SVC: only do noise estimation on top
spatial
layer.
231
// Avoid blocks with high brightness and high
spatial
variance.
/external/ltp/testcases/kernel/device-drivers/v4l/user_space/doc/spec/
x6386.htm
113
>
spatial
order</I
129
distinction between temporal and
spatial
order of fields. The diagrams
/external/opencv/cv/include/
cvtypes.h
50
/*
spatial
and central moments */
53
double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; /*
spatial
moments */
/external/tensorflow/tensorflow/compiler/xla/service/gpu/
gpu_layout_assignment.cc
41
// determined by the ConvolutionDimensionNumbers argument. Y is
spatial
42
// dimension 0, and X is
spatial
dimension 1.
/external/tensorflow/tensorflow/python/kernel_tests/
atrous_conv2d_test.py
34
"""Upsamples the filters by a factor of rate along the
spatial
dimensions.
45
the filters'
spatial
dimensions.
atrous_convolution_test.py
37
"""Upsamples the filters by a factor of rate along the
spatial
dimensions.
50
spatial
dimension i.
/external/webrtc/talk/media/webrtc/
simulcast.cc
46
// not sending the next higher
spatial
stream.
49
// is not the highest layer (i.e., when we are sending another higher
spatial
/external/webrtc/webrtc/modules/video_coding/codecs/test/
videoprocessor.h
156
// Return the number of
spatial
resizes.
190
// Return the number of
spatial
resizes.
/external/tensorflow/tensorflow/python/ops/
nn_ops.py
244
`[num_spatial_dims, 2]` based on the value of `padding` and the
spatial
264
Because `space_to_batch_nd` and `batch_to_space_nd` assume that the
spatial
333
integers (which are >= 1) specifying the
spatial
dimensions of `input`
527
#
Spatial
dimensions of the filters and the upsampled filters in which we
563
value for non-
spatial
dimensions.
580
# Fill in any gap from the previous
spatial
dimension (or dimension 1 if
581
# this is the first
spatial
dimension) with `fill_value`.
590
# i.e. the end of a contiguous group of
spatial
dimensions.
683
of N `strides` (defaulting [1]*N), this computes for each N-D
spatial
output
697
input channel number, and z is the N-D
spatial
offset within the filter. Here
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