| /external/libxaac/ |
| D | README.md | 3 …-AAC, the latest innovation member of the MPEG AAC codec family, is ideally suited for adaptive bi…
5 …High Efficiency AAC Profile is a logical evolution of the MPEG Audio's popular AAC Family profiles…
9 …-LD (Low Delay), AAC-ELD (Enhanced Low Delay), and AAC-ELDv2 (Enhanced Low Delay version 2) modes.…
11 …-D USAC, also known as Unified Speech and Audio Coding, is designed to provide high-quality audio …
13 …-LD, AAC-ELD, and AAC-ELDv2 modes, is a versatile audio coding technology that can be used for a w…
15 …-D DRC (Dynamic Range Control) for the Extended HE-AAC profile in both encoder and decoder. MPEG-D…
18 * The operating points for MPEG-D USAC (along with MPEG-D DRC) in libxaac encoder is currently rest…
19 * Further Quality enhancements for AAC-ELD and AAC-ELDv2 modes may be pushed as quality assessment …
44 $ cmake -G "Visual Studio 15 2017" ..
52 $ cmake -G "Visual Studio 15 2017 Win64" ..
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ |
| D | ImageObjectDetectionModelMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
31 * * `cloud-high-accuracy-1` - (default) A model to be used via prediction
33 * should also have a higher prediction quality than other
35 * * `cloud-low-latency-1` - A model to be used via prediction
37 * have lower prediction quality than other models.
38 * * `mobile-low-latency-1` - A model that, in addition to providing
42 * may have lower prediction quality than other models.
43 * * `mobile-versatile-1` - A model that, in addition to providing
47 * * `mobile-high-accuracy-1` - A model that, in addition to providing
51 * latency, but should also have a higher prediction quality
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| D | ImageObjectDetectionModelMetadata.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
81 * * `cloud-high-accuracy-1` - (default) A model to be used via prediction
83 * should also have a higher prediction quality than other
85 * * `cloud-low-latency-1` - A model to be used via prediction
87 * have lower prediction quality than other models.
88 * * `mobile-low-latency-1` - A model that, in addition to providing
92 * may have lower prediction quality than other models.
93 * * `mobile-versatile-1` - A model that, in addition to providing
97 * * `mobile-high-accuracy-1` - A model that, in addition to providing
101 * latency, but should also have a higher prediction quality
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| D | ImageClassificationModelMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
120 * * `cloud` - Model to be used via prediction calls to AutoML API.
122 * * `mobile-low-latency-1` - A model that, in addition to providing
126 * may have lower prediction quality than other models.
127 * * `mobile-versatile-1` - A model that, in addition to providing
131 * * `mobile-high-accuracy-1` - A model that, in addition to providing
135 * latency, but should also have a higher prediction quality
137 * * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
141 * lower prediction quality than other models.
142 * * `mobile-core-ml-versatile-1` - A model that, in addition to providing
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| /external/webrtc/sdk/android/api/org/webrtc/ |
| D | VideoEncoder.java | 4 * Use of this source code is governed by a BSD-style license
122 /** Settings for WebRTC quality based scaling. */
126 @Nullable public final Integer high; field in VideoEncoder.ScalingSettings
129 * Settings to disable quality based scaling.
134 * Creates settings to enable quality based scaling.
137 * @param high Average QP at which to scale down the resolution.
139 public ScalingSettings(int low, int high) { in ScalingSettings() argument
142 this.high = high; in ScalingSettings()
148 this.high = null; in ScalingSettings()
155 * Creates quality based scaling setting.
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ |
| D | ImageObjectDetectionModelMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
31 * * `cloud-high-accuracy-1` - (default) A model to be used via prediction
33 * should also have a higher prediction quality than other
35 * * `cloud-low-latency-1` - A model to be used via prediction
37 * have lower prediction quality than other models.
38 * * `mobile-low-latency-1` - A model that, in addition to providing
42 * may have lower prediction quality than other models.
43 * * `mobile-versatile-1` - A model that, in addition to providing
47 * * `mobile-high-accuracy-1` - A model that, in addition to providing
51 * latency, but should also have a higher prediction quality
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| D | ImageObjectDetectionModelMetadata.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
81 * * `cloud-high-accuracy-1` - (default) A model to be used via prediction
83 * should also have a higher prediction quality than other
85 * * `cloud-low-latency-1` - A model to be used via prediction
87 * have lower prediction quality than other models.
88 * * `mobile-low-latency-1` - A model that, in addition to providing
92 * may have lower prediction quality than other models.
93 * * `mobile-versatile-1` - A model that, in addition to providing
97 * * `mobile-high-accuracy-1` - A model that, in addition to providing
101 * latency, but should also have a higher prediction quality
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| D | ImageClassificationModelMetadataOrBuilder.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
72 * `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
73 * `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
74 * `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
134 * * `cloud` - Model to be used via prediction calls to AutoML API.
136 * * `mobile-low-latency-1` - A model that, in addition to providing
140 * may have lower prediction quality than other models.
141 * * `mobile-versatile-1` - A model that, in addition to providing
145 * * `mobile-high-accuracy-1` - A model that, in addition to providing
149 * latency, but should also have a higher prediction quality
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| D | ImageClassificationModelMetadata.java | 8 * https://www.apache.org/licenses/LICENSE-2.0
147 * `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
148 * `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
149 * `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
247 * * `cloud` - Model to be used via prediction calls to AutoML API.
249 * * `mobile-low-latency-1` - A model that, in addition to providing
253 * may have lower prediction quality than other models.
254 * * `mobile-versatile-1` - A model that, in addition to providing
258 * * `mobile-high-accuracy-1` - A model that, in addition to providing
262 * latency, but should also have a higher prediction quality
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| /external/oboe/tests/ |
| D | testResampler.cpp | 8 * http://www.apache.org/licenses/LICENSE-2.0
35 int state = 0; // can be -1, 0, +1 in countZeroCrossingsWithHysteresis()
42 } else if (input[i] <= -kHysteresisLevel) { in countZeroCrossingsWithHysteresis()
46 state = -1; in countZeroCrossingsWithHysteresis()
56 * Glitches have a high value in the second derivative.
59 MultiChannelResampler::Quality quality) { in checkResampler() argument
75 phase -= 2.0; in checkResampler()
85 quality)); in checkResampler()
91 if (mcResampler->isWriteNeeded()) { in checkResampler()
92 mcResampler->writeNextFrame(input); in checkResampler()
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| /external/googleapis/google/cloud/automl/v1/ |
| D | image.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
59 // `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
60 // `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
61 // `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
76 // * `cloud` - Model to be used via prediction calls to AutoML API.
78 // * `mobile-low-latency-1` - A model that, in addition to providing
82 // may have lower prediction quality than other models.
83 // * `mobile-versatile-1` - A model that, in addition to providing
87 // * `mobile-high-accuracy-1` - A model that, in addition to providing
91 // latency, but should also have a higher prediction quality
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/proto/google/cloud/automl/v1/ |
| D | image.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
59 // `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
60 // `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
61 // `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
76 // * `cloud` - Model to be used via prediction calls to AutoML API.
78 // * `mobile-low-latency-1` - A model that, in addition to providing
82 // may have lower prediction quality than other models.
83 // * `mobile-versatile-1` - A model that, in addition to providing
87 // * `mobile-high-accuracy-1` - A model that, in addition to providing
91 // latency, but should also have a higher prediction quality
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| /external/autotest/client/cros/audio/ |
| D | check_quality.py | 4 # Use of this source code is governed by a BSD-style license that can be
36 # Holder for quality parameters used in audio_quality_measurement module.
50 'For raw format, user must also pass -b, -r, -c'
52 parser.add_argument('--debug', action='store_true', default=False,
54 parser.add_argument('--spectral-only', action='store_true', default=False,
56 parser.add_argument('--freqs', metavar='FREQ', type=float,
60 'E.g.: --freqs 1000 2000. '
64 'E.g.: --freqs 1000 0 2000 0 3000. '
66 parser.add_argument('--freq-threshold', metavar='FREQ_THRESHOLD', type=float,
70 parser.add_argument('--ignore-high-freq', metavar='HIGH_FREQ_THRESHOLD',
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| /external/speex/include/speex/ |
| D | speex_resampler.h | 1 /* Copyright (C) 2007 Jean-Marc Valin
7 - Very fast algorithm
8 - Low memory requirement
9 - Good *perceptual* quality (and not best SNR)
121 * @param quality Resampling quality between 0 and 10, where 0 has poor quality
122 * and 10 has very high quality.
129 int quality,
134 * denominator being 32-bit integers.
140 * @param quality Resampling quality between 0 and 10, where 0 has poor quality
141 * and 10 has very high quality.
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| /external/libaom/ |
| D | CHANGELOG | 1 2024-04-09 v3.9.0
6 - New Features
14 * libwebm is updated to libwebm-1.0.0.31-1-gaffd7f4.
16 - Compression Efficiency Improvements
18 * 1-2% BD-rate gain for screen content with temporal layers; 5% BD-rate
21 - Perceptual Quality Improvements
24 * Visual quality improved for scene changes for SVC with quality layers.
27 - Speedups:
30 * 5-9% speed up for high bit-depth encoding with good mode on Arm, half of
33 - Other improvements
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| /external/googleapis/google/cloud/automl/v1beta1/ |
| D | image.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
63 // * `cloud` - Model to be used via prediction calls to AutoML API.
65 // * `mobile-low-latency-1` - A model that, in addition to providing
69 // may have lower prediction quality than other models.
70 // * `mobile-versatile-1` - A model that, in addition to providing
74 // * `mobile-high-accuracy-1` - A model that, in addition to providing
78 // latency, but should also have a higher prediction quality
80 // * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
84 // lower prediction quality than other models.
85 // * `mobile-core-ml-versatile-1` - A model that, in addition to providing
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ |
| D | image.proto | 7 // http://www.apache.org/licenses/LICENSE-2.0
63 // * `cloud` - Model to be used via prediction calls to AutoML API.
65 // * `mobile-low-latency-1` - A model that, in addition to providing
69 // may have lower prediction quality than other models.
70 // * `mobile-versatile-1` - A model that, in addition to providing
74 // * `mobile-high-accuracy-1` - A model that, in addition to providing
78 // latency, but should also have a higher prediction quality
80 // * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
84 // lower prediction quality than other models.
85 // * `mobile-core-ml-versatile-1` - A model that, in addition to providing
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| /external/sonic/debian/ |
| D | control | 5 Build-Depends: debhelper (>= 7.0.50~)
6 Standards-Version: 3.9.1
7 Homepage: http://vinux-project.org/sonic
8 Vcs-Browser: http://vinux-project.org/gitweb/?p=sonic.git;a=summary
9 Vcs-Git: git://vinux-project.org/sonic
18 high quality at speed up factors well over 2X.
30 high quality at speed up factors well over 2X.
32 Package: libsonic-dev
41 high quality at speed up factors well over 2X.
|
| /external/python/google-api-python-client/docs/dyn/ |
| D | youtube_v3.subscriptions.html | 8 font-weight: inherit;
9 font-style: inherit;
10 font-size: 100%;
11 font-family: inherit;
12 vertical-align: baseline;
16 font-size: 13px;
21 font-size: 26px;
22 margin-bottom: 1em;
26 font-size: 24px;
27 margin-bottom: 1em;
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| /external/sonic/ |
| D | sonic.h | 14 specific purpose of speeding up speech by high factors at high quality. It
15 generates smooth speech at speed up factors as high as 6X, possibly more. It is
16 also capable of slowing down speech, and generates high quality results
20 newSamples = period/(speed - 1.0)
29 out[t] = (samples[t]*(newSamples - t) + samples[t + period]*t)/newSamples;
31 where t = 0 to newSamples - 1.
40 length(speed - 1) = 2*period - speed*period
41 length = period*(2 - speed)/(speed - 1)
47 length = period*(speed - 0.5)/(1 - speed)
50 similar to high speed factors is used.
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| /external/aws-sdk-java-v2/services/mediatailor/src/main/resources/codegen-resources/ |
| D | docs-2.json | 3 …you can serve targeted ads to viewers while maintaining broadcast quality in over-the-top (OTT) vi…
56 …"CdnConfiguration$AdSegmentUrlPrefix" : "<p>A non-default content delivery network (CDN) to serve …
59 … dynamic parameters. AWS Elemental MediaTailor substitutes player-specific and session-specific pa…
61 … get a manifest from AWS Elemental MediaTailor. This session will use server-side reporting. </p>",
62 … : "<p>The URL that the player uses to initialize a session that uses client-side reporting. </p>",
63 …high-quality video asset to transcode and use to fill in time that's not used by ads. AWS Elementa…
66 … playback session for devices that support Apple HLS. The session uses server-side reporting.</p>",
68 … dynamic parameters. AWS Elemental MediaTailor substitutes player-specific and session-specific pa…
70 …high-quality video asset to transcode and use to fill in time that's not used by ads. AWS Elementa…
|
| /external/openthread/tests/toranj/cli/ |
| D | test-021-br-route-prf.py | 34 # -------------------------------------------------------------------------------------------------…
39 test_name = __file__[:-3] if __file__.endswith('.py') else __file__
40 print('-' * 120)
43 # -------------------------------------------------------------------------------------------------…
52 # -------------------------------------------------------------------------------------------------…
58 leader.form('br-route-prf')
64 # -------------------------------------------------------------------------------------------------…
73 # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -…
84 br.br_set_routeprf('high')
85 verify(br.br_get_routeprf() == 'high')
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| /external/e2fsprogs/lib/uuid/ |
| D | uuid_generate.3.in | 3 .\" %Begin-Header%
29 .\" %End-Header%
34 uuid_generate, uuid_generate_random, uuid_generate_time \- create a new unique UUID value
47 be generated based on high-quality randomness from
53 using a pseudo-random generator.
57 function forces the use of the all-random UUID format, even if
58 a high-quality random number generator (i.e.,
60 is not available, in which case a pseudo-random
61 generator will be substituted. Note that the use of a pseudo-random
74 function only uses this algorithm if a high-quality source of
|
| /external/sdv/vsomeip/third_party/boost/spirit/repository/doc/ |
| D | preface.qbk | 2 Copyright (C) 2001-2011 Joel de Guzman
3 Copyright (C) 2001-2011 Hartmut Kaiser
17 __spirit__ library while being able to maintain its high standards in terms of
18 code quality, flexibility, and maintainability. At the same time it encourages
38 The quality of contributions is another key to success. That includes not only
42 usable, high quality components. The mandatory discussions and the review of
43 contributions on the __spirit_list__ ensure the targeted high quality
67 [[__caution__] [Caution] [Take special care with this - it may
|
| /external/swiftshader/third_party/subzero/docs/ |
| D | DESIGN.rst | 5 ------------
9 PNaCl toolchain to compile their application to architecture-neutral PNaCl
10 bitcode (a ``.pexe`` file), using as much architecture-neutral optimization as
14 <https://developer.chrome.com/native-client/reference/sandbox_internals/index>`_
15 native code. The translator uses architecture-specific optimizations as much as
19 future page loads. However, first-time user experience is hampered by long
20 translation times. The LLVM-based PNaCl translator is pretty slow, even when
21 using ``-O0`` to minimize optimizations, so delays are especially noticeable on
22 slow browser platforms such as ARM-based Chromebooks.
26 - Parallel translation. However, slow machines where this matters most, e.g.
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