| /external/sdv/vsomeip/third_party/boost/function_types/test/ |
| D | Jamfile | 14 # Classification
16 [ compile classification/is_function.cpp ]
17 [ compile classification/is_function_pointer.cpp ]
18 [ compile classification/is_function_reference.cpp ]
19 [ compile classification/is_member_function_pointer.cpp ]
20 [ compile classification/is_member_object_pointer.cpp ]
21 [ compile classification/is_callable_builtin.cpp ]
22 [ compile classification/is_nonmember_callable_builtin.cpp ]
23 [ compile classification/is_member_pointer.cpp ]
25 [ compile classification/is_cv_mem_func_ptr.cpp ]
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ |
| D | BatchPredictRequestOrBuilder.java | 146 * * For Text Classification:
150 * * For Image Classification:
161 * * For Video Classification :
166 * segment-level classification. AutoML Video Intelligence returns
171 * classification. AutoML Video Intelligence determines the boundaries
176 * WARNING: Model evaluation is not done for this classification type,
180 * classification for a video at one-second intervals. AutoML Video
184 * WARNING: Model evaluation is not done for this classification
213 * * For Text Classification:
217 * * For Image Classification:
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| D | BatchPredictRequest.java | 285 * * For Text Classification:
289 * * For Image Classification:
300 * * For Video Classification :
305 * segment-level classification. AutoML Video Intelligence returns
310 * classification. AutoML Video Intelligence determines the boundaries
315 * WARNING: Model evaluation is not done for this classification type,
319 * classification for a video at one-second intervals. AutoML Video
323 * WARNING: Model evaluation is not done for this classification
364 * * For Text Classification:
368 * * For Image Classification:
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| D | AnnotationPayloadOrBuilder.java | 65 * Annotation details for content or image classification.
68 * <code>.google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3;</code>
70 * @return Whether the classification field is set.
77 * Annotation details for content or image classification.
80 * <code>.google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3;</code>
82 * @return The classification.
89 * Annotation details for content or image classification.
92 * <code>.google.cloud.automl.v1beta1.ClassificationAnnotation classification = 3;</code>
140 * Annotation details for video classification.
141 * Returned for Video Classification predictions.
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/java/com/google/cloud/automl/v1/ |
| D | BatchPredictRequestOrBuilder.java | 146 * AutoML Natural Language Classification
151 * AutoML Vision Classification
165 * AutoML Video Intelligence Classification
172 * segment-level classification. AutoML Video Intelligence returns
178 * classification. AutoML Video Intelligence determines the boundaries
184 * WARNING: Model evaluation is not done for this classification type,
189 * classification for a video at one-second intervals. AutoML Video
193 * WARNING: Model evaluation is not done for this classification
220 * AutoML Natural Language Classification
225 * AutoML Vision Classification
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| D | BatchPredictRequest.java | 283 * AutoML Natural Language Classification
288 * AutoML Vision Classification
302 * AutoML Video Intelligence Classification
309 * segment-level classification. AutoML Video Intelligence returns
315 * classification. AutoML Video Intelligence determines the boundaries
321 * WARNING: Model evaluation is not done for this classification type,
326 * classification for a video at one-second intervals. AutoML Video
330 * WARNING: Model evaluation is not done for this classification
369 * AutoML Natural Language Classification
374 * AutoML Vision Classification
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| /external/libtextclassifier/native/annotator/translate/ |
| D | translate_test.cc | 95 ClassificationResult classification; in TEST_F() local
98 "en", &classification)); in TEST_F()
100 EXPECT_THAT(classification, in TEST_F()
103 GetEntityData(classification.serialized_entity_data.data()); in TEST_F()
113 ClassificationResult classification; in TEST_F() local
115 {0, 2}, "en", &classification)); in TEST_F()
117 EXPECT_THAT(classification, in TEST_F()
120 GetEntityData(classification.serialized_entity_data.data()); in TEST_F()
134 ClassificationResult classification; in TEST_F() local
136 UTF8ToUnicodeText("学校"), {0, 2}, "en", &classification)); in TEST_F()
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| /external/libtextclassifier/native/annotator/duration/ |
| D | duration_test.cc | 156 ClassificationResult classification; in TEST_F() local
159 AnnotationUsecase_ANNOTATION_USECASE_RAW, &classification)); in TEST_F()
161 EXPECT_THAT(classification, in TEST_F()
168 ClassificationResult classification; in TEST_F() local
171 AnnotationUsecase_ANNOTATION_USECASE_RAW, &classification)); in TEST_F()
175 ClassificationResult classification; in TEST_F() local
178 AnnotationUsecase_ANNOTATION_USECASE_RAW, &classification)); in TEST_F()
180 EXPECT_THAT(classification, in TEST_F()
186 ClassificationResult classification; in TEST_F() local
189 AnnotationUsecase_ANNOTATION_USECASE_RAW, &classification)); in TEST_F()
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ |
| D | classification.proto | 27 // Type of the classification problem.
39 // Contains annotation details specific to classification.
49 // Contains annotation details specific to video classification.
51 // Output only. Expresses the type of video classification. Possible values:
53 // * `segment` - Classification done on a specified by user
56 // ML model evaluations are done only for this type of classification.
58 // * `shot`- Shot-level classification.
64 // WARNING: Model evaluation is not done for this classification type,
71 // WARNING: Model evaluation is not done for this classification type,
76 // Output only . The classification details of this annotation.
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| /external/googleapis/google/cloud/automl/v1beta1/ |
| D | classification.proto | 27 // Type of the classification problem.
39 // Contains annotation details specific to classification.
49 // Contains annotation details specific to video classification.
51 // Output only. Expresses the type of video classification. Possible values:
53 // * `segment` - Classification done on a specified by user
56 // ML model evaluations are done only for this type of classification.
58 // * `shot`- Shot-level classification.
64 // WARNING: Model evaluation is not done for this classification type,
71 // WARNING: Model evaluation is not done for this classification type,
76 // Output only . The classification details of this annotation.
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| /external/sdv/vsomeip/third_party/boost/algorithm/include/boost/algorithm/string/ |
| D | classification.hpp | 1 // Boost string_algo library classification.hpp header file ---------------------------//
18 #include <boost/algorithm/string/detail/classification.hpp>
23 Classification predicates are included in the library to give
25 They wrap functionality of STL classification functions ( e.g. \c std::isspace() )
32 // classification functor generator -------------------------------------//
40 \param Loc A locale used for classification
53 \param Loc A locale used for classification
66 \param Loc A locale used for classification
79 \param Loc A locale used for classification
92 \param Loc A locale used for classification
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| /external/libtextclassifier/native/annotator/ |
| D | test-utils.h | 29 const std::string first_result = arg.classification.empty()
31 : arg.classification[0].collection;
37 const std::string first_result = arg.classification.empty()
39 : arg.classification[0].collection;
56 if (arg.classification.empty()) {
61 arg.classification[0].duration_ms == duration_ms;
65 if (arg.classification.empty()) {
70 arg.classification[0].datetime_parse_result.time_ms_utc ==
72 arg.classification[0].datetime_parse_result.granularity == granularity;
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| /external/libtextclassifier/java/src/com/android/textclassifier/ |
| D | ExtrasUtils.java | 83 public static Bundle getForeignLanguageExtra(@Nullable TextClassification classification) { in getForeignLanguageExtra() argument
84 if (classification == null) { in getForeignLanguageExtra()
87 return classification.getExtras().getBundle(FOREIGN_LANGUAGE); in getForeignLanguageExtra()
203 public static ArrayList<Intent> getActionsIntents(@Nullable TextClassification classification) { in getActionsIntents() argument
204 if (classification == null) { in getActionsIntents()
207 return classification.getExtras().getParcelableArrayList(ACTIONS_INTENTS); in getActionsIntents()
211 * Returns the first action found in the {@code classification} object with an intent action
217 @Nullable TextClassification classification, @Nullable String intentAction) { in findAction()
218 if (classification == null || intentAction == null) { in findAction()
221 final ArrayList<Intent> actionIntents = getActionsIntents(classification); in findAction()
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| /external/tflite-support/tensorflow_lite_support/examples/task/vision/desktop/ |
| D | image_classifier_demo.cc | 46 "Maximum number of classification results to display.");
48 "Classification results with a confidence score below this value are "
54 "non-empty, classification results whose 'class_name' is not in this list "
59 "non-empty, classification results whose 'class_name' is in this list "
93 const Class& classification = classifications.classes(rank); in DisplayResult() local
96 classification.index()); in DisplayResult()
98 classification.score()); in DisplayResult()
99 if (classification.has_class_name()) { in DisplayResult()
101 classification.class_name()); in DisplayResult()
103 if (classification.has_display_name()) { in DisplayResult()
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| /external/tensorflow/tensorflow/lite/g3doc/examples/video_classification/ |
| D | overview.md | 1 # Video classification
5 *Video classification* is the machine learning task of identifying what a video
6 represents. A video classification model is trained on a video dataset that
11 Video classification and image classification models both use images as inputs
13 However, a video classification model also processes the spatio-temporal
18 of a video classification model on Android.
20 …rage.googleapis.com/download.tensorflow.org/models/tflite/screenshots/push-up-classification.gif"/>
27 download the starter video classification model and the supporting files. You
31 …tps://tfhub.dev/tensorflow/lite-model/movinet/a0/stream/kinetics-600/classification/tflite/int8/1"…
40 classification. Inference is performed using the
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| /external/libwebsockets/lib/drivers/button/ |
| D | README.md | 9 each button can apply its own classification regime, to allow for different
39 is the engine of the rest of the classification while any button is down. The
45 button names, and also optionally the classification regime for that button.
79 The classification regime is designed to reflect both the user interaction
115 more typically the user code wants to consume a higher-level classification of
123 click|The button activity resulted in a classification as a single-click
124 longclick|The button activity resulted in a classification as a long-click
125 doubleclick|The button activity resulted in a classification as a double-click
128 clear a second click isn't coming, it is enabled as a possible classification in
131 Typically user code is interested in, eg, a high level classification of what
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| /external/libcups/filter/ |
| D | common.c | 284 * 'WriteLabelProlog()' - Write the prolog with the classification
294 const char *classification; /* CLASSIFICATION environment variable */ in WriteLabelProlog() local
299 * First get the current classification... in WriteLabelProlog()
302 if ((classification = getenv("CLASSIFICATION")) == NULL) in WriteLabelProlog()
303 classification = ""; in WriteLabelProlog()
304 else if (strcmp(classification, "none") == 0) in WriteLabelProlog()
305 classification = ""; in WriteLabelProlog()
312 if (!classification[0] && (label == NULL || !label[0])) in WriteLabelProlog()
319 * Set the classification + page label string... in WriteLabelProlog()
323 if (strcmp(classification, "confidential") == 0) in WriteLabelProlog()
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| /external/tensorflow/tensorflow/lite/g3doc/ |
| D | _book.yaml | 103 - title: "Image classification"
111 - title: "Text classification"
145 - title: "Image classification"
150 - title: "Text classification"
153 - title: "Classification by retrieval"
161 - title: "Sound classification"
180 - title: "Image classification"
183 - title: "Video classification"
188 - title: "Sound classification"
222 - title: "Image classification"
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| /external/libtextclassifier/native/annotator/grammar/ |
| D | grammar-annotator.cc | 46 const GrammarModel_::RuleClassificationResult* classification) { in MatchSelectionBoundaries() argument
47 if (classification->capturing_group() == nullptr) { in MatchSelectionBoundaries()
58 for (int i = 0; i < classification->capturing_group()->size(); i++) { in MatchSelectionBoundaries()
64 const CapturingGroup* group = classification->capturing_group()->Get(i); in MatchSelectionBoundaries()
121 ClassificationResult classification; in InstantiateAnnotatedSpanFromDerivation() local
123 input_context, parse_tree, interpretation, &classification)) { in InstantiateAnnotatedSpanFromDerivation()
126 result->classification.push_back(classification); in InstantiateAnnotatedSpanFromDerivation()
130 // Instantiates a classification result from a rule match.
135 ClassificationResult* classification) const { in InstantiateClassificationFromDerivation()
136 classification->collection = interpretation->collection_name()->str(); in InstantiateClassificationFromDerivation()
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| /external/tensorflow/tensorflow/lite/g3doc/examples/audio_classification/ |
| D | overview.md | 1 # Audio classification
6 classification_. An audio classification model is trained to recognize various
10 your mobile applications. Learn more about audio classification using TensorFlow
13 The following image shows the output of the audio classification model on
30 to integrate audio classification models in just a few lines of code. You can
48 <a class="button button-primary" href="https://tfhub.dev/google/lite-model/yamnet/classification/tf…
65 classification model, with dynamic input size, suitable for Transfer
68 * [YAMNet/classification](https://tfhub.dev/google/lite-model/yamnet/classification/tflite/1)
135 classification:
137 * [Audio classification using TensorFlow](https://www.tensorflow.org/tutorials/audio/simple_audio)
|
| /external/executorch/examples/demo-apps/apple_ios/ExecuTorchDemo/ExecuTorchDemo/Sources/MobileNet/Test/ |
| D | MobileNetClassifierTest.swift | 51 Classification(label: "Arctic fox", confidence: 0.9), in run()
52 Classification(label: "Samoyed", confidence: 0.7), in run()
53 Classification(label: "hot pot", confidence: 0.8), in run()
63 guard let classification = try classifier?.classify(image: image).first in run() variable
68 XCTAssertEqual(classification.label, expectedClassification.label) in run()
69 XCTAssertGreaterThan(classification.confidence, expectedClassification.confidence) in run()
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/schema/predict/prediction/ |
| D | VideoClassificationPredictionResultOrBuilder.java | 82 * - segment-classification
83 * - shot-classification
84 * - one-sec-interval-classification
98 * - segment-classification
99 * - shot-classification
100 * - one-sec-interval-classification
117 * 'segment-classification' prediction type, this equals the original
135 * 'segment-classification' prediction type, this equals the original
153 * 'segment-classification' prediction type, this equals the original
170 * 'segment-classification' prediction type, this equals the original
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| /external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/schema/predict/prediction/ |
| D | VideoClassificationPredictionResultOrBuilder.java | 82 * - segment-classification
83 * - shot-classification
84 * - one-sec-interval-classification
98 * - segment-classification
99 * - shot-classification
100 * - one-sec-interval-classification
117 * 'segment-classification' prediction type, this equals the original
135 * 'segment-classification' prediction type, this equals the original
153 * 'segment-classification' prediction type, this equals the original
170 * 'segment-classification' prediction type, this equals the original
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| /external/google-cloud-java/java-automl/google-cloud-automl/src/main/java/com/google/cloud/automl/v1/ |
| D | PredictionServiceClient.java | 211 * <p>AutoML Vision Classification
223 * <p>AutoML Natural Language Classification
278 * <p>AutoML Vision Classification
311 * <p>AutoML Vision Classification
323 * <p>AutoML Natural Language Classification
378 * <p>AutoML Vision Classification
407 * <p>AutoML Vision Classification
419 * <p>AutoML Natural Language Classification
484 * <p>AutoML Vision Classification
496 * <p>AutoML Natural Language Classification
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| /external/tensorflow/tensorflow/lite/g3doc/examples/image_classification/ |
| D | overview.md | 1 # Image classification
6 classification_. An image classification model is trained to recognize various
10 your mobile applications. Learn more about image classification using TensorFlow
11 [here](https://www.tensorflow.org/tutorials/images/classification).
13 The following image shows the output of the image classification model on
31 to integrate image classification models in just a few lines of code. You can
59 During training, an image classification model is fed images and their
64 label), an image classification model can learn to predict whether new images
109 Note: Image classification can only tell you the probability that an image
151 TensorFlow Lite provides you with a variety of image classification models which
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