| /aosp_15_r20/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/ |
| H A D | EvaluatedAnnotation.java | 103 * by the Model and a ground truth Annotation which the prediction matches.
114 * the Model which does not match any ground truth annotation.
124 * The EvaluatedAnnotation is false negative. It has a ground truth
149 * by the Model and a ground truth Annotation which the prediction matches.
160 * the Model which does not match any ground truth annotation.
170 * The EvaluatedAnnotation is false negative. It has a ground truth
321 * only one ground truth annotation in
324 * match any ground truth annotation of the corresponding
327 * the only ground truth annotation in
348 * only one ground truth annotation in
[all …]
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| H A D | EvaluatedAnnotationOrBuilder.java | 61 * only one ground truth annotation in
64 * match any ground truth annotation of the corresponding
67 * the only ground truth annotation in
85 * only one ground truth annotation in
88 * match any ground truth annotation of the corresponding
91 * the only ground truth annotation in
109 * only one ground truth annotation in
112 * match any ground truth annotation of the corresponding
115 * the only ground truth annotation in
133 * only one ground truth annotation in
[all …]
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| /aosp_15_r20/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/ |
| H A D | EvaluatedAnnotation.java | 102 * by the Model and a ground truth Annotation which the prediction matches.
113 * the Model which does not match any ground truth annotation.
123 * The EvaluatedAnnotation is false negative. It has a ground truth
148 * by the Model and a ground truth Annotation which the prediction matches.
159 * the Model which does not match any ground truth annotation.
169 * The EvaluatedAnnotation is false negative. It has a ground truth
318 * only one ground truth annotation in
321 * match any ground truth annotation of the corresponding
324 * the only ground truth annotation in
345 * only one ground truth annotation in
[all …]
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| H A D | EvaluatedAnnotationOrBuilder.java | 61 * only one ground truth annotation in
64 * match any ground truth annotation of the corresponding
67 * the only ground truth annotation in
85 * only one ground truth annotation in
88 * match any ground truth annotation of the corresponding
91 * the only ground truth annotation in
109 * only one ground truth annotation in
112 * match any ground truth annotation of the corresponding
115 * the only ground truth annotation in
133 * only one ground truth annotation in
[all …]
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| /aosp_15_r20/frameworks/native/libs/input/tests/ |
| H A D | MotionPredictorMetricsManager_test.cpp | 176 // Creates a MotionEvent corresponding to a stylus lift (UP) ground truth event.
240 // --- Ground-truth-generation helper functions. ---
242 // Generates numPoints ground truth points with values equal to those of the given
317 // Check that timestamps are increasing between consecutive ground truth points. in TEST()
358 // Generates TEST_MAX_NUM_PREDICTIONS predictions from the given most recent two ground truth points
448 // Generates predictions by linear extrapolation for each consecutive pair of ground truth points
450 // prediction points, where the first index is the source ground truth index, and the second is the
490 // Check positions of predictions generated from first pair of ground truth points. in TEST()
497 // Check pressures of predictions generated from first pair of ground truth points. in TEST()
514 // • Vector of ground truth points
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| /aosp_15_r20/external/rust/android-crates-io/crates/anes/src/parser/ |
| D | engine.rs | 24 Ground, enumerator
81 state: State::Ground, in default()
91 if let State::Ground = state { in set_state()
118 (State::Ground, true) => self.set_state(State::Escape), in handle_possible_esc()
121 (State::Ground, false) => provider.provide_char('\x1B'), in handle_possible_esc()
130 self.set_state(State::Ground); in handle_possible_esc()
141 self.set_state(State::Ground); in handle_possible_esc()
209 self.set_state(State::Ground); in advance_escape_state()
220 _ => self.set_state(State::Ground), in advance_escape_state()
238 self.set_state(State::Ground); in advance_escape_intermediate_state()
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| /aosp_15_r20/external/aws-sdk-java-v2/services/groundstation/src/main/resources/codegen-resources/ |
| H A D | service-2.json | 8 "serviceFullName":"AWS Ground Station",
211 …"documentation":"<note> <p> For use by AWS Ground Station Agent and shouldn't be called directly.<…
371 "documentation":"<p>Returns a list of ground stations. </p>"
435 …e> <p> For use by AWS Ground Station Agent and shouldn't be called directly.</p> </note> <p> Regis…
500 …"documentation":"<note> <p> For use by AWS Ground Station Agent and shouldn't be called directly.<…
654 …"documentation":"<p>Information about how AWS Ground Station should configure an antenna for downl…
677 …"documentation":"<p>Information about how AWS Ground Station should configure an antenna for downli…
955 …"documentation":"<p>Information about how AWS Ground Station should configure an antenna for downl…
959 …"documentation":"<p>Information about how AWS Ground Station should configure an antenna for downli…
963 …"documentation":"<p>Information about how AWS Ground Station should configure an antenna for uplink…
[all …]
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| /aosp_15_r20/external/google-cloud-java/java-datalabeling/proto-google-cloud-datalabeling-v1beta1/src/main/java/com/google/cloud/datalabeling/v1beta1/ |
| H A D | ClassificationMetrics.java | 74 * Precision-recall curve based on ground truth labels, predicted labels, and
90 * Precision-recall curve based on ground truth labels, predicted labels, and
108 * Precision-recall curve based on ground truth labels, predicted labels, and
127 * Confusion matrix of predicted labels vs. ground truth labels.
142 * Confusion matrix of predicted labels vs. ground truth labels.
159 * Confusion matrix of predicted labels vs. ground truth labels.
564 * Precision-recall curve based on ground truth labels, predicted labels, and
579 * Precision-recall curve based on ground truth labels, predicted labels, and
600 * Precision-recall curve based on ground truth labels, predicted labels, and
623 * Precision-recall curve based on ground truth labels, predicted labels, and
[all …]
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| H A D | ClassificationMetricsOrBuilder.java | 30 * Precision-recall curve based on ground truth labels, predicted labels, and
43 * Precision-recall curve based on ground truth labels, predicted labels, and
56 * Precision-recall curve based on ground truth labels, predicted labels, and
68 * Confusion matrix of predicted labels vs. ground truth labels.
80 * Confusion matrix of predicted labels vs. ground truth labels.
92 * Confusion matrix of predicted labels vs. ground truth labels.
|
| /aosp_15_r20/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/ |
| H A D | evaluated_annotation.proto | 42 // by the Model and a ground truth Annotation which the prediction matches.
46 // the Model which does not match any ground truth annotation.
49 // The EvaluatedAnnotation is false negative. It has a ground truth
60 // only one ground truth annotation in
64 // match any ground truth annotation of the corresponding
68 // the only ground truth annotation in
77 // Output only. The ground truth Annotations, i.e. the Annotations that exist
80 // For true positive, there is one and only one ground truth annotation, which
84 // For false positive, there are zero or more ground truth annotations that
89 // For false negative, there is one and only one ground truth annotation,
[all …]
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| /aosp_15_r20/external/googleapis/google/cloud/aiplatform/v1/ |
| H A D | evaluated_annotation.proto | 42 // by the Model and a ground truth Annotation which the prediction matches.
46 // the Model which does not match any ground truth annotation.
49 // The EvaluatedAnnotation is false negative. It has a ground truth
60 // only one ground truth annotation in
64 // match any ground truth annotation of the corresponding
68 // the only ground truth annotation in
77 // Output only. The ground truth Annotations, i.e. the Annotations that exist
80 // For true positive, there is one and only one ground truth annotation, which
84 // For false positive, there are zero or more ground truth annotations that
89 // For false negative, there is one and only one ground truth annotation,
[all …]
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| /aosp_15_r20/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/ |
| H A D | evaluated_annotation.proto | 42 // by the Model and a ground truth Annotation which the prediction matches.
46 // the Model which does not match any ground truth annotation.
49 // The EvaluatedAnnotation is false negative. It has a ground truth
60 // only one ground truth annotation in
64 // match any ground truth annotation of the corresponding
68 // the only ground truth annotation in
77 // Output only. The ground truth Annotations, i.e. the Annotations that exist
80 // For true positive, there is one and only one ground truth annotation, which
84 // For false positive, there are zero or more ground truth annotations that
89 // For false negative, there is one and only one ground truth annotation,
[all …]
|
| /aosp_15_r20/external/googleapis/google/cloud/aiplatform/v1beta1/ |
| H A D | evaluated_annotation.proto | 42 // by the Model and a ground truth Annotation which the prediction matches.
46 // the Model which does not match any ground truth annotation.
49 // The EvaluatedAnnotation is false negative. It has a ground truth
60 // only one ground truth annotation in
64 // match any ground truth annotation of the corresponding
68 // the only ground truth annotation in
77 // Output only. The ground truth Annotations, i.e. the Annotations that exist
80 // For true positive, there is one and only one ground truth annotation, which
84 // For false positive, there are zero or more ground truth annotations that
89 // For false negative, there is one and only one ground truth annotation,
[all …]
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| H A D | evaluation_service.proto | 243 // Required. Ground truth used to compare against the prediction.
278 // Required. Ground truth used to compare against the prediction.
313 // Required. Ground truth used to compare against the prediction.
531 // Optional. Ground truth used to compare against the prediction.
583 // Optional. Ground truth used to compare against the prediction.
632 // Optional. Ground truth used to compare against the prediction.
680 // Optional. Ground truth used to compare against the prediction.
728 // Optional. Ground truth used to compare against the prediction.
780 // Optional. Ground truth used to compare against the prediction.
829 // Optional. Ground truth used to compare against the prediction.
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| /aosp_15_r20/external/tensorflow/tensorflow/lite/tools/evaluation/tasks/imagenet_image_classification/ |
| H A D | README.md | 32 [`generate_validation_ground_truth` script](#ground-truth-label-generation) to
33 generate the ground truth labels.
43 The path to the directory containing ground truth images.
46 Path to ground truth labels file. This file should contain the same number
47 of labels as the number images in the ground truth directory. The labels are
49 [ground truth label generation](#ground-truth-label-generation) section for
116 ## Ground truth label generation
120 ground truth labels to contain the actual name of category instead of synset
121 ids. A conversion script has been provided to convert the validation ground
178 (6) Push the generated validation ground labels to device.
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| /aosp_15_r20/device/google/cuttlefish/host/commands/cvd_import_locations/unittest/ |
| D | kml_parser_test.cc | 79 "<description>Attached to the ground.</description>"
315 "<description>Attached to the ground.</description>"
329 EXPECT_EQ("Attached to the ground.", locations[i].description); in TEST()
344 EXPECT_EQ("Attached to the ground.", locations[i].description); in TEST()
397 "<description>Attached to the ground.</description>"
423 "<description>Attached to the ground.</description>"
438 EXPECT_EQ("Attached to the ground.", locations[0].description); in TEST()
457 EXPECT_EQ("Attached to the ground.", locations[0].description); in TEST()
473 "<description>Attached to the ground.</description>"
480 "<description>Attached to the ground.</description>"
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| /aosp_15_r20/frameworks/native/include/input/ |
| H A D | MotionPredictorMetricsManager.h | 87 // The timestamp of the last ground truth point when the prediction was made.
105 // pointing towards the ground truth point whose timestamp corresponds to the prediction
106 // target timestamp, originating from the preceding ground truth point.
169 // History of mMaxNumPredictions + 1 ground truth points, used to compute scale-invariant
170 // error. (Also, the last two points are used to compute the ground truth trajectory.)
173 // Predictions having a targetTimestamp after the most recent ground truth point's timestamp.
187 // Clears stored ground truth and prediction points, as well as all stored metrics for the
191 // Adds the new ground truth point to mRecentGroundTruths, removes outdated predictions from
193 // fuzzily match with the new ground truth point.
196 // Given a new prediction with targetTimestamp matching the latest ground truth point's
|
| /aosp_15_r20/external/tensorflow/tensorflow/examples/speech_commands/ |
| H A D | test_streaming_accuracy.py | 26 as a percentage of the total number of sounds listed in the ground truth file.
28 of the expected ground truth, where the time tolerance is controlled by the
33 wrong. This is also a percentage of the total number of ground truth sounds.
37 total number of ground truth sounds, though since it can be large it may go
43 ground truth.
55 --ground-truth=/tmp/streaming_test_labels.txt --verbose \
118 # Init instance of StreamingAccuracyStats and load ground truth.
184 '--ground-truth',
187 help='The ground truth file path corresponding to wav file.')
236 'to match ground truth')
|
| /aosp_15_r20/cts/apps/CameraITS/tests/scene4/ |
| H A D | test_video_aspect_ratio_and_crop.py | 80 the full-frame RAW as ground truth. In an ideal setup such ratio should be
82 RAW as ground truth to account for the possibility that the chart is not
84 The test then compares the ground truth ratio with the same ratio measured
88 ground truth. In this case, the ground truth aspect ratio is defined as 1.0
94 it will fail if the aspect ratio differs too much from the ground truth
99 ground truth image, the ratio should be very close to the ground truth
163 # For main camera: if RAW available, use it as ground truth, else JPEG
176 logging.debug('RAW available, but using JPEG as ground truth')
|
| H A D | test_aspect_ratio_and_crop.py | 177 raw as ground truth. In an ideal setup such ratio should be very close to
179 ground truth to account for the possibility that the chart is not well
181 The test then compares the ground truth ratio with the same ratio measured
185 ground truth. In this case, the ground truth aspect ratio is defined as 1.0
191 it will fail if the aspect ratio differs too much from the ground truth
196 ground truth image, the ratio should be very close to the ground truth
270 # For main camera: if RAW available, use it as ground truth, else JPEG
|
| H A D | test_preview_aspect_ratio_and_crop.py | 127 the full-frame RAW as ground truth. In an ideal setup such ratio should be
129 RAW as ground truth to account for the possibility that the chart is not well
131 The test then compares the ground truth ratio with the same ratio measured
135 ground truth. In this case, the ground truth aspect ratio is defined as 1.0
141 it will fail if the aspect ratio differs too much from the ground truth
146 ground truth image, the ratio should be very close to the ground truth
|
| /aosp_15_r20/external/google-cloud-java/java-datalabeling/proto-google-cloud-datalabeling-v1beta1/src/main/proto/google/cloud/datalabeling/v1beta1/ |
| H A D | evaluation.proto | 33 // ground truth labels. Created when an [EvaluationJob][google.cloud.datalabeling.v1beta1.Evaluatio…
57 // Output only. Metrics comparing predictions to ground truth labels.
67 // Output only. The number of items in the ground truth dataset that were used
107 // Precision-recall curve based on ground truth labels, predicted labels, and
111 // Confusion matrix of predicted labels vs. ground truth labels.
190 // Number of items predicted to have this label. (The ground truth label for
196 // ground truth label.
198 // The annotation spec of the ground truth label for this row.
|
| H A D | evaluation_job.proto | 60 // ground truth labeling, the service creates a
62 // since the last time the job ran. Human labelers provide ground truth
70 // If you have configured your job to provide your own ground truth
72 // sampled data, but it expects that you have already added ground truth
77 // model version's predictions with the ground truth labels.
140 // Required. Whether you want Data Labeling Service to provide ground truth
143 // your own ground truth labels in the evaluation job's BigQuery table, set
158 // Required. Details for how you want human reviewers to provide ground truth
208 // plan to provide your own ground truth labels, then omit this field.
|
| /aosp_15_r20/external/googleapis/google/cloud/datalabeling/v1beta1/ |
| H A D | evaluation.proto | 33 // ground truth labels. Created when an [EvaluationJob][google.cloud.datalabeling.v1beta1.Evaluatio…
57 // Output only. Metrics comparing predictions to ground truth labels.
67 // Output only. The number of items in the ground truth dataset that were used
107 // Precision-recall curve based on ground truth labels, predicted labels, and
111 // Confusion matrix of predicted labels vs. ground truth labels.
190 // Number of items predicted to have this label. (The ground truth label for
196 // ground truth label.
198 // The annotation spec of the ground truth label for this row.
|
| H A D | evaluation_job.proto | 60 // ground truth labeling, the service creates a
62 // since the last time the job ran. Human labelers provide ground truth
70 // If you have configured your job to provide your own ground truth
72 // sampled data, but it expects that you have already added ground truth
77 // model version's predictions with the ground truth labels.
140 // Required. Whether you want Data Labeling Service to provide ground truth
143 // your own ground truth labels in the evaluation job's BigQuery table, set
158 // Required. Details for how you want human reviewers to provide ground truth
208 // plan to provide your own ground truth labels, then omit this field.
|