use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class VideoObjectTrackingCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Set model metadata.
VideoObjectTrackingModelMetadata metadata = VideoObjectTrackingModelMetadata.newBuilder().build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoObjectTrackingModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// You can use OperationFuture.getInitialFuture to get a future representing the initial
// response to the request, which contains information while the operation is in progress.
System.out.format("Training operation name: %s%n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class DeleteModel method deleteModel.
// Delete a model
static void deleteModel(String projectId, String modelId) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the full path of the model.
ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
// Delete a model.
Empty response = client.deleteModelAsync(modelFullId).get();
System.out.println("Model deletion started...");
System.out.println(String.format("Model deleted. %s", response));
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class ExportDataset method exportDataset.
// Export a dataset to a GCS bucket
static void exportDataset(String projectId, String datasetId, String gcsUri) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(gcsUri).build();
// Export the dataset to the output URI.
OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
System.out.println("Processing export...");
Empty response = client.exportDataAsync(datasetFullId, outputConfig).get();
System.out.format("Dataset exported. %s\n", response);
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class GetDataset method getDataset.
// Get a dataset
static void getDataset(String projectId, String datasetId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
Dataset dataset = client.getDataset(datasetFullId);
// Display the dataset information
System.out.format("Dataset name: %s\n", dataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = dataset.getName().split("/");
String retrievedDatasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", retrievedDatasetId);
System.out.format("Dataset display name: %s\n", dataset.getDisplayName());
System.out.println("Dataset create time:");
System.out.format("\tseconds: %s\n", dataset.getCreateTime().getSeconds());
System.out.format("\tnanos: %s\n", dataset.getCreateTime().getNanos());
// [END automl_language_sentiment_analysis_get_dataset]
// [END automl_language_text_classification_get_dataset]
// [END automl_translate_get_dataset]
// [END automl_vision_classification_get_dataset]
// [END automl_vision_object_detection_get_dataset]
System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
// [END automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
// [END automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
// [END automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
System.out.println("Translation dataset metadata:");
System.out.format("\tSource language code: %s\n", dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
System.out.format("\tTarget language code: %s\n", dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
// [END automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
// [END automl_vision_classification_get_dataset]
// [START automl_vision_object_detection_get_dataset]
System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
// [START automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
}
}
use of com.google.cloud.automl.v1.AutoMlClient in project java-automl by googleapis.
the class GetModel method getModel.
// Get a model
static void getModel(String projectId, String modelId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the full path of the model.
ModelName modelFullId = ModelName.of(projectId, "us-central1", modelId);
Model model = client.getModel(modelFullId);
// Display the model information.
System.out.format("Model name: %s\n", model.getName());
// To get the model id, you have to parse it out of the `name` field. As models Ids are
// required for other methods.
// Name Format: `projects/{project_id}/locations/{location_id}/models/{model_id}`
String[] names = model.getName().split("/");
String retrievedModelId = names[names.length - 1];
System.out.format("Model id: %s\n", retrievedModelId);
System.out.format("Model display name: %s\n", model.getDisplayName());
System.out.println("Model create time:");
System.out.format("\tseconds: %s\n", model.getCreateTime().getSeconds());
System.out.format("\tnanos: %s\n", model.getCreateTime().getNanos());
System.out.format("Model deployment state: %s\n", model.getDeploymentState());
}
}
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