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Example 56 with AutoMlClient

use of com.google.cloud.automl.v1beta1.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...");
    }
}
Also used : Model(com.google.cloud.automl.v1beta1.Model) VideoObjectTrackingModelMetadata(com.google.cloud.automl.v1beta1.VideoObjectTrackingModelMetadata) OperationMetadata(com.google.cloud.automl.v1beta1.OperationMetadata) AutoMlClient(com.google.cloud.automl.v1beta1.AutoMlClient) LocationName(com.google.cloud.automl.v1beta1.LocationName)

Example 57 with AutoMlClient

use of com.google.cloud.automl.v1beta1.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));
    }
}
Also used : Empty(com.google.protobuf.Empty) ModelName(com.google.cloud.automl.v1.ModelName) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 58 with AutoMlClient

use of com.google.cloud.automl.v1beta1.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);
    }
}
Also used : Empty(com.google.protobuf.Empty) OutputConfig(com.google.cloud.automl.v1.OutputConfig) DatasetName(com.google.cloud.automl.v1.DatasetName) GcsDestination(com.google.cloud.automl.v1.GcsDestination) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 59 with AutoMlClient

use of com.google.cloud.automl.v1beta1.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]
    }
}
Also used : DatasetName(com.google.cloud.automl.v1.DatasetName) Dataset(com.google.cloud.automl.v1.Dataset) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Example 60 with AutoMlClient

use of com.google.cloud.automl.v1beta1.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());
    }
}
Also used : ModelName(com.google.cloud.automl.v1.ModelName) Model(com.google.cloud.automl.v1.Model) AutoMlClient(com.google.cloud.automl.v1.AutoMlClient)

Aggregations

AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)41 AutoMlClient (com.google.cloud.automl.v1beta1.AutoMlClient)31 Empty (com.google.protobuf.Empty)20 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)18 LocationName (com.google.cloud.automl.v1.LocationName)17 Model (com.google.cloud.automl.v1.Model)16 ModelName (com.google.cloud.automl.v1.ModelName)16 LocationName (com.google.cloud.automl.v1beta1.LocationName)12 ByteArrayOutputStream (java.io.ByteArrayOutputStream)12 PrintStream (java.io.PrintStream)12 Before (org.junit.Before)12 ModelName (com.google.cloud.automl.v1beta1.ModelName)11 OperationMetadata (com.google.cloud.automl.v1beta1.OperationMetadata)11 DeployModelRequest (com.google.cloud.automl.v1.DeployModelRequest)10 Dataset (com.google.cloud.automl.v1.Dataset)8 Model (com.google.cloud.automl.v1beta1.Model)8 Dataset (com.google.cloud.automl.v1beta1.Dataset)6 Operation (com.google.longrunning.Operation)6 DatasetName (com.google.cloud.automl.v1.DatasetName)5 DatasetName (com.google.cloud.automl.v1beta1.DatasetName)5