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ExportModelVideoActionRecognitionSample.java
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/*
* Copyright 2020 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package aiplatform;
// [START aiplatform_export_model_video_action_recognition_sample]
import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1.ExportModelOperationMetadata;
import com.google.cloud.aiplatform.v1.ExportModelRequest;
import com.google.cloud.aiplatform.v1.ExportModelResponse;
import com.google.cloud.aiplatform.v1.GcsDestination;
import com.google.cloud.aiplatform.v1.ModelName;
import com.google.cloud.aiplatform.v1.ModelServiceClient;
import com.google.cloud.aiplatform.v1.ModelServiceSettings;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
public class ExportModelVideoActionRecognitionSample {
public static void main(String[] args)
throws IOException, ExecutionException, InterruptedException {
// TODO(developer): Replace these variables before running the sample.
String project = "PROJECT";
String modelId = "MODEL_ID";
String gcsDestinationOutputUriPrefix = "GCS_DESTINATION_OUTPUT_URI_PREFIX";
String exportFormat = "EXPORT_FORMAT";
exportModelVideoActionRecognitionSample(
project, modelId, gcsDestinationOutputUriPrefix, exportFormat);
}
static void exportModelVideoActionRecognitionSample(
String project, String modelId, String gcsDestinationOutputUriPrefix, String exportFormat)
throws IOException, ExecutionException, InterruptedException {
ModelServiceSettings settings =
ModelServiceSettings.newBuilder()
.setEndpoint("us-central1-aiplatform.googleapis.com:443")
.build();
String location = "us-central1";
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests. After completing all of your requests, call
// the "close" method on the client to safely clean up any remaining background resources.
try (ModelServiceClient client = ModelServiceClient.create(settings)) {
GcsDestination gcsDestination =
GcsDestination.newBuilder().setOutputUriPrefix(gcsDestinationOutputUriPrefix).build();
ExportModelRequest.OutputConfig outputConfig =
ExportModelRequest.OutputConfig.newBuilder()
.setArtifactDestination(gcsDestination)
.setExportFormatId(exportFormat)
.build();
ModelName name = ModelName.of(project, location, modelId);
OperationFuture<ExportModelResponse, ExportModelOperationMetadata> response =
client.exportModelAsync(name, outputConfig);
// 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("Operation name: %s\n", response.getInitialFuture().get().getName());
// OperationFuture.get() will block until the operation is finished.
ExportModelResponse exportModelResponse = response.get();
System.out.format("exportModelResponse: %s\n", exportModelResponse);
}
}
}
// [END aiplatform_export_model_video_action_recognition_sample]