Export a model for video action recognition
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Exports a model for video action recognition using the export_model method.
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For detailed documentation that includes this code sample, see the following:
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[],null,["# Export a model for video action recognition\n\nExports a model for video action recognition using the export_model method.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Export AutoML Edge models](/vertex-ai/docs/export/export-edge-model)\n\nCode sample\n-----------\n\n### Java\n\n\nBefore trying this sample, follow the Java setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Java API\nreference documentation](/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import com.google.api.gax.longrunning.https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.longrunning.OperationFuture.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelOperationMetadata.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelRequest.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelResponse.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.GcsDestination.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelName.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html;\n import com.google.cloud.aiplatform.v1.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html;\n import java.io.IOException;\n import java.util.concurrent.ExecutionException;\n\n public class ExportModelVideoActionRecognitionSample {\n\n public static void main(String[] args)\n throws IOException, ExecutionException, InterruptedException {\n // TODO(developer): Replace these variables before running the sample.\n String project = \"PROJECT\";\n String modelId = \"MODEL_ID\";\n String gcsDestinationOutputUriPrefix = \"GCS_DESTINATION_OUTPUT_URI_PREFIX\";\n String exportFormat = \"EXPORT_FORMAT\";\n exportModelVideoActionRecognitionSample(\n project, modelId, gcsDestinationOutputUriPrefix, exportFormat);\n }\n\n static void exportModelVideoActionRecognitionSample(\n String project, String modelId, String gcsDestinationOutputUriPrefix, String exportFormat)\n throws IOException, ExecutionException, InterruptedException {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html settings =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceSettings.html.newBuilder()\n .setEndpoint(\"us-central1-aiplatform.googleapis.com:443\")\n .build();\n String location = \"us-central1\";\n\n // Initialize client that will be used to send requests. This client only needs to be created\n // once, and can be reused for multiple requests. After completing all of your requests, call\n // the \"close\" method on the client to safely clean up any remaining background resources.\n try (https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html client = https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html.create(settings)) {\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.GcsDestination.html gcsDestination =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.GcsDestination.html.newBuilder().https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.GcsDestination.Builder.html#com_google_cloud_aiplatform_v1_GcsDestination_Builder_setOutputUriPrefix_java_lang_String_(gcsDestinationOutputUriPrefix).build();\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelRequest.html.OutputConfig outputConfig =\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelRequest.html.OutputConfig.newBuilder()\n .setArtifactDestination(gcsDestination)\n .https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelRequest.OutputConfig.Builder.html#com_google_cloud_aiplatform_v1_ExportModelRequest_OutputConfig_Builder_setExportFormatId_java_lang_String_(exportFormat)\n .build();\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelName.html name = https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelName.html.of(project, location, modelId);\n OperationFuture\u003cExportModelResponse, ExportModelOperationMetadata\u003e response =\n client.https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ModelServiceClient.html#com_google_cloud_aiplatform_v1_ModelServiceClient_exportModelAsync_com_google_cloud_aiplatform_v1_ExportModelRequest_(name, outputConfig);\n\n // You can use OperationFuture.getInitialFuture to get a future representing the initial\n // response to the request, which contains information while the operation is in progress.\n System.out.format(\"Operation name: %s\\n\", response.getInitialFuture().https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.longrunning.OperationFutureImpl.html#com_google_api_gax_longrunning_OperationFutureImpl_get__().getName());\n\n // OperationFuture.get() will block until the operation is finished.\n https://cloud.google.com/java/docs/reference/google-cloud-aiplatform/latest/com.google.cloud.aiplatform.v1.ExportModelResponse.html exportModelResponse = response.https://cloud.google.com/java/docs/reference/gax/latest/com.google.api.gax.longrunning.OperationFutureImpl.html#com_google_api_gax_longrunning_OperationFutureImpl_get__();\n System.out.format(\"exportModelResponse: %s\\n\", exportModelResponse);\n }\n }\n }\n\n### Python\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from google.cloud import aiplatform\n\n\n def export_model_video_action_recognition_sample(\n project: str,\n model_id: str,\n gcs_destination_output_uri_prefix: str,\n export_format: str,\n location: str = \"us-central1\",\n api_endpoint: str = \"us-central1-aiplatform.googleapis.com\",\n timeout: int = 300,\n ):\n # The AI Platform services require regional API endpoints.\n client_options = {\"api_endpoint\": api_endpoint}\n # Initialize client that will be used to create and send requests.\n # This client only needs to be created once, and can be reused for multiple requests.\n client = aiplatform.gapic.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.html(client_options=client_options)\n gcs_destination = {\"output_uri_prefix\": gcs_destination_output_uri_prefix}\n output_config = {\n \"artifact_destination\": gcs_destination,\n \"export_format_id\": export_format,\n }\n name = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.html#google_cloud_aiplatform_v1_services_model_service_ModelServiceClient_model_path(project=project, location=location, model=model_id)\n response = client.https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform_v1.services.model_service.ModelServiceClient.html#google_cloud_aiplatform_v1_services_model_service_ModelServiceClient_export_model(name=name, output_config=output_config)\n print(\"Long running operation:\", response.operation.name)\n print(\"output_info:\", response.metadata.output_info)\n export_model_response = response.result(timeout=timeout)\n print(\"export_model_response:\", export_model_response)\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=aiplatform)."]]