Menghentikan model Label Kustom Rekognition Amazon - Rekognition

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Menghentikan model Label Kustom Rekognition Amazon

Anda dapat berhenti menjalankan model Amazon Rekognition Custom Labels dengan menggunakan konsol atau dengan menggunakan StopProject operasi Versi.

Menghentikan model Label Kustom Rekognition Amazon (Konsol)

Gunakan prosedur berikut untuk menghentikan model Amazon Rekognition Custom Labels yang sedang berjalan dengan konsol. Anda dapat menghentikan model langsung dari konsol atau menggunakan kode AWS SDK yang disediakan oleh konsol.

Untuk menghentikan model (konsol)
  1. Buka konsol Amazon Rekognition di https://console.aws.amazon.com/rekognition/.

  2. Pilih Gunakan Label Kustom.

  3. Pilih Mulai.

  4. Di panel navigasi kiri, pilih Proyek.

  5. Pada halaman Sumber daya proyek, pilih proyek yang berisi model terlatih yang ingin Anda hentikan.

  6. Di bagian Model, pilih model yang ingin Anda hentikan.

  7. Pilih tab Gunakan model.

  8. Stop model using the console
    1. Di bagian Mulai atau hentikan model, pilih Berhenti.

    2. Dalam kotak dialog Stop model, masukkan stop untuk mengonfirmasi bahwa Anda ingin menghentikan model.

    3. Pilih Berhenti untuk menghentikan model Anda.

    Stop model using the AWS SDK

    Di bagian Gunakan model Anda lakukan hal berikut:

    1. Pilih Kode API.

    2. Pilih AWS CLI atau Python.

    3. Dalam model Stop salin kode contoh.

    4. Gunakan kode contoh untuk menghentikan model Anda. Untuk informasi selengkapnya, lihat Menghentikan model Label Kustom Rekognition Amazon (SDK).

  9. Pilih nama proyek Anda di bagian atas halaman untuk kembali ke halaman ikhtisar proyek.

  10. Di bagian Model, periksa status model. Model telah berhenti ketika status model BERHENTI.

Menghentikan model Label Kustom Rekognition Amazon (SDK)

Anda menghentikan model dengan memanggil API StopProjectVersi dan meneruskan Amazon Resource Name (ARN) model dalam parameter ProjectVersionArn input.

Seorang model mungkin membutuhkan waktu beberapa saat untuk berhenti. Untuk memeriksa status saat ini, gunakanDescribeProjectVersions.

Untuk menghentikan model (SDK)
  1. Jika Anda belum melakukannya, instal dan konfigurasikan AWS CLI dan AWS SDK. Untuk informasi selengkapnya, lihat Langkah 4: Siapkan AWS CLI and AWS SDKs.

  2. Gunakan kode contoh berikut untuk menghentikan model yang sedang berjalan.

    CLI

    Ubah nilai project-version-arn ke ARN dari versi model yang ingin Anda hentikan.

    aws rekognition stop-project-version --project-version-arn "model arn" \ --profile custom-labels-access
    Python

    Contoh berikut menghentikan model yang sudah berjalan.

    Sediakan parameter baris perintah berikut:

    • project_arn— ARN dari proyek yang berisi model yang ingin Anda hentikan.

    • model_arn— ARN dari model yang ingin Anda hentikan.

    # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 """ Purpose Shows how to stop a running Amazon Lookout for Vision model. """ import argparse import logging import time import boto3 from botocore.exceptions import ClientError logger = logging.getLogger(__name__) def get_model_status(rek_client, project_arn, model_arn): """ Gets the current status of an Amazon Rekognition Custom Labels model :param rek_client: The Amazon Rekognition Custom Labels Boto3 client. :param project_name: The name of the project that you want to use. :param model_arn: The name of the model that you want the status for. """ logger.info ("Getting status for %s.", model_arn) # Extract the model version from the model arn. version_name=(model_arn.split("version/",1)[1]).rpartition('/')[0] # Get the model status. models=rek_client.describe_project_versions(ProjectArn=project_arn, VersionNames=[version_name]) for model in models['ProjectVersionDescriptions']: logger.info("Status: %s",model['StatusMessage']) return model["Status"] # No model found. logger.exception("Model %s not found.", model_arn) raise Exception("Model %s not found.", model_arn) def stop_model(rek_client, project_arn, model_arn): """ Stops a running Amazon Rekognition Custom Labels Model. :param rek_client: The Amazon Rekognition Custom Labels Boto3 client. :param project_arn: The ARN of the project that you want to stop running. :param model_arn: The ARN of the model (ProjectVersion) that you want to stop running. """ logger.info("Stopping model: %s", model_arn) try: # Stop the model. response=rek_client.stop_project_version(ProjectVersionArn=model_arn) logger.info("Status: %s", response['Status']) # stops when hosting has stopped or failure. status = "" finished = False while finished is False: status=get_model_status(rek_client, project_arn, model_arn) if status == "STOPPING": logger.info("Model stopping in progress...") time.sleep(10) continue if status == "STOPPED": logger.info("Model is not running.") finished = True continue error_message = f"Error stopping model. Unexepected state: {status}" logger.exception(error_message) raise Exception(error_message) logger.info("finished. Status %s", status) return status except ClientError as err: logger.exception("Couldn't stop model - %s: %s", model_arn,err.response['Error']['Message']) raise def add_arguments(parser): """ Adds command line arguments to the parser. :param parser: The command line parser. """ parser.add_argument( "project_arn", help="The ARN of the project that contains the model that you want to stop." ) parser.add_argument( "model_arn", help="The ARN of the model that you want to stop." ) def main(): logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") try: # Get command line arguments. parser = argparse.ArgumentParser(usage=argparse.SUPPRESS) add_arguments(parser) args = parser.parse_args() # Stop the model. session = boto3.Session(profile_name='custom-labels-access') rekognition_client = session.client("rekognition") status=stop_model(rekognition_client, args.project_arn, args.model_arn) print(f"Finished stopping model: {args.model_arn}") print(f"Status: {status}") except ClientError as err: logger.exception("Problem stopping model:%s",err) print(f"Failed to stop model: {err}") except Exception as err: logger.exception("Problem stopping model:%s", err) print(f"Failed to stop model: {err}") if __name__ == "__main__": main()
    Java V2

    Sediakan parameter baris perintah berikut:

    • project_arn— ARN dari proyek yang berisi model yang ingin Anda hentikan.

    • model_arn— ARN dari model yang ingin Anda hentikan.

    /* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0 */ package com.example.rekognition; import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider; import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.rekognition.RekognitionClient; import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsRequest; import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsResponse; import software.amazon.awssdk.services.rekognition.model.ProjectVersionDescription; import software.amazon.awssdk.services.rekognition.model.ProjectVersionStatus; import software.amazon.awssdk.services.rekognition.model.RekognitionException; import software.amazon.awssdk.services.rekognition.model.StopProjectVersionRequest; import software.amazon.awssdk.services.rekognition.model.StopProjectVersionResponse; import java.util.logging.Level; import java.util.logging.Logger; public class StopModel { public static final Logger logger = Logger.getLogger(StopModel.class.getName()); public static int findForwardSlash(String modelArn, int n) { int start = modelArn.indexOf('/'); while (start >= 0 && n > 1) { start = modelArn.indexOf('/', start + 1); n -= 1; } return start; } public static void stopMyModel(RekognitionClient rekClient, String projectArn, String modelArn) throws Exception, RekognitionException { try { logger.log(Level.INFO, "Stopping {0}", modelArn); StopProjectVersionRequest stopProjectVersionRequest = StopProjectVersionRequest.builder() .projectVersionArn(modelArn).build(); StopProjectVersionResponse response = rekClient.stopProjectVersion(stopProjectVersionRequest); logger.log(Level.INFO, "Status: {0}", response.statusAsString()); // Get the model version int start = findForwardSlash(modelArn, 3) + 1; int end = findForwardSlash(modelArn, 4); String versionName = modelArn.substring(start, end); // wait until model stops DescribeProjectVersionsRequest describeProjectVersionsRequest = DescribeProjectVersionsRequest.builder() .projectArn(projectArn).versionNames(versionName).build(); boolean stopped = false; // Wait until create finishes do { DescribeProjectVersionsResponse describeProjectVersionsResponse = rekClient .describeProjectVersions(describeProjectVersionsRequest); for (ProjectVersionDescription projectVersionDescription : describeProjectVersionsResponse .projectVersionDescriptions()) { ProjectVersionStatus status = projectVersionDescription.status(); logger.log(Level.INFO, "stopping model: {0} ", modelArn); switch (status) { case STOPPED: logger.log(Level.INFO, "Model stopped"); stopped = true; break; case STOPPING: Thread.sleep(5000); break; case FAILED: String error = "Model stopping failed: " + projectVersionDescription.statusAsString() + " " + projectVersionDescription.statusMessage() + " " + modelArn; logger.log(Level.SEVERE, error); throw new Exception(error); default: String unexpectedError = "Unexpected stopping state: " + projectVersionDescription.statusAsString() + " " + projectVersionDescription.statusMessage() + " " + modelArn; logger.log(Level.SEVERE, unexpectedError); throw new Exception(unexpectedError); } } } while (stopped == false); } catch (RekognitionException e) { logger.log(Level.SEVERE, "Could not stop model: {0}", e.getMessage()); throw e; } } public static void main(String[] args) { String modelArn = null; String projectArn = null; final String USAGE = "\n" + "Usage: " + "<project_name> <version_name>\n\n" + "Where:\n" + " project_arn - The ARN of the project that contains the model that you want to stop. \n\n" + " model_arn - The ARN of the model version that you want to stop.\n\n"; if (args.length != 2) { System.out.println(USAGE); System.exit(1); } projectArn = args[0]; modelArn = args[1]; try { // Get the Rekognition client. RekognitionClient rekClient = RekognitionClient.builder() .credentialsProvider(ProfileCredentialsProvider.create("custom-labels-access")) .region(Region.US_WEST_2) .build(); // Stop model stopMyModel(rekClient, projectArn, modelArn); System.out.println(String.format("Model stopped: %s", modelArn)); rekClient.close(); } catch (RekognitionException rekError) { logger.log(Level.SEVERE, "Rekognition client error: {0}", rekError.getMessage()); System.exit(1); } catch (Exception rekError) { logger.log(Level.SEVERE, "Error: {0}", rekError.getMessage()); System.exit(1); } } }