停止您的 Amazon Lookout for Vision 模型 - Amazon Lookout for Vision

支援終止通知:2025 年 10 月 31 日, AWS 將停止支援 Amazon Lookout for Vision。2025 年 10 月 31 日之後,您將無法再存取 Lookout for Vision 主控台或 Lookout for Vision 資源。如需詳細資訊,請造訪此部落格文章

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

停止您的 Amazon Lookout for Vision 模型

若要停止執行中的模型,請呼叫 StopModel操作並傳遞以下內容:

  • 專案 – 包含您要停止之模型的專案名稱。

  • ModelVersion – 您要停止的模型版本。

Amazon Lookout for Vision 主控台提供範例程式碼,可用來停止模型。

注意

您需要為模型執行的時間量付費。

停止模型 (主控台)

執行下列程序中的步驟,以使用 主控台停止模型。

停止模型 (主控台)
  1. 如果您尚未這麼做,請安裝並設定 AWS CLI 和 AWS SDKs。如需詳細資訊,請參閱步驟 4:設定 AWS CLI 和 SDK AWS SDKs

  2. 開啟 Amazon Lookout for Vision 主控台,網址為 https://https://console.aws.amazon.com/lookoutvision/

  3. 選擇開始使用

  4. 在左側導覽視窗中,選擇專案

  5. 專案資源頁面上,選擇包含您要停止之執行中模型的專案。

  6. 模型 的區域中,選擇您要停止的模型。

  7. 在模型的詳細資訊頁面上,選擇使用模型,然後選擇將 API 整合到雲端

  8. AWS CLI 命令下,複製呼叫 的 AWS CLI 命令stop-model

  9. 在命令提示中,輸入您在上一步驟中複製的 stop-model 命令。如果您使用lookoutvision設定檔來取得登入資料,請新增 --profile lookoutvision-access 參數。

  10. 在主控台的左側導覽頁面中選擇模型

  11. 檢查狀態欄,了解模型的目前狀態。當狀態資料欄值為訓練完成時,模型已停止。

停止您的 Amazon Lookout for Vision 模型 (SDK)

您可以透過呼叫 StopModel 操作來停止模型。

模型可能需要一段時間才能停止。若要檢查目前狀態,請使用 DescribeModel

停止模型 (SDK)
  1. 如果您尚未這麼做,請安裝並設定 AWS CLI 和 AWS SDKs。如需詳細資訊,請參閱步驟 4:設定 AWS CLI 和 SDK AWS SDKs

  2. 使用下列範例程式碼來停止執行中的模型。

    CLI

    變更下列值:

    • project-name 至包含您想要停止之模型的專案名稱。

    • model-version 您想要停止的模型版本。

    aws lookoutvision stop-model --project-name "project name"\ --model-version model version \ --profile lookoutvision-access
    Python

    此程式碼取自 AWS 文件開發套件範例 GitHub 儲存庫。請參閱此處的完整範例。

    @staticmethod def stop_model(lookoutvision_client, project_name, model_version): """ Stops a running Lookout for Vision Model. :param lookoutvision_client: A Boto3 Lookout for Vision client. :param project_name: The name of the project that contains the version of the model that you want to stop hosting. :param model_version: The version of the model that you want to stop hosting. """ try: logger.info("Stopping model version %s for %s", model_version, project_name) response = lookoutvision_client.stop_model( ProjectName=project_name, ModelVersion=model_version ) logger.info("Stopping hosting...") status = response["Status"] finished = False # Wait until stopped or failed. while finished is False: model_description = lookoutvision_client.describe_model( ProjectName=project_name, ModelVersion=model_version ) status = model_description["ModelDescription"]["Status"] if status == "STOPPING_HOSTING": logger.info("Host stopping in progress...") time.sleep(10) continue if status == "TRAINED": logger.info("Model is no longer hosted.") finished = True continue logger.info("Failed to stop model: %s ", status) finished = True if status != "TRAINED": logger.error("Error stopping model: %s", status) raise Exception(f"Error stopping model: {status}") except ClientError: logger.exception("Couldn't stop hosting model.") raise
    Java V2

    此程式碼取自 AWS 文件開發套件範例 GitHub 儲存庫。請參閱此處的完整範例。

    /** * Stops the hosting an Amazon Lookout for Vision model. Returns when model has * stopped or if hosting fails. * * @param lfvClient An Amazon Lookout for Vision client. * @param projectName The name of the project that contains the model that you * want to stop hosting. * @modelVersion The version of the model that you want to stop hosting. * @return ModelDescription The description of the model, which includes the * model hosting status. */ public static ModelDescription stopModel(LookoutVisionClient lfvClient, String projectName, String modelVersion) throws LookoutVisionException, InterruptedException { logger.log(Level.INFO, "Stopping Model version {0} for project {1}.", new Object[] { modelVersion, projectName }); StopModelRequest stopModelRequest = StopModelRequest.builder() .projectName(projectName) .modelVersion(modelVersion) .build(); // Stop hosting the model. lfvClient.stopModel(stopModelRequest); DescribeModelRequest describeModelRequest = DescribeModelRequest.builder() .projectName(projectName) .modelVersion(modelVersion) .build(); ModelDescription modelDescription = null; boolean finished = false; // Wait until model is stopped or failure occurs. do { modelDescription = lfvClient.describeModel(describeModelRequest).modelDescription(); switch (modelDescription.status()) { case TRAINED: logger.log(Level.INFO, "Model version {0} for project {1} has stopped.", new Object[] { modelVersion, projectName }); finished = true; break; case STOPPING_HOSTING: logger.log(Level.INFO, "Model version {0} for project {1} is stopping.", new Object[] { modelVersion, projectName }); TimeUnit.SECONDS.sleep(60); break; default: logger.log(Level.SEVERE, "Unexpected error when stopping model version {0} for project {1}: {2}.", new Object[] { projectName, modelVersion, modelDescription.status() }); finished = true; break; } } while (!finished); logger.log(Level.INFO, "Finished stopping model version {0} for project {1} status: {2}", new Object[] { modelVersion, projectName, modelDescription.statusMessage() }); return modelDescription; }