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 Amazon Rekognition 自訂標籤模型
您可以使用主控台或 [停止專案版本](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopProjectVersion) 操作停止執行 Amazon Rekognition 自訂標籤模型。
**Topics**
+ [停止 Amazon Rekognition 自訂標籤模型 (主控台)](#rm-stop-console)
+ [停止 Amazon Rekognition 自訂標籤模型 (SDK)](#rm-stop-sdk)
## 停止 Amazon Rekognition 自訂標籤模型 (主控台)
請使用以下步驟來停止執行中的 Amazon Rekognition 自訂標籤模型。您可以從 主控台直接停止模型，或使用 主控台提供的 AWS SDK 程式碼。
**停止模型 (主控台)**
1. 開啟 Amazon Rekognition 主控台：[https://console.aws.amazon.com/rekognition/](https://console.aws.amazon.com/rekognition/)。
1. 選擇**使用自訂標籤**。
1. 選擇**開始使用**。
1. 在左側導覽視窗中，選擇 **專案**。
1. 在 **專案** 頁面中，選擇包含要停止的培訓模型的專案。
1. 在 **模型** 的區域中，選擇您要停止的模型。
1. 選擇 **使用模型** 標籤。
1.
------
#### [ Stop model using the console ]
1. 在 **啟動或停止模型** 的區域中，選擇 **停止**。
1. 在 **停止模型** 的對話框中，輸入 **停止** 以確認您要停止模型。
1. 選擇 **停止** 以停止模型。
------
#### [ Stop model using the AWS SDK ]
在 **使用模型** 的區域中，執行以下操作：
1. 選擇 **API 程式碼。**
1. 選擇 **AWS CLI** 或 **Python**。
1. 在 **停止模型** 中複製範例程式碼。
1. 使用範例程式碼來停止模型。如需詳細資訊，請參閱[停止 Amazon Rekognition 自訂標籤模型 (SDK)](#rm-stop-sdk)。
------
1. 在頁面頂端選擇您的專案名稱，以返回專案概述頁面。
1. 在 **模型** 的區域中，檢查模型的狀態。當模型狀態顯示為 **已停止** 時，則表示模型已經停止。
## 停止 Amazon Rekognition 自訂標籤模型 (SDK)
您可以透過呼叫 [停止專案版本](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopProjectVersion) API 並在 `ProjectVersionArn` 輸入參數中傳遞模型的 Amazon Resource Name (ARN) 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 `DescribeProjectVersions`。
**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 AWS SDKs](su-awscli-sdk.md)。
1. 使用下列範例程式碼來停止執行中的模型。
------
#### [ CLI ]
將 `project-version-arn` 的值變更為您要停止的模型版本的 ARN。
```
aws rekognition stop-project-version --project-version-arn "model arn" \
--profile custom-labels-access
```
------
#### [ Python ]
以下範例會停止已在執行中的模型。
請提供以下命令列參數：
+ `project_arn` — 包含您要停止的模型的專案的 ARN。
+ `model_arn` — 您要停止的模型 ARN。
```
# 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 ]
請提供以下命令列參數：
+ `project_arn` — 包含您要停止的模型的專案的 ARN。
+ `model_arn` — 您要停止的模型 ARN。
```
/*
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: " + " \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);
}
}
}
```
------