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# 删除 Amazon Rekognition Custom Labels 模型
您可以使用亚马逊 Rekognition 自定义标签控制台或使用 API 删除模型。[DeleteProjectVersion](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteProjectVersion)无法删除正在运行或正在训练的模型。要停止正在运行的模型，请使用 [StopProjectVersion](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopProjectVersion)API。有关更多信息，请参阅 [停止 Amazon Rekognition Custom Labels 模型 (SDK)](rm-stop.md#rm-stop-sdk)。如果模型正在训练，请等到模型训练完成后再将其删除。
已删除的模型无法取消删除。
**Topics**
+ [删除 Amazon Rekognition Custom Labels 模型（控制台）](#tm-delete-model-console)
+ [删除 Amazon Rekognition Custom Labels 模型 (SDK)](#tm-delete-model-sdk)
## 删除 Amazon Rekognition Custom Labels 模型（控制台）
以下过程说明了如何从项目详细信息页面删除模型。也可以从模型详细信息页面删除模型。
**删除模型（控制台）**
1. 打开亚马逊 Rekognition 控制台，网址为[https://console.aws.amazon.com/rekognition/](https://console.aws.amazon.com/rekognition/)。
1. 选择**使用自定义标签**。
1. 选择**开始**。
1. 在左侧导航窗格中，选择**项目**。
1. 选择包含要删除的模型的项目。随后将打开项目详细信息页面。
1. 在**模型**部分中，选择要删除的模型。
**注意**
如果无法选择模型，则表示该模型要么正在运行，要么正在训练，因此无法删除。查看**状态**字段，然后在停止正在运行的模型后重试，或者等到训练完成。
1. 选择**删除模型**，随后将显示**删除模型**对话框。
1. 输入 **delete** 以确认删除。
1. 选择**删除**以删除模型。删除模型可能需要一段时间才能完成。
**注意**
如果在模型删除过程中**关闭**对话框，模型仍会被删除。
## 删除 Amazon Rekognition Custom Labels 模型 (SDK)
您可以通过[DeleteProjectVersion](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteProjectVersion)调用并提供要删除的模型的亚马逊资源名称 (ARN) 来删除 Amazon Rekognition 自定义标签模型。可以从 Amazon Rekognition Custom Labels 控制台中的模型详细信息页面上的**使用您的模型**部分获取模型的 ARN。或者，请致电[DescribeProjectVersions](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeProjectVersions)并提供以下信息。
+ 与模型关联的项目的 ARN (`ProjectArn`)。
+ 模型的版本名称 (`VersionNames`)。
模型 ARN 是[ProjectVersionDescription](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ProjectVersionDescription)对象中的`ProjectVersionArn`字段，来自响应。`DescribeProjectVersions`
无法删除正在运行或正在训练的模型。要确定模型是在运行还是在训练，请调用[DescribeProjectVersions](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeProjectVersions)并检查模型[ProjectVersionDescription](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ProjectVersionDescription)对象的`Status`字段。要停止正在运行的模型，请使用 [StopProjectVersion](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_StopProjectVersion)API。有关更多信息，请参阅 [停止 Amazon Rekognition Custom Labels 模型 (SDK)](rm-stop.md#rm-stop-sdk)。必须等到模型完成训练后才能将其删除。
**删除模型 (SDK)**
1. 如果您尚未这样做，请安装并配置 AWS CLI 和 AWS SDKs。有关更多信息，请参阅 [第 4 步：设置 AWS CLI and AWS 软件开发工具包](su-awscli-sdk.md)。
1. 使用以下代码删除模型。
------
#### [ AWS CLI ]
将 `project-version-arn` 的值更改为要删除的项目的名称。
```
aws rekognition delete-project-version --project-version-arn {{model_arn}} \
--profile custom-labels-access
```
------
#### [ Python ]
提供以下命令行参数：
+ `project_arn`：包含要删除的模型的项目的 ARN。
+ `model_arn`：要删除的模型版本的 ARN。
```
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""
Purpose
Shows how to delete an existing Amazon Rekognition Custom Labels model.
"""
import argparse
import logging
import time
import boto3
from botocore.exceptions import ClientError
logger = logging.getLogger(__name__)
def find_forward_slash(input_string, n):
"""
Returns the location of '/' after n number of occurences.
:param input_string: The string you want to search
: n: the occurence that you want to find.
"""
position = input_string.find('/')
while position >= 0 and n > 1:
position = input_string.find('/', position + 1)
n -= 1
return position
def delete_model(rek_client, project_arn, model_arn):
"""
Deletes an Amazon Rekognition Custom Labels model.
:param rek_client: The Amazon Rekognition Custom Labels Boto3 client.
:param model_arn: The ARN of the model version that you want to delete.
"""
try:
# Delete the model
logger.info("Deleting dataset: {%s}", model_arn)
rek_client.delete_project_version(ProjectVersionArn=model_arn)
# Get the model version name
start = find_forward_slash(model_arn, 3) + 1
end = find_forward_slash(model_arn, 4)
version_name = model_arn[start:end]
deleted = False
# model might not be deleted yet, so wait deletion finishes.
while deleted is False:
describe_response = rek_client.describe_project_versions(ProjectArn=project_arn,
VersionNames=[version_name])
if len(describe_response['ProjectVersionDescriptions']) == 0:
deleted = True
else:
logger.info("Waiting for model deletion %s", model_arn)
time.sleep(5)
logger.info("model deleted: %s", model_arn)
return True
except ClientError as err:
logger.exception("Couldn't delete 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 delete."
)
parser.add_argument(
"model_arn", help="The ARN of the model version that you want to delete."
)
def confirm_model_deletion(model_arn):
"""
Confirms deletion of the model. Returns True if delete entered.
:param model_arn: The ARN of the model that you want to delete.
"""
print(f"Are you sure you wany to delete model {model_arn} ?\n", model_arn)
start = input("Enter delete to delete your model: ")
if start == "delete":
return True
else:
return False
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()
if confirm_model_deletion(args.model_arn) is True:
print(f"Deleting model: {args.model_arn}")
# Delete the model.
session = boto3.Session(profile_name='custom-labels-access')
rekognition_client = session.client("rekognition")
delete_model(rekognition_client,
args.project_arn,
args.model_arn)
print(f"Finished deleting model: {args.model_arn}")
else:
print(f"Not deleting model {args.model_arn}")
except ClientError as err:
print(f"Problem deleting model: {err}")
if __name__ == "__main__":
main()
```
------
#### [ Java V2 ]
+ `project_arn`：包含要删除的模型的项目的 ARN。
+ `model_arn`：要删除的模型版本的 ARN。
```
//Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
//PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-custom-labels-developer-guide/blob/master/LICENSE-SAMPLECODE.)
import java.net.URI;
import java.util.logging.Level;
import java.util.logging.Logger;
import software.amazon.awssdk.services.rekognition.RekognitionClient;
import software.amazon.awssdk.services.rekognition.model.DeleteProjectVersionRequest;
import software.amazon.awssdk.services.rekognition.model.DeleteProjectVersionResponse;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsRequest;
import software.amazon.awssdk.services.rekognition.model.DescribeProjectVersionsResponse;
import software.amazon.awssdk.services.rekognition.model.RekognitionException;
public class DeleteModel {
public static final Logger logger = Logger.getLogger(DeleteModel.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 deleteMyModel(RekognitionClient rekClient, String projectArn, String modelArn)
throws InterruptedException {
try {
logger.log(Level.INFO, "Deleting model: {0}", projectArn);
// Delete the model
DeleteProjectVersionRequest deleteProjectVersionRequest = DeleteProjectVersionRequest.builder()
.projectVersionArn(modelArn).build();
DeleteProjectVersionResponse response =
rekClient.deleteProjectVersion(deleteProjectVersionRequest);
logger.log(Level.INFO, "Status: {0}", response.status());
// Get the model version
int start = findForwardSlash(modelArn, 3) + 1;
int end = findForwardSlash(modelArn, 4);
String versionName = modelArn.substring(start, end);
Boolean deleted = false;
DescribeProjectVersionsRequest describeProjectVersionsRequest = DescribeProjectVersionsRequest.builder()
.projectArn(projectArn).versionNames(versionName).build();
// Wait until model is deleted.
do {
DescribeProjectVersionsResponse describeProjectVersionsResponse = rekClient
.describeProjectVersions(describeProjectVersionsRequest);
if (describeProjectVersionsResponse.projectVersionDescriptions().size()==0) {
logger.log(Level.INFO, "Waiting for model deletion: {0}", modelArn);
Thread.sleep(5000);
} else {
deleted = true;
logger.log(Level.INFO, "Model deleted: {0}", modelArn);
}
} while (Boolean.FALSE.equals(deleted));
logger.log(Level.INFO, "Model deleted: {0}", modelArn);
} catch (
RekognitionException e) {
logger.log(Level.SEVERE, "Client error occurred: {0}", e.getMessage());
throw e;
}
}
public static void main(String args[]) {
final String USAGE = "\n" + "Usage: " + " \n\n" + "Where:\n"
+ " project_arn - The ARN of the project that contains the model that you want to delete.\n\n"
+ " model_version - The ARN of the model that you want to delete.\n\n";
if (args.length != 2) {
System.out.println(USAGE);
System.exit(1);
}
String projectArn = args[0];
String modelVersion = args[1];
try {
RekognitionClient rekClient = RekognitionClient.builder().build();
// Delete the model
deleteMyModel(rekClient, projectArn, modelVersion);
System.out.println(String.format("model deleted: %s", modelVersion));
rekClient.close();
} catch (RekognitionException rekError) {
logger.log(Level.SEVERE, "Rekognition client error: {0}", rekError.getMessage());
System.exit(1);
}
catch (InterruptedException intError) {
logger.log(Level.SEVERE, "Exception while sleeping: {0}", intError.getMessage());
System.exit(1);
}
}
}
```
------