CreateDataset搭配使用 AWS SDK - AWS SDK代码示例

AWS 文档 AWS SDK示例 GitHub 存储库中还有更多SDK示例。

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CreateDataset搭配使用 AWS SDK

以下代码示例演示如何使用 CreateDataset。

有关更多信息，请参阅创建数据集。

Python
SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例，学习如何在 AWS 代码示例存储库中进行设置和运行。

class Datasets:

    @staticmethod
    def create_dataset(lookoutvision_client, project_name, manifest_file, dataset_type):
        """
        Creates a new Lookout for Vision dataset

        :param lookoutvision_client: A Lookout for Vision Boto3 client.
        :param project_name: The name of the project in which you want to
                             create a dataset.
        :param bucket: The bucket that contains the manifest file.
        :param manifest_file: The path and name of the manifest file.
        :param dataset_type: The type of the dataset (train or test).
        """
        try:
            bucket, key = manifest_file.replace("s3://", "").split("/", 1)
            logger.info("Creating %s dataset type...", dataset_type)
            dataset = {
                "GroundTruthManifest": {"S3Object": {"Bucket": bucket, "Key": key}}
            }
            response = lookoutvision_client.create_dataset(
                ProjectName=project_name,
                DatasetType=dataset_type,
                DatasetSource=dataset,
            )
            logger.info("Dataset Status: %s", response["DatasetMetadata"]["Status"])
            logger.info(
                "Dataset Status Message: %s",
                response["DatasetMetadata"]["StatusMessage"],
            )
            logger.info("Dataset Type: %s", response["DatasetMetadata"]["DatasetType"])

            # Wait until either created or failed.
            finished = False
            status = ""
            dataset_description = {}
            while finished is False:
                dataset_description = lookoutvision_client.describe_dataset(
                    ProjectName=project_name, DatasetType=dataset_type
                )
                status = dataset_description["DatasetDescription"]["Status"]

                if status == "CREATE_IN_PROGRESS":
                    logger.info("Dataset creation in progress...")
                    time.sleep(2)
                elif status == "CREATE_COMPLETE":
                    logger.info("Dataset created.")
                    finished = True
                else:
                    logger.info(
                        "Dataset creation failed: %s",
                        dataset_description["DatasetDescription"]["StatusMessage"],
                    )
                    finished = True

            if status != "CREATE_COMPLETE":
                message = dataset_description["DatasetDescription"]["StatusMessage"]
                logger.exception("Couldn't create dataset: %s", message)
                raise Exception(f"Couldn't create dataset: {message}")

        except ClientError:
            logger.exception("Service error: Couldn't create dataset.")
            raise

  • 有关API详细信息，请参阅CreateDataset中的 AWS SDKPython (Boto3) API 参考。