Adicionar imagens ao seu conjunto de dados

Altere os seguintes valores:

aws lookoutvision update-dataset-entries\
    --project-name project\
    --dataset-type train or test\
    --changes fileb://manifest file \
    --profile lookoutvision-access

Esse código foi retirado do GitHub repositório de exemplos do SDK de AWS documentação. Veja o exemplo completo aqui.

    @staticmethod
    def update_dataset_entries(lookoutvision_client, project_name, dataset_type, updates_file):
        """
        Adds dataset entries to an Amazon Lookout for Vision dataset.    
        :param lookoutvision_client: The Amazon Rekognition Custom Labels Boto3 client.
        :param project_name: The project that contains the dataset that you want to update.
        :param dataset_type: The type of the dataset that you want to update (train or test).
        :param updates_file: The manifest file of JSON Lines that contains the updates. 
        """

        try:
            status = ""
            status_message = ""
            manifest_file = ""

            # Update dataset entries
            logger.info(f"""Updating {dataset_type} dataset for project {project_name}
with entries from {updates_file}.""")

            with open(updates_file) as f:
                manifest_file = f.read()

            lookoutvision_client.update_dataset_entries(
                ProjectName=project_name,
                DatasetType=dataset_type,
                Changes=manifest_file,
            )

            finished = False
            while finished == False:

                dataset = lookoutvision_client.describe_dataset(ProjectName=project_name,
                                                                DatasetType=dataset_type)

                status = dataset['DatasetDescription']['Status']
                status_message = dataset['DatasetDescription']['StatusMessage']

                if status == "UPDATE_IN_PROGRESS":
                    logger.info(
                        (f"Updating {dataset_type} dataset for project {project_name}."))
                    time.sleep(5)
                    continue

                if status == "UPDATE_FAILED_ROLLBACK_IN_PROGRESS":
                    logger.info(
                        (f"Update failed, rolling back {dataset_type} dataset for project {project_name}."))
                    time.sleep(5)
                    continue

                if status == "UPDATE_COMPLETE":
                    logger.info(
                        f"Dataset updated: {status} : {status_message} : {dataset_type} dataset for project {project_name}.")
                    finished = True
                    continue

                if status == "UPDATE_FAILED_ROLLBACK_COMPLETE":
                    logger.info(
                        f"Rollback complated after update failure: {status} : {status_message} : {dataset_type} dataset for project {project_name}.")
                    finished = True
                    continue

                logger.exception(
                    f"Failed. Unexpected state for dataset update: {status} : {status_message} : {dataset_type} dataset for project {project_name}.")
                raise Exception(
                    f"Failed. Unexpected state for dataset update: {status} : {status_message} :{dataset_type} dataset for project {project_name}.")

            logger.info(f"Added entries to dataset.")

            return status, status_message

        except ClientError as err:
            logger.exception(
                f"Couldn't update dataset: {err.response['Error']['Message']}")
            raise

Esse código foi retirado do GitHub repositório de exemplos do SDK de AWS documentação. Veja o exemplo completo aqui.

/**
 * Updates an Amazon Lookout for Vision dataset from a manifest file.
 * Returns after Lookout for Vision updates the dataset.
 * 
 * @param lfvClient    An Amazon Lookout for Vision client.
 * @param projectName  The name of the project in which you want to update a
 *                     dataset.
 * @param datasetType  The type of the dataset that you want to update (train or
 *                     test).
 * @param manifestFile The name and location of a local manifest file that you want to
 * use to update the dataset.
 * @return DatasetStatus The status of the updated dataset.
 */

public static DatasetStatus updateDatasetEntries(LookoutVisionClient lfvClient, String projectName,
                String datasetType, String updateFile) throws FileNotFoundException, LookoutVisionException,
                InterruptedException {

        logger.log(Level.INFO, "Updating {0} dataset for project {1}",
                        new Object[] { datasetType, projectName });

        InputStream sourceStream = new FileInputStream(updateFile);
        SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);

        UpdateDatasetEntriesRequest updateDatasetEntriesRequest = UpdateDatasetEntriesRequest.builder()
                        .projectName(projectName)
                        .datasetType(datasetType)
                        .changes(sourceBytes)
                        .build();

        lfvClient.updateDatasetEntries(updateDatasetEntriesRequest);

        boolean finished = false;
        DatasetStatus status = null;

        // Wait until update completes.

        do {

                DescribeDatasetRequest describeDatasetRequest = DescribeDatasetRequest.builder()
                                .projectName(projectName)
                                .datasetType(datasetType)
                                .build();
                DescribeDatasetResponse describeDatasetResponse = lfvClient
                                .describeDataset(describeDatasetRequest);

                DatasetDescription datasetDescription = describeDatasetResponse.datasetDescription();

                status = datasetDescription.status();

                switch (status) {

                        case UPDATE_COMPLETE:
                                logger.log(Level.INFO, "{0} Dataset updated for project {1}.",
                                                new Object[] { datasetType, projectName });
                                finished = true;
                                break;

                        case UPDATE_IN_PROGRESS:

                                logger.log(Level.INFO, "{0} Dataset update for project {1} in progress.",
                                                new Object[] { datasetType, projectName });
                                TimeUnit.SECONDS.sleep(5);

                                break;

                        case UPDATE_FAILED_ROLLBACK_IN_PROGRESS:
                                logger.log(Level.SEVERE,
                                                "{0} Dataset update failed for project {1}. Rolling back",
                                                new Object[] { datasetType, projectName });

                                TimeUnit.SECONDS.sleep(5);

                                break;

                        case UPDATE_FAILED_ROLLBACK_COMPLETE:
                                logger.log(Level.SEVERE,
                                                "{0} Dataset update failed for project {1}. Rollback completed.",
                                                new Object[] { datasetType, projectName });
                                finished = true;
                                break;

                        default:
                                logger.log(Level.SEVERE,
                                                "{0} Dataset update failed for project {1}. Unexpected error returned.",
                                                new Object[] { datasetType, projectName });
                                finished = true;

                }

        } while (!finished);

        return status;

}