gcloud alpha ml vision product-search product-sets import - import a list of reference images to specified product sets
gcloud alpha ml vision product-search product-sets import SOURCE --location=LOCATION [--async] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Import a list of reference images to specified product sets based on a list of image information.
To import reference images from 'gs://my-bucket/my-object.csv' into location 'us-east1', run:
$ gcloud alpha ml vision product-search product-sets import \ --location=us-east1 gs://my-bucket/my-object.csv
- SOURCE
Google Cloud Storage URI of the input csv file which must start with gs://. The format of the input csv file should be one image per line. In each line, there are 8 columns - image-uri, image-id, product-set-id, product-id, product-category, product-display-name, labels, and bounding-poly. The image-uri, product-set-id, product-id, and product-category columns are required. See https://cloud.google.com/vision/product-search/docs/csv-format for more information on the csv format and the meaning of each column.
- Location resource - Location to import to. This represents a Cloud resource.
(NOTE) Some attributes are not given arguments in this group but can be set in other ways. To set the project attribute:
- —
provide the argument --location on the command line with a fully specified name;
- —
set the property core/project;
- —
provide the argument --project on the command line.
This must be specified.
- --location=LOCATION
ID of the location or fully qualified identifier for the location. To set the location attribute:
provide the argument --location on the command line.
- --async
Return immediately, without waiting for the operation in progress to complete.
These flags are available to all commands: --access-token-file, --account, --billing-project, --configuration, --flags-file, --flatten, --format, --help, --impersonate-service-account, --log-http, --project, --quiet, --trace-token, --user-output-enabled, --verbosity.
Run $ gcloud help for details.
This command uses the vision/v1 API. The full documentation for this API can be found at: https://cloud.google.com/vision/
This command is currently in alpha and might change without notice. If this command fails with API permission errors despite specifying the correct project, you might be trying to access an API with an invitation-only early access allowlist. This variant is also available:
$ gcloud beta ml vision product-search product-sets import