gcloud beta ml vision product-search images create

NAME

gcloud beta ml vision product-search images create - create a reference image

SYNOPSIS

gcloud beta ml vision product-search images create (REFERENCE_IMAGE : --location=LOCATION --product=PRODUCT) --storage-location=STORAGE_LOCATION [--bounding-polygon=[normalized-vertices=NORMALIZED-VERTICES],[vertices=VERTICES]] [GCLOUD_WIDE_FLAG …]

DESCRIPTION

(BETA) create a reference image.

EXAMPLES

To create a reference image 'my-image' in product 'my-product' in the location 'us-east1' from image of 'gs://my-bucket/image.jpg' with two bounding polygons, run:

gcloud beta ml vision product-search images create my-image --location=my-location --product=my-product --storage-location=gs://my-bucket/image.jpg --flags-file=my-flags.yaml

The content of 'my-flags.yaml' is as following:

- --bounding-polygon:
    vertices:
      - {x: 0, y: 0}
      - {x: 0, y: 10}
      - {x: 10, y: 0}
      - {x: 10, y: 10}
- --bounding-polygon:
    normalized-vertices:
      - {x: 0.8, y: 0.8}
      - {x: 0.8, y: 1}
      - {x: 1, y: 0.8}
      - {x: 1, y: 1}

POSITIONAL ARGUMENTS

Reference image resource - Reference image to create. The arguments in this group can be used to specify the attributes of this 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 reference_image on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

REFERENCE_IMAGE

ID of the reference image or fully qualified identifier for the reference image.

To set the reference_image attribute:

• provide the argument reference_image on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--location=LOCATION

The location of reference image.

To set the location attribute:

• provide the argument reference_image on the command line with a fully specified name;
• provide the argument --location on the command line.

--product=PRODUCT

The ID of product.

To set the product attribute:

• provide the argument reference_image on the command line with a fully specified name;
• provide the argument --product on the command line.

REQUIRED FLAGS

--storage-location=STORAGE_LOCATION

The Google Cloud Storage URI of the reference image. The URI must start with 'gs://'.

OPTIONAL FLAGS

--bounding-polygon=[normalized-vertices=NORMALIZED-VERTICES],[vertices=VERTICES]

Bounding polygon around the areas of interest in the reference image. If this field is empty, the system will try to detect regions of interest. This flag is repeatable to specify multiple bounding polygons. At most 10 bounding polygons will be used.

A bounding polygon can be specified by a list of vertices or normalized vertices or both. A vertex (x, y) represents a 2D point in the image. x, y are integers and are in the same scale as the original image. The normalized vertex coordinates are relative to original image and range from 0 to 1.

Because of the complexity of this flag, it should be specified with the --flags-file. See $ gcloud topic flags-file for details. See the examples section for how to use --bounding-polygon in --flags-file.

GCLOUD WIDE FLAGS

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.

API REFERENCE

This command uses the vision/v1 API. The full documentation for this API can be found at: https://cloud.google.com/vision/

NOTES

This command is currently in beta and might change without notice. This variant is also available:

gcloud alpha ml vision product-search images create