NAME
    gcloud alpha ml vision detect-product - detect products within an image

SYNOPSIS
    gcloud alpha ml vision detect-product IMAGE_PATH --category=[CATEGORY,...]
        (--product-set=PRODUCT_SET
          : --product-set-location=PRODUCT_SET_LOCATION)
        [--bounding-polygon=BOUNDING_POLYGON] [--filter=FILTER]
        [--max-results=MAX_RESULTS] [GCLOUD_WIDE_FLAG ...]

DESCRIPTION
    (ALPHA) detect products within an image

EXAMPLES
    To detect product in image 'gs://my-bucket/my-image.jpg' by searching in
    product set 'my-product-set', in category 'toys', run:

        $ gcloud alpha ml vision detect-product \
            gs://my-bucket/my-image.jpg --product-set='my-product-set' \
            --product-set-location=us-east1 --category='toys'

POSITIONAL ARGUMENTS
     IMAGE_PATH
        Path to the image to be analyzed. This can be either a local path or a
        URL. If you provide a local file, the contents will be sent directly to
        Google Cloud Vision. If you provide a URL, it must be in Google Cloud
        Storage format (gs://bucket/object) or an HTTP URL (http://... or
        https://...)

REQUIRED FLAGS
     --category=[CATEGORY,...]
        Product category to search in. CATEGORY must be one of: apparel,
        homegoods, toys.

     Product set resource - The product set to be searched for similar images.
     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 --product-set 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.

       --product-set=PRODUCT_SET
          ID of the product set or fully qualified identifier for the product
          set.

          To set the product-set attribute:
          ▸ provide the argument --product-set on the command line.

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

       --product-set-location=PRODUCT_SET_LOCATION
          The location of the product set.

          To set the location attribute:
          ▸ provide the argument --product-set on the command line with a
            fully specified name;
          ▸ provide the argument --product-set-location on the command line.

OPTIONAL FLAGS
     --bounding-polygon=BOUNDING_POLYGON
        Bounding polygon around the areas of interest in the image. If it is
        not specified, system discretion will be applied. A bounding polygon
        can be specified by a list of vertices or normalized vertices. 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 orginal image and range from 0 to 1. For example,
        --bounding-polygon=0.,0.,0.,0.3,0.3,0.,0.3,0.3 specifies a polygon with
        4 normalized vertices - (0., 0.), (0., 0.3), (0.3, 0.), (0.3, 0.3).
        Notice that the decimal point is needed for normalized vertex
        coordindates.

     --filter=FILTER
        Filter expression to restrict search results based on product labels.
        ANDs of ORs of key-value expressions are supported, where expressions
        within an OR must have the same key. Expressions separated by AND must
        have different keys. An '=' should be used to connect the key and
        value. For example, '(color = red OR color = blue) AND brand = Google'
        is acceptable, but not '(color = red OR brand = Google)' or 'color:
        red'.

     --max-results=MAX_RESULTS
        Maximum number of results to be provided.

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 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 detect-product

