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gcloud-help/gcloud/alpha/ml/vision/detect-landmarks
2022-03-01 04:29:52 +00:00

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NAME
gcloud alpha ml vision detect-landmarks - detect popular natural and
man-made structures within an image
SYNOPSIS
gcloud alpha ml vision detect-landmarks IMAGE_PATH
[--max-results=MAX_RESULTS]
[--model-version=MODEL_VERSION; default="builtin/stable"]
[GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(ALPHA) Google Cloud Vision will recognize landmarks in an image, such as
"Palace of Fine Arts."
EXAMPLES
To recognize landmarks in an image 'gs://my_bucket/input_file':
$ gcloud alpha ml vision detect-landmarks gs://my_bucket/input_file
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://...)
FLAGS
--max-results=MAX_RESULTS
Maximum number of results to be provided.
--model-version=MODEL_VERSION; default="builtin/stable"
Model version to use for the feature. MODEL_VERSION must be one of:
builtin/latest, builtin/stable.
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. These variants are also available:
$ gcloud ml vision detect-landmarks
$ gcloud beta ml vision detect-landmarks