gcloud alpha ml vision suggest-crop - suggest a bounding box in an image
gcloud alpha ml vision suggest-crop IMAGE_PATH [--aspect-ratios=[ASPECT_RATIOS,...]] [--model-version=MODEL_VERSION; default="builtin/stable"] [GCLOUD_WIDE_FLAG ...]
(ALPHA) Returns the coordinates of a bounding box that surrounds the dominant object or face in an image.
To get the coordinates of a bounding box that surrounds the dominant object or face in an image gs://my_bucket/input_file:
$ gcloud alpha ml vision suggest-crop gs://my_bucket/input_file
- 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://...)
- --aspect-ratios=[ASPECT_RATIOS,...]
A list of aspect ratio hints for the suggested bounding box. Aspect ratios may be specified either as a decimal number (ex. 1.333) or as a ratio of width to height (ex 4:3).
- --model-version=MODEL_VERSION; default="builtin/stable"
Model version to use for the feature. MODEL_VERSION must be one of: builtin/latest, builtin/stable.
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. These variants are also available:
$ gcloud ml vision suggest-crop
$ gcloud beta ml vision suggest-crop