gcloud ml vision suggest-crop - suggest a bounding box in an image
gcloud ml vision suggest-crop IMAGE_PATH [--aspect-ratios=[ASPECT_RATIOS,...]] [GCLOUD_WIDE_FLAG ...]
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 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).
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/
These variants are also available:
$ gcloud alpha ml vision suggest-crop
$ gcloud beta ml vision suggest-crop