gcloud beta ml vision detect-logos - detect popular product logos within an image
gcloud beta ml vision detect-logos IMAGE_PATH [--max-results=MAX_RESULTS] [--model-version=MODEL_VERSION; default="builtin/stable"] [GCLOUD_WIDE_FLAG ...]
(BETA) Detect popular product logos within an image.
To detect product logos in an image 'gs://my_bucket/input_file':
$ gcloud beta ml vision detect-logos 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://...)
- --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.
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 beta and might change without notice. These variants are also available:
$ gcloud ml vision detect-logos
$ gcloud alpha ml vision detect-logos