gcloud_beta_ml_vision_detect-document (1)
NAME
- gcloud beta ml vision detect-document - detect dense text in an image
SYNOPSIS
-
gcloud beta ml vision detect-document IMAGE_PATH [--language-hints=[LANGUAGE_HINTS,...]] [--model-version=MODEL_VERSION; default="builtin/stable"] [GCLOUD_WIDE_FLAG ...]
DESCRIPTION
(BETA) Detect dense text in an image, such as books and research reports.
Language hints can be provided to Google Cloud Vision API. In most cases, an empty value yields the best results since it enables automatic language detection. For languages based on the Latin alphabet, setting language_hints is not needed. Text detection returns an error if one or more of the specified languages is not one of the supported languages. (See cloud.google.com/vision/docs/languages To provide language hints run:
- $ gcloud beta ml vision detect-document --language-hints ja,ko
POSITIONAL ARGUMENTS
-
- IMAGE_PATH
-
The 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
-
- --language-hints=[LANGUAGE_HINTS,...]
-
List of languages to use for text detection.
- --model-version=MODEL_VERSION; default="builtin/stable"
-
The model version to use for the feature. Supported values include
"builtin/stable" and "builtin/latest".
GCLOUD WIDE FLAGS
These flags are available to all commands: --account, --configuration, --flags-file, --flatten, --format, --help, --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: cloud.google.com/vision
NOTES
This command is currently in BETA and may change without notice. These variants are also available:
- $ gcloud ml vision detect-document $ gcloud alpha ml vision detect-document