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71 lines
2.9 KiB
Text
71 lines
2.9 KiB
Text
NAME
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gcloud alpha ml vision detect-document - detect dense text in an image
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SYNOPSIS
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gcloud alpha ml vision detect-document IMAGE_PATH
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[--language-hints=[LANGUAGE_HINTS,...]]
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[--model-version=MODEL_VERSION; default="builtin/stable"]
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[GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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(ALPHA) Detect dense text in an image, such as books and research reports.
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Google Cloud Vision uses OCR (Optical Character Recognition) to analyze
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text. This is a premium feature for dense text such as books, research
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reports, and PDFs. To detect small amounts of text such as on signs, use
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detect-text instead. For more information on this feature, see the Google
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Cloud Vision documentation at https://cloud.google.com/vision/docs/.
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Language hints can be provided to Google Cloud Vision API. In most cases,
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an empty value yields the best results since it enables automatic language
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detection. For languages based on the Latin alphabet, setting
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language_hints is not needed. Text detection returns an error if one or
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more of the specified languages is not one of the supported languages. (See
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https://cloud.google.com/vision/docs/languages.) To provide language hints
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run:
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$ gcloud alpha ml vision detect-document --language-hints ja,ko
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EXAMPLES
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To detect dense text in image 'gs://my_bucket/input_file':
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$ gcloud alpha ml vision detect-document gs://my_bucket/input_file
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POSITIONAL ARGUMENTS
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IMAGE_PATH
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Path to the image to be analyzed. This can be either a local path or a
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URL. If you provide a local file, the contents will be sent directly to
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Google Cloud Vision. If you provide a URL, it must be in Google Cloud
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Storage format (gs://bucket/object) or an HTTP URL (http://... or
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https://...)
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FLAGS
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--language-hints=[LANGUAGE_HINTS,...]
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List of languages to use for text detection.
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--model-version=MODEL_VERSION; default="builtin/stable"
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Model version to use for the feature. MODEL_VERSION must be one of:
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builtin/latest, builtin/stable.
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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API REFERENCE
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This command uses the vision/v1 API. The full documentation for this API
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can be found at: https://cloud.google.com/vision/
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NOTES
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This command is currently in alpha and might change without notice. If this
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command fails with API permission errors despite specifying the correct
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project, you might be trying to access an API with an invitation-only early
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access allowlist. These variants are also available:
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$ gcloud ml vision detect-document
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$ gcloud beta ml vision detect-document
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