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63 lines
2.2 KiB
Text
63 lines
2.2 KiB
Text
NAME
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gcloud beta ml vision detect-text-pdf - detect and transcribe text from PDF
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files stored in Google Cloud Storage
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SYNOPSIS
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gcloud beta ml vision detect-text-pdf INPUT_FILE OUTPUT_PATH
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[--batch-size=BATCH_SIZE]
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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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(BETA) Detect and transcribe text from PDF files stored in Google Cloud
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Storage.
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The Vision API accepts PDF files up to 2000 pages. Larger files will return
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an error.
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EXAMPLES
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To detect text for input PDF file 'gs://my_bucket/input_file' and store
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output in 'gs://my_bucket/out_put_prefix':
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$ gcloud beta ml vision detect-text-pdf gs://my_bucket/input_file \
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gs://my_bucket/out_put_prefix
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POSITIONAL ARGUMENTS
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INPUT_FILE
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Google Cloud Storage location to read the input from. It must be in
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Google Cloud Storage format (gs://bucket/object)
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OUTPUT_PATH
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Google Cloud Storage location to store the output file. It must be in
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Google Cloud Storage format (gs://bucket/object)
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FLAGS
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--batch-size=BATCH_SIZE
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Maximum number of response protos to put into each output JSON file on
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Google Cloud Storage. The valid range is [1, 100]. If not specified,
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the default value is 20.
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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 beta and might change without notice. These
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variants are also available:
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$ gcloud ml vision detect-text-pdf
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$ gcloud alpha ml vision detect-text-pdf
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