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53 lines
1.8 KiB
Text
53 lines
1.8 KiB
Text
NAME
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gcloud beta ml vision detect-logos - detect popular product logos within an
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image
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SYNOPSIS
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gcloud beta ml vision detect-logos IMAGE_PATH [--max-results=MAX_RESULTS]
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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 popular product logos within an image.
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EXAMPLES
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To detect product logos in an image 'gs://my_bucket/input_file':
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$ gcloud beta ml vision detect-logos 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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--max-results=MAX_RESULTS
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Maximum number of results to be provided.
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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-logos
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$ gcloud alpha ml vision detect-logos
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