73 lines
2.1 KiB
YAML
73 lines
2.1 KiB
YAML
- release_tracks: [GA]
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help_text:
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brief: Detect dense text in an image.
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description: |
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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 text.
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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}
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language_hints: !COMMON help_text.language_hints
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examples: |
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To detect dense text in image 'gs://my_bucket/input_file':
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$ {command} gs://my_bucket/input_file
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request:
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_COMMON_: request
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static_fields:
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requests.features.type: DOCUMENT_TEXT_DETECTION
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response:
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_COMMON_: response
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arguments:
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params:
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- _COMMON_: args.image_field
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- _COMMON_: args.language_hints_field
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output:
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format: json
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- release_tracks: [ALPHA, BETA]
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help_text:
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brief: Detect dense text in an image.
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description: |
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Detect dense text in an image, such as books and research reports.
|
|
|
|
Google Cloud Vision uses OCR (Optical Character Recognition) to analyze text.
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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}
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language_hints: !COMMON help_text.language_hints
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examples: |
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To detect dense text in image 'gs://my_bucket/input_file':
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$ {command} gs://my_bucket/input_file
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request:
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_COMMON_: request
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static_fields:
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requests.features.type: DOCUMENT_TEXT_DETECTION
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response:
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_COMMON_: response
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arguments:
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params:
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- _COMMON_: args.image_field
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- _COMMON_: args.language_hints_field
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- _COMMON_: args.model_field
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output:
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format: json
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