56 lines
1.9 KiB
YAML
56 lines
1.9 KiB
YAML
- release_tracks: [ALPHA, BETA, GA]
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help_text:
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brief: Detect and transcribe text from TIFF files stored in Google Cloud Storage.
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description: |
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Detect and transcribe text from TIFF files stored in Google Cloud Storage.
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The Vision API accepts TIFF files up to 2000 pages.
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Larger files will return an error.
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examples: |
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To detect text for input TIFF file `gs://my_bucket/input_file` and store output in `gs://my_bucket/out_put_prefix`:
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$ {command} gs://my_bucket/input_file
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gs://my_bucket/out_put_prefix
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request:
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collection: vision.files
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method: asyncBatchAnnotate
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api_version: v1
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static_fields:
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requests.features.type: DOCUMENT_TEXT_DETECTION
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requests.inputConfig.mimeType: 'image/tiff'
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response:
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error:
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field: error
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code: code
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message: message
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arguments:
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params:
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- api_field: requests.inputConfig.gcsSource
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arg_name: input_file
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is_positional: true
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help_text: |
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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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processor: googlecloudsdk.command_lib.ml.vision.util:GetGcsSourceFromPath
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- api_field: requests.outputConfig.gcsDestination
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arg_name: output_path
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is_positional: true
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help_text: |
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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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processor: googlecloudsdk.command_lib.ml.vision.util:GetGcsDestinationFromPath
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- api_field: requests.outputConfig.batchSize
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arg_name: batch-size
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help_text: |
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Maximum number of response protos to put into each output JSON file on
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Google Cloud Storage.
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The valid range is [1, 100]. If not specified, the default value is 20.
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- _COMMON_: args.model_field
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output:
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format: json
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