質問編集履歴
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コードの記載
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https://cloud.google.com/vision/docs/pdf#vision_text_detection_pdf_gcs-python
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```python
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def async_detect_document(gcs_source_uri, gcs_destination_uri):
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"""OCR with PDF/TIFF as source files on GCS"""
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import json
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import re
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from google.cloud import vision
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from google.cloud import storage
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# Supported mime_types are: 'application/pdf' and 'image/tiff'
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mime_type = 'application/pdf'
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# How many pages should be grouped into each json output file.
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batch_size = 2
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client = vision.ImageAnnotatorClient()
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feature = vision.Feature(
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type_=vision.Feature.Type.DOCUMENT_TEXT_DETECTION)
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gcs_source = vision.GcsSource(uri=gcs_source_uri)
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input_config = vision.InputConfig(
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gcs_source=gcs_source, mime_type=mime_type)
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gcs_destination = vision.GcsDestination(uri=gcs_destination_uri)
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output_config = vision.OutputConfig(
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gcs_destination=gcs_destination, batch_size=batch_size)
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async_request = vision.AsyncAnnotateFileRequest(
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features=[feature], input_config=input_config,
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output_config=output_config)
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operation = client.async_batch_annotate_files(
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requests=[async_request])
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print('Waiting for the operation to finish.')
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operation.result(timeout=420)
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# Once the request has completed and the output has been
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# written to GCS, we can list all the output files.
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storage_client = storage.Client()
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match = re.match(r'gs://([^/]+)/(.+)', gcs_destination_uri)
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bucket_name = match.group(1)←ここでエラーになります。
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prefix = match.group(2)
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bucket = storage_client.get_bucket(bucket_name)
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# List objects with the given prefix.
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blob_list = list(bucket.list_blobs(prefix=prefix))
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print('Output files:')
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for blob in blob_list:
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print(blob.name)
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# Process the first output file from GCS.
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# Since we specified batch_size=2, the first response contains
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# the first two pages of the input file.
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output = blob_list[0]
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json_string = output.download_as_string()
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response = json.loads(json_string)
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# The actual response for the first page of the input file.
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first_page_response = response['responses'][0]
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annotation = first_page_response['fullTextAnnotation']
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# Here we print the full text from the first page.
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# The response contains more information:
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# annotation/pages/blocks/paragraphs/words/symbols
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# including confidence scores and bounding boxes
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print('Full text:\n')
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print(annotation['text'])
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```
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（エラー画面）
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1
タグの追加
test
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test
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