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Vision API OCR PDF/TIFF sample #1420

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merged 12 commits into from
Apr 4, 2018
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Vision API OCR PDF/TIFF sample #1420

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81249db
add docpdf sample
dizcology Mar 21, 2018
c375496
import order
dizcology Mar 26, 2018
1e3c941
list blobs
dizcology Mar 27, 2018
a2cd808
filename change
dizcology Mar 27, 2018
c3fa664
add the renamed files
dizcology Mar 27, 2018
8d4274c
parse json string to AnnotateFileResponse message
dizcology Mar 29, 2018
e6803e2
show more of the response
dizcology Mar 29, 2018
da70df0
simplify response processing to better focus on how to make the request
dizcology Mar 31, 2018
1827636
fix typo
dizcology Apr 3, 2018
fb688ce
linter
dizcology Apr 3, 2018
2a1c5b3
linter
dizcology Apr 3, 2018
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linter
dizcology Apr 3, 2018
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31 changes: 7 additions & 24 deletions vision/cloud-client/detect/detect_pdf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
Example:
python detect_pdf.py \
--gcs-source-uri gs://python-docs-samples-tests/HodgeConj.pdf \
--gcs-destination-uri gs://BUCKET_NAME/OCR/
--gcs-destination-uri gs://BUCKET_NAME/PREFIX/
"""

import argparse
Expand Down Expand Up @@ -90,31 +90,14 @@ def async_detect_document(gcs_source_uri, gcs_destination_uri):

# The actual response for the first page of the input file.
first_page_response = response.responses[0]
annotation = first_page_response.full_text_annotation

# Print the full text from the first page.
# Here we print the full text from the first page.
# The response contains more information:
# annotation/pages/blocks/paragraphs/words/symbols
# including conficence score and bounding boxes
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confidence

print(u'Full text:\n{}'.format(
first_page_response.full_text_annotation.text))

# The response additionally includes individual detected symbol's
# confidence and bounding box.
for page in first_page_response.full_text_annotation.pages:
for block in page.blocks:
print('\nBlock confidence: {}\n'.format(block.confidence))

for paragraph in block.paragraphs:
print('Paragraph confidence: {}'.format(
paragraph.confidence))

for word in paragraph.words:
word_text = ''.join([
symbol.text for symbol in word.symbols
])
print(u'Word text: {} (confidence: {})'.format(
word_text, word.confidence))

for symbol in word.symbols:
print(u'\tSymbol: {} (confidence: {})'.format(
symbol.text, symbol.confidence))
annotation.text))
# [END vision_async_detect_document_ocr]


Expand Down