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vision_batch_annotate_files.py
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vision_batch_annotate_files.py
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# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# [START vision_batch_annotate_files]
import io
from google.cloud import vision_v1
def sample_batch_annotate_files(file_path="path/to/your/document.pdf"):
"""Perform batch file annotation."""
client = vision_v1.ImageAnnotatorClient()
# Supported mime_type: application/pdf, image/tiff, image/gif
mime_type = "application/pdf"
with io.open(file_path, "rb") as f:
content = f.read()
input_config = {"mime_type": mime_type, "content": content}
features = [{"type_": vision_v1.Feature.Type.DOCUMENT_TEXT_DETECTION}]
# The service can process up to 5 pages per document file. Here we specify
# the first, second, and last page of the document to be processed.
pages = [1, 2, -1]
requests = [{"input_config": input_config, "features": features, "pages": pages}]
response = client.batch_annotate_files(requests=requests)
for image_response in response.responses[0].responses:
print(u"Full text: {}".format(image_response.full_text_annotation.text))
for page in image_response.full_text_annotation.pages:
for block in page.blocks:
print(u"\nBlock confidence: {}".format(block.confidence))
for par in block.paragraphs:
print(u"\tParagraph confidence: {}".format(par.confidence))
for word in par.words:
print(u"\t\tWord confidence: {}".format(word.confidence))
for symbol in word.symbols:
print(
u"\t\t\tSymbol: {}, (confidence: {})".format(
symbol.text, symbol.confidence
)
)
# [END vision_batch_annotate_files]