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sample_analyze_addon_barcodes.py
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sample_analyze_addon_barcodes.py
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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_analyze_addon_barcodes.py
DESCRIPTION:
This sample demonstrates how to extract all identified barcodes using the
add-on 'BARCODES' capability.
Add-on capabilities are available within all models except for the Business card
model. This sample uses Layout model to demonstrate.
Add-on capabilities accept a list of strings containing values from the `AnalysisFeature`
enum class. For more information, see:
https://learn.microsoft.com/en-us/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer.analysisfeature?view=azure-python.
The following capabilities are free:
- BARCODES
- LANGUAGES
The following capabilities will incur additional charges:
- FORMULAS
- OCR_HIGH_RESOLUTION
- STYLE_FONT
See pricing: https://azure.microsoft.com/pricing/details/ai-document-intelligence/.
USAGE:
python sample_analyze_addon_barcodes.py
Set the environment variables with your own values before running the sample:
1) AZURE_FORM_RECOGNIZER_ENDPOINT - the endpoint to your Form Recognizer resource.
2) AZURE_FORM_RECOGNIZER_KEY - your Form Recognizer API key
"""
import os
def format_bounding_region(bounding_regions):
if not bounding_regions:
return "N/A"
return ", ".join(
f"Page #{region.page_number}: {format_polygon(region.polygon)}"
for region in bounding_regions
)
def format_polygon(polygon):
if not polygon:
return "N/A"
return ", ".join([f"[{p.x}, {p.y}]" for p in polygon])
def analyze_barcodes():
path_to_sample_documents = os.path.abspath(
os.path.join(
os.path.abspath(__file__),
"..",
"..",
"sample_forms/add_ons/barcodes.jpg",
)
)
# [START analyze_barcodes]
from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import DocumentAnalysisClient, AnalysisFeature
endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
document_analysis_client = DocumentAnalysisClient(
endpoint=endpoint, credential=AzureKeyCredential(key)
)
# Specify which add-on capabilities to enable.
with open(path_to_sample_documents, "rb") as f:
poller = document_analysis_client.begin_analyze_document(
"prebuilt-layout", document=f, features=[AnalysisFeature.BARCODES]
)
result = poller.result()
# Iterate over extracted barcodes on each page.
for page in result.pages:
print(f"----Barcodes detected from page #{page.page_number}----")
print(f"Detected {len(page.barcodes)} barcodes:")
for barcode_idx, barcode in enumerate(page.barcodes):
print(f"- Barcode #{barcode_idx}: {barcode.value}")
print(f" Kind: {barcode.kind}")
print(f" Confidence: {barcode.confidence}")
print(f" Bounding regions: {format_polygon(barcode.polygon)}")
print("----------------------------------------")
# [END analyze_barcodes]
if __name__ == "__main__":
from azure.core.exceptions import HttpResponseError
try:
analyze_barcodes()
except HttpResponseError as error:
print(
"For more information about troubleshooting errors, see the following guide: "
"https://aka.ms/azsdk/python/formrecognizer/troubleshooting"
)
# Examples of how to check an HttpResponseError
# Check by error code:
if error.error is not None:
if error.error.code == "InvalidImage":
print(f"Received an invalid image error: {error.error}")
if error.error.code == "InvalidRequest":
print(f"Received an invalid request error: {error.error}")
# Raise the error again after printing it
raise
# If the inner error is None and then it is possible to check the message to get more information:
if "Invalid request".casefold() in error.message.casefold():
print(f"Uh-oh! Seems there was an invalid request: {error}")
# Raise the error again
raise