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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
This sample demonstrates how to extract printed or hand-written text from a
publicly accessible image URL, using a synchronous client.
The synchronous (blocking) `analyze` method call returns an `ImageAnalysisResult` object.
Its `read` property (a `ReadResult` object) includes a list of `TextBlock` objects. Currently, the
list will always contain one element only, as the service does not yet support grouping text lines
into separate blocks. The `TextBlock` object contains a list of `DocumentLine` object. Each one includes:
- The text content of the line.
- A `BoundingPolygon` coordinates in pixels, for a polygon surrounding the line of text in the image.
- A list of `DocumentWord` objects.
Each `DocumentWord` object contains:
- The text content of the word.
- A `BoundingPolygon` coordinates in pixels, for a polygon surrounding the word in the image.
- A confidence score in the range [0, 1], with higher values indicating greater confidences in
the recognition of the word.
USAGE:
python sample_ocr_image_url.py
Set these two environment variables before running the sample:
1) VISION_ENDPOINT - Your endpoint URL, in the form https://your-resource-name.cognitiveservices.azure.com
where `your-resource-name` is your unique Azure Computer Vision resource name.
2) VISION_KEY - Your Computer Vision key (a 32-character Hexadecimal number)
"""
def sample_ocr_image_url():
import os
from azure.ai.vision.imageanalysis import ImageAnalysisClient
from azure.ai.vision.imageanalysis.models import VisualFeatures
from azure.core.credentials import AzureKeyCredential
# Set the values of your computer vision endpoint and computer vision key
# as environment variables:
try:
endpoint = os.environ["VISION_ENDPOINT"]
key = os.environ["VISION_KEY"]
except KeyError:
print("Missing environment variable 'VISION_ENDPOINT' or 'VISION_KEY'")
print("Set them before running this sample.")
exit()
# Create an Image Analysis client
client = ImageAnalysisClient(
endpoint=endpoint,
credential=AzureKeyCredential(key)
)
# [START read]
# Extract text (OCR) from an image stream. This will be a synchronously (blocking) call.
result = client.analyze_from_url(
image_url="https://aka.ms/azsdk/image-analysis/sample.jpg",
visual_features=[VisualFeatures.READ]
)
# Print text (OCR) analysis results to the console
print("Image analysis results:")
print(" Read:")
if result.read is not None:
for line in result.read.blocks[0].lines:
print(f" Line: '{line.text}', Bounding box {line.bounding_polygon}")
for word in line.words:
print(f" Word: '{word.text}', Bounding polygon {word.bounding_polygon}, Confidence {word.confidence:.4f}")
# [END read]
print(f" Image height: {result.metadata.height}")
print(f" Image width: {result.metadata.width}")
print(f" Model version: {result.model_version}")
if __name__ == "__main__":
sample_ocr_image_url()
|
