azure-cognitiveservices-vision-computervision

import os from azure.cognitiveservices.vision.computervision import ComputerVisionClient from msrest.authentication import CognitiveServicesCredentials from azure.cognitiveservices.vision.computervision.models import VisualFeatureTypes # Set up your Computer Vision subscription key and endpoint as environment variables VISION_KEY = os.environ.get('VISION_KEY', 'YOUR_VISION_SUBSCRIPTION_KEY') VISION_ENDPOINT = os.environ.get('VISION_ENDPOINT', 'YOUR_VISION_ENDPOINT') if not VISION_KEY or not VISION_ENDPOINT: print("Please set the VISION_KEY and VISION_ENDPOINT environment variables.") exit() # Authenticate the client credentials = CognitiveServicesCredentials(VISION_KEY) computervision_client = ComputerVisionClient(VISION_ENDPOINT, credentials) # Analyze a remote image remote_image_url = "https://learn.microsoft.com/azure/ai-services/computer-vision/media/quickstarts/presentation.png" print(f"\nAnalyzing image from URL: {remote_image_url}") # Select the visual features to analyze image_features = [VisualFeatureTypes.categories, VisualFeatureTypes.description, VisualFeatureTypes.tags] analyzed_results = computervision_client.analyze_image(remote_image_url, image_features) # Print results print("Description:") if analyzed_results.description.captions: for caption in analyzed_results.description.captions: print(f" '{caption.text}' with confidence {caption.confidence:.2f}") print("Tags:") if analyzed_results.tags: for tag in analyzed_results.tags: print(f" '{tag.name}' with confidence {tag.confidence:.2f}") print("Categories:") if analyzed_results.categories: for category in analyzed_results.categories: print(f" '{category.name}' with confidence {category.score:.2f}")