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- Microsoft Azure Computer Vision APIïŒç»ååæãç©äœæ€åºã空éåæãå åŠæåèªèïŒOCRïŒãªã©ã®æ©èœãåããå ç¢ãªAPIã§ããè€æ°ã®èšèªããµããŒãããã«ã¹ã¿ã ã¢ãã«ãã¬ãŒãã³ã°ã®ããã®é«åºŠãªæ©èœãæäŸããŸãã
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- IBM Watson Visual RecognitionïŒç»ååé¡ãç©äœæ€åºãé¡èªèæ©èœãæäŸããAPIã§ããã«ã¹ã¿ã ã¢ãã«ã®ãã¬ãŒãã³ã°ãå¯èœã§ãã
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ã³ãŒãã¹ããããïŒæŠå¿µäŸ - PythonãšGoogle Cloud Vision APIïŒïŒ
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from google.cloud import vision
client = vision.ImageAnnotatorClient()
image = vision.Image()
image.source.image_uri = image_url # ã¢ããããŒããããç»åã®URL
response = client.label_detection(image=image)
labels = response.label_annotations
print("Labels:")
for label in labels:
print(label.description, label.score)
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- APIã«ç»åãéä¿¡ïŒã¢ããªã±ãŒã·ã§ã³ãç»åèªèAPIïŒäŸïŒAmazon RekognitionïŒã«ç»åãéä¿¡ããŸãã
- APIãç»åãåæïŒAPIãç»åã®äžé©åãªã³ã³ãã³ããåæããŸãã
- ã¢ã¯ã·ã§ã³ãå®è¡ïŒAPIãé«ãä¿¡é ŒåºŠã§äžé©åãªã³ã³ãã³ããæ€åºããå Žåãã¢ããªã±ãŒã·ã§ã³ã¯èªåçã«ç»åãåé€ããããæåã¬ãã¥ãŒã®ããã«ãã©ã°ãç«ãŠãŸãã
ã³ãŒãã¹ããããïŒæŠå¿µäŸ - PythonãšAmazon RekognitionïŒïŒ
import boto3
rekognition_client = boto3.client('rekognition')
with open(image_path, 'rb') as image_file:
image_bytes = image_file.read()
response = rekognition_client.detect_moderation_labels(Image={'Bytes': image_bytes})
moderation_labels = response['ModerationLabels']
for label in moderation_labels:
print(label['Name'], label['Confidence'])
if label['Confidence'] > 90: # å¿
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