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mloza/Client.java

Last active Apr 23, 2020
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Kod do wpisu o Google Cloud Vision i rozpoznawaniu tekstu na obrazach znajdujący się pod adresem: https://blog.mloza.pl/google-cloud-vision-czyli-rozpoznawanie-obrazow-w-chmurze-czesc-1-ocr/
Vision visionClient = new Vision.Builder(httpTransport, jsonFactory, credential)
.setApplicationName(APPLICATION_NAME)
.build();
HttpTransport httpTransport = GoogleNetHttpTransport.newTrustedTransport();
JsonFactory jsonFactory = new JacksonFactory();
Credential credential = GoogleCredential
.fromStream(
Main.class.getClassLoader()
.getResourceAsStream("client-secrets.json"))
.createScoped(Collections.singleton(StorageScopes.CLOUD_PLATFORM));
Storage storage = new Storage.Builder(httpTransport, jsonFactory, credential)
.setApplicationName("Test project")
.build();
<dependency>
<groupId>com.google.apis</groupId>
<artifactId>google-api-services-vision</artifactId>
<version>v1-rev15-1.22.0</version>
</dependency>
Image image = new Image().setSource(new ImageSource() //1
.setGcsImageUri("gs://" + BUCKET + "/" + PICTURE_NAME));
Feature annotateFeature = new Feature() //2
.setType("TEXT_DETECTION");
AnnotateImageRequest annotateImage = new AnnotateImageRequest() // 3
.setFeatures(Collections.singletonList(annotateFeature))
.setImage(image);
BatchAnnotateImagesResponse text_detection = visionClient // 4
.images()
.annotate(
new BatchAnnotateImagesRequest()
.setRequests(Collections.singletonList(annotateImage)))
.execute();
System.out.println(text_detection.getResponses().get(0).getTextAnnotations()); //5
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]
},
"description": "501782"
}
]

InputStreamContent mediaContent = new InputStreamContent("image/jpeg",
getClass().getClassLoader().getResourceAsStream(PICTURE_NAME));
StorageObject object = storage
.objects()
.insert(BUCKET, null, mediaContent)
.setName(PICTURE_NAME)
.execute();
System.out.println("Adres przesłanego obrazu: "+object.getSelfLink());
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