Examples with ImageContext com.google.cloud.vision.v1p3beta1.ImageContext used on opensource projects

Example 6 with ImageContext

use of com.google.cloud.vision.v1p3beta1.ImageContext in project spring-cloud-gcp by GoogleCloudPlatform.

the class CloudVisionTemplateTests method testAddImageContext_extractText.

@Test
void testAddImageContext_extractText() throws IOException {
    when(this.imageAnnotatorClient.batchAnnotateImages(any(BatchAnnotateImagesRequest.class))).thenReturn(DEFAULT_API_RESPONSE);
    ImageContext imageContext = Mockito.mock(ImageContext.class);
    this.cloudVisionTemplate.extractTextFromImage(FAKE_IMAGE, imageContext);
    BatchAnnotateImagesRequest expectedRequest = BatchAnnotateImagesRequest.newBuilder().addRequests(AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.TEXT_DETECTION)).setImageContext(imageContext).setImage(Image.newBuilder().setContent(ByteString.readFrom(FAKE_IMAGE.getInputStream())).build())).build();
    verify(this.imageAnnotatorClient, times(1)).batchAnnotateImages(expectedRequest);
}

Example 7 with ImageContext

use of com.google.cloud.vision.v1p3beta1.ImageContext in project java-docs-samples by GoogleCloudPlatform.

the class Detect method detectWebEntitiesIncludeGeoResultsGcs.

// [END vision_web_entities_include_geo_results]
// [START vision_web_entities_include_geo_results_uri]
/**
 * Find web entities given the remote image on Google Cloud Storage.
 * @param gcsPath The path to the remote file on Google Cloud Storage to detect web entities with
 *                geo results.
 * @param out A {@link PrintStream} to write the results to.
 * @throws Exception on errors while closing the client.
 * @throws IOException on Input/Output errors.
 */
public static void detectWebEntitiesIncludeGeoResultsGcs(String gcsPath, PrintStream out) throws Exception, IOException {
    // Instantiates a client
    try (ImageAnnotatorClient client = ImageAnnotatorClient.create()) {
        // Set the image source to the given gs uri
        ImageSource imageSource = ImageSource.newBuilder().setGcsImageUri(gcsPath).build();
        // Build the image
        Image image = Image.newBuilder().setSource(imageSource).build();
        // Enable `IncludeGeoResults`
        WebDetectionParams webDetectionParams = WebDetectionParams.newBuilder().setIncludeGeoResults(true).build();
        // Set the parameters for the image
        ImageContext imageContext = ImageContext.newBuilder().setWebDetectionParams(webDetectionParams).build();
        // Create the request with the image, imageContext, and the specified feature: web detection
        AnnotateImageRequest request = AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.WEB_DETECTION)).setImage(image).setImageContext(imageContext).build();
        // Perform the request
        BatchAnnotateImagesResponse response = client.batchAnnotateImages(Arrays.asList(request));
        // Display the results
        response.getResponsesList().stream().forEach(r -> r.getWebDetection().getWebEntitiesList().stream().forEach(entity -> {
            out.format("Description: %s\n", entity.getDescription());
            out.format("Score: %f\n", entity.getScore());
        }));
    }
}

Example 8 with ImageContext

use of com.google.cloud.vision.v1p3beta1.ImageContext in project spring-cloud-gcp by spring-cloud.

the class CloudVisionTemplateTests method testAddImageContext_extractText.

@Test
public void testAddImageContext_extractText() throws IOException {
    when(this.imageAnnotatorClient.batchAnnotateImages(any(BatchAnnotateImagesRequest.class))).thenReturn(DEFAULT_API_RESPONSE);
    ImageContext imageContext = Mockito.mock(ImageContext.class);
    this.cloudVisionTemplate.extractTextFromImage(FAKE_IMAGE, imageContext);
    BatchAnnotateImagesRequest expectedRequest = BatchAnnotateImagesRequest.newBuilder().addRequests(AnnotateImageRequest.newBuilder().addFeatures(Feature.newBuilder().setType(Type.TEXT_DETECTION)).setImageContext(imageContext).setImage(Image.newBuilder().setContent(ByteString.readFrom(FAKE_IMAGE.getInputStream())).build())).build();
    verify(this.imageAnnotatorClient, times(1)).batchAnnotateImages(expectedRequest);
}

Example 9 with ImageContext

use of com.google.cloud.vision.v1p3beta1.ImageContext in project spring-cloud-gcp by spring-cloud.

the class CloudVisionTemplate method analyzeImage.

/**
 * Analyze an image and extract the features of the image specified by
 * {@code featureTypes}.
 * <p>A feature describes the kind of Cloud Vision analysis one wishes to perform on an
 * image, such as text detection, image labelling, facial detection, etc. A full list of
 * feature types can be found in {@link Feature.Type}.
 * @param imageResource the image one wishes to analyze. The Cloud Vision APIs support
 *     image formats described here: https://cloud.google.com/vision/docs/supported-files
 * @param imageContext the image context used to customize the Vision API request
 * @param featureTypes the types of image analysis to perform on the image
 * @return the results of image analyses
 * @throws CloudVisionException if the image could not be read or if a malformed response
 *     is received from the Cloud Vision APIs
 */
public AnnotateImageResponse analyzeImage(Resource imageResource, ImageContext imageContext, Feature.Type... featureTypes) {
    ByteString imgBytes;
    try {
        imgBytes = ByteString.readFrom(imageResource.getInputStream());
    } catch (IOException ex) {
        throw new CloudVisionException("Failed to read image bytes from provided resource.", ex);
    }
    Image image = Image.newBuilder().setContent(imgBytes).build();
    List<Feature> featureList = Arrays.stream(featureTypes).map((featureType) -> Feature.newBuilder().setType(featureType).build()).collect(Collectors.toList());
    BatchAnnotateImagesRequest request = BatchAnnotateImagesRequest.newBuilder().addRequests(AnnotateImageRequest.newBuilder().addAllFeatures(featureList).setImageContext(imageContext).setImage(image)).build();
    BatchAnnotateImagesResponse batchResponse = this.imageAnnotatorClient.batchAnnotateImages(request);
    List<AnnotateImageResponse> annotateImageResponses = batchResponse.getResponsesList();
    if (!annotateImageResponses.isEmpty()) {
        return annotateImageResponses.get(0);
    } else {
        throw new CloudVisionException("Failed to receive valid response Vision APIs; empty response received.");
    }
}

Example 10 with ImageContext

use of com.google.cloud.vision.v1p3beta1.ImageContext in project spring-cloud-gcp by GoogleCloudPlatform.

the class CloudVisionTemplate method analyzeImage.

/**
 * Analyze an image and extract the features of the image specified by {@code featureTypes}.
 *
 * <p>A feature describes the kind of Cloud Vision analysis one wishes to perform on an image,
 * such as text detection, image labelling, facial detection, etc. A full list of feature types
 * can be found in {@link Feature.Type}.
 *
 * @param imageResource the image one wishes to analyze. The Cloud Vision APIs support image
 *     formats described here: https://cloud.google.com/vision/docs/supported-files
 * @param imageContext the image context used to customize the Vision API request
 * @param featureTypes the types of image analysis to perform on the image
 * @return the results of image analyses
 * @throws CloudVisionException if the image could not be read or if a malformed response is
 *     received from the Cloud Vision APIs
 */
public AnnotateImageResponse analyzeImage(Resource imageResource, ImageContext imageContext, Feature.Type... featureTypes) {
    ByteString imgBytes;
    try {
        imgBytes = ByteString.readFrom(imageResource.getInputStream());
    } catch (IOException ex) {
        throw new CloudVisionException(READ_BYTES_ERROR_MESSAGE, ex);
    }
    Image image = Image.newBuilder().setContent(imgBytes).build();
    List<Feature> featureList = Arrays.stream(featureTypes).map(featureType -> Feature.newBuilder().setType(featureType).build()).collect(Collectors.toList());
    BatchAnnotateImagesRequest request = BatchAnnotateImagesRequest.newBuilder().addRequests(AnnotateImageRequest.newBuilder().addAllFeatures(featureList).setImageContext(imageContext).setImage(image)).build();
    BatchAnnotateImagesResponse batchResponse = this.imageAnnotatorClient.batchAnnotateImages(request);
    List<AnnotateImageResponse> annotateImageResponses = batchResponse.getResponsesList();
    if (!annotateImageResponses.isEmpty()) {
        return annotateImageResponses.get(0);
    } else {
        throw new CloudVisionException(EMPTY_RESPONSE_ERROR_MESSAGE);
    }
}