Examples with PredictResponse com.google.cloud.aiplatform.v1.PredictResponse used on opensource projects

Example 16 with PredictResponse

use of com.google.cloud.aiplatform.v1.PredictResponse in project java-aiplatform by googleapis.

the class PredictTextEntityExtractionSample method predictTextEntityExtraction.

static void predictTextEntityExtraction(String project, String content, String endpointId) throws IOException {
    PredictionServiceSettings predictionServiceSettings = PredictionServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create(predictionServiceSettings)) {
        String location = "us-central1";
        String jsonString = "{\"content\": \"" + content + "\"}";
        EndpointName endpointName = EndpointName.of(project, location, endpointId);
        TextExtractionPredictionInstance instance = TextExtractionPredictionInstance.newBuilder().setContent(content).build();
        List<Value> instances = new ArrayList<>();
        instances.add(ValueConverter.toValue(instance));
        PredictResponse predictResponse = predictionServiceClient.predict(endpointName, instances, ValueConverter.EMPTY_VALUE);
        System.out.println("Predict Text Entity Extraction Response");
        System.out.format("\tDeployed Model Id: %s\n", predictResponse.getDeployedModelId());
        System.out.println("Predictions");
        for (Value prediction : predictResponse.getPredictionsList()) {
            TextExtractionPredictionResult.Builder resultBuilder = TextExtractionPredictionResult.newBuilder();
            TextExtractionPredictionResult result = (TextExtractionPredictionResult) ValueConverter.fromValue(resultBuilder, prediction);
            for (int i = 0; i < result.getIdsCount(); i++) {
                long textStartOffset = result.getTextSegmentStartOffsets(i);
                long textEndOffset = result.getTextSegmentEndOffsets(i);
                String entity = content.substring((int) textStartOffset, (int) textEndOffset);
                System.out.format("\tEntity: %s\n", entity);
                System.out.format("\tEntity type: %s\n", result.getDisplayNames(i));
                System.out.format("\tConfidences: %f\n", result.getConfidences(i));
                System.out.format("\tIDs: %d\n", result.getIds(i));
            }
        }
    }
}

Example 17 with PredictResponse

use of com.google.cloud.aiplatform.v1.PredictResponse in project java-aiplatform by googleapis.

the class PredictImageObjectDetectionSample method predictImageObjectDetection.

static void predictImageObjectDetection(String project, String fileName, String endpointId) throws IOException {
    PredictionServiceSettings settings = PredictionServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient predictionServiceClient = PredictionServiceClient.create(settings)) {
        String location = "us-central1";
        EndpointName endpointName = EndpointName.of(project, location, endpointId);
        byte[] contents = Base64.encodeBase64(Files.readAllBytes(Paths.get(fileName)));
        String content = new String(contents, StandardCharsets.UTF_8);
        ImageObjectDetectionPredictionParams params = ImageObjectDetectionPredictionParams.newBuilder().setConfidenceThreshold((float) (0.5)).setMaxPredictions(5).build();
        ImageObjectDetectionPredictionInstance instance = ImageObjectDetectionPredictionInstance.newBuilder().setContent(content).build();
        List<Value> instances = new ArrayList<>();
        instances.add(ValueConverter.toValue(instance));
        PredictResponse predictResponse = predictionServiceClient.predict(endpointName, instances, ValueConverter.toValue(params));
        System.out.println("Predict Image Object Detection Response");
        System.out.format("\tDeployed Model Id: %s\n", predictResponse.getDeployedModelId());
        System.out.println("Predictions");
        for (Value prediction : predictResponse.getPredictionsList()) {
            ImageObjectDetectionPredictionResult.Builder resultBuilder = ImageObjectDetectionPredictionResult.newBuilder();
            ImageObjectDetectionPredictionResult result = (ImageObjectDetectionPredictionResult) ValueConverter.fromValue(resultBuilder, prediction);
            for (int i = 0; i < result.getIdsCount(); i++) {
                System.out.printf("\tDisplay name: %s\n", result.getDisplayNames(i));
                System.out.printf("\tConfidences: %f\n", result.getConfidences(i));
                System.out.printf("\tIDs: %d\n", result.getIds(i));
                System.out.printf("\tBounding boxes: %s\n", result.getBboxes(i));
            }
        }
    }
}