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Example 1 with PredictRequest

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

the class PredictCustomTrainedModelSample method predictCustomTrainedModel.

static void predictCustomTrainedModel(String project, String endpointId, String instance) 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";
        EndpointName endpointName = EndpointName.of(project, location, endpointId);
        ListValue.Builder listValue = ListValue.newBuilder();
        JsonFormat.parser().merge(instance, listValue);
        List<Value> instanceList = listValue.getValuesList();
        PredictRequest predictRequest = PredictRequest.newBuilder().setEndpoint(endpointName.toString()).addAllInstances(instanceList).build();
        PredictResponse predictResponse = predictionServiceClient.predict(predictRequest);
        System.out.println("Predict Custom Trained model Response");
        System.out.format("\tDeployed Model Id: %s\n", predictResponse.getDeployedModelId());
        System.out.println("Predictions");
        for (Value prediction : predictResponse.getPredictionsList()) {
            System.out.format("\tPrediction: %s\n", prediction);
        }
    }
}
Also used : PredictionServiceSettings(com.google.cloud.aiplatform.v1.PredictionServiceSettings) EndpointName(com.google.cloud.aiplatform.v1.EndpointName) ListValue(com.google.protobuf.ListValue) ListValue(com.google.protobuf.ListValue) Value(com.google.protobuf.Value) PredictResponse(com.google.cloud.aiplatform.v1.PredictResponse) PredictRequest(com.google.cloud.aiplatform.v1.PredictRequest) PredictionServiceClient(com.google.cloud.aiplatform.v1.PredictionServiceClient)

Example 2 with PredictRequest

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

the class LanguageEntityExtractionPredict method predict.

static void predict(String projectId, String modelId, String content) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        // For available mime types, see:
        // https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
        TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
        "text/plain").build();
        ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
        PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
        PredictResponse response = client.predict(predictRequest);
        for (AnnotationPayload annotationPayload : response.getPayloadList()) {
            System.out.format("Text Extract Entity Type: %s\n", annotationPayload.getDisplayName());
            System.out.format("Text score: %.2f\n", annotationPayload.getTextExtraction().getScore());
            TextSegment textSegment = annotationPayload.getTextExtraction().getTextSegment();
            System.out.format("Text Extract Entity Content: %s\n", textSegment.getContent());
            System.out.format("Text Start Offset: %s\n", textSegment.getStartOffset());
            System.out.format("Text End Offset: %s\n\n", textSegment.getEndOffset());
        }
    }
}
Also used : ModelName(com.google.cloud.automl.v1.ModelName) TextSnippet(com.google.cloud.automl.v1.TextSnippet) PredictResponse(com.google.cloud.automl.v1.PredictResponse) ExamplePayload(com.google.cloud.automl.v1.ExamplePayload) TextSegment(com.google.cloud.automl.v1.TextSegment) PredictRequest(com.google.cloud.automl.v1.PredictRequest) PredictionServiceClient(com.google.cloud.automl.v1.PredictionServiceClient) AnnotationPayload(com.google.cloud.automl.v1.AnnotationPayload)

Example 3 with PredictRequest

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

the class LanguageSentimentAnalysisPredict method predict.

static void predict(String projectId, String modelId, String content) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        // For available mime types, see:
        // https://cloud.google.com/automl/docs/reference/rest/v1/projects.locations.models/predict#textsnippet
        TextSnippet textSnippet = TextSnippet.newBuilder().setContent(content).setMimeType(// Types: text/plain, text/html
        "text/plain").build();
        ExamplePayload payload = ExamplePayload.newBuilder().setTextSnippet(textSnippet).build();
        PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).build();
        PredictResponse response = client.predict(predictRequest);
        for (AnnotationPayload annotationPayload : response.getPayloadList()) {
            System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
            System.out.format("Predicted sentiment score: %d\n", annotationPayload.getTextSentiment().getSentiment());
        }
    }
}
Also used : ModelName(com.google.cloud.automl.v1.ModelName) TextSnippet(com.google.cloud.automl.v1.TextSnippet) PredictResponse(com.google.cloud.automl.v1.PredictResponse) ExamplePayload(com.google.cloud.automl.v1.ExamplePayload) PredictRequest(com.google.cloud.automl.v1.PredictRequest) PredictionServiceClient(com.google.cloud.automl.v1.PredictionServiceClient) AnnotationPayload(com.google.cloud.automl.v1.AnnotationPayload)

Example 4 with PredictRequest

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

the class VisionClassificationPredict method predict.

static void predict(String projectId, String modelId, String filePath) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        ByteString content = ByteString.copyFrom(Files.readAllBytes(Paths.get(filePath)));
        Image image = Image.newBuilder().setImageBytes(content).build();
        ExamplePayload payload = ExamplePayload.newBuilder().setImage(image).build();
        PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).putParams("score_threshold", // [0.0-1.0] Only produce results higher than this value
        "0.8").build();
        PredictResponse response = client.predict(predictRequest);
        for (AnnotationPayload annotationPayload : response.getPayloadList()) {
            System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
            System.out.format("Predicted class score: %.2f\n", annotationPayload.getClassification().getScore());
        }
    }
}
Also used : ModelName(com.google.cloud.automl.v1.ModelName) ByteString(com.google.protobuf.ByteString) PredictResponse(com.google.cloud.automl.v1.PredictResponse) ExamplePayload(com.google.cloud.automl.v1.ExamplePayload) Image(com.google.cloud.automl.v1.Image) PredictRequest(com.google.cloud.automl.v1.PredictRequest) PredictionServiceClient(com.google.cloud.automl.v1.PredictionServiceClient) AnnotationPayload(com.google.cloud.automl.v1.AnnotationPayload)

Example 5 with PredictRequest

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

the class VisionObjectDetectionPredict method predict.

static void predict(String projectId, String modelId, String filePath) throws IOException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (PredictionServiceClient client = PredictionServiceClient.create()) {
        // Get the full path of the model.
        ModelName name = ModelName.of(projectId, "us-central1", modelId);
        ByteString content = ByteString.copyFrom(Files.readAllBytes(Paths.get(filePath)));
        Image image = Image.newBuilder().setImageBytes(content).build();
        ExamplePayload payload = ExamplePayload.newBuilder().setImage(image).build();
        PredictRequest predictRequest = PredictRequest.newBuilder().setName(name.toString()).setPayload(payload).putParams("score_threshold", // [0.0-1.0] Only produce results higher than this value
        "0.5").build();
        PredictResponse response = client.predict(predictRequest);
        for (AnnotationPayload annotationPayload : response.getPayloadList()) {
            System.out.format("Predicted class name: %s\n", annotationPayload.getDisplayName());
            System.out.format("Predicted class score: %.2f\n", annotationPayload.getImageObjectDetection().getScore());
            BoundingPoly boundingPoly = annotationPayload.getImageObjectDetection().getBoundingBox();
            System.out.println("Normalized Vertices:");
            for (NormalizedVertex vertex : boundingPoly.getNormalizedVerticesList()) {
                System.out.format("\tX: %.2f, Y: %.2f\n", vertex.getX(), vertex.getY());
            }
        }
    }
}
Also used : ModelName(com.google.cloud.automl.v1.ModelName) ByteString(com.google.protobuf.ByteString) PredictResponse(com.google.cloud.automl.v1.PredictResponse) BoundingPoly(com.google.cloud.automl.v1.BoundingPoly) ExamplePayload(com.google.cloud.automl.v1.ExamplePayload) Image(com.google.cloud.automl.v1.Image) PredictRequest(com.google.cloud.automl.v1.PredictRequest) PredictionServiceClient(com.google.cloud.automl.v1.PredictionServiceClient) AnnotationPayload(com.google.cloud.automl.v1.AnnotationPayload) NormalizedVertex(com.google.cloud.automl.v1.NormalizedVertex)

Aggregations

ExamplePayload (com.google.cloud.automl.v1.ExamplePayload)6 ModelName (com.google.cloud.automl.v1.ModelName)6 PredictRequest (com.google.cloud.automl.v1.PredictRequest)6 PredictResponse (com.google.cloud.automl.v1.PredictResponse)6 PredictionServiceClient (com.google.cloud.automl.v1.PredictionServiceClient)6 AnnotationPayload (com.google.cloud.automl.v1.AnnotationPayload)5 TextSnippet (com.google.cloud.automl.v1.TextSnippet)4 Image (com.google.cloud.automl.v1.Image)2 ByteString (com.google.protobuf.ByteString)2 EndpointName (com.google.cloud.aiplatform.v1.EndpointName)1 PredictRequest (com.google.cloud.aiplatform.v1.PredictRequest)1 PredictResponse (com.google.cloud.aiplatform.v1.PredictResponse)1 PredictionServiceClient (com.google.cloud.aiplatform.v1.PredictionServiceClient)1 PredictionServiceSettings (com.google.cloud.aiplatform.v1.PredictionServiceSettings)1 BoundingPoly (com.google.cloud.automl.v1.BoundingPoly)1 NormalizedVertex (com.google.cloud.automl.v1.NormalizedVertex)1 TextSegment (com.google.cloud.automl.v1.TextSegment)1 AnnotationPayload (com.google.cloud.automl.v1beta1.AnnotationPayload)1 ExamplePayload (com.google.cloud.automl.v1beta1.ExamplePayload)1 ModelName (com.google.cloud.automl.v1beta1.ModelName)1