Examples with ClassifiedImages com.ibm.watson.developer_cloud.visual_recognition.v3.model.ClassifiedImages used on opensource projects

Example 6 with ClassifiedImages

use of com.ibm.watson.developer_cloud.visual_recognition.v3.model.ClassifiedImages in project java-sdk by watson-developer-cloud.

the class VisualRecognitionIT method testClassifyImagesFromUrlUsingParameters.

/**
 * Test classify images from url using the deprecated parameters option.
 */
@Test
public void testClassifyImagesFromUrlUsingParameters() {
    String parameters = "{\"url\":\"" + IMAGE_URL + "\"}";
    ClassifyOptions options = new ClassifyOptions.Builder().parameters(parameters).build();
    ClassifiedImages result = service.classify(options).execute();
    assertClassifyImage(result, options);
}

Example 7 with ClassifiedImages

use of com.ibm.watson.developer_cloud.visual_recognition.v3.model.ClassifiedImages in project java-sdk by watson-developer-cloud.

the class VisualRecognitionIT method testClassifyImagesFromBytes.

/**
 * Test classify a single jpg image.
 *
 * @throws IOException Signals that an I/O exception has occurred.
 */
@Test
public void testClassifyImagesFromBytes() throws IOException {
    InputStream imagesStream = new FileInputStream(SINGLE_IMAGE_FILE);
    ClassifyOptions options = new ClassifyOptions.Builder().imagesFile(imagesStream).imagesFilename("car.png").build();
    ClassifiedImages result = service.classify(options).execute();
    assertClassifyImage(result, options);
}

Example 8 with ClassifiedImages

use of com.ibm.watson.developer_cloud.visual_recognition.v3.model.ClassifiedImages in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testClassifyWithFile.

/**
 * Test classify with file.
 *
 * @throws IOException Signals that an I/O exception has occurred.
 * @throws InterruptedException the interrupted exception
 */
@Test
public void testClassifyWithFile() throws IOException, InterruptedException {
    ClassifiedImages mockResponse = loadFixture(FIXTURE_CLASSIFICATION, ClassifiedImages.class);
    server.enqueue(new MockResponse().setBody(mockResponse.toString()));
    // execute request
    File images = new File(IMAGE_FILE);
    ClassifyOptions options = new ClassifyOptions.Builder().imagesFile(images).classifierIds(Arrays.asList("car")).build();
    ClassifiedImages serviceResponse = service.classify(options).execute();
    // first request
    RecordedRequest request = server.takeRequest();
    String path = PATH_CLASSIFY + "?" + VERSION_DATE + "=2016-05-20&api_key=" + API_KEY;
    assertEquals(path, request.getPath());
    assertEquals("POST", request.getMethod());
    assertEquals(serviceResponse, mockResponse);
}

Example 9 with ClassifiedImages

use of com.ibm.watson.developer_cloud.visual_recognition.v3.model.ClassifiedImages in project java-sdk by watson-developer-cloud.

the class VisualRecognition method classify.

/**
 * Classify images.
 *
 * Classify images with built-in or custom classifiers.
 *
 * @param classifyOptions the {@link ClassifyOptions} containing the options for the call
 * @return a {@link ServiceCall} with a response type of {@link ClassifiedImages}
 */
public ServiceCall<ClassifiedImages> classify(ClassifyOptions classifyOptions) {
    Validator.notNull(classifyOptions, "classifyOptions cannot be null");
    Validator.isTrue((classifyOptions.imagesFile() != null) || (classifyOptions.url() != null) || (classifyOptions.threshold() != null) || (classifyOptions.owners() != null) || (classifyOptions.classifierIds() != null) || (classifyOptions.parameters() != null), "At least one of imagesFile, url, threshold, owners, classifierIds, or parameters must be supplied.");
    String[] pathSegments = { "v3/classify" };
    RequestBuilder builder = RequestBuilder.post(RequestBuilder.constructHttpUrl(getEndPoint(), pathSegments));
    builder.query(VERSION, versionDate);
    if (classifyOptions.acceptLanguage() != null) {
        builder.header("Accept-Language", classifyOptions.acceptLanguage());
    }
    MultipartBody.Builder multipartBuilder = new MultipartBody.Builder();
    multipartBuilder.setType(MultipartBody.FORM);
    if (classifyOptions.imagesFile() != null) {
        RequestBody imagesFileBody = RequestUtils.inputStreamBody(classifyOptions.imagesFile(), classifyOptions.imagesFileContentType());
        multipartBuilder.addFormDataPart("images_file", classifyOptions.imagesFilename(), imagesFileBody);
    }
    if (classifyOptions.parameters() != null) {
        multipartBuilder.addFormDataPart("parameters", classifyOptions.parameters());
    }
    if (classifyOptions.url() != null) {
        multipartBuilder.addFormDataPart("url", classifyOptions.url());
    }
    if (classifyOptions.threshold() != null) {
        multipartBuilder.addFormDataPart("threshold", String.valueOf(classifyOptions.threshold()));
    }
    if (classifyOptions.owners() != null) {
        multipartBuilder.addFormDataPart("owners", RequestUtils.join(classifyOptions.owners(), ","));
    }
    if (classifyOptions.classifierIds() != null) {
        multipartBuilder.addFormDataPart("classifier_ids", RequestUtils.join(classifyOptions.classifierIds(), ","));
    }
    builder.body(multipartBuilder.build());
    return createServiceCall(builder.build(), ResponseConverterUtils.getObject(ClassifiedImages.class));
}