Examples with TrainingDataObject com.ibm.watson.visual_recognition.v4.model.TrainingDataObject used on opensource projects

Example 1 with TrainingDataObject

use of com.ibm.watson.visual_recognition.v4.model.TrainingDataObject in project java-sdk by watson-developer-cloud.

the class VisualRecognitionIT method testTrainingOperations.

/**
 * Test training operations.
 *
 * @throws FileNotFoundException the file not found exception
 */
@Test
public void testTrainingOperations() throws FileNotFoundException {
    String testCollectionId = createTestCollection();
    // start by adding images for training
    FileWithMetadata giraffeFileZip = new FileWithMetadata.Builder().data(new File(GIRAFFE_POSITIVE_EXAMPLES_PATH)).contentType(HttpMediaType.APPLICATION_ZIP).build();
    AddImagesOptions addImagesOptions = new AddImagesOptions.Builder().addImagesFile(giraffeFileZip).collectionId(testCollectionId).build();
    ImageDetailsList imageDetailsList = service.addImages(addImagesOptions).execute().getResult();
    String imageIdForTraining = null;
    Set<String> addedImageIds = new HashSet<>();
    for (ImageDetails imageDetails : imageDetailsList.getImages()) {
        addedImageIds.add(imageDetails.getImageId());
        if (imageIdForTraining == null) {
            imageIdForTraining = imageDetails.getImageId();
        }
    }
    try {
        Long top = 64L;
        Long left = 270L;
        Long width = 755L;
        Long height = 784L;
        Location testLocation = new Location.Builder().top(top).left(left).width(width).height(height).build();
        TrainingDataObject trainingDataObject = new TrainingDataObject.Builder().object(GIRAFFE_CLASSNAME).location(testLocation).build();
        // test adding training data
        AddImageTrainingDataOptions addTrainingDataOptions = new AddImageTrainingDataOptions.Builder().collectionId(testCollectionId).addObjects(trainingDataObject).imageId(imageIdForTraining).build();
        TrainingDataObjects trainingDataObjects = service.addImageTrainingData(addTrainingDataOptions).execute().getResult();
        assertNotNull(trainingDataObjects);
        assertEquals(GIRAFFE_CLASSNAME, trainingDataObjects.getObjects().get(0).object());
        assertEquals(top, trainingDataObjects.getObjects().get(0).location().top());
        assertEquals(left, trainingDataObjects.getObjects().get(0).location().left());
        assertEquals(width, trainingDataObjects.getObjects().get(0).location().width());
        assertEquals(height, trainingDataObjects.getObjects().get(0).location().height());
        // test train
        TrainOptions trainOptions = new TrainOptions.Builder().collectionId(testCollectionId).build();
        Collection trainingCollection = service.train(trainOptions).execute().getResult();
        assertNotNull(trainingCollection);
        assertTrue(trainingCollection.getTrainingStatus().getObjects().inProgress() || trainingCollection.getTrainingStatus().getObjects().ready());
    } finally {
        // delete images we added earlier
        for (String imageId : addedImageIds) {
            DeleteImageOptions deleteImageOptions = new DeleteImageOptions.Builder().collectionId(testCollectionId).imageId(imageId).build();
            service.deleteImage(deleteImageOptions).execute();
        }
        deleteTestCollection(testCollectionId);
    }
}

Example 2 with TrainingDataObject

use of com.ibm.watson.visual_recognition.v4.model.TrainingDataObject in project java-sdk by watson-developer-cloud.

the class VisualRecognitionTest method testAddImageTrainingDataWOptions.

@Test
public void testAddImageTrainingDataWOptions() throws Throwable {
    // Schedule some responses.
    String mockResponseBody = "{\"objects\": [{\"object\": \"object\", \"location\": {\"top\": 3, \"left\": 4, \"width\": 5, \"height\": 6}}]}";
    String addImageTrainingDataPath = "/v4/collections/testString/images/testString/training_data";
    server.enqueue(new MockResponse().setHeader("Content-type", "application/json").setResponseCode(200).setBody(mockResponseBody));
    constructClientService();
    // Construct an instance of the Location model
    Location locationModel = new Location.Builder().top(Long.valueOf("26")).left(Long.valueOf("26")).width(Long.valueOf("26")).height(Long.valueOf("26")).build();
    // Construct an instance of the TrainingDataObject model
    TrainingDataObject trainingDataObjectModel = new TrainingDataObject.Builder().object("testString").location(locationModel).build();
    // Construct an instance of the AddImageTrainingDataOptions model
    AddImageTrainingDataOptions addImageTrainingDataOptionsModel = new AddImageTrainingDataOptions.Builder().collectionId("testString").imageId("testString").objects(new java.util.ArrayList<TrainingDataObject>(java.util.Arrays.asList(trainingDataObjectModel))).build();
    // Invoke operation with valid options model (positive test)
    Response<TrainingDataObjects> response = visualRecognitionService.addImageTrainingData(addImageTrainingDataOptionsModel).execute();
    assertNotNull(response);
    TrainingDataObjects responseObj = response.getResult();
    assertNotNull(responseObj);
    // Verify the contents of the request
    RecordedRequest request = server.takeRequest();
    assertNotNull(request);
    assertEquals(request.getMethod(), "POST");
    // Check query
    Map<String, String> query = TestUtilities.parseQueryString(request);
    assertNotNull(query);
    // Get query params
    assertEquals(query.get("version"), "testString");
    // Check request path
    String parsedPath = TestUtilities.parseReqPath(request);
    assertEquals(parsedPath, addImageTrainingDataPath);
}