cognitivej.vision.face.scenario.FaceScenarios.java Source code

Java tutorial

Introduction

Here is the source code for cognitivej.vision.face.scenario.FaceScenarios.java

Source

/*
 *
 *                                  Apache License
 *                            Version 2.0, January 2004
 *                         http://www.apache.org/licenses/
 *
 *    TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
 *
 *    1. Definitions.
 *
 *       "License" shall mean the terms and conditions for use, reproduction,
 *       and distribution as defined by Sections 1 through 9 of this document.
 *
 *       "Licensor" shall mean the copyright owner or entity authorized by
 *       the copyright owner that is granting the License.
 *
 *       "Legal Entity" shall mean the union of the acting entity and all
 *       other entities that control, are controlled by, or are under common
 *       control with that entity. For the purposes of this definition,
 *       "control" means (i) the power, direct or indirect, to cause the
 *       direction or management of such entity, whether by contract or
 *       otherwise, or (ii) ownership of fifty percent (50%) or more of the
 *       outstanding shares, or (iii) beneficial ownership of such entity.
 *
 *       "You" (or "Your") shall mean an individual or Legal Entity
 *       exercising permissions granted by this License.
 *
 *       "Source" form shall mean the preferred form for making modifications,
 *       including but not limited to software source code, documentation
 *       source, and configuration files.
 *
 *       "Object" form shall mean any form resulting from mechanical
 *       transformation or translation of a Source form, including but
 *       not limited to compiled object code, generated documentation,
 *       and conversions to other media types.
 *
 *       "Work" shall mean the work of authorship, whether in Source or
 *       Object form, made available under the License, as indicated by a
 *       copyright notice that is included in or attached to the work
 *       (an example is provided in the Appendix below).
 *
 *       "Derivative Works" shall mean any work, whether in Source or Object
 *       form, that is based on (or derived from) the Work and for which the
 *       editorial revisions, annotations, elaborations, or other modifications
 *       represent, as a whole, an original work of authorship. For the purposes
 *       of this License, Derivative Works shall not include works that remain
 *       separable from, or merely link (or bind by name) to the interfaces of,
 *       the Work and Derivative Works thereof.
 *
 *       "Contribution" shall mean any work of authorship, including
 *       the original version of the Work and any modifications or additions
 *       to that Work or Derivative Works thereof, that is intentionally
 *       submitted to Licensor for inclusion in the Work by the copyright owner
 *       or by an individual or Legal Entity authorized to submit on behalf of
 *       the copyright owner. For the purposes of this definition, "submitted"
 *       means any form of electronic, verbal, or written communication sent
 *       to the Licensor or its representatives, including but not limited to
 *       communication on electronic mailing lists, source code control systems,
 *       and issue tracking systems that are managed by, or on behalf of, the
 *       Licensor for the purpose of discussing and improving the Work, but
 *       excluding communication that is conspicuously marked or otherwise
 *       designated in writing by the copyright owner as "Not a Contribution."
 *
 *       "Contributor" shall mean Licensor and any individual or Legal Entity
 *       on behalf of whom a Contribution has been received by Licensor and
 *       subsequently incorporated within the Work.
 *
 *    2. Grant of Copyright License. Subject to the terms and conditions of
 *       this License, each Contributor hereby grants to You a perpetual,
 *       worldwide, non-exclusive, no-charge, royalty-free, irrevocable
 *       copyright license to reproduce, prepare Derivative Works of,
 *       publicly display, publicly perform, sublicense, and distribute the
 *       Work and such Derivative Works in Source or Object form.
 *
 *    3. Grant of Patent License. Subject to the terms and conditions of
 *       this License, each Contributor hereby grants to You a perpetual,
 *       worldwide, non-exclusive, no-charge, royalty-free, irrevocable
 *       (except as stated in this section) patent license to make, have made,
 *       use, offer to sell, sell, import, and otherwise transfer the Work,
 *       where such license applies only to those patent claims licensable
 *       by such Contributor that are necessarily infringed by their
 *       Contribution(s) alone or by combination of their Contribution(s)
 *       with the Work to which such Contribution(s) was submitted. If You
 *       institute patent litigation against any entity (including a
 *       cross-claim or counterclaim in a lawsuit) alleging that the Work
 *       or a Contribution incorporated within the Work constitutes direct
 *       or contributory patent infringement, then any patent licenses
 *       granted to You under this License for that Work shall terminate
 *       as of the date such litigation is filed.
 *
 *    4. Redistribution. You may reproduce and distribute copies of the
 *       Work or Derivative Works thereof in any medium, with or without
 *       modifications, and in Source or Object form, provided that You
 *       meet the following conditions:
 *
 *       (a) You must give any other recipients of the Work or
 *           Derivative Works a copy of this License; and
 *
 *       (b) You must cause any modified files to carry prominent notices
 *           stating that You changed the files; and
 *
 *       (c) You must retain, in the Source form of any Derivative Works
 *           that You distribute, all copyright, patent, trademark, and
 *           attribution notices from the Source form of the Work,
 *           excluding those notices that do not pertain to any part of
 *           the Derivative Works; and
 *
 *       (d) If the Work includes a "NOTICE" text file as part of its
 *           distribution, then any Derivative Works that You distribute must
 *           include a readable copy of the attribution notices contained
 *           within such NOTICE file, excluding those notices that do not
 *           pertain to any part of the Derivative Works, in at least one
 *           of the following places: within a NOTICE text file distributed
 *           as part of the Derivative Works; within the Source form or
 *           documentation, if provided along with the Derivative Works; or,
 *           within a display generated by the Derivative Works, if and
 *           wherever such third-party notices normally appear. The contents
 *           of the NOTICE file are for informational purposes only and
 *           do not modify the License. You may add Your own attribution
 *           notices within Derivative Works that You distribute, alongside
 *           or as an addendum to the NOTICE text from the Work, provided
 *           that such additional attribution notices cannot be construed
 *           as modifying the License.
 *
 *       You may add Your own copyright statement to Your modifications and
 *       may provide additional or different license terms and conditions
 *       for use, reproduction, or distribution of Your modifications, or
 *       for any such Derivative Works as a whole, provided Your use,
 *       reproduction, and distribution of the Work otherwise complies with
 *       the conditions stated in this License.
 *
 *    5. Submission of Contributions. Unless You explicitly state otherwise,
 *       any Contribution intentionally submitted for inclusion in the Work
 *       by You to the Licensor shall be under the terms and conditions of
 *       this License, without any additional terms or conditions.
 *       Notwithstanding the above, nothing herein shall supersede or modify
 *       the terms of any separate license agreement you may have executed
 *       with Licensor regarding such Contributions.
 *
 *    6. Trademarks. This License does not grant permission to use the trade
 *       names, trademarks, service marks, or product names of the Licensor,
 *       except as required for reasonable and customary use in describing the
 *       origin of the Work and reproducing the content of the NOTICE file.
 *
 *    7. Disclaimer of Warranty. Unless required by applicable law or
 *       agreed to in writing, Licensor provides the Work (and each
 *       Contributor provides its Contributions) on an "AS IS" BASIS,
 *       WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
 *       implied, including, without limitation, any warranties or conditions
 *       of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
 *       PARTICULAR PURPOSE. You are solely responsible for determining the
 *       appropriateness of using or redistributing the Work and assume any
 *       risks associated with Your exercise of permissions under this License.
 *
 *    8. Limitation of Liability. In no event and under no legal theory,
 *       whether in tort (including negligence), contract, or otherwise,
 *       unless required by applicable law (such as deliberate and grossly
 *       negligent acts) or agreed to in writing, shall any Contributor be
 *       liable to You for damages, including any direct, indirect, special,
 *       incidental, or consequential damages of any character arising as a
 *       result of this License or out of the use or inability to use the
 *       Work (including but not limited to damages for loss of goodwill,
 *       work stoppage, computer failure or malfunction, or any and all
 *       other commercial damages or losses), even if such Contributor
 *       has been advised of the possibility of such damages.
 *
 *    9. Accepting Warranty or Additional Liability. While redistributing
 *       the Work or Derivative Works thereof, You may choose to offer,
 *       and charge a fee for, acceptance of support, warranty, indemnity,
 *       or other liability obligations and/or rights consistent with this
 *       License. However, in accepting such obligations, You may act only
 *       on Your own behalf and on Your sole responsibility, not on behalf
 *       of any other Contributor, and only if You agree to indemnify,
 *       defend, and hold each Contributor harmless for any liability
 *       incurred by, or claims asserted against, such Contributor by reason
 *       of your accepting any such warranty or additional liability.
 *
 *    END OF TERMS AND CONDITIONS
 *
 *    APPENDIX: How to apply the Apache License to your work.
 *
 *       To apply the Apache License to your work, attach the following
 *       boilerplate notice, with the fields enclosed by brackets "[]"
 *       replaced with your own identifying information. (Don't include
 *       the brackets!)  The text should be enclosed in the appropriate
 *       comment syntax for the file format. We also recommend that a
 *       file or class name and description of purpose be included on the
 *       same "printed page" as the copyright notice for easier
 *       identification within third-party archives.
 *
 *    Copyright 2016 Ian Kelly
 *
 *    Licensed under the Apache License, Version 2.0 (the "License");
 *    you may not use this file except in compliance with the License.
 *    You may obtain a copy of the License at
 *
 *        http://www.apache.org/licenses/LICENSE-2.0
 *
 *    Unless required by applicable law or agreed to in writing, software
 *    distributed under the License is distributed on an "AS IS" BASIS,
 *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *    See the License for the specific language governing permissions and
 *    limitations under the License.
 */

package cognitivej.vision.face.scenario;

import cognitivej.core.Utils;
import cognitivej.core.Validation;
import cognitivej.core.error.exceptions.ParameterValidationException;
import cognitivej.vision.emotion.Emotion;
import cognitivej.vision.emotion.EmotionBuilder;
import cognitivej.vision.face.CognitiveContext;
import cognitivej.vision.face.facelist.FaceList;
import cognitivej.vision.face.facelist.FaceListBuilder;
import cognitivej.vision.face.facelist.error.FaceListNotFoundException;
import cognitivej.vision.face.person.Person;
import cognitivej.vision.face.person.PersonBuilder;
import cognitivej.vision.face.persongroup.PersonGroup;
import cognitivej.vision.face.persongroup.PersonGroupBuilder;
import cognitivej.vision.face.persongroup.error.PersonGroupNotFoundException;
import cognitivej.vision.face.task.*;
import cognitivej.vision.face.task.error.SingleFaceNotFoundException;
import cognitivej.vision.overlay.builder.ImageNotFoundException;
import org.apache.commons.lang3.RandomStringUtils;
import org.jetbrains.annotations.NotNull;
import org.jetbrains.annotations.Nullable;

import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;

/**
 * Holds a collection of useful scenarios when using face (see documentation for specifics)
 */
public class FaceScenarios {

    private FaceListBuilder faceListBuilder;
    private PersonGroupBuilder personGroupBuilder;
    private PersonBuilder personBuilder;
    private FaceTaskBuilder faceTaskBuilder;
    private EmotionBuilder emotionBuilder;

    /**
     * @param faceSubscriptionKey    your MS Cognitive key(s) - Signup here -https://www.microsoft.com/cognitive-services/en-us/face-api
     * @param emotionSubscriptionKey the emotion subscription key
     */
    public FaceScenarios(@NotNull String faceSubscriptionKey, @Nullable String emotionSubscriptionKey) {
        CognitiveContext faceCognitiveContext = CognitiveContext.build(faceSubscriptionKey);
        faceListBuilder = new FaceListBuilder(faceCognitiveContext);
        personGroupBuilder = new PersonGroupBuilder(faceCognitiveContext);
        faceTaskBuilder = new FaceTaskBuilder(faceCognitiveContext);
        personBuilder = new PersonBuilder(faceCognitiveContext);
        emotionBuilder = new EmotionBuilder(CognitiveContext.build(emotionSubscriptionKey));
    }

    /**
     * Creates a {@link cognitivej.vision.face.facelist.FaceList} and add a number of images to the newly created list.
     *
     * @param faceListName  - the name of the face list to be created.
     * @param holdingImages - a list of file of type {@link ImageHolder}
     * @return the faceListId of the created {@link cognitivej.vision.face.facelist.FaceList}.
     */
    public String createFaceListAndAddFiles(String faceListName, List<ImageHolder> holdingImages) {
        String faceListId = String.format("%s_%s_%s", faceListName,
                RandomStringUtils.randomAlphabetic(3).toLowerCase(), RandomStringUtils.randomNumeric(3));
        faceListBuilder.createFaceList(faceListId, faceListName, null).withNoResult();
        holdingImages.forEach((ImageHolder it) -> {
            if (it.firstImage().isLocalFile())
                faceListBuilder.addFaceToFaceList(faceListId, it.getUserData(), "",
                        Utils.fileToFileInputStream((File) it.firstImage().getImage())).withNoResult();
            else
                faceListBuilder
                        .addFaceToFaceList(faceListId, it.getUserData(), "", (String) it.firstImage().getImage())
                        .withNoResult();
        });
        return faceListId;
    }

    public Person createPersonInGroup(final String personGroupId, String personName, boolean createGroupIfMissing) {
        if (createGroupIfMissing) {
            boolean exists = !Utils.throwsException(() -> personGroupBuilder.getGroup(personGroupId),
                    PersonGroupNotFoundException.class);
            if (!exists) {
                personGroupBuilder.createGroup(personGroupId, personGroupId, "");
            }
        }
        return personBuilder.createPerson(personGroupId, personName, "").withResult();
    }

    /**
     * Create a new group from a set of people
     *
     * @param personGroupId the person group id
     * @param people        the people in the group
     * @return The created personGroupId
     */
    public String createGroupWithPeople(@NotNull String personGroupId, @NotNull People people) {
        Validation.validateArray(people.simplePersons(), 1, 1000,
                new ParameterValidationException("people", "People list is invalid. min 1, max 1000"));
        boolean exists = !Utils.throwsException(() -> personGroupBuilder.getGroup(personGroupId).withResult(),
                PersonGroupNotFoundException.class);
        if (!exists) {
            personGroupBuilder.createGroup(personGroupId, personGroupId, "").withNoResult();
        }
        people.simplePersons().stream().forEach(simplePerson -> {
            Person person = personBuilder
                    .createPerson(personGroupId, simplePerson.personName, simplePerson.personUserData).withResult();
            List<ImageHolder> personImages = simplePerson.personImages;
            for (ImageHolder imageHolder : personImages) {
                if (imageHolder.firstImage().isLocalFile())
                    personBuilder.addFaceToPerson(personGroupId, person.personId, "",
                            (File) imageHolder.firstImage().getImage()).withNoResult();
                else
                    personBuilder.addFaceToPerson(personGroupId, person.personId, "",
                            (String) imageHolder.firstImage().getImage()).withNoResult();
            }
        });
        personGroupBuilder.trainGroup(personGroupId).withNoResult();
        return personGroupId;
    }

    public void createGroupWithFromVisionImages(@NotNull String faceListId,
            @NotNull List<VisionImage> visionImages) {
        Validation.validateArray(visionImages, 1, 1000,
                new ParameterValidationException("visionImages", "Face list is invalid. min 1, max 1000"));
        boolean exists = !Utils.throwsException(() -> faceListBuilder.getFaceList(faceListId).withResult(),
                FaceListNotFoundException.class);
        if (!exists) {
            faceListBuilder.createFaceList(faceListId, faceListId, "").withNoResult();
        }

        visionImages.forEach(it -> {
            if (it.isLocalFile())
                faceListBuilder
                        .addFaceToFaceList(faceListId, "", "", Utils.fileToFileInputStream((File) it.getImage()))
                        .withNoResult();
            else
                faceListBuilder.addFaceToFaceList(faceListId, "", "", (String) it.getImage()).withNoResult();
        });
    }

    /**
     * Find a single face within a given url
     *
     * @param imageUrl the url to find the single face.
     * @return the found face
     * @throws SingleFaceNotFoundException If a single face is not found
     */
    @NotNull
    public Face findSingleFace(@NotNull String imageUrl) {
        List<Face> faces = faceTaskBuilder.detectFace(true, true, FaceAttributes.ALL, imageUrl).withResult();
        if (Utils.isEmpty(faces) || faces.size() > 1)
            throw new SingleFaceNotFoundException(Utils.isEmpty(faces) ? 0 : faces.size(),
                    "a single face was not present");
        return faces.get(0);
    }

    /**
     * @param file - the Image
     * @see FaceScenarios#findSingleFace(String)
     * @return Face
     */
    @NotNull
    public Face findSingleFace(@NotNull File file) {
        Face singleFace;
        try {
            singleFace = findSingleFace(new FileInputStream(file));
        } catch (FileNotFoundException e) {
            throw new ImageNotFoundException(file);
        }
        return singleFace;
    }

    /**
     * @param image - the Image (as an inputStream
     * @see FaceScenarios#findSingleFace(String)
     * @return Face
     */
    @NotNull
    public Face findSingleFace(@NotNull InputStream image) {
        List<Face> faces = faceTaskBuilder.detectFace(true, true, FaceAttributes.ALL, image).withResult();
        if (Utils.isEmpty(faces) || faces.size() > 1)
            throw new SingleFaceNotFoundException(Utils.isEmpty(faces) ? 0 : faces.size(),
                    "a single face was not present");
        return faces.get(0);
    }

    /**
     * Find a faces within a local image
     *
     * @param image the local image
     * @return the found faces
     */
    @NotNull
    public List<Face> findFaces(@NotNull InputStream image) {
        return faceTaskBuilder.detectFace(true, true, FaceAttributes.ALL, image).withResult();
    }

    /**
     * Find a faces within a local image
     *
     * @param image the local image
     * @return the found emotion faces
     */
    @NotNull
    public List<Emotion> findEmotionFaces(@NotNull InputStream image) {
        return emotionBuilder.emotionRecognition(image).withResult();
    }

    /**
     * Find a faces within a local image
     *
     * @param image the image URL
     * @return the found emotion faces
     */
    @NotNull
    public List<Emotion> findEmotionFaces(@NotNull String image) {
        return emotionBuilder.emotionRecognition(image).withResult();
    }

    /**
     * Find a faces within a local image
     *
     * @param image the image URL
     * @return the found faces
     */
    @NotNull
    public Emotion findEmotionSingleFace(@NotNull String image) {
        List<Emotion> emotions = emotionBuilder.emotionRecognition(image).withResult();
        if (Utils.isEmpty(emotions) || emotions.size() > 1)
            throw new SingleFaceNotFoundException(Utils.isEmpty(emotions) ? 0 : emotions.size(),
                    "a single face was not present");
        return emotions.get(0);
    }

    /**
     * Find faces within a given url
     *
     * @param imageUrl the url of face(s)
     * @return the found faces
     */

    public List<Face> findFaces(@NotNull String imageUrl) {
        return faceTaskBuilder.detectFace(true, true, FaceAttributes.ALL, imageUrl).withResult();
    }

    /**
     * Verifies 2 different faces to see if they are the same person
     *
     * @param face1Url - the first face
     * @param face2Url - the second face.
     * @return a verificationset.
     * @throws SingleFaceNotFoundException - if any 1 of the 2 images don't contain excatly 1 face
     */
    @NotNull
    public VerificationSet verifyFaces(@NotNull String face1Url, @NotNull String face2Url) {
        Face firstFace = findSingleFace(face1Url);
        Face secondFace = findSingleFace(face2Url);
        Verification verification = faceTaskBuilder.verifyFace(firstFace.faceId, secondFace.faceId).withResult();
        return new VerificationSet(firstFace, secondFace, verification);
    }

    /**
     * Identifies a person in a group.
     *
     * @param personGroupId the group of candidates.
     * @param imageUrl      the image url
     * @return an {@link IdentificationSet}
     * @throws SingleFaceNotFoundException if 1 face is not found in the image.
     */
    @NotNull
    public IdentificationSet identifyPersonInGroup(@NotNull String personGroupId, @NotNull String imageUrl) {
        Face singleFace = findSingleFace(imageUrl);
        return identifyPersonInGroup(personGroupId, singleFace);
    }

    /**
     * Finds similar people from a list of faces.
     *
     * @param faceListId the created face list id.
     * @param imageUrl   the image url
     * @return an {@link FindSimilarSet}
     * @throws SingleFaceNotFoundException if 1 face is not found in the image.
     */
    @NotNull
    public FindSimilarSet findSimilar(@NotNull String faceListId, @NotNull String imageUrl) {
        Face singleFace = findSingleFace(imageUrl);
        List<FindSimilar> result = faceTaskBuilder
                .findSimilarFace(singleFace.faceId, Collections.emptyList(), faceListId, 20).withResult();
        FaceList faceList = faceListBuilder.getFaceList(faceListId).withResult();
        return new FindSimilarSet(singleFace, faceList, result);
    }

    /**
     * Groups Single Face Images into groups.
     *
     * @param images the image urls (as a list).
     * @return a biuild {@link FaceGroupingSet}
     */
    @NotNull
    public FaceGroupingSet groupFaceListOnSingleFace(List<String> images) {
        List<ImageAndFace> imageAndFaces = new ArrayList<>();
        for (String image : images) {
            imageAndFaces.add(new ImageAndFace<>(image, findSingleFace(image)));
        }
        List<String> faceIds = imageAndFaces.parallelStream().map(it -> it.getFace().faceId)
                .collect(Collectors.toList());
        FaceGrouping groupings = faceTaskBuilder.groupFaces(faceIds).withResult();
        return new FaceGroupingSet(imageAndFaces, groupings);
    }

    @NotNull
    public IdentificationSet identifyPersonInGroup(@NotNull String personGroupId, @NotNull InputStream image) {
        Face singleFace = findSingleFace(image);
        return identifyPersonInGroup(personGroupId, singleFace);
    }

    @NotNull
    private IdentificationSet identifyPersonInGroup(@NotNull String personGroupId, @NotNull Face singleFace) {
        Identification identification = Utils.elementAt(faceTaskBuilder
                .identifyFaces(Collections.singletonList(singleFace.faceId), personGroupId, 1).withResult(), 0);
        if (identification != null && Utils.isNotEmpty(identification.candidates))
            return new IdentificationSet(singleFace, identification,
                    personBuilder.getPerson(personGroupId, identification.candidates.get(0).personId).withResult());
        return new IdentificationSet(singleFace, identification);
    }

    @NotNull
    public List<IdentificationSet> identifyPersonsInGroup(@NotNull String personGroupId,
            @NotNull List<Face> faces) {
        Validation.validateArray(faces, 1, 10,
                new ParameterValidationException("faces", "Max of 10 faces allowed"));
        List<Identification> collection = faceTaskBuilder
                .identifyFaces(Utils.extractFaceIds(faces), personGroupId, 1).withResult();
        return buildIdentificationList(personGroupId, faces, collection);
    }

    @NotNull
    public List<IdentificationSet> identifyPersonsInGroup(@NotNull String personGroupId, @NotNull String imageUrl) {
        return identifyPersonsInGroup(personGroupId, findFaces(imageUrl));
    }

    @NotNull
    private List<IdentificationSet> buildIdentificationList(@NotNull String personGroupId,
            @NotNull List<Face> faces, @NotNull List<Identification> identificationList) {
        List<IdentificationSet> identificationSetList = new ArrayList<>();
        for (Identification identification : identificationList) {
            Optional<Face> first = faces.stream().filter(x -> x.faceId.equals(identification.faceId)).findFirst();
            identificationSetList.add(new IdentificationSet(first.get(), identification,
                    Utils.isNotEmpty(identification.candidates)
                            ? personBuilder.getPerson(personGroupId, identification.candidates.get(0).personId)
                                    .withResult()
                            : null));
            System.out.println(identification);
        }
        return identificationSetList;
    }

    /**
     * Warning - this will delete all {@link PersonGroup} on the server
     */
    public void deleteAllGroups() {
        List<PersonGroup> personGroups = personGroupBuilder.listGroups().withResult();
        for (PersonGroup personGroup : personGroups) {
            personGroupBuilder.deleteGroup(personGroup.personGroupId);
        }
    }

    /**
     * Warning - this will delete all {@link cognitivej.vision.face.facelist.FaceList} on the server
     */
    public void deleteAllFaceLists() {
        List<FaceList> faceLists = faceListBuilder.listFaceLists().withResult();
        for (FaceList faceList : faceLists) {
            faceListBuilder.deleteFaceList(faceList.faceListId).withNoResult();
        }
    }

    /**
     * Deletes the passed group.
     *
     * @param groupId - the group Id.
     */
    public void deleteGroup(@NotNull String groupId) {
        personGroupBuilder.deleteGroup(groupId).withNoResult();
    }

    /**
     * returns all facelists.
     *
     * @return all faceslist for this account.
     */
    @NotNull
    public List<FaceList> getAllFaceLists() {
        return faceListBuilder.listFaceLists().withResult();
    }

    /**
     * Deletes a faceList
     *
     * @param faceListId the facelist to be deleted
     */
    public void deleteFaceList(@NotNull String faceListId) {
        faceListBuilder.deleteFaceList(faceListId).withNoResult();
    }

    @NotNull
    public List<Face> findFaces(@NotNull File imageFile) {
        return findFaces(Utils.fileToFileInputStream(imageFile));
    }

    /**
     * returns the underlying {@link FaceListBuilder}
     *
     * @return the {@link FaceListBuilder}
     */
    @NotNull
    public FaceListBuilder faceList() {
        return faceListBuilder;
    }

    /**
     * returns the underlying {@link PersonGroupBuilder}
     *
     * @return the {@link PersonGroupBuilder}
     */
    @NotNull
    public PersonGroupBuilder personGroup() {
        return personGroupBuilder;
    }

    /**
     * returns the underlying {@link PersonBuilder}
     *
     * @return the {@link PersonBuilder}
     */
    @NotNull
    public PersonBuilder person() {
        return personBuilder;
    }

    /**
     * returns the underlying {@link FaceTaskBuilder}
     *
     * @return the {@link FaceTaskBuilder}
     */
    @NotNull
    public FaceTaskBuilder faceTask() {
        return faceTaskBuilder;
    }
}