Examples with Track com.google.cloud.videointelligence.v1p3beta1.Track used on opensource projects

Example 6 with Track

use of com.google.cloud.videointelligence.v1p3beta1.Track in project java-video-intelligence by googleapis.

the class LogoDetectionGcs method detectLogoGcs.

public static void detectLogoGcs(String inputUri) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Create the request
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(inputUri).addFeatures(Feature.LOGO_RECOGNITION).build();
        // asynchronously perform object tracking on videos
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        // The first result is retrieved because a single video was processed.
        AnnotateVideoResponse response = future.get(300, TimeUnit.SECONDS);
        VideoAnnotationResults annotationResult = response.getAnnotationResults(0);
        // Annotations for list of logos detected, tracked and recognized in video.
        for (LogoRecognitionAnnotation logoRecognitionAnnotation : annotationResult.getLogoRecognitionAnnotationsList()) {
            Entity entity = logoRecognitionAnnotation.getEntity();
            // Opaque entity ID. Some IDs may be available in
            // [Google Knowledge Graph Search API](https://developers.google.com/knowledge-graph/).
            System.out.printf("Entity Id : %s\n", entity.getEntityId());
            System.out.printf("Description : %s\n", entity.getDescription());
            // instance appearing in consecutive frames.
            for (Track track : logoRecognitionAnnotation.getTracksList()) {
                // Video segment of a track.
                Duration startTimeOffset = track.getSegment().getStartTimeOffset();
                System.out.printf("\n\tStart Time Offset: %s.%s\n", startTimeOffset.getSeconds(), startTimeOffset.getNanos());
                Duration endTimeOffset = track.getSegment().getEndTimeOffset();
                System.out.printf("\tEnd Time Offset: %s.%s\n", endTimeOffset.getSeconds(), endTimeOffset.getNanos());
                System.out.printf("\tConfidence: %s\n", track.getConfidence());
                // The object with timestamp and attributes per frame in the track.
                for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
                    // Normalized Bounding box in a frame, where the object is located.
                    NormalizedBoundingBox normalizedBoundingBox = timestampedObject.getNormalizedBoundingBox();
                    System.out.printf("\n\t\tLeft: %s\n", normalizedBoundingBox.getLeft());
                    System.out.printf("\t\tTop: %s\n", normalizedBoundingBox.getTop());
                    System.out.printf("\t\tRight: %s\n", normalizedBoundingBox.getRight());
                    System.out.printf("\t\tBottom: %s\n", normalizedBoundingBox.getBottom());
                    // Optional. The attributes of the object in the bounding box.
                    for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
                        System.out.printf("\n\t\t\tName: %s\n", attribute.getName());
                        System.out.printf("\t\t\tConfidence: %s\n", attribute.getConfidence());
                        System.out.printf("\t\t\tValue: %s\n", attribute.getValue());
                    }
                }
                // Optional. Attributes in the track level.
                for (DetectedAttribute trackAttribute : track.getAttributesList()) {
                    System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
                    System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
                    System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
                }
            }
            // of the same logo class appearing in one VideoSegment.
            for (VideoSegment segment : logoRecognitionAnnotation.getSegmentsList()) {
                System.out.printf("\n\tStart Time Offset : %s.%s\n", segment.getStartTimeOffset().getSeconds(), segment.getStartTimeOffset().getNanos());
                System.out.printf("\tEnd Time Offset : %s.%s\n", segment.getEndTimeOffset().getSeconds(), segment.getEndTimeOffset().getNanos());
            }
        }
    }
}

Example 7 with Track

use of com.google.cloud.videointelligence.v1p3beta1.Track in project java-video-intelligence by googleapis.

the class DetectFaces method detectFaces.

// Detects faces in a video stored in a local file using the Cloud Video Intelligence API.
public static void detectFaces(String localFilePath) throws Exception {
    try (VideoIntelligenceServiceClient videoIntelligenceServiceClient = VideoIntelligenceServiceClient.create()) {
        // Reads a local video file and converts it to base64.
        Path path = Paths.get(localFilePath);
        byte[] data = Files.readAllBytes(path);
        ByteString inputContent = ByteString.copyFrom(data);
        FaceDetectionConfig faceDetectionConfig = FaceDetectionConfig.newBuilder().setIncludeBoundingBoxes(true).setIncludeAttributes(true).build();
        VideoContext videoContext = VideoContext.newBuilder().setFaceDetectionConfig(faceDetectionConfig).build();
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(inputContent).addFeatures(Feature.FACE_DETECTION).setVideoContext(videoContext).build();
        // Detects faces in a video
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future = videoIntelligenceServiceClient.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        AnnotateVideoResponse response = future.get();
        // Gets annotations for video
        VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
        // Annotations for list of faces detected, tracked and recognized in video.
        for (FaceDetectionAnnotation faceDetectionAnnotation : annotationResult.getFaceDetectionAnnotationsList()) {
            System.out.print("Face detected:\n");
            for (Track track : faceDetectionAnnotation.getTracksList()) {
                VideoSegment segment = track.getSegment();
                System.out.printf("\tStart: %d.%.0fs\n", segment.getStartTimeOffset().getSeconds(), segment.getStartTimeOffset().getNanos() / 1e6);
                System.out.printf("\tEnd: %d.%.0fs\n", segment.getEndTimeOffset().getSeconds(), segment.getEndTimeOffset().getNanos() / 1e6);
                // Each segment includes timestamped objects that
                // include characteristics of the face detected.
                TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
                for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
                    // Attributes include glasses, headwear, smiling, direction of gaze
                    System.out.printf("\tAttribute %s: %s %s\n", attribute.getName(), attribute.getValue(), attribute.getConfidence());
                }
            }
        }
    }
}

Example 8 with Track

use of com.google.cloud.videointelligence.v1p3beta1.Track in project java-video-intelligence by googleapis.

the class DetectFacesGcs method detectFacesGcs.

// Detects faces in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.
public static void detectFacesGcs(String gcsUri) throws Exception {
    try (VideoIntelligenceServiceClient videoIntelligenceServiceClient = VideoIntelligenceServiceClient.create()) {
        FaceDetectionConfig faceDetectionConfig = FaceDetectionConfig.newBuilder().setIncludeBoundingBoxes(true).setIncludeAttributes(true).build();
        VideoContext videoContext = VideoContext.newBuilder().setFaceDetectionConfig(faceDetectionConfig).build();
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.FACE_DETECTION).setVideoContext(videoContext).build();
        // Detects faces in a video
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future = videoIntelligenceServiceClient.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        AnnotateVideoResponse response = future.get();
        // Gets annotations for video
        VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
        // Annotations for list of people detected, tracked and recognized in video.
        for (FaceDetectionAnnotation faceDetectionAnnotation : annotationResult.getFaceDetectionAnnotationsList()) {
            System.out.print("Face detected:\n");
            for (Track track : faceDetectionAnnotation.getTracksList()) {
                VideoSegment segment = track.getSegment();
                System.out.printf("\tStart: %d.%.0fs\n", segment.getStartTimeOffset().getSeconds(), segment.getStartTimeOffset().getNanos() / 1e6);
                System.out.printf("\tEnd: %d.%.0fs\n", segment.getEndTimeOffset().getSeconds(), segment.getEndTimeOffset().getNanos() / 1e6);
                // Each segment includes timestamped objects that
                // include characteristics of the face detected.
                TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
                for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
                    // Attributes include glasses, headwear, smiling, direction of gaze
                    System.out.printf("\tAttribute %s: %s %s\n", attribute.getName(), attribute.getValue(), attribute.getConfidence());
                }
            }
        }
    }
}

Example 9 with Track

use of com.google.cloud.videointelligence.v1p3beta1.Track in project java-video-intelligence by googleapis.

the class DetectLogo method detectLogo.

public static void detectLogo(String localFilePath) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Read the files contents
        Path path = Paths.get(localFilePath);
        byte[] data = Files.readAllBytes(path);
        ByteString inputContent = ByteString.copyFrom(data);
        // Build the request with the inputContent and set the Feature
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(inputContent).addFeatures(Feature.LOGO_RECOGNITION).build();
        // Make the asynchronous request
        AnnotateVideoResponse response = client.annotateVideoAsync(request).get();
        // Get the first response, since we sent only one video.
        VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
        // Annotations for list of logos detected, tracked and recognized in the video.
        for (LogoRecognitionAnnotation logoRecognitionAnnotation : annotationResult.getLogoRecognitionAnnotationsList()) {
            Entity entity = logoRecognitionAnnotation.getEntity();
            // Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
            // API](https://developers.google.com/knowledge-graph/).
            System.out.printf("Entity Id: %s\n", entity.getEntityId());
            System.out.printf("Description: %s\n", entity.getDescription());
            // instance appearing in consecutive frames.
            for (Track track : logoRecognitionAnnotation.getTracksList()) {
                // Video segment of a track.
                VideoSegment segment = track.getSegment();
                Duration segmentStartTimeOffset = segment.getStartTimeOffset();
                System.out.printf("\n\tStart Time Offset: %s.%s\n", segmentStartTimeOffset.getSeconds(), segmentStartTimeOffset.getNanos());
                Duration segmentEndTimeOffset = segment.getEndTimeOffset();
                System.out.printf("\tEnd Time Offset: %s.%s\n", segmentEndTimeOffset.getSeconds(), segmentEndTimeOffset.getNanos());
                System.out.printf("\tConfidence: %s\n", track.getConfidence());
                // The object with timestamp and attributes per frame in the track.
                for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
                    // Normalized Bounding box in a frame, where the object is located.
                    NormalizedBoundingBox normalizedBoundingBox = timestampedObject.getNormalizedBoundingBox();
                    System.out.printf("\n\t\tLeft: %s\n", normalizedBoundingBox.getLeft());
                    System.out.printf("\t\tTop: %s\n", normalizedBoundingBox.getTop());
                    System.out.printf("\t\tRight: %s\n", normalizedBoundingBox.getRight());
                    System.out.printf("\t\tBottom: %s\n", normalizedBoundingBox.getBottom());
                    // Optional. The attributes of the object in the bounding box.
                    for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
                        System.out.printf("\n\t\t\tName: %s\n", attribute.getName());
                        System.out.printf("\t\t\tConfidence: %s\n", attribute.getConfidence());
                        System.out.printf("\t\t\tValue: %s\n", attribute.getValue());
                    }
                }
                // Optional. Attributes in the track level.
                for (DetectedAttribute trackAttribute : track.getAttributesList()) {
                    System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
                    System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
                    System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
                }
            }
            // of the same logo class appearing in one VideoSegment.
            for (VideoSegment logoRecognitionAnnotationSegment : logoRecognitionAnnotation.getSegmentsList()) {
                Duration logoRecognitionAnnotationSegmentStartTimeOffset = logoRecognitionAnnotationSegment.getStartTimeOffset();
                System.out.printf("\n\tStart Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentStartTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentStartTimeOffset.getNanos());
                Duration logoRecognitionAnnotationSegmentEndTimeOffset = logoRecognitionAnnotationSegment.getEndTimeOffset();
                System.out.printf("\tEnd Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentEndTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentEndTimeOffset.getNanos());
            }
        }
    }
}

Example 10 with Track

use of com.google.cloud.videointelligence.v1p3beta1.Track in project java-video-intelligence by googleapis.

the class DetectLogoGcs method detectLogoGcs.

public static void detectLogoGcs(String inputUri) throws IOException, ExecutionException, InterruptedException {
    // the "close" method on the client to safely clean up any remaining background resources.
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Build the request with the inputUri and set the Feature
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(inputUri).addFeatures(Feature.LOGO_RECOGNITION).build();
        // Make the asynchronous request
        AnnotateVideoResponse response = client.annotateVideoAsync(request).get();
        // Get the first response, since we sent only one video.
        VideoAnnotationResults annotationResult = response.getAnnotationResultsList().get(0);
        // Annotations for list of logos detected, tracked and recognized in the video.
        for (LogoRecognitionAnnotation logoRecognitionAnnotation : annotationResult.getLogoRecognitionAnnotationsList()) {
            Entity entity = logoRecognitionAnnotation.getEntity();
            // Opaque entity ID. Some IDs may be available in [Google Knowledge Graph Search
            // API](https://developers.google.com/knowledge-graph/).
            System.out.printf("Entity Id: %s\n", entity.getEntityId());
            System.out.printf("Description: %s\n", entity.getDescription());
            // instance appearing in consecutive frames.
            for (Track track : logoRecognitionAnnotation.getTracksList()) {
                // Video segment of a track.
                VideoSegment segment = track.getSegment();
                Duration segmentStartTimeOffset = segment.getStartTimeOffset();
                System.out.printf("\n\tStart Time Offset: %s.%s\n", segmentStartTimeOffset.getSeconds(), segmentStartTimeOffset.getNanos());
                Duration segmentEndTimeOffset = segment.getEndTimeOffset();
                System.out.printf("\tEnd Time Offset: %s.%s\n", segmentEndTimeOffset.getSeconds(), segmentEndTimeOffset.getNanos());
                System.out.printf("\tConfidence: %s\n", track.getConfidence());
                // The object with timestamp and attributes per frame in the track.
                for (TimestampedObject timestampedObject : track.getTimestampedObjectsList()) {
                    // Normalized Bounding box in a frame, where the object is located.
                    NormalizedBoundingBox normalizedBoundingBox = timestampedObject.getNormalizedBoundingBox();
                    System.out.printf("\n\t\tLeft: %s\n", normalizedBoundingBox.getLeft());
                    System.out.printf("\t\tTop: %s\n", normalizedBoundingBox.getTop());
                    System.out.printf("\t\tRight: %s\n", normalizedBoundingBox.getRight());
                    System.out.printf("\t\tBottom: %s\n", normalizedBoundingBox.getBottom());
                    // Optional. The attributes of the object in the bounding box.
                    for (DetectedAttribute attribute : timestampedObject.getAttributesList()) {
                        System.out.printf("\n\t\t\tName: %s\n", attribute.getName());
                        System.out.printf("\t\t\tConfidence: %s\n", attribute.getConfidence());
                        System.out.printf("\t\t\tValue: %s\n", attribute.getValue());
                    }
                }
                // Optional. Attributes in the track level.
                for (DetectedAttribute trackAttribute : track.getAttributesList()) {
                    System.out.printf("\n\t\tName : %s\n", trackAttribute.getName());
                    System.out.printf("\t\tConfidence : %s\n", trackAttribute.getConfidence());
                    System.out.printf("\t\tValue : %s\n", trackAttribute.getValue());
                }
            }
            // of the same logo class appearing in one VideoSegment.
            for (VideoSegment logoRecognitionAnnotationSegment : logoRecognitionAnnotation.getSegmentsList()) {
                Duration logoRecognitionAnnotationSegmentStartTimeOffset = logoRecognitionAnnotationSegment.getStartTimeOffset();
                System.out.printf("\n\tStart Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentStartTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentStartTimeOffset.getNanos());
                Duration logoRecognitionAnnotationSegmentEndTimeOffset = logoRecognitionAnnotationSegment.getEndTimeOffset();
                System.out.printf("\tEnd Time Offset : %s.%s\n", logoRecognitionAnnotationSegmentEndTimeOffset.getSeconds(), logoRecognitionAnnotationSegmentEndTimeOffset.getNanos());
            }
        }
    }
}