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

Example 11 with AnnotateVideoRequest

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

the class TrackObjects method trackObjects.

// [START video_object_tracking]
/**
 * Track objects in a video.
 *
 * @param filePath the path to the video file to analyze.
 */
public static VideoAnnotationResults trackObjects(String filePath) throws Exception {
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Read file
        Path path = Paths.get(filePath);
        byte[] data = Files.readAllBytes(path);
        // Create the request
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(ByteString.copyFrom(data)).addFeatures(Feature.OBJECT_TRACKING).setLocationId("us-east1").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(450, TimeUnit.SECONDS);
        VideoAnnotationResults results = response.getAnnotationResults(0);
        // Get only the first annotation for demo purposes.
        ObjectTrackingAnnotation annotation = results.getObjectAnnotations(0);
        System.out.println("Confidence: " + annotation.getConfidence());
        if (annotation.hasEntity()) {
            Entity entity = annotation.getEntity();
            System.out.println("Entity description: " + entity.getDescription());
            System.out.println("Entity id:: " + entity.getEntityId());
        }
        if (annotation.hasSegment()) {
            VideoSegment videoSegment = annotation.getSegment();
            Duration startTimeOffset = videoSegment.getStartTimeOffset();
            Duration endTimeOffset = videoSegment.getEndTimeOffset();
            // Display the segment time in seconds, 1e9 converts nanos to seconds
            System.out.println(String.format("Segment: %.2fs to %.2fs", startTimeOffset.getSeconds() + startTimeOffset.getNanos() / 1e9, endTimeOffset.getSeconds() + endTimeOffset.getNanos() / 1e9));
        }
        // Here we print only the bounding box of the first frame in this segment.
        ObjectTrackingFrame frame = annotation.getFrames(0);
        // Display the offset time in seconds, 1e9 converts nanos to seconds
        Duration timeOffset = frame.getTimeOffset();
        System.out.println(String.format("Time offset of the first frame: %.2fs", timeOffset.getSeconds() + timeOffset.getNanos() / 1e9));
        // Display the bounding box of the detected object
        NormalizedBoundingBox normalizedBoundingBox = frame.getNormalizedBoundingBox();
        System.out.println("Bounding box position:");
        System.out.println("\tleft: " + normalizedBoundingBox.getLeft());
        System.out.println("\ttop: " + normalizedBoundingBox.getTop());
        System.out.println("\tright: " + normalizedBoundingBox.getRight());
        System.out.println("\tbottom: " + normalizedBoundingBox.getBottom());
        return results;
    }
}

Example 12 with AnnotateVideoRequest

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

the class TrackObjects method trackObjectsGcs.

// [END video_object_tracking]
// [START video_object_tracking_gcs]
/**
 * Track objects in a video.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static VideoAnnotationResults trackObjectsGcs(String gcsUri) throws Exception {
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Create the request
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.OBJECT_TRACKING).setLocationId("us-east1").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(450, TimeUnit.SECONDS);
        VideoAnnotationResults results = response.getAnnotationResults(0);
        // Get only the first annotation for demo purposes.
        ObjectTrackingAnnotation annotation = results.getObjectAnnotations(0);
        System.out.println("Confidence: " + annotation.getConfidence());
        if (annotation.hasEntity()) {
            Entity entity = annotation.getEntity();
            System.out.println("Entity description: " + entity.getDescription());
            System.out.println("Entity id:: " + entity.getEntityId());
        }
        if (annotation.hasSegment()) {
            VideoSegment videoSegment = annotation.getSegment();
            Duration startTimeOffset = videoSegment.getStartTimeOffset();
            Duration endTimeOffset = videoSegment.getEndTimeOffset();
            // Display the segment time in seconds, 1e9 converts nanos to seconds
            System.out.println(String.format("Segment: %.2fs to %.2fs", startTimeOffset.getSeconds() + startTimeOffset.getNanos() / 1e9, endTimeOffset.getSeconds() + endTimeOffset.getNanos() / 1e9));
        }
        // Here we print only the bounding box of the first frame in this segment.
        ObjectTrackingFrame frame = annotation.getFrames(0);
        // Display the offset time in seconds, 1e9 converts nanos to seconds
        Duration timeOffset = frame.getTimeOffset();
        System.out.println(String.format("Time offset of the first frame: %.2fs", timeOffset.getSeconds() + timeOffset.getNanos() / 1e9));
        // Display the bounding box of the detected object
        NormalizedBoundingBox normalizedBoundingBox = frame.getNormalizedBoundingBox();
        System.out.println("Bounding box position:");
        System.out.println("\tleft: " + normalizedBoundingBox.getLeft());
        System.out.println("\ttop: " + normalizedBoundingBox.getTop());
        System.out.println("\tright: " + normalizedBoundingBox.getRight());
        System.out.println("\tbottom: " + normalizedBoundingBox.getBottom());
        return results;
    }
}

Example 13 with AnnotateVideoRequest

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

the class Detect method analyzeLabels.

/**
 * Performs label analysis on the video at the provided Cloud Storage path.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static void analyzeLabels(String gcsUri) throws Exception {
    // Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Provide path to file hosted on GCS as "gs://bucket-name/..."
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.LABEL_DETECTION).build();
        // Create an operation that will contain the response when the operation completes.
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        for (VideoAnnotationResults results : response.get().getAnnotationResultsList()) {
            // process video / segment level label annotations
            System.out.println("Locations: ");
            for (LabelAnnotation labelAnnotation : results.getSegmentLabelAnnotationsList()) {
                System.out.println("Video label: " + labelAnnotation.getEntity().getDescription());
                // categories
                for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
                    System.out.println("Video label category: " + categoryEntity.getDescription());
                }
                // segments
                for (LabelSegment segment : labelAnnotation.getSegmentsList()) {
                    double startTime = segment.getSegment().getStartTimeOffset().getSeconds() + segment.getSegment().getStartTimeOffset().getNanos() / 1e9;
                    double endTime = segment.getSegment().getEndTimeOffset().getSeconds() + segment.getSegment().getEndTimeOffset().getNanos() / 1e9;
                    System.out.printf("Segment location: %.3f:%.3f\n", startTime, endTime);
                    System.out.println("Confidence: " + segment.getConfidence());
                }
            }
            // process shot label annotations
            for (LabelAnnotation labelAnnotation : results.getShotLabelAnnotationsList()) {
                System.out.println("Shot label: " + labelAnnotation.getEntity().getDescription());
                // categories
                for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
                    System.out.println("Shot label category: " + categoryEntity.getDescription());
                }
                // segments
                for (LabelSegment segment : labelAnnotation.getSegmentsList()) {
                    double startTime = segment.getSegment().getStartTimeOffset().getSeconds() + segment.getSegment().getStartTimeOffset().getNanos() / 1e9;
                    double endTime = segment.getSegment().getEndTimeOffset().getSeconds() + segment.getSegment().getEndTimeOffset().getNanos() / 1e9;
                    System.out.printf("Segment location: %.3f:%.3f\n", startTime, endTime);
                    System.out.println("Confidence: " + segment.getConfidence());
                }
            }
            // process frame label annotations
            for (LabelAnnotation labelAnnotation : results.getFrameLabelAnnotationsList()) {
                System.out.println("Frame label: " + labelAnnotation.getEntity().getDescription());
                // categories
                for (Entity categoryEntity : labelAnnotation.getCategoryEntitiesList()) {
                    System.out.println("Frame label category: " + categoryEntity.getDescription());
                }
                // segments
                for (LabelSegment segment : labelAnnotation.getSegmentsList()) {
                    double startTime = segment.getSegment().getStartTimeOffset().getSeconds() + segment.getSegment().getStartTimeOffset().getNanos() / 1e9;
                    double endTime = segment.getSegment().getEndTimeOffset().getSeconds() + segment.getSegment().getEndTimeOffset().getNanos() / 1e9;
                    System.out.printf("Segment location: %.3f:%.2f\n", startTime, endTime);
                    System.out.println("Confidence: " + segment.getConfidence());
                }
            }
        }
    }
// [END video_analyze_labels_gcs]
}

Example 14 with AnnotateVideoRequest

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

the class Detect method analyzeExplicitContent.

/**
 * Performs explicit content analysis on the video at the provided Cloud Storage path.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static void analyzeExplicitContent(String gcsUri) throws Exception {
    // Instantiate a com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Create an operation that will contain the response when the operation completes.
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.EXPLICIT_CONTENT_DETECTION).build();
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        // Print detected annotations and their positions in the analyzed video.
        for (VideoAnnotationResults result : response.get().getAnnotationResultsList()) {
            for (ExplicitContentFrame frame : result.getExplicitAnnotation().getFramesList()) {
                double frameTime = frame.getTimeOffset().getSeconds() + frame.getTimeOffset().getNanos() / 1e9;
                System.out.printf("Location: %.3fs\n", frameTime);
                System.out.println("Adult: " + frame.getPornographyLikelihood());
            }
        }
    // [END video_analyze_explicit_content]
    }
}

Example 15 with AnnotateVideoRequest

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

the class DetectPerson method detectPerson.

// Detects people in a video stored in a local file using the Cloud Video Intelligence API.
public static void detectPerson(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);
        PersonDetectionConfig personDetectionConfig = PersonDetectionConfig.newBuilder().setIncludeBoundingBoxes(true).setIncludePoseLandmarks(true).setIncludeAttributes(true).build();
        VideoContext videoContext = VideoContext.newBuilder().setPersonDetectionConfig(personDetectionConfig).build();
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputContent(inputContent).addFeatures(Feature.PERSON_DETECTION).setVideoContext(videoContext).build();
        // Detects people in a video
        // We get the first result because only one video is processed.
        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 (PersonDetectionAnnotation personDetectionAnnotation : annotationResult.getPersonDetectionAnnotationsList()) {
            System.out.print("Person detected:\n");
            for (Track track : personDetectionAnnotation.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 characteristic--e.g. clothes,
                // posture of the person detected.
                TimestampedObject firstTimestampedObject = track.getTimestampedObjects(0);
                // of the person detected.
                for (DetectedAttribute attribute : firstTimestampedObject.getAttributesList()) {
                    System.out.printf("\tAttribute: %s; Value: %s\n", attribute.getName(), attribute.getValue());
                }
                // Landmarks in person detection include body parts.
                for (DetectedLandmark attribute : firstTimestampedObject.getLandmarksList()) {
                    System.out.printf("\tLandmark: %s; Vertex: %f, %f\n", attribute.getName(), attribute.getPoint().getX(), attribute.getPoint().getY());
                }
            }
        }
    }
}