Examples with VideoIntelligenceServiceClient com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient used on opensource projects

Example 1 with VideoIntelligenceServiceClient

use of com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient in project java-video-intelligence by googleapis.

the class TextDetection method detectText.

// [START video_detect_text_beta]
/**
 * Detect text in a video.
 *
 * @param filePath the path to the video file to analyze.
 */
public static VideoAnnotationResults detectText(String filePath) throws IOException, StatusRuntimeException, TimeoutException, ExecutionException, InterruptedException {
    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.TEXT_DETECTION).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(600, TimeUnit.SECONDS);
        VideoAnnotationResults results = response.getAnnotationResults(0);
        // Get only the first annotation for demo purposes.
        TextAnnotation annotation = results.getTextAnnotations(0);
        System.out.println("Text: " + annotation.getText());
        // Get the first text segment.
        TextSegment textSegment = annotation.getSegments(0);
        System.out.println("Confidence: " + textSegment.getConfidence());
        // For the text segment display it's time offset
        VideoSegment videoSegment = textSegment.getSegment();
        Duration startTimeOffset = videoSegment.getStartTimeOffset();
        Duration endTimeOffset = videoSegment.getEndTimeOffset();
        // Display the offset times in seconds, 1e9 is part of the formula to convert nanos to seconds
        System.out.println(String.format("Start time: %.2f", startTimeOffset.getSeconds() + startTimeOffset.getNanos() / 1e9));
        System.out.println(String.format("End time: %.2f", endTimeOffset.getSeconds() + endTimeOffset.getNanos() / 1e9));
        // Show the first result for the first frame in the segment.
        TextFrame textFrame = textSegment.getFrames(0);
        Duration timeOffset = textFrame.getTimeOffset();
        System.out.println(String.format("Time offset for the first frame: %.2f", timeOffset.getSeconds() + timeOffset.getNanos() / 1e9));
        // Display the rotated bounding box for where the text is on the frame.
        System.out.println("Rotated Bounding Box Vertices:");
        List<NormalizedVertex> vertices = textFrame.getRotatedBoundingBox().getVerticesList();
        for (NormalizedVertex normalizedVertex : vertices) {
            System.out.println(String.format("\tVertex.x: %.2f, Vertex.y: %.2f", normalizedVertex.getX(), normalizedVertex.getY()));
        }
        return results;
    }
}

Example 2 with VideoIntelligenceServiceClient

use of com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient in project java-video-intelligence by googleapis.

the class TrackObjects method trackObjects.

// [START video_object_tracking_beta]
/**
 * 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(600, 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 3 with VideoIntelligenceServiceClient

use of com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient 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 4 with VideoIntelligenceServiceClient

use of com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient in project java-video-intelligence by googleapis.

the class Detect method analyzeShots.

/**
 * Performs shot analysis on the video at the provided Cloud Storage path.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static void analyzeShots(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.SHOT_CHANGE_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...");
        // Print detected shot changes and their location ranges in the analyzed video.
        for (VideoAnnotationResults result : response.get().getAnnotationResultsList()) {
            if (result.getShotAnnotationsCount() > 0) {
                System.out.println("Shots: ");
                for (VideoSegment segment : result.getShotAnnotationsList()) {
                    double startTime = segment.getStartTimeOffset().getSeconds() + segment.getStartTimeOffset().getNanos() / 1e9;
                    double endTime = segment.getEndTimeOffset().getSeconds() + segment.getEndTimeOffset().getNanos() / 1e9;
                    System.out.printf("Location: %.3f:%.3f\n", startTime, endTime);
                }
            } else {
                System.out.println("No shot changes detected in " + gcsUri);
            }
        }
    }
// [END video_analyze_shots]
}

Example 5 with VideoIntelligenceServiceClient

use of com.google.cloud.videointelligence.v1p2beta1.VideoIntelligenceServiceClient 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]
}