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

Example 16 with AnnotateVideoRequest

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

the class DetectPersonGcs method detectPersonGcs.

// Detects people in a video stored in Google Cloud Storage using
// the Cloud Video Intelligence API.
public static void detectPersonGcs(String gcsUri) throws Exception {
    try (VideoIntelligenceServiceClient videoIntelligenceServiceClient = VideoIntelligenceServiceClient.create()) {
        // Reads a local video file and converts it to base64.
        PersonDetectionConfig personDetectionConfig = PersonDetectionConfig.newBuilder().setIncludeBoundingBoxes(true).setIncludePoseLandmarks(true).setIncludeAttributes(true).build();
        VideoContext videoContext = VideoContext.newBuilder().setPersonDetectionConfig(personDetectionConfig).build();
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.PERSON_DETECTION).setVideoContext(videoContext).build();
        // Detects people in a video
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> future = videoIntelligenceServiceClient.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        AnnotateVideoResponse response = future.get();
        // Get the first response, since we sent only one 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());
                }
            }
        }
    }
}

Example 17 with AnnotateVideoRequest

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

the class Detect method speechTranscription.

// [START video_speech_transcription_gcs_beta]
/**
 * Transcribe speech from a video stored on GCS.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static void speechTranscription(String gcsUri) throws Exception {
    // Instantiate a com.google.cloud.videointelligence.v1p1beta1.VideoIntelligenceServiceClient
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Set the language code
        SpeechTranscriptionConfig config = SpeechTranscriptionConfig.newBuilder().setLanguageCode("en-US").setEnableAutomaticPunctuation(true).build();
        // Set the video context with the above configuration
        VideoContext context = VideoContext.newBuilder().setSpeechTranscriptionConfig(config).build();
        // Create the request
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.SPEECH_TRANSCRIPTION).setVideoContext(context).build();
        // asynchronously perform speech transcription on videos
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        // Display the results
        for (VideoAnnotationResults results : response.get(300, TimeUnit.SECONDS).getAnnotationResultsList()) {
            for (SpeechTranscription speechTranscription : results.getSpeechTranscriptionsList()) {
                try {
                    // Print the transcription
                    if (speechTranscription.getAlternativesCount() > 0) {
                        SpeechRecognitionAlternative alternative = speechTranscription.getAlternatives(0);
                        System.out.printf("Transcript: %s\n", alternative.getTranscript());
                        System.out.printf("Confidence: %.2f\n", alternative.getConfidence());
                        System.out.println("Word level information:");
                        for (WordInfo wordInfo : alternative.getWordsList()) {
                            double startTime = wordInfo.getStartTime().getSeconds() + wordInfo.getStartTime().getNanos() / 1e9;
                            double endTime = wordInfo.getEndTime().getSeconds() + wordInfo.getEndTime().getNanos() / 1e9;
                            System.out.printf("\t%4.2fs - %4.2fs: %s\n", startTime, endTime, wordInfo.getWord());
                        }
                    } else {
                        System.out.println("No transcription found");
                    }
                } catch (IndexOutOfBoundsException ioe) {
                    System.out.println("Could not retrieve frame: " + ioe.getMessage());
                }
            }
        }
    }
}

Example 18 with AnnotateVideoRequest

use of com.google.cloud.videointelligence.v1p2beta1.AnnotateVideoRequest in project java-docs-samples by GoogleCloudPlatform.

the class Detect method analyzeFacesBoundingBoxes.

// [START video_face_bounding_boxes]
/**
 * Detects faces' bounding boxes on the video at the provided Cloud Storage path.
 *
 * @param gcsUri the path to the video file to analyze.
 */
public static void analyzeFacesBoundingBoxes(String gcsUri) throws Exception {
    // Instantiate a com.google.cloud.videointelligence.v1p1beta1.VideoIntelligenceServiceClient
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // Set the configuration to include bounding boxes
        FaceConfig config = FaceConfig.newBuilder().setIncludeBoundingBoxes(true).build();
        // Set the video context with the above configuration
        VideoContext context = VideoContext.newBuilder().setFaceDetectionConfig(config).build();
        // Create the request
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.FACE_DETECTION).setVideoContext(context).build();
        // asynchronously perform facial analysis on videos
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        boolean faceFound = false;
        // Display the results
        for (VideoAnnotationResults results : response.get(900, TimeUnit.SECONDS).getAnnotationResultsList()) {
            int faceCount = 0;
            // Display the results for each face
            for (FaceDetectionAnnotation faceAnnotation : results.getFaceDetectionAnnotationsList()) {
                faceFound = true;
                System.out.println("\nFace: " + ++faceCount);
                // Each FaceDetectionAnnotation has only one segment.
                for (FaceSegment segment : faceAnnotation.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: %.3fs to %.3f\n", startTime, endTime);
                }
                // There are typically many frames for each face,
                try {
                    // Here we process only the first frame.
                    if (faceAnnotation.getFramesCount() > 0) {
                        // get the first frame
                        FaceDetectionFrame frame = faceAnnotation.getFrames(0);
                        double timeOffset = frame.getTimeOffset().getSeconds() + frame.getTimeOffset().getNanos() / 1e9;
                        System.out.printf("First frame time offset: %.3fs\n", timeOffset);
                        // print info on the first normalized bounding box
                        NormalizedBoundingBox box = frame.getAttributes(0).getNormalizedBoundingBox();
                        System.out.printf("\tLeft: %.3f\n", box.getLeft());
                        System.out.printf("\tTop: %.3f\n", box.getTop());
                        System.out.printf("\tBottom: %.3f\n", box.getBottom());
                        System.out.printf("\tRight: %.3f\n", box.getRight());
                    } else {
                        System.out.println("No frames found in annotation");
                    }
                } catch (IndexOutOfBoundsException ioe) {
                    System.out.println("Could not retrieve frame: " + ioe.getMessage());
                }
            }
        }
        if (!faceFound) {
            System.out.println("No faces detected in " + gcsUri);
        }
    }
}

Example 19 with AnnotateVideoRequest

use of com.google.cloud.videointelligence.v1p2beta1.AnnotateVideoRequest in project java-docs-samples by GoogleCloudPlatform.

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 detect_labels_gcs]
}

Example 20 with AnnotateVideoRequest

use of com.google.cloud.videointelligence.v1p2beta1.AnnotateVideoRequest in project java-docs-samples by GoogleCloudPlatform.

the class QuickstartSample method main.

/**
 * Demonstrates using the video intelligence client to detect labels in a video file.
 */
public static void main(String[] args) throws Exception {
    // Instantiate a video intelligence client
    try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
        // The Google Cloud Storage path to the video to annotate.
        String gcsUri = "gs://demomaker/cat.mp4";
        // Create an operation that will contain the response when the operation completes.
        AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder().setInputUri(gcsUri).addFeatures(Feature.LABEL_DETECTION).build();
        OperationFuture<AnnotateVideoResponse, AnnotateVideoProgress> response = client.annotateVideoAsync(request);
        System.out.println("Waiting for operation to complete...");
        List<VideoAnnotationResults> results = response.get().getAnnotationResultsList();
        if (results.isEmpty()) {
            System.out.println("No labels detected in " + gcsUri);
            return;
        }
        for (VideoAnnotationResults result : results) {
            System.out.println("Labels:");
            // get video segment label annotations
            for (LabelAnnotation annotation : result.getSegmentLabelAnnotationsList()) {
                System.out.println("Video label description : " + annotation.getEntity().getDescription());
                // categories
                for (Entity categoryEntity : annotation.getCategoryEntitiesList()) {
                    System.out.println("Label Category description : " + categoryEntity.getDescription());
                }
                // segments
                for (LabelSegment segment : annotation.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());
                }
            }
        }
    }
}