返回视频信息视频智能API

时间:2018-05-15 20:48:57

标签: java google-api google-cloud-platform video-intelligence-api

我无法显示本地视频的信息,当我进行测试时,视频示例正在返回,但是当我尝试使用该机器的文件时,不会返回任何内容。

public String consultar() throws Throwable {
        requisicaoVideo("C:\\Users\\Web Designer\\Desktop\\Placas de Carros\\cat.mp4");
        return "analiseForenseVideos.xhtml";
    }
    public void requisicaoVideo(String filePath) throws Exception {
        try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
            // Read file and encode into Base64
            Path path = Paths.get(filePath);
            byte[] data = Files.readAllBytes(path);
            byte[] encodedBytes = Base64.encodeBase64(data);
            System.out.println(encodedBytes + "Linha 74");
            AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder()
                    .setInputContent(ByteString.copyFrom(encodedBytes)).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...");
            System.out.println(response.get().getAnnotationResultsList() + "Linha 83");
            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:%.2f\n", startTime, endTime);
                        System.out.println("Confidence: " + segment.getConfidence());
                    }
                }

1 个答案:

答案 0 :(得分:0)

我使用的是Google云端支持。 谢谢报告此问题。我一直在做一些测试,并在analyzeLabelsFile文件中的Detect.java函数中发现了某种错误。

如果您让作业运行了很长时间,它可能会完成(对我来说,需要30秒从Google云端存储导入文件,使用本地文件导入16分钟),但无论如何都不提供信息,只是&#34 ;地点:&#34;最后的消息。

我已将有关此问题的所有相关信息(如何重现问题,可能的原因等)发送给Google Video Intelligence API小组,以便他们查看。

我没有找到本地文件的解决方法,但您可以通过其URL和analyzeLabels函数在GCS中处理该文件。