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    @google-cloud/video-intelligence
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    3.3.3 • Public • Published

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    Google Cloud Video Intelligence: Node.js Client

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    Google Cloud Video Intelligence API client for Node.js

    A comprehensive list of changes in each version may be found in the CHANGELOG.

    Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

    Table of contents:

    Quickstart

    Before you begin

    1. Select or create a Cloud Platform project.
    2. Enable billing for your project.
    3. Enable the Google Cloud Video Intelligence API.
    4. Set up authentication with a service account so you can access the API from your local workstation.

    Installing the client library

    npm install @google-cloud/video-intelligence

    Using the client library

    // Imports the Google Cloud Video Intelligence library
    const videoIntelligence = require('@google-cloud/video-intelligence');
    
    // Creates a client
    const client = new videoIntelligence.VideoIntelligenceServiceClient();
    
    // The GCS uri of the video to analyze
    const gcsUri = 'gs://cloud-samples-data/video/cat.mp4';
    
    // Construct request
    const request = {
      inputUri: gcsUri,
      features: ['LABEL_DETECTION'],
    };
    
    // Execute request
    const [operation] = await client.annotateVideo(request);
    
    console.log(
      'Waiting for operation to complete... (this may take a few minutes)'
    );
    
    const [operationResult] = await operation.promise();
    
    // Gets annotations for video
    const annotations = operationResult.annotationResults[0];
    
    // Gets labels for video from its annotations
    const labels = annotations.segmentLabelAnnotations;
    labels.forEach(label => {
      console.log(`Label ${label.entity.description} occurs at:`);
      label.segments.forEach(segment => {
        segment = segment.segment;
        if (segment.startTimeOffset.seconds === undefined) {
          segment.startTimeOffset.seconds = 0;
        }
        if (segment.startTimeOffset.nanos === undefined) {
          segment.startTimeOffset.nanos = 0;
        }
        if (segment.endTimeOffset.seconds === undefined) {
          segment.endTimeOffset.seconds = 0;
        }
        if (segment.endTimeOffset.nanos === undefined) {
          segment.endTimeOffset.nanos = 0;
        }
        console.log(
          `\tStart: ${segment.startTimeOffset.seconds}` +
            `.${(segment.startTimeOffset.nanos / 1e6).toFixed(0)}s`
        );
        console.log(
          `\tEnd: ${segment.endTimeOffset.seconds}.` +
            `${(segment.endTimeOffset.nanos / 1e6).toFixed(0)}s`
        );
      });
    });

    Samples

    Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

    Sample Source Code Try it
    Analyze-face-detection-gcs source code Open in Cloud Shell
    Analyze-face-detection source code Open in Cloud Shell
    Analyze-person-detection-gcs source code Open in Cloud Shell
    Analyze-person-detection source code Open in Cloud Shell
    Analyze-streaming-annotation-to-storage source code Open in Cloud Shell
    Analyze-streaming-automl-classification source code Open in Cloud Shell
    Analyze-streaming-automl-object-tracking source code Open in Cloud Shell
    Analyze-streaming-labels source code Open in Cloud Shell
    Analyze-streaming-object source code Open in Cloud Shell
    Analyze-streaming-safe-search source code Open in Cloud Shell
    Analyze-streaming-shot-change source code Open in Cloud Shell
    Analyze source code Open in Cloud Shell
    Analyze.v1p2beta1 source code Open in Cloud Shell
    Detect_logo source code Open in Cloud Shell
    Detect_logo_gcs source code Open in Cloud Shell
    Quickstart source code Open in Cloud Shell

    The Google Cloud Video Intelligence Node.js Client API Reference documentation also contains samples.

    Supported Node.js Versions

    Our client libraries follow the Node.js release schedule. Libraries are compatible with all current active and maintenance versions of Node.js.

    Client libraries targeting some end-of-life versions of Node.js are available, and can be installed via npm dist-tags. The dist-tags follow the naming convention legacy-(version).

    Legacy Node.js versions are supported as a best effort:

    • Legacy versions will not be tested in continuous integration.
    • Some security patches may not be able to be backported.
    • Dependencies will not be kept up-to-date, and features will not be backported.

    Legacy tags available

    • legacy-8: install client libraries from this dist-tag for versions compatible with Node.js 8.

    Versioning

    This library follows Semantic Versioning.

    This library is considered to be General Availability (GA). This means it is stable; the code surface will not change in backwards-incompatible ways unless absolutely necessary (e.g. because of critical security issues) or with an extensive deprecation period. Issues and requests against GA libraries are addressed with the highest priority.

    More Information: Google Cloud Platform Launch Stages

    Contributing

    Contributions welcome! See the Contributing Guide.

    Please note that this README.md, the samples/README.md, and a variety of configuration files in this repository (including .nycrc and tsconfig.json) are generated from a central template. To edit one of these files, make an edit to its template in this directory.

    License

    Apache Version 2.0

    See LICENSE

    Install

    npm i @google-cloud/video-intelligence

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    Version

    3.3.3

    License

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