Google Cloud Video Intelligence API: Node.js Client

Node.js idiomatic client for Video Intelligence API.

The Cloud Video Intelligence API allows developers to use Google video analysis technology as part of their applications.

• Video Intelligence API Node.js Client API Reference
• github.com/googleapis/nodejs-video-intelligence
• Video Intelligence API Documentation

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
  • Installing the client library
  • Using the client library
• Samples
• Versioning
• Contributing
• License

Quickstart

Before you begin

1. Select or create a Cloud Platform project.

   Go to the projects page

2. Enable billing for your project.

   Enable billing

3. Enable the Google Cloud Video Intelligence API API.

   Enable the 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 --save @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://nodejs-docs-samples-video/quickstart_short.mp4';

// Construct request
const request = {
  inputUri: gcsUri,
  features: ['LABEL_DETECTION'],
};

// Execute request
client
  .annotateVideo(request)
  .then(results => {
    const operation = results[0];
    console.log(
      'Waiting for operation to complete... (this may take a few minutes)'
    );
    return operation.promise();
  })
  .then(results => {
    // Gets annotations for video
    const annotations = results[0].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`
        );
      });
    });
  })
  .catch(err => {
    console.error('ERROR:', err);
  });

Samples

Samples are in the samples/ directory. The samples' README.md has instructions for running the samples.

Sample	Source Code	Try it
Video Intelligence	source code

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

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.

License

Apache Version 2.0

See LICENSE