Google Cloud Video Intelligence API client for Node.js

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

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

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

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.

npm install @google-cloud/video-intelligence

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

Sample	Source Code	Try it
Analyze-streaming-annotation-to-storage	source code
Analyze-streaming-automl-classification	source code
Analyze-streaming-labels	source code
Analyze-streaming-object	source code
Analyze-streaming-safe-search	source code
Analyze-streaming-shot-change	source code
Analyze	source code
Analyze.v1p2beta1	source code
Analyze_face_detection	source code
Analyze_face_detection_gcs	source code
Analyze_person_detection	source code
Analyze_person_detection_gcs	source code
Detect_logo	source code
Detect_logo_gcs	source code
Quickstart	source code

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

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

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

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

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.

Apache Version 2.0

See LICENSE