To help you get started, we've collected the most common ways that @google-cloud/video-intelligence is being used within popular public projects.

googleapis / nodejs-video-intelligence / samples / analyze.js View on Github

async function analyzeObjectTrackingGCS(gcsUri) {
  //gcsUri - GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4
  //[START video_object_tracking_gcs]
  // Imports the Google Cloud Video Intelligence library
  const Video = require('@google-cloud/video-intelligence');

  // Creates a client
  const video = new Video.VideoIntelligenceServiceClient();

  /**
   * TODO(developer): Uncomment the following line before running the sample.
   */
  // const gcsUri = 'GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4';

  const request = {
    inputUri: gcsUri,
    features: ['OBJECT_TRACKING'],
    //recommended to use us-east1 for the best latency due to different types of processors used in this region and others
    locationId: 'us-east1',
  };
  // Detects objects in a video
  const [operation] = await video.annotateVideo(request);
  const results = await operation.promise();
  console.log('Waiting for operation to complete...');

View more ways to use @google-cloud/video-intelligence

Google Cloud Video Intelligence: Node.js Client

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

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
Analyze-face-detection	source code
Analyze-person-detection-gcs	source code
Analyze-person-detection	source code
Analyze-streaming-annotation-to-storage	source code
Analyze-streaming-automl-classification	source code
Analyze-streaming-automl-object-tracking	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
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.

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 templates in directory.

License

Apache Version 2.0

See LICENSE