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
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Google Cloud Video Intelligence API.
- 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-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 template in this
directory.
License
Apache Version 2.0
See LICENSE