Name: nodejs-video-intelligence
Owner: Google APIs
Description: Node.js client for Google Cloud Video Intelligence: Search and discover your media content.
Created: 2017-07-26 20:54:58.0
Updated: 2018-05-22 18:32:47.0
Pushed: 2018-05-22 18:32:45.0
Homepage: https://cloud.google.com/video-intelligence/
Size: 7023
Language: JavaScript
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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.
Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.
Table of contents:
Select or create a Cloud Platform project.
Enable billing for your project.
Enable the Google Cloud Video Intelligence API API.
Set up authentication with a service account so you can access the API from your local workstation.
npm install --save @google-cloud/video-intelligence
mports the Google Cloud Video Intelligence library
t videoIntelligence = require('@google-cloud/video-intelligence');
reates a client
t client = new videoIntelligence.VideoIntelligenceServiceClient();
he GCS uri of the video to analyze
t gcsUri = 'gs://nodejs-docs-samples-video/quickstart_short.mp4';
onstruct request
t request = {
putUri: gcsUri,
atures: ['LABEL_DETECTION'],
xecute request
nt
nnotateVideo(request)
hen(results => {
const operation = results[0];
console.log(
'Waiting for operation to complete... (this may take a few minutes)'
);
return operation.promise();
hen(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`
);
});
});
atch(err => {
console.error('ERROR:', err);
;
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.
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.
Apache Version 2.0
See LICENSE