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Bring ML APIs up to standard. (#346)
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jmdobry authored and Ace Nassri committed Nov 17, 2022
1 parent cbb8b81 commit 459044f
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74 changes: 40 additions & 34 deletions video-intelligence/analyze.js
Original file line number Diff line number Diff line change
Expand Up @@ -13,11 +13,9 @@
* limitations under the License.
*/

// https://cloud.google.com/video-intelligence/docs/

'use strict';

function analyzeFaces (gcsPath) {
function analyzeFaces (gcsUri) {
// [START analyze_faces]
// Imports the Google Cloud Video Intelligence library
const Video = require('@google-cloud/videointelligence').v1beta1();
Expand All @@ -26,34 +24,37 @@ function analyzeFaces (gcsPath) {
const video = Video.videoIntelligenceServiceClient();

// The GCS filepath of the video to analyze
// const gcsPath = 'gs://my-bucket/my-video.mp4'
// const gcsUri = 'gs://my-bucket/my-video.mp4'

const request = {
inputUri: gcsPath,
inputUri: gcsUri,
features: ['FACE_DETECTION']
};

// Detect faces in a video
video.annotateVideo(request)
.then((startResponse) => {
const operation = startResponse[0];
.then((results) => {
const operation = results[0];
console.log('Waiting for operation to complete...');
return operation.promise();
})
.then((doneResponse) => {
.then((results) => {
// Get faces for first video
const faces = doneResponse[0].annotationResults[0].faceAnnotations;
const faces = results[0].annotationResults[0].faceAnnotations;
faces.forEach((face, faceIdx) => {
console.log('Thumbnail size:', face.thumbnail.buffer.length);
face.segments.forEach((segment, segmentIdx) => {
console.log(`Track ${segmentIdx} of face ${faceIdx}: frames ${segment.startTimeOffset} to ${segment.endTimeOffset}`);
});
});
})
.catch((err) => {
console.error('ERROR:', err);
});
// [END analyze_faces]
}

function analyzeLabels (gcsPath) {
function analyzeLabels (gcsUri) {
// [START analyze_labels]
// Imports the Google Cloud Video Intelligence library
const Video = require('@google-cloud/videointelligence').v1beta1();
Expand All @@ -62,35 +63,38 @@ function analyzeLabels (gcsPath) {
const video = Video.videoIntelligenceServiceClient();

// The GCS filepath of the video to analyze
// const gcsPath = 'gs://my-bucket/my-video.mp4'
// const gcsUri = 'gs://my-bucket/my-video.mp4'

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

// Detect labels in a video
video.annotateVideo(request)
.then((startResponse) => {
const operation = startResponse[0];
.then((results) => {
const operation = results[0];
console.log('Waiting for operation to complete...');
return operation.promise();
})
.then((doneResponse) => {
.then((results) => {
// Get labels for first video
const labels = doneResponse[0].annotationResults[0].labelAnnotations;
const labels = results[0].annotationResults[0].labelAnnotations;
labels.forEach((label) => {
console.log('Label description:', label.description);
console.log('Locations:');
label.locations.forEach((location) => {
console.log(`\tFrames ${location.segment.startTimeOffset} to ${location.segment.endTimeOffset}`);
});
});
})
.catch((err) => {
console.error('ERROR:', err);
});
// [END analyze_labels]
}

function analyzeShots (gcsPath) {
function analyzeShots (gcsUri) {
// [START analyze_shots]
// Imports the Google Cloud Video Intelligence library
const Video = require('@google-cloud/videointelligence').v1beta1();
Expand All @@ -99,59 +103,61 @@ function analyzeShots (gcsPath) {
const video = Video.videoIntelligenceServiceClient();

// The GCS filepath of the video to analyze
// const gcsPath = 'gs://my-bucket/my-video.mp4'
// const gcsUri = 'gs://my-bucket/my-video.mp4'

const request = {
inputUri: gcsPath,
inputUri: gcsUri,
features: ['SHOT_CHANGE_DETECTION']
};

// Detect camera shot changes
video.annotateVideo(request)
.then((startResponse) => {
const operation = startResponse[0];
.then((results) => {
const operation = results[0];
console.log('Waiting for operation to complete...');
return operation.promise();
})
.then((doneResponse) => {
.then((results) => {
// Get shot changes for first video
const shotChanges = doneResponse[0].annotationResults[0].shotAnnotations;
const shotChanges = results[0].annotationResults[0].shotAnnotations;
shotChanges.forEach((shot, shotIdx) => {
console.log(`Scene ${shotIdx}:`);
console.log(`\tStart: ${shot.startTimeOffset}`);
console.log(`\tEnd: ${shot.endTimeOffset}`);
});
})
.catch((err) => {
console.error('ERROR:', err);
});
// [END analyze_shots]
}

const cli = require(`yargs`)
.demand(1)
.command(
`faces <gcsPath>`,
`faces <gcsUri>`,
`Analyzes faces in a video using the Cloud Video Intelligence API.`,
{},
(opts) => analyzeFaces(opts.gcsPath)
(opts) => analyzeFaces(opts.gcsUri)
)
.command(
`shots <gcsPath>`,
`shots <gcsUri>`,
`Analyzes shot angles in a video using the Cloud Video Intelligence API.`,
{},
(opts) => analyzeShots(opts.gcsPath)
(opts) => analyzeShots(opts.gcsUri)
)
.command(
`labels <gcsPath>`,
`labels <gcsUri>`,
`Labels objects in a video using the Cloud Video Intelligence API.`,
{},
(opts) => analyzeLabels(opts.gcsPath)
(opts) => analyzeLabels(opts.gcsUri)
)
.example(`node $0 faces gs://my-bucket/my-video.mp4`)
.example(`node $0 shots gs://my-bucket/my-video.mp4`)
.example(`node $0 labels gs://my-bucket/my-video.mp4`)
.wrap(120)
.recommendCommands()
.epilogue(`For more information, see https://cloud.google.com/video-intelligence/docs`);

if (module === require.main) {
cli.help().strict().argv;
}
.epilogue(`For more information, see https://cloud.google.com/video-intelligence/docs`)
.help()
.strict()
.argv;
2 changes: 1 addition & 1 deletion video-intelligence/package.json
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Expand Up @@ -9,7 +9,7 @@
},
"dependencies": {
"@google-cloud/videointelligence": "https://storage.googleapis.com/videointelligence-alpha/videointelligence-nodejs.tar.gz",
"yargs": "6.6.0"
"yargs": "7.0.2"
},
"engines": {
"node": ">=4.3.2"
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