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docs(samples): Object tracking and Text detection GA samples (#202)
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@nirupa-kumar
nirupa-kumar authored and Ace Nassri committed Nov 17, 2022
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265 changes: 265 additions & 0 deletions video-intelligence/analyze.js
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Original file line number Diff line number Diff line change
Expand Up @@ -301,6 +301,241 @@ async function analyzeVideoTranscription(gcsUri) {
// [END video_speech_transcription_gcs]
}

async function analyzeTextGCS(gcsUri) {
//gcsUri - GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4
//[START video_detect_text_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: ['TEXT_DETECTION'],
};
// Detects text in a video
const [operation] = await video.annotateVideo(request);
const results = await operation.promise();
console.log('Waiting for operation to complete...');
// Gets annotations for video
const textAnnotations = results[0].annotationResults[0].textAnnotations;
textAnnotations.forEach(textAnnotation => {
console.log(`Text ${textAnnotation.text} occurs at:`);
textAnnotation.segments.forEach(segment => {
const time = segment.segment;
console.log(
` Start: ${time.startTimeOffset.seconds || 0}.${(
time.startTimeOffset.nanos / 1e6
).toFixed(0)}s`
);
console.log(
` End: ${time.endTimeOffset.seconds || 0}.${(
time.endTimeOffset.nanos / 1e6
).toFixed(0)}s`
);
console.log(` Confidence: ${segment.confidence}`);
segment.frames.forEach(frame => {
const timeOffset = frame.timeOffset;
console.log(
`Time offset for the frame: ${timeOffset.seconds || 0}` +
`.${(timeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Rotated Bounding Box Vertices:`);
frame.rotatedBoundingBox.vertices.forEach(vertex => {
console.log(`Vertex.x:${vertex.x}, Vertex.y:${vertex.y}`);
});
});
});
});
// [END video_detect_text_gcs]
}

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...');
//Gets annotations for video
const annotations = results[0].annotationResults[0];
const objects = annotations.objectAnnotations;
objects.forEach(object => {
console.log(`Entity description: ${object.entity.description}`);
console.log(`Entity id: ${object.entity.entityId}`);
const time = object.segment;
console.log(
`Segment: ${time.startTimeOffset.seconds || 0}` +
`.${(time.startTimeOffset.nanos / 1e6).toFixed(0)}s to ${time
.endTimeOffset.seconds || 0}.` +
`${(time.endTimeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Confidence: ${object.confidence}`);
const frame = object.frames[0];
const box = frame.normalizedBoundingBox;
const timeOffset = frame.timeOffset;
console.log(
`Time offset for the first frame: ${timeOffset.seconds || 0}` +
`.${(timeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Bounding box position:`);
console.log(` left :${box.left}`);
console.log(` top :${box.top}`);
console.log(` right :${box.right}`);
console.log(` bottom :${box.bottom}`);
});
// [END video_object_tracking_gcs]
}

async function analyzeText(path) {
//[START video_detect_text]
// Imports the Google Cloud Video Intelligence library + Node's fs library
const Video = require('@google-cloud/video-intelligence');
const fs = require('fs');
const util = require('util');
// Creates a client
const video = new Video.VideoIntelligenceServiceClient();

/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const path = 'Local file to analyze, e.g. ./my-file.mp4';

// Reads a local video file and converts it to base64
const file = await util.promisify(fs.readFile)(path);
const inputContent = file.toString('base64');

const request = {
inputContent: inputContent,
features: ['TEXT_DETECTION'],
};
// Detects text in a video
const [operation] = await video.annotateVideo(request);
const results = await operation.promise();
console.log('Waiting for operation to complete...');

// Gets annotations for video
const textAnnotations = results[0].annotationResults[0].textAnnotations;
textAnnotations.forEach(textAnnotation => {
console.log(`Text ${textAnnotation.text} occurs at:`);
textAnnotation.segments.forEach(segment => {
const time = segment.segment;
if (time.startTimeOffset.seconds === undefined) {
time.startTimeOffset.seconds = 0;
}
if (time.startTimeOffset.nanos === undefined) {
time.startTimeOffset.nanos = 0;
}
if (time.endTimeOffset.seconds === undefined) {
time.endTimeOffset.seconds = 0;
}
if (time.endTimeOffset.nanos === undefined) {
time.endTimeOffset.nanos = 0;
}
console.log(
`\tStart: ${time.startTimeOffset.seconds || 0}` +
`.${(time.startTimeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(
`\tEnd: ${time.endTimeOffset.seconds || 0}.` +
`${(time.endTimeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`\tConfidence: ${segment.confidence}`);
segment.frames.forEach(frame => {
const timeOffset = frame.timeOffset;
console.log(
`Time offset for the frame: ${timeOffset.seconds || 0}` +
`.${(timeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Rotated Bounding Box Vertices:`);
frame.rotatedBoundingBox.vertices.forEach(vertex => {
console.log(`Vertex.x:${vertex.x}, Vertex.y:${vertex.y}`);
});
});
});
});
// [END video_detect_text]
}

async function analyzeObjectTracking(path) {
//[START video_object_tracking]
// Imports the Google Cloud Video Intelligence library
const Video = require('@google-cloud/video-intelligence');
const fs = require('fs');
const util = require('util');
// Creates a client
const video = new Video.VideoIntelligenceServiceClient();
/**
* TODO(developer): Uncomment the following line before running the sample.
*/
// const path = 'Local file to analyze, e.g. ./my-file.mp4';

// Reads a local video file and converts it to base64
const file = await util.promisify(fs.readFile)(path);
const inputContent = file.toString('base64');

const request = {
inputContent: inputContent,
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...');
//Gets annotations for video
const annotations = results[0].annotationResults[0];
const objects = annotations.objectAnnotations;
objects.forEach(object => {
console.log(`Entity description: ${object.entity.description}`);
console.log(`Entity id: ${object.entity.entityId}`);
const time = object.segment;
console.log(
`Segment: ${time.startTimeOffset.seconds || 0}` +
`.${(time.startTimeOffset.nanos / 1e6).toFixed(0)}s to ${time
.endTimeOffset.seconds || 0}.` +
`${(time.endTimeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Confidence: ${object.confidence}`);
const frame = object.frames[0];
const box = frame.normalizedBoundingBox;
const timeOffset = frame.timeOffset;
console.log(
`Time offset for the first frame: ${timeOffset.seconds || 0}` +
`.${(timeOffset.nanos / 1e6).toFixed(0)}s`
);
console.log(`Bounding box position:`);
console.log(` left :${box.left}`);
console.log(` top :${box.top}`);
console.log(` right :${box.right}`);
console.log(` bottom :${box.bottom}`);
});
// [END video_object_tracking]
}

async function main() {
require(`yargs`)
.demand(1)
Expand Down Expand Up @@ -334,11 +569,41 @@ async function main() {
{},
opts => analyzeVideoTranscription(opts.gcsUri)
)
.command(
`video-text-gcs <gcsUri>`,
`Analyzes text in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.`,
{},
opts => analyzeTextGCS(opts.gcsUri)
)
.command(
`track-objects-gcs <gcsUri>`,
`Analyzes objects in a video stored in Google Cloud Storage using the Cloud Video Intelligence API.`,
{},
opts => analyzeObjectTrackingGCS(opts.gcsUri)
)
.command(
`video-text <path>`,
`Analyzes text in a video stored in a local file using the Cloud Video Intelligence API.`,
{},
opts => analyzeText(opts.path)
)
.command(
`track-objects <path>`,
`Analyzes objects in a video stored in a local file using the Cloud Video Intelligence API.`,
{},
opts => analyzeObjectTracking(opts.path)
)
.example(`node $0 shots gs://demomaker/sushi.mp4`)
.example(`node $0 labels-gcs gs://demomaker/tomatoes.mp4`)
.example(`node $0 labels-file cat.mp4`)
.example(`node $0 safe-search gs://demomaker/tomatoes.mp4`)
.example(`node $0 transcription gs://demomaker/tomatoes.mp4`)
.example(`node $0 video-text ./resources/googlework_short.mp4`)
.example(
`node $0 video-text-gcs gs://nodejs-docs-samples/videos/googlework_short.mp4`
)
.example(`node $0 track-objects ./resources/cat.mp4`)
.example(`node $0 track-objects-gcs gs://nodejs-docs-samples/video/cat.mp4`)
.wrap(120)
.recommendCommands()
.epilogue(
Expand Down
2 changes: 1 addition & 1 deletion video-intelligence/package.json
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Expand Up @@ -12,7 +12,7 @@
"node": ">=8"
},
"scripts": {
"test": "mocha system-test --timeout=600000"
"test": "mocha system-test --timeout=800000"
},
"dependencies": {
"@google-cloud/video-intelligence": "^1.6.0",
Expand Down
29 changes: 29 additions & 0 deletions video-intelligence/system-test/analyze.test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,10 @@ const cmd = 'node analyze.js';
const cwd = path.join(__dirname, '..');
const url = 'gs://nodejs-docs-samples-video/quickstart.mp4';
const shortUrl = 'gs://nodejs-docs-samples-video/quickstart_short.mp4';
const catUrl = 'gs://nodejs-docs-samples/video/cat.mp4';
const file = 'resources/cat.mp4';
const file2 = 'resources/googlework_short.mp4';
const possibleTexts = /Google|GOOGLE|SUR|OMAR|ROTO|Vice President|58oo9|LONDRES|PARIS|METRO|RUE|CARLO/;

const exec = async cmd => (await execa.shell(cmd, {cwd})).stdout;

Expand Down Expand Up @@ -75,4 +78,30 @@ describe('analyze samples', () => {
const output = await exec(`${cmd} transcription ${shortUrl}`);
assert.match(output, /over the pass/);
});

//detect_text_gcs
it('should detect text in a GCS file', async () => {
const output = await exec(`${cmd} video-text-gcs ${shortUrl}`);
assert.match(output, possibleTexts);
});

//detect_text
it('should detect text in a local file', async () => {
const output = await exec(`${cmd} video-text ${file2}`);
assert.match(output, possibleTexts);
});

//object_tracking_gcs
it('should track objects in a GCS file', async () => {
const output = await exec(`${cmd} track-objects-gcs ${catUrl}`);
assert.match(output, /cat/);
assert.match(output, /Confidence: \d+\.\d+/);
});

//object_tracking
it('should track objects in a local file', async () => {
const output = await exec(`${cmd} track-objects ${file}`);
assert.match(output, /cat/);
assert.match(output, /Confidence: \d+\.\d+/);
});
});

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