'javascript - await promise stucks
I am implementing google video person detection .
I completely followed their docs and implemented same script they provided
But my code is not passing by this line:
const results = await operation.promise();
On terminal I get :
A
B
C
and thats it. some how code is not being processed after this line: const results = await operation.promise();
Here is my complete code script:
'use strict';
function main(path = 'my-file.mp4') {
// [START video_detect_person]
/**
* TODO(developer): Uncomment these variables before running the sample.
*/
// const gcsUri = 'GCS URI of the video to analyze, e.g. gs://my-bucket/my-video.mp4';
// Imports the Google Cloud Video Intelligence library + Node's fs library
const Video = require('@google-cloud/video-intelligence').v1;
const fs = require('fs');
// 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 = fs.readFileSync(path);
const inputContent = file.toString('base64');
async function detectPerson() {
console.log("A");
const request = {
inputContent: inputContent,
features: ['PERSON_DETECTION'],
videoContext: {
personDetectionConfig: {
// Must set includeBoundingBoxes to true to get poses and attributes.
includeBoundingBoxes: true,
includePoseLandmarks: true,
includeAttributes: true,
},
},
};
// Detects faces in a video
// We get the first result because we only process 1 video
console.log("B");
const [operation] = await video.annotateVideo(request);
console.log("C");
const results = await operation.promise();
console.log("D");
console.log('Waiting for operation to complete...');
// Gets annotations for video
const personAnnotations =
results[0].annotationResults[0].personDetectionAnnotations;
for (const {tracks} of personAnnotations) {
console.log('Person detected:');
for (const {segment, timestampedObjects} of tracks) {
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`
);
// Each segment includes timestamped objects that
// include characteristic--e.g. clothes, posture
// of the person detected.
const [firstTimestampedObject] = timestampedObjects;
// Attributes include unique pieces of clothing, poses (i.e., body
// landmarks) of the person detected.
for (const {name, value} of firstTimestampedObject.attributes) {
console.log(`\tAttribute: ${name}; Value: ${value}`);
}
// Landmarks in person detection include body parts.
for (const {name, point} of firstTimestampedObject.landmarks) {
console.log(`\tLandmark: ${name}; Vertex: ${point.x}, ${point.y}`);
}
}
}
}
detectPerson();
// [END video_detect_person]
}
main(...process.argv.slice(2));
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
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