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Added machine learning microservice and object detection (#76)
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@@ -0,0 +1,14 @@
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import { Body, Controller, Post } from '@nestjs/common';
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import { ObjectDetectionService } from './object-detection.service';
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@Controller('object-detection')
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export class ObjectDetectionController {
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constructor(
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private readonly objectDetectionService: ObjectDetectionService,
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) {}
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@Post('/detectObject')
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async detectObject(@Body('thumbnailPath') thumbnailPath: string) {
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return await this.objectDetectionService.detectObject(thumbnailPath);
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}
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}
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@@ -0,0 +1,9 @@
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import { Module } from '@nestjs/common';
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import { ObjectDetectionService } from './object-detection.service';
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import { ObjectDetectionController } from './object-detection.controller';
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@Module({
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controllers: [ObjectDetectionController],
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providers: [ObjectDetectionService],
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})
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export class ObjectDetectionModule {}
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@@ -0,0 +1,38 @@
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import { Injectable, Logger } from '@nestjs/common';
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import * as cocoSsd from '@tensorflow-models/coco-ssd';
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import * as tf from '@tensorflow/tfjs-node';
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import * as fs from 'fs';
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@Injectable()
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export class ObjectDetectionService {
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private cocoSsdModel: cocoSsd.ObjectDetection;
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constructor() {
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Logger.log(
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`Running Node TensorFlow Version : ${tf.version['tfjs']}`,
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'ObjectDetection',
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);
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cocoSsd.load().then((model) => (this.cocoSsdModel = model));
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}
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async detectObject(thumbnailPath: string) {
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try {
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const isExist = fs.existsSync(thumbnailPath);
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if (isExist) {
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const tags = new Set();
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const image = fs.readFileSync(thumbnailPath);
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const decodedImage = tf.node.decodeImage(image, 3) as tf.Tensor3D;
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const predictions = await this.cocoSsdModel.detect(decodedImage);
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for (const result of predictions) {
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if (result.score > 0.5) {
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tags.add(result.class);
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}
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}
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return [...tags];
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}
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} catch (e) {
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console.log('Error reading file ', e);
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}
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}
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}
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