# CloudVision API\*

* Pentru enable -> Google Cloud Platform Dashboard -> Search for Cloud Vision API -> Enable (proces foarte asemanator cu cel necesar pentru enable TranslateAPI)
* Cheia pe care o folositi la translateAPI poate fi folosita si pentru CloudVision API
* În proiectul asocial Backend-ului -> terminal -> instalam @google-cloud/vision (**npm i @google-cloud/vision**)
* Fisier nou in folderul utils: imageRecognitionFunctions.js

```
// imageRecognitionFunctions.js
const vision = require('@google-cloud/vision');
const dotenv = require("dotenv");
dotenv.config();

const imageRecognitionAPI = new vision.ImageAnnotatorClient({
    keyFilename: process.env.GOOGLE_APPLICATION_CREDENTIALS
});

async function detectLabels(file) {
    try{
        const [result] = await imageRecognitionAPI.labelDetection(file);
        const labels = result.labelAnnotations;
        const labelsDescriptions = labels.map((label) => {
            return label.description;
        }
        );
        return labelsDescriptions;
    }
    catch(error){
        console.log(error);
        return;
    }
}

detectLabels('https://www.impact.ro/wp-content/uploads/2021/12/New-York.jpg')
// detectLabels('./resources/waldo.jpeg')

module.exports = {
    detectLabels
}
```

* Drept parametru puteti trimite un fisier local sau chiar un link (atentie, pentru a introduce un link spre o poza trebuie sa apasati click dreapta pe o poza -> copy image adress -> paste ca parametru)
* Exemplu de endpoint care utilizeaza aceasta metoda

```
// utilsRouter.js
router.get("/labels", async (req, res) => {
    const { link } = req.body;
    if (!link) {
        return res.status(400).send("Bad request. Missing parametres.");
    }
    const labels = await detectLabels(link);
    console.log(labels);
    return res.json({
        labels,
    });
}
);
```


---

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