I can't add images to the face collection (TypeError: fs__WEBPACK_IMPORTED_MODULE_1___default.a.createReadStream is not a function)

[fabriciorsf]

Describe the bug
I can't add faces images to the face collection.
I get the following error: TypeError: fs__WEBPACK_IMPORTED_MODULE_1___default.a.createReadStream is not a function.
I tested at versions:

• compreface-javascript-sdk: 0.5.2 and 0.6.0
• CompreFace Server: 0.6.0

To Reproduce

faceCollection.add(path_to_image, nameImgEncoded).then(response => {
  console.log(`Image ${path_to_image} added!`);
}).catch(error => {
  console.log(`Oops! There is problem in uploading image ${error}.`);
  console.log(error);
});

Expected behavior
A clear and concise description of what you expected to happen.

Logs

Oops! There is problem in uploading image TypeError: fs__WEBPACK_IMPORTED_MODULE_1___default.a.createReadStream is not a function.
TypeError: fs__WEBPACK_IMPORTED_MODULE_1___default.a.createReadStream is not a function
    upload_path common_endpoints.js:84
    add recognition_service.js:124
    add recognition_service.js:114

Additional context
I checked line 84 from common_endpoints.js (at function upload_path), and there is the following command:

compreface-javascript-sdk/endpoints/common_endpoints.js

Line 84 in 52260bd

bodyFormData.append('file', fs.createReadStream(image_path), { knownLength: fs.statSync(image_path).size });

Can you help me avoid this possible bug?
Tks!

[Dastnbek]

Hi!
This error occurs when you try to add image path in web application.
Can you share block of code which is giving error ?

[fabriciorsf]

The images in at path ./images/.

Follow my code, edited from webcam_demo project.

./src/App.js

import { useRef } from 'react';
import { CompreFace } from 'compreface-javascript-sdk';
import './App.css';

function App() {
  const videoTag = useRef(null);
  const canvas1 = useRef(null);
  const canvas2 = useRef(null);
  const canvas3 = useRef(null);

  const server = "http://10.0.0.11"; // my server is running on another machine in my network
  const port = 8000;
  const detection_key = "my_detection_key";
  const recognition_key = "my_recognition_key";
  const verification_key = "my_verification_key";

  const drawFace = (canvasElement, faceData, extraCanvas) => {
    const evt = new Event("next_frame", {"bubbles":true, "cancelable":false});
    document.dispatchEvent(evt);
    let box = faceData.result[0].box;

    canvasElement.clearRect(0, 0, 640, 480);
    extraCanvas.clearRect(0, 0, 640, 480);

    canvasElement.strokeStyle = 'green';
    extraCanvas.strokeStyle = "blue";
    extraCanvas.fillStyle = "white"

    extraCanvas.lineWidth = 5;
    canvasElement.lineWidth = 5;

    canvasElement.strokeRect(box.x_min, box.y_min, box.x_max - box.x_min, box.y_max - box.y_min);
    extraCanvas.fillText( Number.parseFloat(box.probability).toPrecision(5) + '  ' + faceData.result[0].gender + '  ' + faceData.result[0].age[0] + '-' + faceData.result[0].age[1], box.x_min, box.y_min - 10)

  }

  const handleVideoStart = () => {
    navigator.mediaDevices.getUserMedia({ video: true})
      .then(stream => videoTag.current.srcObject = stream)
      .catch( error => {
        console.log(error);
      })

      videoTag.current.addEventListener('play', () => {
        // Detection Service init of CompreFace
        let detection_service = core.initFaceDetectionService(detection_key);

        let ctx1 = canvas1.current.getContext('2d');
        let ctx2 = canvas2.current.getContext('2d');
        let ctx3 = canvas3.current.getContext("2d");

        document.addEventListener('next_frame', () => {
          ctx1.drawImage(videoTag.current, 0, 0, 640, 480)
          canvas1.current.toBlob( blob => {
            detection_service.detect(blob, {  limit: 1, face_plugins: 'age,gender' })
              .then(res => {
                drawFace(ctx2, res, ctx3)
              })
              .catch(error => {
                console.log(error);
              })
          }, 'image/jpeg', 0.95)
        })

        const evt = new Event("next_frame", {"bubbles":true, "cancelable":false});
			  document.dispatchEvent(evt);
      })
  }
  
  const addImages = (recognitionService, arrImagesName) => {
    let faceCollection = recognitionService.getFaceCollection(); // use face collection to fill it with known faces
    arrImagesName.forEach(function (imageName) {
      let path_to_image = `./images/${imageName}.jpg`;
      let nameImgEncoded = encodeURIComponent(imageName);
      faceCollection.add(path_to_image, nameImgEncoded).then(response => {
        console.log(`Image ${path_to_image} added!`);
      }).catch(error => {
        console.error(`ERROR: Oops! There is problem in uploading image ${error}.`);
        console.error(error);
      });
    });
  }
  
  // CompreFace init
  let core = new CompreFace(server, port);
  console.log(core);
  let recognitionService = core.initFaceRecognitionService(recognition_key); // initialize service
  let arrImagesName = ['personA01', 'personB01'];
  addImages(recognitionService, arrImagesName);
  // end of CompreFace init

  return (
    <div className="App">
      <header className="App-header">
        <video ref={videoTag} width="640" height="480" autoPlay muted ></video>
        <canvas ref={canvas1} width="640" id="canvas" height="480" style={{ display: 'none' }}></canvas>
	      <canvas ref={canvas2} width="640" id="canvas2" height="480" style={{ position: 'absolute' }} ></canvas>
        <canvas ref={canvas3} width="640" height="480" style={{ position: 'absolute' }}></canvas>

        <div>
          <button onClick={handleVideoStart} >Start video</button>
        </div>

      </header>
    </div>
  );
}

export default App;

./package.json

{
  "name": "webcam-tutorial",
  "version": "0.1.0",
  "private": true,
  "dependencies": {
    "@exadel/compreface-js-sdk": "^0.6.0",
    "compreface-javascript-sdk": "^2.3.2",
    "react": "^17.0.2",
    "react-dom": "^17.0.2",
    "react-scripts": "^4.0.3",
    "react-terminal-logger": "^1.3.8",
    "web-vitals": "^2.1.0",
    "@testing-library/jest-dom": "^5.11.4",
    "@testing-library/react": "^11.1.0",
    "@testing-library/user-event": "^12.1.10"
  },
  "scripts": {
    "start": "react-scripts start",
    "build": "react-scripts build",
    "test": "react-scripts test",
    "eject": "react-scripts eject"
  },
  "eslintConfig": {
    "extends": [
      "react-app",
      "react-app/jest"
    ]
  },
  "browserslist": {
    "production": [
      ">0.2%",
      "not dead",
      "not op_mini all"
    ],
    "development": [
      "last 1 chrome version",
      "last 1 firefox version",
      "last 1 safari version"
    ]
  }
}

[Dastnbek]

You can not pass image path directly in web application without user interaction (upload image) because of security concern.
It is only possible on backend with Nodejs for example.
In your case you should add some input field to upload your image and attach event listener to take value of it. Then pass it to sdk