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Spaces:
alpingo23
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facebackend
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Add Face Analysis backend (without models)

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Files changed (5) hide show
  1. Dockerfile +34 -0
  2. README.md +79 -5
  3. index.js +103 -0
  4. package-lock.json +2456 -0
  5. package.json +20 -0
Dockerfile ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ FROM node:18-slim
2
+
3
+ # Install canvas dependencies
4
+ RUN apt-get update && apt-get install -y \
5
+ build-essential \
6
+ libcairo2-dev \
7
+ libpango1.0-dev \
8
+ libjpeg-dev \
9
+ libgif-dev \
10
+ librsvg2-dev \
11
+ && rm -rf /var/lib/apt/lists/*
12
+
13
+ # Set working directory
14
+ WORKDIR /app
15
+
16
+ # Copy package files
17
+ COPY package*.json ./
18
+
19
+ # Install dependencies
20
+ RUN npm install --production
21
+
22
+ # Copy application files
23
+ COPY index.js ./
24
+ COPY models ./models
25
+
26
+ # Expose port 7860 (Hugging Face Spaces default)
27
+ EXPOSE 7860
28
+
29
+ # Set environment variable for port
30
+ ENV PORT=7860
31
+
32
+ # Run the application
33
+ CMD ["node", "index.js"]
34
+
README.md CHANGED
@@ -1,11 +1,85 @@
1
  ---
2
- title: Facebackend
3
- emoji: 🐨
4
- colorFrom: red
5
- colorTo: yellow
6
  sdk: docker
7
  pinned: false
8
  license: mit
9
  ---
10
 
11
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: Face Analysis API
3
+ emoji: 👤
4
+ colorFrom: purple
5
+ colorTo: pink
6
  sdk: docker
7
  pinned: false
8
  license: mit
9
  ---
10
 
11
+ # Face Analysis API
12
+
13
+ This is a Node.js/Express API for face analysis using face-api.js with TensorFlow.js.
14
+
15
+ ## Features
16
+
17
+ - 👤 Face detection using SSD MobileNet V1
18
+ - 😊 Facial expression recognition
19
+ - 🎂 Age estimation
20
+ - ⚧️ Gender prediction
21
+ - 📍 68-point facial landmarks
22
+ - 🌐 CORS enabled for web applications
23
+
24
+ ## API Endpoints
25
+
26
+ ### POST /predict_face
27
+ Upload an image to get face analysis.
28
+
29
+ **Request:**
30
+ - Method: POST
31
+ - Content-Type: multipart/form-data
32
+ - Body: `image` file
33
+
34
+ **Response:**
35
+ ```json
36
+ {
37
+ "age": 25,
38
+ "gender": "male",
39
+ "genderProbability": 0.95,
40
+ "expressions": {
41
+ "neutral": 0.7,
42
+ "happy": 0.2,
43
+ "sad": 0.05,
44
+ "angry": 0.02,
45
+ "fearful": 0.01,
46
+ "disgusted": 0.01,
47
+ "surprised": 0.01
48
+ },
49
+ "detection": {
50
+ "box": {
51
+ "x": 100,
52
+ "y": 50,
53
+ "width": 200,
54
+ "height": 250
55
+ }
56
+ },
57
+ "landmarks": [
58
+ {"x": 120, "y": 100},
59
+ ...
60
+ ],
61
+ "imageDimensions": {
62
+ "width": 640,
63
+ "height": 480
64
+ }
65
+ }
66
+ ```
67
+
68
+ ## Models
69
+
70
+ Uses pre-trained face-api.js models:
71
+ - SSD MobileNet V1 for face detection
72
+ - Face Landmark 68 Net
73
+ - Face Recognition Net
74
+ - Face Expression Net
75
+ - Age Gender Net
76
+
77
+ ## Usage
78
+
79
+ ```bash
80
+ curl -X POST -F "image=@face.jpg" https://alpingo23-facebackend.hf.space/predict_face
81
+ ```
82
+
83
+ ## License
84
+
85
+ MIT
index.js ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ const express = require('express');
2
+ const faceapi = require('face-api.js');
3
+ const canvas = require('canvas');
4
+ const { Canvas, Image, ImageData } = canvas;
5
+ const fileUpload = require('express-fileupload');
6
+ const path = require('path');
7
+
8
+ const app = express();
9
+ app.use(fileUpload());
10
+
11
+ faceapi.env.monkeyPatch({ Canvas, Image, ImageData });
12
+
13
+ // Model dosyalarının yolu
14
+ const MODEL_PATH = path.join(__dirname, 'models');
15
+
16
+ // Modelleri yükleme
17
+ async function loadModels() {
18
+ try {
19
+ await Promise.all([
20
+ faceapi.nets.ssdMobilenetv1.loadFromDisk(MODEL_PATH),
21
+ faceapi.nets.faceLandmark68Net.loadFromDisk(MODEL_PATH),
22
+ faceapi.nets.faceRecognitionNet.loadFromDisk(MODEL_PATH),
23
+ faceapi.nets.faceExpressionNet.loadFromDisk(MODEL_PATH),
24
+ faceapi.nets.ageGenderNet.loadFromDisk(MODEL_PATH),
25
+ ]);
26
+ console.log('Face-api.js models loaded.');
27
+ } catch (err) {
28
+ console.error('Error loading models:', err);
29
+ throw err;
30
+ }
31
+ }
32
+
33
+ // Sunucuyu başlatmadan önce modelleri yükle
34
+ loadModels().then(() => {
35
+ const PORT = process.env.PORT || 5001;
36
+ app.listen(PORT, () => {
37
+ console.log(`Face analysis server running on port ${PORT}`);
38
+ });
39
+ }).catch(err => {
40
+ console.error('Failed to start server due to model loading error:', err);
41
+ });
42
+ app.post('/predict_face', async (req, res) => {
43
+ if (!req.files || !req.files.image) {
44
+ return res.status(400).json({ error: 'No image provided' });
45
+ }
46
+
47
+ const file = req.files.image;
48
+
49
+ try {
50
+ // Görüntüyü canvas'a yükle
51
+ const img = await canvas.loadImage(file.data);
52
+ const origWidth = img.width;
53
+ const origHeight = img.height;
54
+
55
+ // Görüntüyü analiz et (orijinal boyutlarda)
56
+ const detections = await faceapi
57
+ .detectAllFaces(img)
58
+ .withFaceLandmarks()
59
+ .withFaceExpressions()
60
+ .withAgeAndGender();
61
+
62
+ if (detections.length === 0) {
63
+ return res.status(400).json({ error: 'No face detected' });
64
+ }
65
+
66
+ // Sonuç objesini oluştur
67
+ const result = detections.map(d => {
68
+ // Koordinatları orijinal boyutlara göre döndür (face-api.js zaten orijinal boyutları kullanır)
69
+ const box = {
70
+ x: d.detection.box.x,
71
+ y: d.detection.box.y,
72
+ width: d.detection.box.width,
73
+ height: d.detection.box.height,
74
+ };
75
+ const landmarks = d.landmarks.positions.map(position => ({
76
+ x: position.x,
77
+ y: position.y,
78
+ }));
79
+
80
+ return {
81
+ age: Math.round(d.age),
82
+ gender: d.gender,
83
+ genderProbability: d.genderProbability,
84
+ expressions: d.expressions,
85
+ detection: { box },
86
+ landmarks,
87
+ imageDimensions: { width: origWidth, height: origHeight }, // Orijinal boyutları ekle
88
+ };
89
+ });
90
+
91
+ // Loglama: Backend'den gönderilen boyutları ve koordinatları kontrol et
92
+ console.log('Backend Image Dimensions:', result[0].imageDimensions);
93
+ console.log('Backend Detection Box:', result[0].detection.box);
94
+ console.log('Backend Landmarks Sample:', result[0].landmarks.slice(0, 5)); // İlk 5 landmark
95
+
96
+ res.json(result[0]); // İlk yüzü döndür
97
+ } catch (err) {
98
+ console.error('Face analysis error:', err);
99
+ res.status(500).json({ error: 'Face analysis failed', details: err.message });
100
+ }
101
+ });
102
+
103
+ module.exports = app;
package-lock.json ADDED
@@ -0,0 +1,2456 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "face-analysis-backend",
3
+ "version": "1.0.0",
4
+ "lockfileVersion": 3,
5
+ "requires": true,
6
+ "packages": {
7
+ "": {
8
+ "name": "face-analysis-backend",
9
+ "version": "1.0.0",
10
+ "license": "ISC",
11
+ "dependencies": {
12
+ "@tensorflow/tfjs-node": "^4.22.0",
13
+ "canvas": "^3.1.0",
14
+ "express": "^4.21.2",
15
+ "express-fileupload": "^1.5.1",
16
+ "face-api.js": "^0.22.2"
17
+ }
18
+ },
19
+ "node_modules/@mapbox/node-pre-gyp": {
20
+ "version": "1.0.9",
21
+ "resolved": "https://registry.npmjs.org/@mapbox/node-pre-gyp/-/node-pre-gyp-1.0.9.tgz",
22
+ "integrity": "sha512-aDF3S3rK9Q2gey/WAttUlISduDItz5BU3306M9Eyv6/oS40aMprnopshtlKTykxRNIBEZuRMaZAnbrQ4QtKGyw==",
23
+ "license": "BSD-3-Clause",
24
+ "dependencies": {
25
+ "detect-libc": "^2.0.0",
26
+ "https-proxy-agent": "^5.0.0",
27
+ "make-dir": "^3.1.0",
28
+ "node-fetch": "^2.6.7",
29
+ "nopt": "^5.0.0",
30
+ "npmlog": "^5.0.1",
31
+ "rimraf": "^3.0.2",
32
+ "semver": "^7.3.5",
33
+ "tar": "^6.1.11"
34
+ },
35
+ "bin": {
36
+ "node-pre-gyp": "bin/node-pre-gyp"
37
+ }
38
+ },
39
+ "node_modules/@mapbox/node-pre-gyp/node_modules/agent-base": {
40
+ "version": "6.0.2",
41
+ "resolved": "https://registry.npmjs.org/agent-base/-/agent-base-6.0.2.tgz",
42
+ "integrity": "sha512-RZNwNclF7+MS/8bDg70amg32dyeZGZxiDuQmZxKLAlQjr3jGyLx+4Kkk58UO7D2QdgFIQCovuSuZESne6RG6XQ==",
43
+ "license": "MIT",
44
+ "dependencies": {
45
+ "debug": "4"
46
+ },
47
+ "engines": {
48
+ "node": ">= 6.0.0"
49
+ }
50
+ },
51
+ "node_modules/@mapbox/node-pre-gyp/node_modules/debug": {
52
+ "version": "4.4.0",
53
+ "resolved": "https://registry.npmjs.org/debug/-/debug-4.4.0.tgz",
54
+ "integrity": "sha512-6WTZ/IxCY/T6BALoZHaE4ctp9xm+Z5kY/pzYaCHRFeyVhojxlrm+46y68HA6hr0TcwEssoxNiDEUJQjfPZ/RYA==",
55
+ "license": "MIT",
56
+ "dependencies": {
57
+ "ms": "^2.1.3"
58
+ },
59
+ "engines": {
60
+ "node": ">=6.0"
61
+ },
62
+ "peerDependenciesMeta": {
63
+ "supports-color": {
64
+ "optional": true
65
+ }
66
+ }
67
+ },
68
+ "node_modules/@mapbox/node-pre-gyp/node_modules/https-proxy-agent": {
69
+ "version": "5.0.1",
70
+ "resolved": "https://registry.npmjs.org/https-proxy-agent/-/https-proxy-agent-5.0.1.tgz",
71
+ "integrity": "sha512-dFcAjpTQFgoLMzC2VwU+C/CbS7uRL0lWmxDITmqm7C+7F0Odmj6s9l6alZc6AELXhrnggM2CeWSXHGOdX2YtwA==",
72
+ "license": "MIT",
73
+ "dependencies": {
74
+ "agent-base": "6",
75
+ "debug": "4"
76
+ },
77
+ "engines": {
78
+ "node": ">= 6"
79
+ }
80
+ },
81
+ "node_modules/@mapbox/node-pre-gyp/node_modules/ms": {
82
+ "version": "2.1.3",
83
+ "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
84
+ "integrity": "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==",
85
+ "license": "MIT"
86
+ },
87
+ "node_modules/@mapbox/node-pre-gyp/node_modules/rimraf": {
88
+ "version": "3.0.2",
89
+ "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-3.0.2.tgz",
90
+ "integrity": "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==",
91
+ "deprecated": "Rimraf versions prior to v4 are no longer supported",
92
+ "license": "ISC",
93
+ "dependencies": {
94
+ "glob": "^7.1.3"
95
+ },
96
+ "bin": {
97
+ "rimraf": "bin.js"
98
+ },
99
+ "funding": {
100
+ "url": "https://github.com/sponsors/isaacs"
101
+ }
102
+ },
103
+ "node_modules/@tensorflow/tfjs": {
104
+ "version": "4.22.0",
105
+ "resolved": "https://registry.npmjs.org/@tensorflow/tfjs/-/tfjs-4.22.0.tgz",
106
+ "integrity": "sha512-0TrIrXs6/b7FLhLVNmfh8Sah6JgjBPH4mZ8JGb7NU6WW+cx00qK5BcAZxw7NCzxj6N8MRAIfHq+oNbPUNG5VAg==",
107
+ "license": "Apache-2.0",
108
+ "dependencies": {
109
+ "@tensorflow/tfjs-backend-cpu": "4.22.0",
110
+ "@tensorflow/tfjs-backend-webgl": "4.22.0",
111
+ "@tensorflow/tfjs-converter": "4.22.0",
112
+ "@tensorflow/tfjs-core": "4.22.0",
113
+ "@tensorflow/tfjs-data": "4.22.0",
114
+ "@tensorflow/tfjs-layers": "4.22.0",
115
+ "argparse": "^1.0.10",
116
+ "chalk": "^4.1.0",
117
+ "core-js": "3.29.1",
118
+ "regenerator-runtime": "^0.13.5",
119
+ "yargs": "^16.0.3"
120
+ },
121
+ "bin": {
122
+ "tfjs-custom-module": "dist/tools/custom_module/cli.js"
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package.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "face-analysis-backend",
3
+ "version": "1.0.0",
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+ "main": "index.js",
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+ "scripts": {
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+ "test": "echo \"Error: no test specified\" && exit 1",
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+ "start": "node index.js"
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+ },
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+ "keywords": [],
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+ "author": "alpingo23",
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+ "license": "ISC",
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+ "description": "Backend for face analysis",
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+ "dependencies": {
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+ "@tensorflow/tfjs-node": "^4.22.0",
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+ "canvas": "^3.1.0",
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+ "express": "^4.21.2",
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+ "express-fileupload": "^1.5.1",
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+ "face-api.js": "^0.22.2"
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+ }
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+ }