Face Detection and Overlay Image Project

This project is meant to explore and understand the functions of Telegram bots. This project uses the face-api.js library to detect faces in an image and overlay an image on the detected faces.

Setup

Clone the repository.
Run npm install to install the dependencies.
Create a .env file in the root directory and add your Telegram bot token as TELEGRAM_BOT_TOKEN.

Arm64

Note: For arm64 architecture, there is an issue with canvas library. To fix this issue run brew install pkg-config cairo pango libpng jpeg giflib librsvg first, given that you have homebrew installed, and then run npm install.

https://brew.sh/

https://github.com/Automattic/node-canvas/issues/1662#issuecomment-1465269869

To get the telegram bot token, visit https://t.me/BotFather and create a new bot.

Telegram documentation: https://core.telegram.org/bots/tutorial

MongoDB

Get your MongoDB cert and the DB's URI from the website. You might have to whitelist connections from your IP or server in your MongoDB's settings

Usage

Run node index.js to start the application.

Run npm run start to start the application in the background.

Open Telegram, go to your bot, send /start to start the bot and send it a photo

Project Structure

index.js: The main application file. It sets up the face detection models, defines the functions for face detection and overlaying images, and handles the Telegram bot interactions.
assets/: Directory containing the overlay image.
models/: Directory containing the face detection models. The models can be downloaded from the face-api.js Github repository.

Functions

detectFaces(imagePath): Detects faces in the given image.
overlayImageOnFaces(imagePath, detections): Overlays an image on the detected faces.

Environment Variables

TELEGRAM_BOT_TOKEN: Your Telegram bot token.
MONGODB_URI: Your MongoDB URI.
MONGO_DB: Your MongoDB database name.
MONGODB_CERT_PATH: Path to your MongoDB certificate. (If you're using cloud MongoDB)
MONGODB_COLLECTION: Your MongoDB collection name.

Dependencies

node-telegram-bot-api: For interacting with the Telegram API.
face-api.js: For face detection.
canvas: For image manipulation.
dotenv: For loading environment variables from a .env file.
mongodb: For connecting to the MongoDB database.
pm2: For managing the application in the background.

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