AI-Based Human Body Measurement System for Tailoring & Fashion E-Commerce

This project is a real-time body measurement API built with Flask, MediaPipe, OpenCV, and PyTorch. By analyzing front and side pose images of a person, it calculates accurate human body measurements useful for tailoring, clothing size prediction, and virtual fitting rooms.

📸 Just send front and side pose images (captured using a smartphone or webcam) to this API, and receive key body measurements in centimeters — perfect for fashion retail platforms and tailor-made garment businesses.

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Features

• Real-time image-based body measurement
• AI-powered depth estimation using MiDaS
• Measurement accuracy with a deviation of ±2-3 cm
• Calibrates scale using an A4 paper as a reference object
• Easily integratable into fashion e-commerce or tailoring platforms
• No external APIs — runs entirely on your local or server environment

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Libraries Used

Library	Purpose
Flask	To expose a simple HTTP API
OpenCV	For image processing and contour detection
MediaPipe	For pose landmark detection (shoulders, hips, etc.)
PyTorch	For AI-based depth estimation using MiDaS
torchvision	Support for model loading & image transformations

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How It Works

1. Detects key landmarks using MediaPipe Pose (shoulders, hips, knees, ankles).
2. Uses A4 paper in the image to calibrate real-world scale from pixels.
3. Enhances width and depth estimation using the MiDaS depth AI model.
4. Calculates measurements using geometric approximations (elliptical body model).
5. Returns measurement data in JSON format.

How to Run

pip install -r requirements.txt
python app.py

API Endpoint

POST /measurements

ℹ️ For reference, see the images placed in the root directory.

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Request

Send a multipart/form-data POST request with the following fields:

• front_image: JPEG/PNG image captured from the front (required)
• side_image (optional): JPEG/PNG image from the side (for better accuracy)
• user_height_cm : Real height of the person (in cm) for more precise calibration

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Example using curl

curl -X POST http://localhost:5000/measurements \
  -F "front_image=@front.jpg" \
  -F "side_image=@side.jpg" \
  -F "user_height_cm=170"

Measurements Provided

Measurement Name	Description
shoulder_width	Distance between left and right shoulders
chest_width	Width at chest level
chest_circumference	Estimated chest circumference
waist_width	Width at waist level
waist	Estimated waist circumference
hip_width	Distance between left and right hips
hip_circumference	Estimated hip circumference (if side image is given)

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📌 Note:
The system uses AI depth maps and contour-based width detection.
Final measurements may have a ±2–3 cm variance depending on image quality and user alignment.

Integration in Fashion E-Commerce

This solution is plug-and-play for:

• E-commerce brands offering size suggestions or virtual try-ons.
• Tailoring platforms wanting remote client measurements.
• Clothing manufacturers personalizing size charts for customers.
• Fashion mobile apps for custom-fitted clothing suggestions.

Simply integrate this API into your frontend — mobile or web — to collect two photos and retrieve exact measurements.

🤝 Contributions

PRs and suggestions are welcome! Fork this repo, raise an issue, or open a pull request.

📜 License

MIT License. Feel free to use this for personal or commercial projects — just give credit.