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Stitch Perfect

Body Measurement for Tailoring

Body Measurement App for Tailoring

A Flutter-based mobile app that allows users to take photos in specific poses, processes the images on a backend server using advanced machine learning models, and provides accurate body measurements for custom tailoring. The app ensures a seamless, secure, and user-friendly experience.

Features

  • Photo Capture: Guides users to capture images in specific poses for accurate measurements.
  • Server-side Processing: Images are uploaded to a secure backend for processing using advanced ML models.
  • Measurement Extraction: Fetches and calculates key body measurements such as:
    • Shoulder Width
    • Chest Circumference
    • Waist Circumference
    • Sleeve lenght
    • Outseam Length (for pants)
  • Real-Time Feedback: Displays measurement results in a clean and user-friendly interface.

Tech Stack

Frontend

  • Framework: Flutter (Dart)
  • Libraries:
    • camera (for capturing images)
    • image_picker (optional for gallery access)
    • http (for API calls to the backend)

Backend

  • Framework: Flask
  • Image Processing: MediaPipe, OpenCV, Human Outline Detection
  • Database: (Optional) PostgreSQL for logging or tailor integration.

Project Setup

1. Prerequisites

  • Flutter SDK: Install Flutter
  • Backend server setup with the mediapipe and openCV ML models.
  • Device with a working camera.

2. Installation

  1. Clone the repository: 
    git clone https://github.com/joshsoftware/hackathon-team-1.git
cd body-measurement-app
  2. Install dependencies: 
    flutter pub get
  3. Run the app: 
    flutter run

3. Backend Setup

  • Ensure your backend is up and running to process the images.
  • Use the provided API endpoint to connect the app with the backend.

How It Works

User Flow

  1. Capture Photos: Users are guided to take photos in specific poses.
  2. Upload to Server: Captured images are securely uploaded to the backend.
  3. Image Processing: The backend processes images using ML models to detect keypoints and calculate measurements.
  4. Retrieve Results: The app fetches the measurements and displays them in a user-friendly format.

Key Measurements

  • Shoulder Width: Distance between shoulder keypoints.
  • Chest/Bust Circumference: Estimated from chest and back keypoints.
  • Waist Circumference: Calculated from the narrowest torso keypoints.
  • Shirt Length: Shirt Length
  • Arm Length: Length between shoulder and wrist point
  • Outseam Length: Length of Leg

To-Do

  • Add AR-based guidelines for pose correction.
  • Add more measurements eg bicep, neck measurements, etc
  • Enhance measurement accuracy with depth data from LiDAR (for supported devices).
  • Integrate tailor APIs for seamless measurement sharing.
  • Add multi-language support for global users.

Contributing

We welcome contributions to improve this app!

  1. Fork the repository.
  2. Create a feature branch: 
    git checkout -b feature-name
  3. Commit your changes: 
    git commit -m "Add new feature"
  4. Push to your branch: 
    git push origin feature-name
  5. Open a pull request.

Contact

For any questions or collaboration requests, feel free to reach out: