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---
title: Virtual Try-On App
emoji: 👕
colorFrom: blue
colorTo: green
sdk: docker
app_port: 8000
pinned: false
---
# Advanced Virtual Try-On
A web-based virtual try-on application that allows users to try on clothing virtually using their webcam. Built with Python, OpenCV, and Shiny.
## Features
- Real-time virtual try-on using webcam
- Support for transparent background garment images
- Adjustable garment fitting parameters
- Multiple UI modes (Shiny web interface, Tkinter desktop app)
- Docker support for easy deployment
## Prerequisites
- Python 3.9 or higher
- Docker and Docker Compose (for containerized deployment)
- Webcam
- OpenPose models (will be downloaded automatically on first run)
## Installation
### Local Development
1. Clone the repository:
```bash
git clone <repository-url>
cd virtual-tryon
```
2. Create a virtual environment and activate it:
```bash
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
### Docker Deployment
1. Build and run using Docker Compose:
```bash
docker-compose up --build
```
The application will be available at http://localhost:8000
## Usage
### Web Interface (Shiny)
1. Start the application:
```bash
python app.py --shiny
```
2. Open your web browser and navigate to http://localhost:8000
3. Upload a garment image with transparent background
4. Click "Start Try-On" to begin the virtual try-on session
5. Adjust the garment fit using the sliders:
- Width Scale: Adjust the width of the garment
- Height Scale: Adjust the height of the garment
- Collar Position: Adjust the vertical position of the garment
- Show Skeleton: Toggle the display of pose estimation skeleton
### Desktop Application (Tkinter)
1. Start the application:
```bash
python app.py --tkinter
```
2. Use the GUI controls to upload a garment and adjust parameters
### Command Line Mode
1. Run with a specific garment:
```bash
python app.py --garment path/to/garment.png
```
## Directory Structure
- `models/`: Directory for storing OpenPose models
- `temp/`: Directory for temporary files
- `app.py`: Main application file
- `requirements.txt`: Python dependencies
- `Dockerfile`: Container configuration
- `docker-compose.yml`: Docker Compose configuration
## Troubleshooting
1. Webcam not detected:
- Ensure your webcam is properly connected
- Check if the webcam is being used by another application
- For Docker deployment, ensure proper device access is configured
2. Garment not displaying correctly:
- Use images with transparent backgrounds (PNG format recommended)
- Ensure the garment image is not too large or too small
- Try adjusting the width and height scales
3. Performance issues:
- Reduce the camera resolution
- Close other resource-intensive applications
- For Docker deployment, ensure proper resource allocation
## License
This project is licensed under the MIT License - see the LICENSE file for details. |