Introducing "StyleLab," an innovative app revolutionizing the way you discover and refine your personal fashion sense. Using cutting-edge computer vision technology, StyleLab enables you to virtually try on a vast array of clothing items, all from the comfort of your device.
With a user-friendly interface, simply activate your camera to generate a lifelike digital representation of yourself. StyleLab employs intricate algorithms to identify key body landmarks, ensuring a precise and realistic fit for every garment.
Navigate through an immersive virtual wardrobe, mix and match outfits, and witness the transformation in real-time. The app's intuitive design and responsive features make the exploration seamless, providing you with a dynamic and interactive fashion journey.
StyleLab isn't just about trying on clothes; it's about discovering and embracing your signature style with the help of cutting-edge technology. Elevate your fashion experience, redefine your wardrobe, and confidently embrace a style that's uniquely yours with StyleLab.
This script creates a virtual clothing try-on application using a webcam. Here's a brief rundown of its operation:
Setup: Initializes webcam capture, pose detection, and loads shirt and button images. Processing Loop: Continuously captures frames from the webcam and detects human poses in each frame. Shirt Display: Calculates where to overlay a shirt image on the person based on pose detection. Interaction: Allows users to 'press' virtual left and right buttons by moving their hands, changing the displayed shirt. Feedback: Provides visual feedback, such as progress indicators, when interacting with buttons. Output: Displays the webcam feed with the virtual shirt and buttons, updating in real-time for an interactive try-on experience.
cd backend
pip install -r requirements.txt
python main.py
- Raise Left/Right Hand to switch between photos