🛰️ WebHTC: XR Accessibility Suite

WebHTC is a professional-grade, high-performance full-body and hand tracking solution that uses standard webcams and neural networks to inject tracking data into SteamVR. No expensive Lighthouse base stations or specialized trackers required.

---

🚀 Key Features

• Neural Tracking Architecture: Powered by MediaPipe for high-precision pose and hand estimation.
• Zero-Hardware FBT: Full body tracking with just a single RGB webcam.
• Virtual Motion Tracker (VMT) Integration: Seamless communication with SteamVR.
• Retro-Cyberpunk Interface: Professional console-style dashboard with live feedback.
• System Diagnostics: Built-in wizard to verify SteamVR and driver connectivity.
• Bilingual Support: Full support for English and Russian operators.

---

🛠️ Installation & Setup

1. Prerequisites

• SteamVR: Must be installed and running.
• Python 3.8+: Recommended version is 3.10.

2. Install VMT Driver (Crucial)

WebHTC transmits data via the Virtual Motion Tracker protocol.

1. Download: Get the latest VMT release from VMT GitHub.
2. Install:
   • Extract the downloaded archive.
   • Run VMT_Manager.exe.
   • Click the "Install" button.
   • Restart SteamVR.
3. SteamVR Configuration:
   • Open SteamVR Settings -> Manage Trackers.
   • Ensure "VMT" trackers are assigned to the correct roles (Waist, Left Foot, Right Foot).

3. Clone & Install Dependencies

git clone https://github.com/yourusername/WebHTC.git
cd WebHTC
pip install -r requirements.txt

4. Running the Suite

python tracking.py

---

🎮 How to Use

1. Launch SteamVR and ensure your headset is active.
2. Start WebHTC and follow the Boot Sequence diagnostics.
3. On the first run, the Setup Wizard will guide you through the handshake process.
4. Stand in view of your camera (full body visibility recommended).
5. Use the Spatial Calibration sliders in the dashboard to match your physical position with the VR space.
6. Pinch Gesture: To trigger a "Click/Trigger" action in VR, join the tips of your thumb and index finger.

---

📂 Project Structure

• tracking.py: Main application entry point and UI.
• tracking_engine.py: Core neural processing and OSC transmission logic.
• diagnostics.py: System health check and dependency verification.
• setup_wizard.py: Multi-step onboarding for new users.
• boot_sequence.py: Stylized startup splash screen.
• config_manager.py: Persistent settings management.

---

🤝 Contributing & License

This project is open-source. Feel free to submit pull requests or report issues. License: MIT

---

🛰️ WebHTC: XR Accessibility Suite (RU)

WebHTC — это профессиональное решение для трекинга всего тела и рук, которое использует обычную веб-камеру и нейронные сети для передачи данных в SteamVR. Никаких дорогих базовых станций или специальных трекеров.

🛠️ Установка и Настройка

1. Драйвер VMT (Обязательно)

WebHTC передает данные через протокол Virtual Motion Tracker.

1. Скачать: Загрузите последнюю версию VMT с VMT GitHub.
2. Установить:
   • Распакуйте архив.
   • Запустите VMT_Manager.exe.
   • Нажмите кнопку "Install".
   • Перезапустите SteamVR.
3. Настройка SteamVR:
   • Настройки SteamVR -> Устройства -> Управление трекерами.
   • Убедитесь, что трекеры VMT назначены на нужные роли (Пояс, Левая нога, Правая нога).

2. Клонирование и Запуск

git clone https://github.com/yourusername/WebHTC.git
cd WebHTC

3. Установка зависимостей

pip install -r requirements.txt

4. Запуск

python tracking.py

---

🤝 Поддержка и Лицензия

Свободно для распространения и использования, при возникновении проблем, создайте свою ветку в issues. Лицензия: MIT